diff --git "a/NWAN/NWAN_2.log" "b/NWAN/NWAN_2.log" new file mode 100644--- /dev/null +++ "b/NWAN/NWAN_2.log" @@ -0,0 +1,5604 @@ +[2024-06-08 16:51:48,427] - INFO: LOGGER SETUP COMPLETED +[2024-06-08 16:51:48,539] - INFO: DATASET LOADED +[2024-06-08 16:51:49,857] - INFO: USING FRESH MODEL +[2024-06-08 16:51:49,858] - INFO: Device: cuda +[2024-06-08 16:52:05,432] - INFO: Load Pretrained model at epoch 2165 +[2024-06-08 16:52:41,828] - INFO: Epoch 2166/9999, Iter 108260: Loss = 0.012320352718234062, lr = [0.0001] +[2024-06-08 16:53:27,077] - INFO: Epoch 2166/9999, Iter 108280: Loss = 0.010341611690819263, lr = [0.0001] +[2024-06-08 16:54:15,384] - INFO: Epoch 2167/9999, Iter 108300: Loss = 0.011025160551071167, lr = [0.0001] +[2024-06-08 16:54:57,360] - INFO: Epoch 2167/9999, Iter 108320: Loss = 0.012710392475128174, lr = [0.0001] +[2024-06-08 16:55:38,100] - INFO: Epoch 2167/9999, Iter 108340: Loss = 0.014012799598276615, lr = [0.0001] +[2024-06-08 16:56:19,938] - INFO: Epoch 2168/9999, Iter 108360: Loss = 0.012062473222613335, lr = [0.0001] +[2024-06-08 16:57:00,632] - INFO: Epoch 2168/9999, Iter 108380: Loss = 0.01215425506234169, lr = [0.0001] +[2024-06-08 16:57:41,358] - INFO: Epoch 2169/9999, Iter 108400: Loss = 0.015482948161661625, lr = [0.0001] +[2024-06-08 16:58:22,178] - INFO: Epoch 2169/9999, Iter 108420: Loss = 0.009449862875044346, lr = [0.0001] +[2024-06-08 16:59:01,844] - INFO: Epoch 2169/9999, Iter 108440: Loss = 0.008852055296301842, lr = [0.0001] +[2024-06-08 16:59:43,368] - INFO: Epoch 2170/9999, Iter 108460: Loss = 0.01132853515446186, lr = [0.0001] +[2024-06-08 17:00:23,876] - INFO: Epoch 2170/9999, Iter 108480: Loss = 0.015895072370767593, lr = [0.0001] +[2024-06-08 17:00:59,896] - INFO: Evaluate at epoch 2170! +[2024-06-08 17:01:05,368] - INFO: Eval (with pad) PSNR (max): 38.154 (2055) SSIM (max): 0.9614 (2140) +[2024-06-08 17:01:05,369] - INFO: Eval (with pad) PSNR (current): 38.137 (2170) SSIM (current): 0.9612 (2170) +[2024-06-08 17:01:05,369] - INFO: Evaluation over. +[2024-06-08 17:01:10,184] - INFO: Epoch 2171/9999, Iter 108500: Loss = 0.014423776417970657, lr = [0.0001] +[2024-06-08 17:01:50,497] - INFO: Epoch 2171/9999, Iter 108520: Loss = 0.014628988690674305, lr = [0.0001] +[2024-06-08 17:02:31,281] - INFO: Epoch 2171/9999, Iter 108540: Loss = 0.011432315222918987, lr = [0.0001] +[2024-06-08 17:03:11,872] - INFO: Epoch 2172/9999, Iter 108560: Loss = 0.014296529814600945, lr = [0.0001] +[2024-06-08 17:03:51,535] - INFO: Epoch 2172/9999, Iter 108580: Loss = 0.008270030841231346, lr = [0.0001] +[2024-06-08 17:04:31,283] - INFO: Epoch 2173/9999, Iter 108600: Loss = 0.01140175573527813, lr = [0.0001] +[2024-06-08 17:05:13,273] - INFO: Epoch 2173/9999, Iter 108620: Loss = 0.02141432836651802, lr = [0.0001] +[2024-06-08 17:05:54,565] - INFO: Epoch 2173/9999, Iter 108640: Loss = 0.013351659290492535, lr = [0.0001] +[2024-06-08 17:06:36,219] - INFO: Epoch 2174/9999, Iter 108660: Loss = 0.0179463941603899, lr = [0.0001] +[2024-06-08 17:07:16,411] - INFO: Epoch 2174/9999, Iter 108680: Loss = 0.0130848353728652, lr = [0.0001] +[2024-06-08 17:07:57,022] - INFO: Epoch 2175/9999, Iter 108700: Loss = 0.00933537445962429, lr = [0.0001] +[2024-06-08 17:08:39,208] - INFO: Epoch 2175/9999, Iter 108720: Loss = 0.01825125142931938, lr = [0.0001] +[2024-06-08 17:09:19,418] - INFO: Epoch 2175/9999, Iter 108740: Loss = 0.012188101187348366, lr = [0.0001] +[2024-06-08 17:09:35,532] - INFO: Evaluate at epoch 2175! +[2024-06-08 17:09:39,825] - INFO: Eval (with pad) PSNR (max): 38.154 (2055) SSIM (max): 0.9614 (2140) +[2024-06-08 17:09:39,826] - INFO: Eval (with pad) PSNR (current): 38.101 (2175) SSIM (current): 0.9613 (2175) +[2024-06-08 17:09:39,826] - INFO: Evaluation over. +[2024-06-08 17:10:06,701] - INFO: Epoch 2176/9999, Iter 108760: Loss = 0.013213040307164192, lr = [0.0001] +[2024-06-08 17:10:46,309] - INFO: Epoch 2176/9999, Iter 108780: Loss = 0.013024036772549152, lr = [0.0001] +[2024-06-08 17:11:26,544] - INFO: Epoch 2177/9999, Iter 108800: Loss = 0.007665829733014107, lr = [0.0001] +[2024-06-08 17:12:08,129] - INFO: Epoch 2177/9999, Iter 108820: Loss = 0.011865180917084217, lr = [0.0001] +[2024-06-08 17:12:47,005] - INFO: Epoch 2177/9999, Iter 108840: Loss = 0.009341654367744923, lr = [0.0001] +[2024-06-08 17:13:27,925] - INFO: Epoch 2178/9999, Iter 108860: Loss = 0.016078319400548935, lr = [0.0001] +[2024-06-08 17:14:08,446] - INFO: Epoch 2178/9999, Iter 108880: Loss = 0.013594640418887138, lr = [0.0001] +[2024-06-08 17:14:49,230] - INFO: Epoch 2179/9999, Iter 108900: Loss = 0.01711905375123024, lr = [0.0001] +[2024-06-08 17:15:29,337] - INFO: Epoch 2179/9999, Iter 108920: Loss = 0.01430542767047882, lr = [0.0001] +[2024-06-08 17:16:09,569] - INFO: Epoch 2179/9999, Iter 108940: Loss = 0.011026293970644474, lr = [0.0001] +[2024-06-08 17:16:48,695] - INFO: Epoch 2180/9999, Iter 108960: Loss = 0.00793379358947277, lr = [0.0001] +[2024-06-08 17:17:29,131] - INFO: Epoch 2180/9999, Iter 108980: Loss = 0.009088734164834023, lr = [0.0001] +[2024-06-08 17:18:04,601] - INFO: Evaluate at epoch 2180! +[2024-06-08 17:18:08,987] - INFO: Eval (with pad) PSNR (max): 38.154 (2055) SSIM (max): 0.9614 (2140) +[2024-06-08 17:18:08,987] - INFO: Eval (with pad) PSNR (current): 38.134 (2180) SSIM (current): 0.9613 (2180) +[2024-06-08 17:18:08,987] - INFO: Evaluation over. +[2024-06-08 17:18:14,974] - INFO: Epoch 2181/9999, Iter 109000: Loss = 0.01066740695387125, lr = [0.0001] +[2024-06-08 17:18:56,232] - INFO: Epoch 2181/9999, Iter 109020: Loss = 0.011275379918515682, lr = [0.0001] +[2024-06-08 17:19:36,675] - INFO: Epoch 2181/9999, Iter 109040: Loss = 0.010876618325710297, lr = [0.0001] +[2024-06-08 17:20:19,373] - INFO: Epoch 2182/9999, Iter 109060: Loss = 0.017074789851903915, lr = [0.0001] +[2024-06-08 17:20:59,960] - INFO: Epoch 2182/9999, Iter 109080: Loss = 0.011201450601220131, lr = [0.0001] +[2024-06-08 17:21:39,684] - INFO: Epoch 2183/9999, Iter 109100: Loss = 0.015600142069160938, lr = [0.0001] +[2024-06-08 17:22:21,520] - INFO: Epoch 2183/9999, Iter 109120: Loss = 0.013387290760874748, lr = [0.0001] +[2024-06-08 17:23:02,320] - INFO: Epoch 2183/9999, Iter 109140: Loss = 0.011736266314983368, lr = [0.0001] +[2024-06-08 17:23:42,180] - INFO: Epoch 2184/9999, Iter 109160: Loss = 0.01447982806712389, lr = [0.0001] +[2024-06-08 17:24:22,501] - INFO: Epoch 2184/9999, Iter 109180: Loss = 0.019592298194766045, lr = [0.0001] +[2024-06-08 17:25:02,693] - INFO: Epoch 2185/9999, Iter 109200: Loss = 0.012382477521896362, lr = [0.0001] +[2024-06-08 17:25:43,529] - INFO: Epoch 2185/9999, Iter 109220: Loss = 0.012901224195957184, lr = [0.0001] +[2024-06-08 17:26:23,868] - INFO: Epoch 2185/9999, Iter 109240: Loss = 0.00923855323344469, lr = [0.0001] +[2024-06-08 17:26:40,179] - INFO: Evaluate at epoch 2185! +[2024-06-08 17:26:44,407] - INFO: Eval (with pad) PSNR (max): 38.154 (2055) SSIM (max): 0.9614 (2140) +[2024-06-08 17:26:44,407] - INFO: Eval (with pad) PSNR (current): 38.046 (2185) SSIM (current): 0.9610 (2185) +[2024-06-08 17:26:44,408] - INFO: Evaluation over. +[2024-06-08 17:27:09,328] - INFO: Epoch 2186/9999, Iter 109260: Loss = 0.014423386193811893, lr = [0.0001] +[2024-06-08 17:27:51,180] - INFO: Epoch 2186/9999, Iter 109280: Loss = 0.013742014765739441, lr = [0.0001] +[2024-06-08 17:28:31,657] - INFO: Epoch 2187/9999, Iter 109300: Loss = 0.009619735181331635, lr = [0.0001] +[2024-06-08 17:29:12,493] - INFO: Epoch 2187/9999, Iter 109320: Loss = 0.013970023952424526, lr = [0.0001] +[2024-06-08 17:29:51,713] - INFO: Epoch 2187/9999, Iter 109340: Loss = 0.011331290937960148, lr = [0.0001] +[2024-06-08 17:30:33,123] - INFO: Epoch 2188/9999, Iter 109360: Loss = 0.014994529075920582, lr = [0.0001] +[2024-06-08 17:31:12,128] - INFO: Epoch 2188/9999, Iter 109380: Loss = 0.015399731695652008, lr = [0.0001] +[2024-06-08 17:31:52,245] - INFO: Epoch 2189/9999, Iter 109400: Loss = 0.01110087987035513, lr = [0.0001] +[2024-06-08 17:32:33,684] - INFO: Epoch 2189/9999, Iter 109420: Loss = 0.01360976044088602, lr = [0.0001] +[2024-06-08 17:33:12,751] - INFO: Epoch 2189/9999, Iter 109440: Loss = 0.01026924978941679, lr = [0.0001] +[2024-06-08 17:33:53,795] - INFO: Epoch 2190/9999, Iter 109460: Loss = 0.011731090024113655, lr = [0.0001] +[2024-06-08 17:34:34,827] - INFO: Epoch 2190/9999, Iter 109480: Loss = 0.00647925678640604, lr = [0.0001] +[2024-06-08 17:35:10,828] - INFO: Evaluate at epoch 2190! +[2024-06-08 17:35:15,216] - INFO: Eval (with pad) PSNR (max): 38.154 (2055) SSIM (max): 0.9614 (2140) +[2024-06-08 17:35:15,216] - INFO: Eval (with pad) PSNR (current): 38.119 (2190) SSIM (current): 0.9612 (2190) +[2024-06-08 17:35:15,217] - INFO: Evaluation over. +[2024-06-08 17:35:20,771] - INFO: Epoch 2191/9999, Iter 109500: Loss = 0.013394339010119438, lr = [0.0001] +[2024-06-08 17:36:02,219] - INFO: Epoch 2191/9999, Iter 109520: Loss = 0.010769998654723167, lr = [0.0001] +[2024-06-08 17:36:43,822] - INFO: Epoch 2191/9999, Iter 109540: Loss = 0.012815873138606548, lr = [0.0001] +[2024-06-08 17:37:24,444] - INFO: Epoch 2192/9999, Iter 109560: Loss = 0.011969906277954578, lr = [0.0001] +[2024-06-08 17:38:06,065] - INFO: Epoch 2192/9999, Iter 109580: Loss = 0.02162093110382557, lr = [0.0001] +[2024-06-08 17:38:45,979] - INFO: Epoch 2193/9999, Iter 109600: Loss = 0.01109048631042242, lr = [0.0001] +[2024-06-08 17:39:27,081] - INFO: Epoch 2193/9999, Iter 109620: Loss = 0.012512949295341969, lr = [0.0001] +[2024-06-08 17:40:07,319] - INFO: Epoch 2193/9999, Iter 109640: Loss = 0.01121617667376995, lr = [0.0001] +[2024-06-08 17:40:49,379] - INFO: Epoch 2194/9999, Iter 109660: Loss = 0.010787217877805233, lr = [0.0001] +[2024-06-08 17:41:29,803] - INFO: Epoch 2194/9999, Iter 109680: Loss = 0.009712179191410542, lr = [0.0001] +[2024-06-08 17:42:09,796] - INFO: Epoch 2195/9999, Iter 109700: Loss = 0.015045725740492344, lr = [0.0001] +[2024-06-08 17:42:51,103] - INFO: Epoch 2195/9999, Iter 109720: Loss = 0.012118982151150703, lr = [0.0001] +[2024-06-08 17:43:30,328] - INFO: Epoch 2195/9999, Iter 109740: Loss = 0.013063497841358185, lr = [0.0001] +[2024-06-08 17:43:46,117] - INFO: Evaluate at epoch 2195! +[2024-06-08 17:43:50,526] - INFO: Eval (with pad) PSNR (max): 38.154 (2055) SSIM (max): 0.9614 (2140) +[2024-06-08 17:43:50,526] - INFO: Eval (with pad) PSNR (current): 38.113 (2195) SSIM (current): 0.9613 (2195) +[2024-06-08 17:43:50,526] - INFO: Evaluation over. +[2024-06-08 17:44:15,544] - INFO: Epoch 2196/9999, Iter 109760: Loss = 0.009325520135462284, lr = [0.0001] +[2024-06-08 17:44:57,192] - INFO: Epoch 2196/9999, Iter 109780: Loss = 0.013708071783185005, lr = [0.0001] +[2024-06-08 17:45:36,938] - INFO: Epoch 2197/9999, Iter 109800: Loss = 0.019944239407777786, lr = [0.0001] +[2024-06-08 17:46:19,196] - INFO: Epoch 2197/9999, Iter 109820: Loss = 0.01549932174384594, lr = [0.0001] +[2024-06-08 17:46:59,607] - INFO: Epoch 2197/9999, Iter 109840: Loss = 0.015319401398301125, lr = [0.0001] +[2024-06-08 17:47:40,266] - INFO: Epoch 2198/9999, Iter 109860: Loss = 0.023848500102758408, lr = [0.0001] +[2024-06-08 17:48:20,206] - INFO: Epoch 2198/9999, Iter 109880: Loss = 0.010361336171627045, lr = [0.0001] +[2024-06-08 17:48:57,927] - INFO: Epoch 2199/9999, Iter 109900: Loss = 0.009451192803680897, lr = [0.0001] +[2024-06-08 17:49:38,837] - INFO: Epoch 2199/9999, Iter 109920: Loss = 0.007942951284348965, lr = [0.0001] +[2024-06-08 17:50:19,613] - INFO: Epoch 2199/9999, Iter 109940: Loss = 0.012164604850113392, lr = [0.0001] +[2024-06-08 17:51:01,381] - INFO: Epoch 2200/9999, Iter 109960: Loss = 0.013519203290343285, lr = [0.0001] +[2024-06-08 17:51:42,388] - INFO: Epoch 2200/9999, Iter 109980: Loss = 0.013038665987551212, lr = [0.0001] +[2024-06-08 17:52:18,277] - INFO: Evaluate at epoch 2200! +[2024-06-08 17:52:23,974] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 17:52:23,975] - INFO: Eval (with pad) PSNR (current): 38.159 (2200) SSIM (current): 0.9613 (2200) +[2024-06-08 17:52:23,975] - INFO: Evaluation over. +[2024-06-08 17:52:29,643] - INFO: Epoch 2201/9999, Iter 110000: Loss = 0.01041855663061142, lr = [0.0001] +[2024-06-08 17:53:11,965] - INFO: Epoch 2201/9999, Iter 110020: Loss = 0.01569746993482113, lr = [0.0001] +[2024-06-08 17:53:52,161] - INFO: Epoch 2201/9999, Iter 110040: Loss = 0.012810541316866875, lr = [0.0001] +[2024-06-08 17:54:32,946] - INFO: Epoch 2202/9999, Iter 110060: Loss = 0.006622900255024433, lr = [0.0001] +[2024-06-08 17:55:13,976] - INFO: Epoch 2202/9999, Iter 110080: Loss = 0.010453490540385246, lr = [0.0001] +[2024-06-08 17:55:54,016] - INFO: Epoch 2203/9999, Iter 110100: Loss = 0.0131493229418993, lr = [0.0001] +[2024-06-08 17:56:34,802] - INFO: Epoch 2203/9999, Iter 110120: Loss = 0.011016243137419224, lr = [0.0001] +[2024-06-08 17:57:16,299] - INFO: Epoch 2203/9999, Iter 110140: Loss = 0.016892720013856888, lr = [0.0001] +[2024-06-08 17:57:56,862] - INFO: Epoch 2204/9999, Iter 110160: Loss = 0.016020897775888443, lr = [0.0001] +[2024-06-08 17:58:36,985] - INFO: Epoch 2204/9999, Iter 110180: Loss = 0.013416496105492115, lr = [0.0001] +[2024-06-08 17:59:15,348] - INFO: Epoch 2205/9999, Iter 110200: Loss = 0.013107617385685444, lr = [0.0001] +[2024-06-08 17:59:57,916] - INFO: Epoch 2205/9999, Iter 110220: Loss = 0.01801798678934574, lr = [0.0001] +[2024-06-08 18:00:36,966] - INFO: Epoch 2205/9999, Iter 110240: Loss = 0.012812263332307339, lr = [0.0001] +[2024-06-08 18:00:52,529] - INFO: Evaluate at epoch 2205! +[2024-06-08 18:00:56,878] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 18:00:56,878] - INFO: Eval (with pad) PSNR (current): 38.121 (2205) SSIM (current): 0.9612 (2205) +[2024-06-08 18:00:56,878] - INFO: Evaluation over. +[2024-06-08 18:01:24,154] - INFO: Epoch 2206/9999, Iter 110260: Loss = 0.012945402413606644, lr = [0.0001] +[2024-06-08 18:02:04,453] - INFO: Epoch 2206/9999, Iter 110280: Loss = 0.011434875428676605, lr = [0.0001] +[2024-06-08 18:02:43,399] - INFO: Epoch 2207/9999, Iter 110300: Loss = 0.016892084851861, lr = [0.0001] +[2024-06-08 18:03:24,474] - INFO: Epoch 2207/9999, Iter 110320: Loss = 0.011206020601093769, lr = [0.0001] +[2024-06-08 18:04:03,615] - INFO: Epoch 2207/9999, Iter 110340: Loss = 0.01713441126048565, lr = [0.0001] +[2024-06-08 18:04:44,533] - INFO: Epoch 2208/9999, Iter 110360: Loss = 0.01636207289993763, lr = [0.0001] +[2024-06-08 18:05:26,330] - INFO: Epoch 2208/9999, Iter 110380: Loss = 0.012233301997184753, lr = [0.0001] +[2024-06-08 18:06:06,486] - INFO: Epoch 2209/9999, Iter 110400: Loss = 0.013384141027927399, lr = [0.0001] +[2024-06-08 18:06:46,947] - INFO: Epoch 2209/9999, Iter 110420: Loss = 0.009948807768523693, lr = [0.0001] +[2024-06-08 18:07:26,157] - INFO: Epoch 2209/9999, Iter 110440: Loss = 0.009404981508851051, lr = [0.0001] +[2024-06-08 18:08:06,451] - INFO: Epoch 2210/9999, Iter 110460: Loss = 0.011936073191463947, lr = [0.0001] +[2024-06-08 18:08:48,052] - INFO: Epoch 2210/9999, Iter 110480: Loss = 0.01640276610851288, lr = [0.0001] +[2024-06-08 18:09:24,525] - INFO: Evaluate at epoch 2210! +[2024-06-08 18:09:28,732] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 18:09:28,732] - INFO: Eval (with pad) PSNR (current): 38.127 (2210) SSIM (current): 0.9613 (2210) +[2024-06-08 18:09:28,732] - INFO: Evaluation over. +[2024-06-08 18:09:33,950] - INFO: Epoch 2211/9999, Iter 110500: Loss = 0.018505649641156197, lr = [0.0001] +[2024-06-08 18:10:14,833] - INFO: Epoch 2211/9999, Iter 110520: Loss = 0.014615226536989212, lr = [0.0001] +[2024-06-08 18:10:55,628] - INFO: Epoch 2211/9999, Iter 110540: Loss = 0.014866935089230537, lr = [0.0001] +[2024-06-08 18:11:37,151] - INFO: Epoch 2212/9999, Iter 110560: Loss = 0.013926826417446136, lr = [0.0001] +[2024-06-08 18:12:16,109] - INFO: Epoch 2212/9999, Iter 110580: Loss = 0.012872599065303802, lr = [0.0001] +[2024-06-08 18:12:56,008] - INFO: Epoch 2213/9999, Iter 110600: Loss = 0.01198105700314045, lr = [0.0001] +[2024-06-08 18:13:37,553] - INFO: Epoch 2213/9999, Iter 110620: Loss = 0.013517111539840698, lr = [0.0001] +[2024-06-08 18:14:18,022] - INFO: Epoch 2213/9999, Iter 110640: Loss = 0.015059133060276508, lr = [0.0001] +[2024-06-08 18:14:56,320] - INFO: Epoch 2214/9999, Iter 110660: Loss = 0.014397606253623962, lr = [0.0001] +[2024-06-08 18:15:37,694] - INFO: Epoch 2214/9999, Iter 110680: Loss = 0.009516443125903606, lr = [0.0001] +[2024-06-08 18:16:17,608] - INFO: Epoch 2215/9999, Iter 110700: Loss = 0.012339751236140728, lr = [0.0001] +[2024-06-08 18:16:57,954] - INFO: Epoch 2215/9999, Iter 110720: Loss = 0.014071539975702763, lr = [0.0001] +[2024-06-08 18:17:38,512] - INFO: Epoch 2215/9999, Iter 110740: Loss = 0.011464869603514671, lr = [0.0001] +[2024-06-08 18:17:54,589] - INFO: Evaluate at epoch 2215! +[2024-06-08 18:17:58,876] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 18:17:58,877] - INFO: Eval (with pad) PSNR (current): 38.117 (2215) SSIM (current): 0.9613 (2215) +[2024-06-08 18:17:58,877] - INFO: Evaluation over. +[2024-06-08 18:18:25,393] - INFO: Epoch 2216/9999, Iter 110760: Loss = 0.012835013680160046, lr = [0.0001] +[2024-06-08 18:19:06,651] - INFO: Epoch 2216/9999, Iter 110780: Loss = 0.013946251943707466, lr = [0.0001] +[2024-06-08 18:19:46,187] - INFO: Epoch 2217/9999, Iter 110800: Loss = 0.007646775338798761, lr = [0.0001] +[2024-06-08 18:20:27,827] - INFO: Epoch 2217/9999, Iter 110820: Loss = 0.016961703076958656, lr = [0.0001] +[2024-06-08 18:21:07,935] - INFO: Epoch 2217/9999, Iter 110840: Loss = 0.014171144925057888, lr = [0.0001] +[2024-06-08 18:21:48,681] - INFO: Epoch 2218/9999, Iter 110860: Loss = 0.01320040225982666, lr = [0.0001] +[2024-06-08 18:22:28,204] - INFO: Epoch 2218/9999, Iter 110880: Loss = 0.011135054752230644, lr = [0.0001] +[2024-06-08 18:23:07,723] - INFO: Epoch 2219/9999, Iter 110900: Loss = 0.00790543481707573, lr = [0.0001] +[2024-06-08 18:23:48,951] - INFO: Epoch 2219/9999, Iter 110920: Loss = 0.019671255722641945, lr = [0.0001] +[2024-06-08 18:24:29,509] - INFO: Epoch 2219/9999, Iter 110940: Loss = 0.013263213448226452, lr = [0.0001] +[2024-06-08 18:25:09,653] - INFO: Epoch 2220/9999, Iter 110960: Loss = 0.01691979356110096, lr = [0.0001] +[2024-06-08 18:25:50,763] - INFO: Epoch 2220/9999, Iter 110980: Loss = 0.011146998032927513, lr = [0.0001] +[2024-06-08 18:26:26,896] - INFO: Evaluate at epoch 2220! +[2024-06-08 18:26:31,351] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 18:26:31,352] - INFO: Eval (with pad) PSNR (current): 38.096 (2220) SSIM (current): 0.9613 (2220) +[2024-06-08 18:26:31,352] - INFO: Evaluation over. +[2024-06-08 18:26:37,522] - INFO: Epoch 2221/9999, Iter 111000: Loss = 0.01156470738351345, lr = [0.0001] +[2024-06-08 18:27:19,674] - INFO: Epoch 2221/9999, Iter 111020: Loss = 0.00792564544826746, lr = [0.0001] +[2024-06-08 18:27:59,960] - INFO: Epoch 2221/9999, Iter 111040: Loss = 0.01295029278844595, lr = [0.0001] +[2024-06-08 18:28:40,346] - INFO: Epoch 2222/9999, Iter 111060: Loss = 0.01601175218820572, lr = [0.0001] +[2024-06-08 18:29:21,123] - INFO: Epoch 2222/9999, Iter 111080: Loss = 0.014168331399559975, lr = [0.0001] +[2024-06-08 18:30:00,051] - INFO: Epoch 2223/9999, Iter 111100: Loss = 0.010296999476850033, lr = [0.0001] +[2024-06-08 18:30:40,137] - INFO: Epoch 2223/9999, Iter 111120: Loss = 0.010907494463026524, lr = [0.0001] +[2024-06-08 18:31:21,397] - INFO: Epoch 2223/9999, Iter 111140: Loss = 0.013587512075901031, lr = [0.0001] +[2024-06-08 18:32:01,291] - INFO: Epoch 2224/9999, Iter 111160: Loss = 0.010987904854118824, lr = [0.0001] +[2024-06-08 18:32:42,895] - INFO: Epoch 2224/9999, Iter 111180: Loss = 0.00941644236445427, lr = [0.0001] +[2024-06-08 18:33:23,211] - INFO: Epoch 2225/9999, Iter 111200: Loss = 0.015125302597880363, lr = [0.0001] +[2024-06-08 18:34:04,224] - INFO: Epoch 2225/9999, Iter 111220: Loss = 0.01144004799425602, lr = [0.0001] +[2024-06-08 18:34:45,642] - INFO: Epoch 2225/9999, Iter 111240: Loss = 0.013740028254687786, lr = [0.0001] +[2024-06-08 18:35:00,823] - INFO: Evaluate at epoch 2225! +[2024-06-08 18:35:05,188] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 18:35:05,189] - INFO: Eval (with pad) PSNR (current): 38.102 (2225) SSIM (current): 0.9613 (2225) +[2024-06-08 18:35:05,189] - INFO: Evaluation over. +[2024-06-08 18:35:31,712] - INFO: Epoch 2226/9999, Iter 111260: Loss = 0.012034192681312561, lr = [0.0001] +[2024-06-08 18:36:11,573] - INFO: Epoch 2226/9999, Iter 111280: Loss = 0.008006750606000423, lr = [0.0001] +[2024-06-08 18:36:52,780] - INFO: Epoch 2227/9999, Iter 111300: Loss = 0.012917296029627323, lr = [0.0001] +[2024-06-08 18:37:31,851] - INFO: Epoch 2227/9999, Iter 111320: Loss = 0.01310754008591175, lr = [0.0001] +[2024-06-08 18:38:11,490] - INFO: Epoch 2227/9999, Iter 111340: Loss = 0.014823061414062977, lr = [0.0001] +[2024-06-08 18:38:52,164] - INFO: Epoch 2228/9999, Iter 111360: Loss = 0.006401851773262024, lr = [0.0001] +[2024-06-08 18:39:32,402] - INFO: Epoch 2228/9999, Iter 111380: Loss = 0.015339103527367115, lr = [0.0001] +[2024-06-08 18:40:12,242] - INFO: Epoch 2229/9999, Iter 111400: Loss = 0.016259755939245224, lr = [0.0001] +[2024-06-08 18:40:53,823] - INFO: Epoch 2229/9999, Iter 111420: Loss = 0.00933067686855793, lr = [0.0001] +[2024-06-08 18:41:33,647] - INFO: Epoch 2229/9999, Iter 111440: Loss = 0.01286956388503313, lr = [0.0001] +[2024-06-08 18:42:14,065] - INFO: Epoch 2230/9999, Iter 111460: Loss = 0.017214620485901833, lr = [0.0001] +[2024-06-08 18:42:54,292] - INFO: Epoch 2230/9999, Iter 111480: Loss = 0.007673252373933792, lr = [0.0001] +[2024-06-08 18:43:30,622] - INFO: Evaluate at epoch 2230! +[2024-06-08 18:43:34,924] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 18:43:34,924] - INFO: Eval (with pad) PSNR (current): 38.144 (2230) SSIM (current): 0.9614 (2230) +[2024-06-08 18:43:34,924] - INFO: Evaluation over. +[2024-06-08 18:43:40,427] - INFO: Epoch 2231/9999, Iter 111500: Loss = 0.012068243697285652, lr = [0.0001] +[2024-06-08 18:44:20,454] - INFO: Epoch 2231/9999, Iter 111520: Loss = 0.009945755824446678, lr = [0.0001] +[2024-06-08 18:45:01,500] - INFO: Epoch 2231/9999, Iter 111540: Loss = 0.014306283555924892, lr = [0.0001] +[2024-06-08 18:45:42,000] - INFO: Epoch 2232/9999, Iter 111560: Loss = 0.016086962074041367, lr = [0.0001] +[2024-06-08 18:46:22,659] - INFO: Epoch 2232/9999, Iter 111580: Loss = 0.011615472845733166, lr = [0.0001] +[2024-06-08 18:47:02,830] - INFO: Epoch 2233/9999, Iter 111600: Loss = 0.008102383464574814, lr = [0.0001] +[2024-06-08 18:47:43,626] - INFO: Epoch 2233/9999, Iter 111620: Loss = 0.01037103682756424, lr = [0.0001] +[2024-06-08 18:48:23,703] - INFO: Epoch 2233/9999, Iter 111640: Loss = 0.011326156556606293, lr = [0.0001] +[2024-06-08 18:49:04,354] - INFO: Epoch 2234/9999, Iter 111660: Loss = 0.011128020472824574, lr = [0.0001] +[2024-06-08 18:49:45,528] - INFO: Epoch 2234/9999, Iter 111680: Loss = 0.012199465185403824, lr = [0.0001] +[2024-06-08 18:50:25,285] - INFO: Epoch 2235/9999, Iter 111700: Loss = 0.010931725613772869, lr = [0.0001] +[2024-06-08 18:51:07,568] - INFO: Epoch 2235/9999, Iter 111720: Loss = 0.01685473695397377, lr = [0.0001] +[2024-06-08 18:51:47,263] - INFO: Epoch 2235/9999, Iter 111740: Loss = 0.018357306718826294, lr = [0.0001] +[2024-06-08 18:52:03,164] - INFO: Evaluate at epoch 2235! +[2024-06-08 18:52:07,410] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 18:52:07,411] - INFO: Eval (with pad) PSNR (current): 38.092 (2235) SSIM (current): 0.9612 (2235) +[2024-06-08 18:52:07,411] - INFO: Evaluation over. +[2024-06-08 18:52:33,415] - INFO: Epoch 2236/9999, Iter 111760: Loss = 0.013612748123705387, lr = [0.0001] +[2024-06-08 18:53:13,132] - INFO: Epoch 2236/9999, Iter 111780: Loss = 0.012602908536791801, lr = [0.0001] +[2024-06-08 18:53:51,126] - INFO: Epoch 2237/9999, Iter 111800: Loss = 0.011869567446410656, lr = [0.0001] +[2024-06-08 18:54:31,244] - INFO: Epoch 2237/9999, Iter 111820: Loss = 0.008414389565587044, lr = [0.0001] +[2024-06-08 18:55:10,993] - INFO: Epoch 2237/9999, Iter 111840: Loss = 0.010562391951680183, lr = [0.0001] +[2024-06-08 18:55:51,726] - INFO: Epoch 2238/9999, Iter 111860: Loss = 0.016045592725276947, lr = [0.0001] +[2024-06-08 18:56:33,340] - INFO: Epoch 2238/9999, Iter 111880: Loss = 0.009595361538231373, lr = [0.0001] +[2024-06-08 18:57:13,002] - INFO: Epoch 2239/9999, Iter 111900: Loss = 0.010918674990534782, lr = [0.0001] +[2024-06-08 18:57:53,605] - INFO: Epoch 2239/9999, Iter 111920: Loss = 0.011758970096707344, lr = [0.0001] +[2024-06-08 18:58:34,211] - INFO: Epoch 2239/9999, Iter 111940: Loss = 0.01929008588194847, lr = [0.0001] +[2024-06-08 18:59:15,742] - INFO: Epoch 2240/9999, Iter 111960: Loss = 0.011718879453837872, lr = [0.0001] +[2024-06-08 18:59:55,762] - INFO: Epoch 2240/9999, Iter 111980: Loss = 0.008302575908601284, lr = [0.0001] +[2024-06-08 19:00:31,856] - INFO: Evaluate at epoch 2240! +[2024-06-08 19:00:36,276] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 19:00:36,276] - INFO: Eval (with pad) PSNR (current): 38.152 (2240) SSIM (current): 0.9613 (2240) +[2024-06-08 19:00:36,276] - INFO: Evaluation over. +[2024-06-08 19:00:41,358] - INFO: Epoch 2241/9999, Iter 112000: Loss = 0.008822240866720676, lr = [0.0001] +[2024-06-08 19:01:21,595] - INFO: Epoch 2241/9999, Iter 112020: Loss = 0.008237998001277447, lr = [0.0001] +[2024-06-08 19:02:00,813] - INFO: Epoch 2241/9999, Iter 112040: Loss = 0.015452932566404343, lr = [0.0001] +[2024-06-08 19:02:40,769] - INFO: Epoch 2242/9999, Iter 112060: Loss = 0.012910472229123116, lr = [0.0001] +[2024-06-08 19:03:21,614] - INFO: Epoch 2242/9999, Iter 112080: Loss = 0.011975394561886787, lr = [0.0001] +[2024-06-08 19:04:01,367] - INFO: Epoch 2243/9999, Iter 112100: Loss = 0.01114629115909338, lr = [0.0001] +[2024-06-08 19:04:42,438] - INFO: Epoch 2243/9999, Iter 112120: Loss = 0.013320530764758587, lr = [0.0001] +[2024-06-08 19:05:22,545] - INFO: Epoch 2243/9999, Iter 112140: Loss = 0.014003312215209007, lr = [0.0001] +[2024-06-08 19:06:01,550] - INFO: Epoch 2244/9999, Iter 112160: Loss = 0.006317798979580402, lr = [0.0001] +[2024-06-08 19:06:41,952] - INFO: Epoch 2244/9999, Iter 112180: Loss = 0.011617302894592285, lr = [0.0001] +[2024-06-08 19:07:23,029] - INFO: Epoch 2245/9999, Iter 112200: Loss = 0.011744631454348564, lr = [0.0001] +[2024-06-08 19:08:03,213] - INFO: Epoch 2245/9999, Iter 112220: Loss = 0.00984567403793335, lr = [0.0001] +[2024-06-08 19:08:43,692] - INFO: Epoch 2245/9999, Iter 112240: Loss = 0.01769501529633999, lr = [0.0001] +[2024-06-08 19:08:59,118] - INFO: Evaluate at epoch 2245! +[2024-06-08 19:09:03,447] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 19:09:03,448] - INFO: Eval (with pad) PSNR (current): 38.128 (2245) SSIM (current): 0.9612 (2245) +[2024-06-08 19:09:03,448] - INFO: Evaluation over. +[2024-06-08 19:09:28,873] - INFO: Epoch 2246/9999, Iter 112260: Loss = 0.01243642345070839, lr = [0.0001] +[2024-06-08 19:10:07,835] - INFO: Epoch 2246/9999, Iter 112280: Loss = 0.01526179164648056, lr = [0.0001] +[2024-06-08 19:10:47,573] - INFO: Epoch 2247/9999, Iter 112300: Loss = 0.013365291059017181, lr = [0.0001] +[2024-06-08 19:11:29,044] - INFO: Epoch 2247/9999, Iter 112320: Loss = 0.012738669291138649, lr = [0.0001] +[2024-06-08 19:12:07,953] - INFO: Epoch 2247/9999, Iter 112340: Loss = 0.012663633562624454, lr = [0.0001] +[2024-06-08 19:12:49,106] - INFO: Epoch 2248/9999, Iter 112360: Loss = 0.012015185318887234, lr = [0.0001] +[2024-06-08 19:13:28,661] - INFO: Epoch 2248/9999, Iter 112380: Loss = 0.009554878808557987, lr = [0.0001] +[2024-06-08 19:14:07,379] - INFO: Epoch 2249/9999, Iter 112400: Loss = 0.013706900179386139, lr = [0.0001] +[2024-06-08 19:14:47,746] - INFO: Epoch 2249/9999, Iter 112420: Loss = 0.01670190319418907, lr = [0.0001] +[2024-06-08 19:15:27,739] - INFO: Epoch 2249/9999, Iter 112440: Loss = 0.014941012486815453, lr = [0.0001] +[2024-06-08 19:16:06,557] - INFO: Epoch 2250/9999, Iter 112460: Loss = 0.009455700404942036, lr = [0.0001] +[2024-06-08 19:16:48,383] - INFO: Epoch 2250/9999, Iter 112480: Loss = 0.015784135088324547, lr = [0.0001] +[2024-06-08 19:17:23,371] - INFO: Evaluate at epoch 2250! +[2024-06-08 19:17:27,758] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 19:17:27,758] - INFO: Eval (with pad) PSNR (current): 38.154 (2250) SSIM (current): 0.9613 (2250) +[2024-06-08 19:17:27,759] - INFO: Evaluation over. +[2024-06-08 19:17:33,274] - INFO: Epoch 2251/9999, Iter 112500: Loss = 0.013412008062005043, lr = [0.0001] +[2024-06-08 19:18:14,429] - INFO: Epoch 2251/9999, Iter 112520: Loss = 0.00874184351414442, lr = [0.0001] +[2024-06-08 19:18:54,456] - INFO: Epoch 2251/9999, Iter 112540: Loss = 0.012489157728850842, lr = [0.0001] +[2024-06-08 19:19:33,948] - INFO: Epoch 2252/9999, Iter 112560: Loss = 0.015361876226961613, lr = [0.0001] +[2024-06-08 19:20:14,005] - INFO: Epoch 2252/9999, Iter 112580: Loss = 0.0071202353574335575, lr = [0.0001] +[2024-06-08 19:20:54,050] - INFO: Epoch 2253/9999, Iter 112600: Loss = 0.012453913688659668, lr = [0.0001] +[2024-06-08 19:21:34,192] - INFO: Epoch 2253/9999, Iter 112620: Loss = 0.01224550697952509, lr = [0.0001] +[2024-06-08 19:22:13,966] - INFO: Epoch 2253/9999, Iter 112640: Loss = 0.013660059310495853, lr = [0.0001] +[2024-06-08 19:22:54,126] - INFO: Epoch 2254/9999, Iter 112660: Loss = 0.007475517690181732, lr = [0.0001] +[2024-06-08 19:23:34,785] - INFO: Epoch 2254/9999, Iter 112680: Loss = 0.016476966440677643, lr = [0.0001] +[2024-06-08 19:24:14,984] - INFO: Epoch 2255/9999, Iter 112700: Loss = 0.012504021637141705, lr = [0.0001] +[2024-06-08 19:24:55,381] - INFO: Epoch 2255/9999, Iter 112720: Loss = 0.00941479206085205, lr = [0.0001] +[2024-06-08 19:25:36,577] - INFO: Epoch 2255/9999, Iter 112740: Loss = 0.00927419401705265, lr = [0.0001] +[2024-06-08 19:25:51,850] - INFO: Evaluate at epoch 2255! +[2024-06-08 19:25:56,263] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 19:25:56,263] - INFO: Eval (with pad) PSNR (current): 38.121 (2255) SSIM (current): 0.9613 (2255) +[2024-06-08 19:25:56,263] - INFO: Evaluation over. +[2024-06-08 19:26:23,683] - INFO: Epoch 2256/9999, Iter 112760: Loss = 0.015150456689298153, lr = [0.0001] +[2024-06-08 19:27:01,788] - INFO: Epoch 2256/9999, Iter 112780: Loss = 0.013712707906961441, lr = [0.0001] +[2024-06-08 19:27:40,288] - INFO: Epoch 2257/9999, Iter 112800: Loss = 0.015007204376161098, lr = [0.0001] +[2024-06-08 19:28:20,553] - INFO: Epoch 2257/9999, Iter 112820: Loss = 0.008660300634801388, lr = [0.0001] +[2024-06-08 19:29:02,381] - INFO: Epoch 2257/9999, Iter 112840: Loss = 0.01468031108379364, lr = [0.0001] +[2024-06-08 19:29:42,087] - INFO: Epoch 2258/9999, Iter 112860: Loss = 0.017456572502851486, lr = [0.0001] +[2024-06-08 19:30:20,926] - INFO: Epoch 2258/9999, Iter 112880: Loss = 0.013218195177614689, lr = [0.0001] +[2024-06-08 19:31:00,254] - INFO: Epoch 2259/9999, Iter 112900: Loss = 0.010784228332340717, lr = [0.0001] +[2024-06-08 19:31:42,225] - INFO: Epoch 2259/9999, Iter 112920: Loss = 0.014082486741244793, lr = [0.0001] +[2024-06-08 19:32:22,573] - INFO: Epoch 2259/9999, Iter 112940: Loss = 0.01629716530442238, lr = [0.0001] +[2024-06-08 19:33:03,254] - INFO: Epoch 2260/9999, Iter 112960: Loss = 0.015911804512143135, lr = [0.0001] +[2024-06-08 19:33:43,927] - INFO: Epoch 2260/9999, Iter 112980: Loss = 0.017023803666234016, lr = [0.0001] +[2024-06-08 19:34:19,490] - INFO: Evaluate at epoch 2260! +[2024-06-08 19:34:23,767] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 19:34:23,768] - INFO: Eval (with pad) PSNR (current): 38.146 (2260) SSIM (current): 0.9612 (2260) +[2024-06-08 19:34:23,768] - INFO: Evaluation over. +[2024-06-08 19:34:29,400] - INFO: Epoch 2261/9999, Iter 113000: Loss = 0.007944324985146523, lr = [0.0001] +[2024-06-08 19:35:09,028] - INFO: Epoch 2261/9999, Iter 113020: Loss = 0.009294291026890278, lr = [0.0001] +[2024-06-08 19:35:48,350] - INFO: Epoch 2261/9999, Iter 113040: Loss = 0.016431646421551704, lr = [0.0001] +[2024-06-08 19:36:29,453] - INFO: Epoch 2262/9999, Iter 113060: Loss = 0.012375200167298317, lr = [0.0001] +[2024-06-08 19:37:08,768] - INFO: Epoch 2262/9999, Iter 113080: Loss = 0.012501935474574566, lr = [0.0001] +[2024-06-08 19:37:49,797] - INFO: Epoch 2263/9999, Iter 113100: Loss = 0.009147952310740948, lr = [0.0001] +[2024-06-08 19:38:31,032] - INFO: Epoch 2263/9999, Iter 113120: Loss = 0.01317076850682497, lr = [0.0001] +[2024-06-08 19:39:11,222] - INFO: Epoch 2263/9999, Iter 113140: Loss = 0.009596290066838264, lr = [0.0001] +[2024-06-08 19:39:51,345] - INFO: Epoch 2264/9999, Iter 113160: Loss = 0.015120466239750385, lr = [0.0001] +[2024-06-08 19:40:31,777] - INFO: Epoch 2264/9999, Iter 113180: Loss = 0.016027983278036118, lr = [0.0001] +[2024-06-08 19:41:12,441] - INFO: Epoch 2265/9999, Iter 113200: Loss = 0.010051128454506397, lr = [0.0001] +[2024-06-08 19:41:53,314] - INFO: Epoch 2265/9999, Iter 113220: Loss = 0.013971869833767414, lr = [0.0001] +[2024-06-08 19:42:34,305] - INFO: Epoch 2265/9999, Iter 113240: Loss = 0.0056566838175058365, lr = [0.0001] +[2024-06-08 19:42:50,061] - INFO: Evaluate at epoch 2265! +[2024-06-08 19:42:54,416] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 19:42:54,417] - INFO: Eval (with pad) PSNR (current): 38.158 (2265) SSIM (current): 0.9613 (2265) +[2024-06-08 19:42:54,417] - INFO: Evaluation over. +[2024-06-08 19:43:20,595] - INFO: Epoch 2266/9999, Iter 113260: Loss = 0.012428084388375282, lr = [0.0001] +[2024-06-08 19:44:00,432] - INFO: Epoch 2266/9999, Iter 113280: Loss = 0.010076474398374557, lr = [0.0001] +[2024-06-08 19:44:39,452] - INFO: Epoch 2267/9999, Iter 113300: Loss = 0.011163534596562386, lr = [0.0001] +[2024-06-08 19:45:19,598] - INFO: Epoch 2267/9999, Iter 113320: Loss = 0.019201425835490227, lr = [0.0001] +[2024-06-08 19:46:00,019] - INFO: Epoch 2267/9999, Iter 113340: Loss = 0.011408264748752117, lr = [0.0001] +[2024-06-08 19:46:41,066] - INFO: Epoch 2268/9999, Iter 113360: Loss = 0.010555839166045189, lr = [0.0001] +[2024-06-08 19:47:21,692] - INFO: Epoch 2268/9999, Iter 113380: Loss = 0.009562494233250618, lr = [0.0001] +[2024-06-08 19:48:01,452] - INFO: Epoch 2269/9999, Iter 113400: Loss = 0.016397837549448013, lr = [0.0001] +[2024-06-08 19:48:41,842] - INFO: Epoch 2269/9999, Iter 113420: Loss = 0.009966549463570118, lr = [0.0001] +[2024-06-08 19:49:22,601] - INFO: Epoch 2269/9999, Iter 113440: Loss = 0.014554101042449474, lr = [0.0001] +[2024-06-08 19:50:02,110] - INFO: Epoch 2270/9999, Iter 113460: Loss = 0.010878348723053932, lr = [0.0001] +[2024-06-08 19:50:41,705] - INFO: Epoch 2270/9999, Iter 113480: Loss = 0.015389413572847843, lr = [0.0001] +[2024-06-08 19:51:18,552] - INFO: Evaluate at epoch 2270! +[2024-06-08 19:51:23,235] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 19:51:23,236] - INFO: Eval (with pad) PSNR (current): 38.136 (2270) SSIM (current): 0.9613 (2270) +[2024-06-08 19:51:23,236] - INFO: Evaluation over. +[2024-06-08 19:51:28,441] - INFO: Epoch 2271/9999, Iter 113500: Loss = 0.017278803512454033, lr = [0.0001] +[2024-06-08 19:52:09,358] - INFO: Epoch 2271/9999, Iter 113520: Loss = 0.017147203907370567, lr = [0.0001] +[2024-06-08 19:52:49,438] - INFO: Epoch 2271/9999, Iter 113540: Loss = 0.014506435953080654, lr = [0.0001] +[2024-06-08 19:53:29,798] - INFO: Epoch 2272/9999, Iter 113560: Loss = 0.011088458821177483, lr = [0.0001] +[2024-06-08 19:54:09,111] - INFO: Epoch 2272/9999, Iter 113580: Loss = 0.01405994314700365, lr = [0.0001] +[2024-06-08 19:54:49,980] - INFO: Epoch 2273/9999, Iter 113600: Loss = 0.013531512580811977, lr = [0.0001] +[2024-06-08 19:55:30,024] - INFO: Epoch 2273/9999, Iter 113620: Loss = 0.011992196552455425, lr = [0.0001] +[2024-06-08 19:56:08,051] - INFO: Epoch 2273/9999, Iter 113640: Loss = 0.010777709074318409, lr = [0.0001] +[2024-06-08 19:56:48,538] - INFO: Epoch 2274/9999, Iter 113660: Loss = 0.014084474183619022, lr = [0.0001] +[2024-06-08 19:57:30,235] - INFO: Epoch 2274/9999, Iter 113680: Loss = 0.012675771489739418, lr = [0.0001] +[2024-06-08 19:58:09,414] - INFO: Epoch 2275/9999, Iter 113700: Loss = 0.012357049621641636, lr = [0.0001] +[2024-06-08 19:58:50,888] - INFO: Epoch 2275/9999, Iter 113720: Loss = 0.013158325105905533, lr = [0.0001] +[2024-06-08 19:59:30,353] - INFO: Epoch 2275/9999, Iter 113740: Loss = 0.012588699348270893, lr = [0.0001] +[2024-06-08 19:59:45,660] - INFO: Evaluate at epoch 2275! +[2024-06-08 19:59:50,344] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 19:59:50,344] - INFO: Eval (with pad) PSNR (current): 38.130 (2275) SSIM (current): 0.9613 (2275) +[2024-06-08 19:59:50,344] - INFO: Evaluation over. +[2024-06-08 20:00:17,301] - INFO: Epoch 2276/9999, Iter 113760: Loss = 0.012985048815608025, lr = [0.0001] +[2024-06-08 20:00:58,124] - INFO: Epoch 2276/9999, Iter 113780: Loss = 0.0171226616948843, lr = [0.0001] +[2024-06-08 20:01:37,486] - INFO: Epoch 2277/9999, Iter 113800: Loss = 0.010906172916293144, lr = [0.0001] +[2024-06-08 20:02:19,574] - INFO: Epoch 2277/9999, Iter 113820: Loss = 0.016848940402269363, lr = [0.0001] +[2024-06-08 20:03:00,667] - INFO: Epoch 2277/9999, Iter 113840: Loss = 0.015715301036834717, lr = [0.0001] +[2024-06-08 20:03:41,010] - INFO: Epoch 2278/9999, Iter 113860: Loss = 0.012371093966066837, lr = [0.0001] +[2024-06-08 20:04:19,640] - INFO: Epoch 2278/9999, Iter 113880: Loss = 0.013251397758722305, lr = [0.0001] +[2024-06-08 20:05:00,127] - INFO: Epoch 2279/9999, Iter 113900: Loss = 0.013091068714857101, lr = [0.0001] +[2024-06-08 20:05:38,999] - INFO: Epoch 2279/9999, Iter 113920: Loss = 0.015202629379928112, lr = [0.0001] +[2024-06-08 20:06:19,753] - INFO: Epoch 2279/9999, Iter 113940: Loss = 0.011587463319301605, lr = [0.0001] +[2024-06-08 20:07:01,519] - INFO: Epoch 2280/9999, Iter 113960: Loss = 0.015241233631968498, lr = [0.0001] +[2024-06-08 20:07:40,360] - INFO: Epoch 2280/9999, Iter 113980: Loss = 0.013420961797237396, lr = [0.0001] +[2024-06-08 20:08:15,625] - INFO: Evaluate at epoch 2280! +[2024-06-08 20:08:20,335] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 20:08:20,335] - INFO: Eval (with pad) PSNR (current): 38.130 (2280) SSIM (current): 0.9612 (2280) +[2024-06-08 20:08:20,335] - INFO: Evaluation over. +[2024-06-08 20:08:25,220] - INFO: Epoch 2281/9999, Iter 114000: Loss = 0.011173354461789131, lr = [0.0001] +[2024-06-08 20:09:05,685] - INFO: Epoch 2281/9999, Iter 114020: Loss = 0.007989887148141861, lr = [0.0001] +[2024-06-08 20:09:44,580] - INFO: Epoch 2281/9999, Iter 114040: Loss = 0.01628323458135128, lr = [0.0001] +[2024-06-08 20:10:25,411] - INFO: Epoch 2282/9999, Iter 114060: Loss = 0.01897570863366127, lr = [0.0001] +[2024-06-08 20:11:04,430] - INFO: Epoch 2282/9999, Iter 114080: Loss = 0.010581256821751595, lr = [0.0001] +[2024-06-08 20:11:43,287] - INFO: Epoch 2283/9999, Iter 114100: Loss = 0.010962249711155891, lr = [0.0001] +[2024-06-08 20:12:24,957] - INFO: Epoch 2283/9999, Iter 114120: Loss = 0.022888051345944405, lr = [0.0001] +[2024-06-08 20:13:06,092] - INFO: Epoch 2283/9999, Iter 114140: Loss = 0.014744005165994167, lr = [0.0001] +[2024-06-08 20:13:45,177] - INFO: Epoch 2284/9999, Iter 114160: Loss = 0.01642582006752491, lr = [0.0001] +[2024-06-08 20:14:23,937] - INFO: Epoch 2284/9999, Iter 114180: Loss = 0.012343556620180607, lr = [0.0001] +[2024-06-08 20:15:02,685] - INFO: Epoch 2285/9999, Iter 114200: Loss = 0.011535449884831905, lr = [0.0001] +[2024-06-08 20:15:43,448] - INFO: Epoch 2285/9999, Iter 114220: Loss = 0.0150877945125103, lr = [0.0001] +[2024-06-08 20:16:23,578] - INFO: Epoch 2285/9999, Iter 114240: Loss = 0.013075696304440498, lr = [0.0001] +[2024-06-08 20:16:38,009] - INFO: Evaluate at epoch 2285! +[2024-06-08 20:16:42,359] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 20:16:42,359] - INFO: Eval (with pad) PSNR (current): 38.134 (2285) SSIM (current): 0.9613 (2285) +[2024-06-08 20:16:42,359] - INFO: Evaluation over. +[2024-06-08 20:17:09,579] - INFO: Epoch 2286/9999, Iter 114260: Loss = 0.012994841672480106, lr = [0.0001] +[2024-06-08 20:17:49,395] - INFO: Epoch 2286/9999, Iter 114280: Loss = 0.01488763652741909, lr = [0.0001] +[2024-06-08 20:18:29,538] - INFO: Epoch 2287/9999, Iter 114300: Loss = 0.010481378994882107, lr = [0.0001] +[2024-06-08 20:19:12,124] - INFO: Epoch 2287/9999, Iter 114320: Loss = 0.009941761381924152, lr = [0.0001] +[2024-06-08 20:19:51,670] - INFO: Epoch 2287/9999, Iter 114340: Loss = 0.008062421344220638, lr = [0.0001] +[2024-06-08 20:20:32,099] - INFO: Epoch 2288/9999, Iter 114360: Loss = 0.010081981308758259, lr = [0.0001] +[2024-06-08 20:21:11,911] - INFO: Epoch 2288/9999, Iter 114380: Loss = 0.018820330500602722, lr = [0.0001] +[2024-06-08 20:21:51,602] - INFO: Epoch 2289/9999, Iter 114400: Loss = 0.01222353707998991, lr = [0.0001] +[2024-06-08 20:22:32,526] - INFO: Epoch 2289/9999, Iter 114420: Loss = 0.006487265694886446, lr = [0.0001] +[2024-06-08 20:23:12,163] - INFO: Epoch 2289/9999, Iter 114440: Loss = 0.010018818080425262, lr = [0.0001] +[2024-06-08 20:23:52,458] - INFO: Epoch 2290/9999, Iter 114460: Loss = 0.011441509239375591, lr = [0.0001] +[2024-06-08 20:24:33,832] - INFO: Epoch 2290/9999, Iter 114480: Loss = 0.016017617657780647, lr = [0.0001] +[2024-06-08 20:25:09,444] - INFO: Evaluate at epoch 2290! +[2024-06-08 20:25:13,965] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 20:25:13,966] - INFO: Eval (with pad) PSNR (current): 38.128 (2290) SSIM (current): 0.9613 (2290) +[2024-06-08 20:25:13,966] - INFO: Evaluation over. +[2024-06-08 20:25:19,337] - INFO: Epoch 2291/9999, Iter 114500: Loss = 0.008113881573081017, lr = [0.0001] +[2024-06-08 20:26:01,874] - INFO: Epoch 2291/9999, Iter 114520: Loss = 0.008701862767338753, lr = [0.0001] +[2024-06-08 20:26:42,344] - INFO: Epoch 2291/9999, Iter 114540: Loss = 0.01375975925475359, lr = [0.0001] +[2024-06-08 20:27:23,072] - INFO: Epoch 2292/9999, Iter 114560: Loss = 0.009022950194776058, lr = [0.0001] +[2024-06-08 20:28:03,688] - INFO: Epoch 2292/9999, Iter 114580: Loss = 0.014126029796898365, lr = [0.0001] +[2024-06-08 20:28:41,691] - INFO: Epoch 2293/9999, Iter 114600: Loss = 0.011446164920926094, lr = [0.0001] +[2024-06-08 20:29:21,998] - INFO: Epoch 2293/9999, Iter 114620: Loss = 0.011468439362943172, lr = [0.0001] +[2024-06-08 20:30:03,167] - INFO: Epoch 2293/9999, Iter 114640: Loss = 0.010489252395927906, lr = [0.0001] +[2024-06-08 20:30:44,838] - INFO: Epoch 2294/9999, Iter 114660: Loss = 0.01425626128911972, lr = [0.0001] +[2024-06-08 20:31:23,950] - INFO: Epoch 2294/9999, Iter 114680: Loss = 0.011608687229454517, lr = [0.0001] +[2024-06-08 20:32:03,738] - INFO: Epoch 2295/9999, Iter 114700: Loss = 0.018638085573911667, lr = [0.0001] +[2024-06-08 20:32:45,041] - INFO: Epoch 2295/9999, Iter 114720: Loss = 0.0073946500197052956, lr = [0.0001] +[2024-06-08 20:33:25,316] - INFO: Epoch 2295/9999, Iter 114740: Loss = 0.014518446289002895, lr = [0.0001] +[2024-06-08 20:33:40,840] - INFO: Evaluate at epoch 2295! +[2024-06-08 20:33:45,105] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 20:33:45,106] - INFO: Eval (with pad) PSNR (current): 38.132 (2295) SSIM (current): 0.9613 (2295) +[2024-06-08 20:33:45,106] - INFO: Evaluation over. +[2024-06-08 20:34:11,247] - INFO: Epoch 2296/9999, Iter 114760: Loss = 0.01232878677546978, lr = [0.0001] +[2024-06-08 20:34:51,584] - INFO: Epoch 2296/9999, Iter 114780: Loss = 0.0135036064311862, lr = [0.0001] +[2024-06-08 20:35:29,801] - INFO: Epoch 2297/9999, Iter 114800: Loss = 0.01161266304552555, lr = [0.0001] +[2024-06-08 20:36:10,786] - INFO: Epoch 2297/9999, Iter 114820: Loss = 0.010985520668327808, lr = [0.0001] +[2024-06-08 20:36:50,245] - INFO: Epoch 2297/9999, Iter 114840: Loss = 0.013697130605578423, lr = [0.0001] +[2024-06-08 20:37:30,226] - INFO: Epoch 2298/9999, Iter 114860: Loss = 0.013399757444858551, lr = [0.0001] +[2024-06-08 20:38:11,385] - INFO: Epoch 2298/9999, Iter 114880: Loss = 0.00985988974571228, lr = [0.0001] +[2024-06-08 20:38:51,630] - INFO: Epoch 2299/9999, Iter 114900: Loss = 0.012793229892849922, lr = [0.0001] +[2024-06-08 20:39:32,645] - INFO: Epoch 2299/9999, Iter 114920: Loss = 0.01224435493350029, lr = [0.0001] +[2024-06-08 20:40:12,755] - INFO: Epoch 2299/9999, Iter 114940: Loss = 0.013440955430269241, lr = [0.0001] +[2024-06-08 20:40:54,254] - INFO: Epoch 2300/9999, Iter 114960: Loss = 0.01554860919713974, lr = [0.0001] +[2024-06-08 20:41:35,175] - INFO: Epoch 2300/9999, Iter 114980: Loss = 0.011465166695415974, lr = [0.0001] +[2024-06-08 20:42:10,794] - INFO: Evaluate at epoch 2300! +[2024-06-08 20:42:15,094] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 20:42:15,094] - INFO: Eval (with pad) PSNR (current): 38.133 (2300) SSIM (current): 0.9614 (2300) +[2024-06-08 20:42:15,094] - INFO: Evaluation over. +[2024-06-08 20:42:19,726] - INFO: Epoch 2301/9999, Iter 115000: Loss = 0.012038198299705982, lr = [0.0001] +[2024-06-08 20:43:00,589] - INFO: Epoch 2301/9999, Iter 115020: Loss = 0.013830875046551228, lr = [0.0001] +[2024-06-08 20:43:39,896] - INFO: Epoch 2301/9999, Iter 115040: Loss = 0.010370932519435883, lr = [0.0001] +[2024-06-08 20:44:19,104] - INFO: Epoch 2302/9999, Iter 115060: Loss = 0.010530161671340466, lr = [0.0001] +[2024-06-08 20:45:00,478] - INFO: Epoch 2302/9999, Iter 115080: Loss = 0.010508576408028603, lr = [0.0001] +[2024-06-08 20:45:40,180] - INFO: Epoch 2303/9999, Iter 115100: Loss = 0.015366788022220135, lr = [0.0001] +[2024-06-08 20:46:21,839] - INFO: Epoch 2303/9999, Iter 115120: Loss = 0.01726144179701805, lr = [0.0001] +[2024-06-08 20:47:02,665] - INFO: Epoch 2303/9999, Iter 115140: Loss = 0.01033382024616003, lr = [0.0001] +[2024-06-08 20:47:42,262] - INFO: Epoch 2304/9999, Iter 115160: Loss = 0.01812693476676941, lr = [0.0001] +[2024-06-08 20:48:22,504] - INFO: Epoch 2304/9999, Iter 115180: Loss = 0.01305424328893423, lr = [0.0001] +[2024-06-08 20:49:02,199] - INFO: Epoch 2305/9999, Iter 115200: Loss = 0.014246905222535133, lr = [0.0001] +[2024-06-08 20:49:43,064] - INFO: Epoch 2305/9999, Iter 115220: Loss = 0.01294409204274416, lr = [0.0001] +[2024-06-08 20:50:23,141] - INFO: Epoch 2305/9999, Iter 115240: Loss = 0.013375282287597656, lr = [0.0001] +[2024-06-08 20:50:38,897] - INFO: Evaluate at epoch 2305! +[2024-06-08 20:50:43,198] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 20:50:43,198] - INFO: Eval (with pad) PSNR (current): 38.134 (2305) SSIM (current): 0.9613 (2305) +[2024-06-08 20:50:43,198] - INFO: Evaluation over. +[2024-06-08 20:51:08,980] - INFO: Epoch 2306/9999, Iter 115260: Loss = 0.016823118552565575, lr = [0.0001] +[2024-06-08 20:51:51,354] - INFO: Epoch 2306/9999, Iter 115280: Loss = 0.01063249260187149, lr = [0.0001] +[2024-06-08 20:52:29,938] - INFO: Epoch 2307/9999, Iter 115300: Loss = 0.014867515303194523, lr = [0.0001] +[2024-06-08 20:53:11,690] - INFO: Epoch 2307/9999, Iter 115320: Loss = 0.013496292755007744, lr = [0.0001] +[2024-06-08 20:53:51,765] - INFO: Epoch 2307/9999, Iter 115340: Loss = 0.022098923102021217, lr = [0.0001] +[2024-06-08 20:54:33,849] - INFO: Epoch 2308/9999, Iter 115360: Loss = 0.008074043318629265, lr = [0.0001] +[2024-06-08 20:55:14,503] - INFO: Epoch 2308/9999, Iter 115380: Loss = 0.01626668870449066, lr = [0.0001] +[2024-06-08 20:55:53,737] - INFO: Epoch 2309/9999, Iter 115400: Loss = 0.015027721412479877, lr = [0.0001] +[2024-06-08 20:56:35,509] - INFO: Epoch 2309/9999, Iter 115420: Loss = 0.01567867025732994, lr = [0.0001] +[2024-06-08 20:57:16,639] - INFO: Epoch 2309/9999, Iter 115440: Loss = 0.009724678471684456, lr = [0.0001] +[2024-06-08 20:57:56,906] - INFO: Epoch 2310/9999, Iter 115460: Loss = 0.015581031329929829, lr = [0.0001] +[2024-06-08 20:58:36,530] - INFO: Epoch 2310/9999, Iter 115480: Loss = 0.012432546354830265, lr = [0.0001] +[2024-06-08 20:59:13,661] - INFO: Evaluate at epoch 2310! +[2024-06-08 20:59:17,985] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 20:59:17,985] - INFO: Eval (with pad) PSNR (current): 38.089 (2310) SSIM (current): 0.9614 (2310) +[2024-06-08 20:59:17,985] - INFO: Evaluation over. +[2024-06-08 20:59:23,926] - INFO: Epoch 2311/9999, Iter 115500: Loss = 0.01481984555721283, lr = [0.0001] +[2024-06-08 21:00:06,699] - INFO: Epoch 2311/9999, Iter 115520: Loss = 0.010049425065517426, lr = [0.0001] +[2024-06-08 21:00:46,317] - INFO: Epoch 2311/9999, Iter 115540: Loss = 0.00985923781991005, lr = [0.0001] +[2024-06-08 21:01:27,625] - INFO: Epoch 2312/9999, Iter 115560: Loss = 0.012807149440050125, lr = [0.0001] +[2024-06-08 21:02:08,482] - INFO: Epoch 2312/9999, Iter 115580: Loss = 0.016457725316286087, lr = [0.0001] +[2024-06-08 21:02:48,413] - INFO: Epoch 2313/9999, Iter 115600: Loss = 0.013788510113954544, lr = [0.0001] +[2024-06-08 21:03:28,954] - INFO: Epoch 2313/9999, Iter 115620: Loss = 0.012537599541246891, lr = [0.0001] +[2024-06-08 21:04:09,054] - INFO: Epoch 2313/9999, Iter 115640: Loss = 0.019335266202688217, lr = [0.0001] +[2024-06-08 21:04:47,411] - INFO: Epoch 2314/9999, Iter 115660: Loss = 0.01110025029629469, lr = [0.0001] +[2024-06-08 21:05:27,268] - INFO: Epoch 2314/9999, Iter 115680: Loss = 0.015584402717649937, lr = [0.0001] +[2024-06-08 21:06:06,615] - INFO: Epoch 2315/9999, Iter 115700: Loss = 0.017356911674141884, lr = [0.0001] +[2024-06-08 21:06:47,271] - INFO: Epoch 2315/9999, Iter 115720: Loss = 0.008831057697534561, lr = [0.0001] +[2024-06-08 21:07:27,844] - INFO: Epoch 2315/9999, Iter 115740: Loss = 0.010811728425323963, lr = [0.0001] +[2024-06-08 21:07:43,735] - INFO: Evaluate at epoch 2315! +[2024-06-08 21:07:48,061] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 21:07:48,061] - INFO: Eval (with pad) PSNR (current): 38.080 (2315) SSIM (current): 0.9613 (2315) +[2024-06-08 21:07:48,061] - INFO: Evaluation over. +[2024-06-08 21:08:15,139] - INFO: Epoch 2316/9999, Iter 115760: Loss = 0.008923708461225033, lr = [0.0001] +[2024-06-08 21:08:54,353] - INFO: Epoch 2316/9999, Iter 115780: Loss = 0.011483845300972462, lr = [0.0001] +[2024-06-08 21:09:35,011] - INFO: Epoch 2317/9999, Iter 115800: Loss = 0.02059490978717804, lr = [0.0001] +[2024-06-08 21:10:17,022] - INFO: Epoch 2317/9999, Iter 115820: Loss = 0.007183640263974667, lr = [0.0001] +[2024-06-08 21:10:56,437] - INFO: Epoch 2317/9999, Iter 115840: Loss = 0.006807058118283749, lr = [0.0001] +[2024-06-08 21:11:36,290] - INFO: Epoch 2318/9999, Iter 115860: Loss = 0.01794879510998726, lr = [0.0001] +[2024-06-08 21:12:17,610] - INFO: Epoch 2318/9999, Iter 115880: Loss = 0.011326220817863941, lr = [0.0001] +[2024-06-08 21:12:57,013] - INFO: Epoch 2319/9999, Iter 115900: Loss = 0.016868606209754944, lr = [0.0001] +[2024-06-08 21:13:37,845] - INFO: Epoch 2319/9999, Iter 115920: Loss = 0.01671231910586357, lr = [0.0001] +[2024-06-08 21:14:19,288] - INFO: Epoch 2319/9999, Iter 115940: Loss = 0.010689251124858856, lr = [0.0001] +[2024-06-08 21:15:00,064] - INFO: Epoch 2320/9999, Iter 115960: Loss = 0.013457304798066616, lr = [0.0001] +[2024-06-08 21:15:41,325] - INFO: Epoch 2320/9999, Iter 115980: Loss = 0.020564837381243706, lr = [0.0001] +[2024-06-08 21:16:18,430] - INFO: Evaluate at epoch 2320! +[2024-06-08 21:16:22,677] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 21:16:22,678] - INFO: Eval (with pad) PSNR (current): 38.157 (2320) SSIM (current): 0.9614 (2320) +[2024-06-08 21:16:22,678] - INFO: Evaluation over. +[2024-06-08 21:16:27,683] - INFO: Epoch 2321/9999, Iter 116000: Loss = 0.014353436417877674, lr = [0.0001] +[2024-06-08 21:17:08,605] - INFO: Epoch 2321/9999, Iter 116020: Loss = 0.012662501074373722, lr = [0.0001] +[2024-06-08 21:17:48,259] - INFO: Epoch 2321/9999, Iter 116040: Loss = 0.013889896683394909, lr = [0.0001] +[2024-06-08 21:18:27,577] - INFO: Epoch 2322/9999, Iter 116060: Loss = 0.015051010996103287, lr = [0.0001] +[2024-06-08 21:19:09,649] - INFO: Epoch 2322/9999, Iter 116080: Loss = 0.011012333445250988, lr = [0.0001] +[2024-06-08 21:19:48,947] - INFO: Epoch 2323/9999, Iter 116100: Loss = 0.013998067006468773, lr = [0.0001] +[2024-06-08 21:20:30,242] - INFO: Epoch 2323/9999, Iter 116120: Loss = 0.01145707257091999, lr = [0.0001] +[2024-06-08 21:21:11,421] - INFO: Epoch 2323/9999, Iter 116140: Loss = 0.014013919979333878, lr = [0.0001] +[2024-06-08 21:21:52,365] - INFO: Epoch 2324/9999, Iter 116160: Loss = 0.006227283738553524, lr = [0.0001] +[2024-06-08 21:22:32,459] - INFO: Epoch 2324/9999, Iter 116180: Loss = 0.015043489634990692, lr = [0.0001] +[2024-06-08 21:23:11,477] - INFO: Epoch 2325/9999, Iter 116200: Loss = 0.01200619712471962, lr = [0.0001] +[2024-06-08 21:23:52,528] - INFO: Epoch 2325/9999, Iter 116220: Loss = 0.016694964841008186, lr = [0.0001] +[2024-06-08 21:24:32,734] - INFO: Epoch 2325/9999, Iter 116240: Loss = 0.012220543809235096, lr = [0.0001] +[2024-06-08 21:24:48,715] - INFO: Evaluate at epoch 2325! +[2024-06-08 21:24:53,037] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 21:24:53,037] - INFO: Eval (with pad) PSNR (current): 38.147 (2325) SSIM (current): 0.9613 (2325) +[2024-06-08 21:24:53,037] - INFO: Evaluation over. +[2024-06-08 21:25:19,560] - INFO: Epoch 2326/9999, Iter 116260: Loss = 0.016350887715816498, lr = [0.0001] +[2024-06-08 21:25:59,490] - INFO: Epoch 2326/9999, Iter 116280: Loss = 0.00958221685141325, lr = [0.0001] +[2024-06-08 21:26:38,325] - INFO: Epoch 2327/9999, Iter 116300: Loss = 0.013478999957442284, lr = [0.0001] +[2024-06-08 21:27:20,785] - INFO: Epoch 2327/9999, Iter 116320: Loss = 0.012947296723723412, lr = [0.0001] +[2024-06-08 21:28:00,128] - INFO: Epoch 2327/9999, Iter 116340: Loss = 0.0133779626339674, lr = [0.0001] +[2024-06-08 21:28:38,677] - INFO: Epoch 2328/9999, Iter 116360: Loss = 0.012029170989990234, lr = [0.0001] +[2024-06-08 21:29:18,989] - INFO: Epoch 2328/9999, Iter 116380: Loss = 0.012657261453568935, lr = [0.0001] +[2024-06-08 21:29:59,004] - INFO: Epoch 2329/9999, Iter 116400: Loss = 0.010822651907801628, lr = [0.0001] +[2024-06-08 21:30:39,351] - INFO: Epoch 2329/9999, Iter 116420: Loss = 0.012177465483546257, lr = [0.0001] +[2024-06-08 21:31:20,748] - INFO: Epoch 2329/9999, Iter 116440: Loss = 0.018552545458078384, lr = [0.0001] +[2024-06-08 21:32:01,650] - INFO: Epoch 2330/9999, Iter 116460: Loss = 0.012531991116702557, lr = [0.0001] +[2024-06-08 21:32:43,179] - INFO: Epoch 2330/9999, Iter 116480: Loss = 0.010907976888120174, lr = [0.0001] +[2024-06-08 21:33:18,598] - INFO: Evaluate at epoch 2330! +[2024-06-08 21:33:22,929] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 21:33:22,929] - INFO: Eval (with pad) PSNR (current): 38.130 (2330) SSIM (current): 0.9613 (2330) +[2024-06-08 21:33:22,929] - INFO: Evaluation over. +[2024-06-08 21:33:28,415] - INFO: Epoch 2331/9999, Iter 116500: Loss = 0.017843428999185562, lr = [0.0001] +[2024-06-08 21:34:09,892] - INFO: Epoch 2331/9999, Iter 116520: Loss = 0.009938319213688374, lr = [0.0001] +[2024-06-08 21:34:50,155] - INFO: Epoch 2331/9999, Iter 116540: Loss = 0.013563274405896664, lr = [0.0001] +[2024-06-08 21:35:31,776] - INFO: Epoch 2332/9999, Iter 116560: Loss = 0.017535850405693054, lr = [0.0001] +[2024-06-08 21:36:10,979] - INFO: Epoch 2332/9999, Iter 116580: Loss = 0.012066704221069813, lr = [0.0001] +[2024-06-08 21:36:51,676] - INFO: Epoch 2333/9999, Iter 116600: Loss = 0.01758553832769394, lr = [0.0001] +[2024-06-08 21:37:32,723] - INFO: Epoch 2333/9999, Iter 116620: Loss = 0.008406339213252068, lr = [0.0001] +[2024-06-08 21:38:11,589] - INFO: Epoch 2333/9999, Iter 116640: Loss = 0.011985392309725285, lr = [0.0001] +[2024-06-08 21:38:52,031] - INFO: Epoch 2334/9999, Iter 116660: Loss = 0.008793225511908531, lr = [0.0001] +[2024-06-08 21:39:32,218] - INFO: Epoch 2334/9999, Iter 116680: Loss = 0.009217120707035065, lr = [0.0001] +[2024-06-08 21:40:13,107] - INFO: Epoch 2335/9999, Iter 116700: Loss = 0.011223826557397842, lr = [0.0001] +[2024-06-08 21:40:54,250] - INFO: Epoch 2335/9999, Iter 116720: Loss = 0.010571173392236233, lr = [0.0001] +[2024-06-08 21:41:31,400] - INFO: Epoch 2335/9999, Iter 116740: Loss = 0.008590121753513813, lr = [0.0001] +[2024-06-08 21:41:46,580] - INFO: Evaluate at epoch 2335! +[2024-06-08 21:41:50,963] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 21:41:50,963] - INFO: Eval (with pad) PSNR (current): 38.149 (2335) SSIM (current): 0.9614 (2335) +[2024-06-08 21:41:50,963] - INFO: Evaluation over. +[2024-06-08 21:42:17,115] - INFO: Epoch 2336/9999, Iter 116760: Loss = 0.010135776363313198, lr = [0.0001] +[2024-06-08 21:42:57,809] - INFO: Epoch 2336/9999, Iter 116780: Loss = 0.01354367844760418, lr = [0.0001] +[2024-06-08 21:43:37,314] - INFO: Epoch 2337/9999, Iter 116800: Loss = 0.016986403614282608, lr = [0.0001] +[2024-06-08 21:44:16,696] - INFO: Epoch 2337/9999, Iter 116820: Loss = 0.012593052349984646, lr = [0.0001] +[2024-06-08 21:44:56,278] - INFO: Epoch 2337/9999, Iter 116840: Loss = 0.009265144355595112, lr = [0.0001] +[2024-06-08 21:45:37,156] - INFO: Epoch 2338/9999, Iter 116860: Loss = 0.013036610558629036, lr = [0.0001] +[2024-06-08 21:46:16,872] - INFO: Epoch 2338/9999, Iter 116880: Loss = 0.011569958180189133, lr = [0.0001] +[2024-06-08 21:46:56,283] - INFO: Epoch 2339/9999, Iter 116900: Loss = 0.00879408698529005, lr = [0.0001] +[2024-06-08 21:47:35,606] - INFO: Epoch 2339/9999, Iter 116920: Loss = 0.009845459833741188, lr = [0.0001] +[2024-06-08 21:48:14,643] - INFO: Epoch 2339/9999, Iter 116940: Loss = 0.01261305995285511, lr = [0.0001] +[2024-06-08 21:48:55,945] - INFO: Epoch 2340/9999, Iter 116960: Loss = 0.014904391020536423, lr = [0.0001] +[2024-06-08 21:49:35,549] - INFO: Epoch 2340/9999, Iter 116980: Loss = 0.010403471998870373, lr = [0.0001] +[2024-06-08 21:50:10,875] - INFO: Evaluate at epoch 2340! +[2024-06-08 21:50:15,412] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 21:50:15,412] - INFO: Eval (with pad) PSNR (current): 38.093 (2340) SSIM (current): 0.9613 (2340) +[2024-06-08 21:50:15,412] - INFO: Evaluation over. +[2024-06-08 21:50:20,970] - INFO: Epoch 2341/9999, Iter 117000: Loss = 0.011097270995378494, lr = [0.0001] +[2024-06-08 21:51:02,645] - INFO: Epoch 2341/9999, Iter 117020: Loss = 0.014016125351190567, lr = [0.0001] +[2024-06-08 21:51:43,223] - INFO: Epoch 2341/9999, Iter 117040: Loss = 0.014680864289402962, lr = [0.0001] +[2024-06-08 21:52:23,062] - INFO: Epoch 2342/9999, Iter 117060: Loss = 0.010226298123598099, lr = [0.0001] +[2024-06-08 21:53:03,875] - INFO: Epoch 2342/9999, Iter 117080: Loss = 0.009302783757448196, lr = [0.0001] +[2024-06-08 21:53:44,387] - INFO: Epoch 2343/9999, Iter 117100: Loss = 0.010471981950104237, lr = [0.0001] +[2024-06-08 21:54:25,152] - INFO: Epoch 2343/9999, Iter 117120: Loss = 0.009425772354006767, lr = [0.0001] +[2024-06-08 21:55:04,343] - INFO: Epoch 2343/9999, Iter 117140: Loss = 0.01096592377871275, lr = [0.0001] +[2024-06-08 21:55:45,548] - INFO: Epoch 2344/9999, Iter 117160: Loss = 0.012119178660213947, lr = [0.0001] +[2024-06-08 21:56:24,607] - INFO: Epoch 2344/9999, Iter 117180: Loss = 0.013376567512750626, lr = [0.0001] +[2024-06-08 21:57:04,294] - INFO: Epoch 2345/9999, Iter 117200: Loss = 0.009675364010035992, lr = [0.0001] +[2024-06-08 21:57:45,475] - INFO: Epoch 2345/9999, Iter 117220: Loss = 0.013118174858391285, lr = [0.0001] +[2024-06-08 21:58:24,673] - INFO: Epoch 2345/9999, Iter 117240: Loss = 0.009695666842162609, lr = [0.0001] +[2024-06-08 21:58:40,476] - INFO: Evaluate at epoch 2345! +[2024-06-08 21:58:44,803] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 21:58:44,803] - INFO: Eval (with pad) PSNR (current): 38.059 (2345) SSIM (current): 0.9613 (2345) +[2024-06-08 21:58:44,803] - INFO: Evaluation over. +[2024-06-08 21:59:10,560] - INFO: Epoch 2346/9999, Iter 117260: Loss = 0.012970909476280212, lr = [0.0001] +[2024-06-08 21:59:51,042] - INFO: Epoch 2346/9999, Iter 117280: Loss = 0.00787350907921791, lr = [0.0001] +[2024-06-08 22:00:28,610] - INFO: Epoch 2347/9999, Iter 117300: Loss = 0.008237984031438828, lr = [0.0001] +[2024-06-08 22:01:10,594] - INFO: Epoch 2347/9999, Iter 117320: Loss = 0.009675429202616215, lr = [0.0001] +[2024-06-08 22:01:50,854] - INFO: Epoch 2347/9999, Iter 117340: Loss = 0.013575652614235878, lr = [0.0001] +[2024-06-08 22:02:30,905] - INFO: Epoch 2348/9999, Iter 117360: Loss = 0.0117185702547431, lr = [0.0001] +[2024-06-08 22:03:11,366] - INFO: Epoch 2348/9999, Iter 117380: Loss = 0.009671724401414394, lr = [0.0001] +[2024-06-08 22:03:51,908] - INFO: Epoch 2349/9999, Iter 117400: Loss = 0.010879150591790676, lr = [0.0001] +[2024-06-08 22:04:33,905] - INFO: Epoch 2349/9999, Iter 117420: Loss = 0.0124903479591012, lr = [0.0001] +[2024-06-08 22:05:13,881] - INFO: Epoch 2349/9999, Iter 117440: Loss = 0.015370638109743595, lr = [0.0001] +[2024-06-08 22:05:53,844] - INFO: Epoch 2350/9999, Iter 117460: Loss = 0.006866338197141886, lr = [0.0001] +[2024-06-08 22:06:34,621] - INFO: Epoch 2350/9999, Iter 117480: Loss = 0.014065342023968697, lr = [0.0001] +[2024-06-08 22:07:11,355] - INFO: Evaluate at epoch 2350! +[2024-06-08 22:07:15,651] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 22:07:15,651] - INFO: Eval (with pad) PSNR (current): 38.072 (2350) SSIM (current): 0.9612 (2350) +[2024-06-08 22:07:15,651] - INFO: Evaluation over. +[2024-06-08 22:07:21,168] - INFO: Epoch 2351/9999, Iter 117500: Loss = 0.013496948406100273, lr = [0.0001] +[2024-06-08 22:08:02,635] - INFO: Epoch 2351/9999, Iter 117520: Loss = 0.01711561344563961, lr = [0.0001] +[2024-06-08 22:08:43,333] - INFO: Epoch 2351/9999, Iter 117540: Loss = 0.015581239014863968, lr = [0.0001] +[2024-06-08 22:09:22,521] - INFO: Epoch 2352/9999, Iter 117560: Loss = 0.011892570182681084, lr = [0.0001] +[2024-06-08 22:10:03,870] - INFO: Epoch 2352/9999, Iter 117580: Loss = 0.007814625278115273, lr = [0.0001] +[2024-06-08 22:10:44,729] - INFO: Epoch 2353/9999, Iter 117600: Loss = 0.012070335447788239, lr = [0.0001] +[2024-06-08 22:11:25,720] - INFO: Epoch 2353/9999, Iter 117620: Loss = 0.011777175590395927, lr = [0.0001] +[2024-06-08 22:12:06,995] - INFO: Epoch 2353/9999, Iter 117640: Loss = 0.01163142453879118, lr = [0.0001] +[2024-06-08 22:12:47,671] - INFO: Epoch 2354/9999, Iter 117660: Loss = 0.007523513399064541, lr = [0.0001] +[2024-06-08 22:13:27,719] - INFO: Epoch 2354/9999, Iter 117680: Loss = 0.011054428294301033, lr = [0.0001] +[2024-06-08 22:14:07,747] - INFO: Epoch 2355/9999, Iter 117700: Loss = 0.011130733415484428, lr = [0.0001] +[2024-06-08 22:14:49,287] - INFO: Epoch 2355/9999, Iter 117720: Loss = 0.011708970181643963, lr = [0.0001] +[2024-06-08 22:15:30,163] - INFO: Epoch 2355/9999, Iter 117740: Loss = 0.009169438853859901, lr = [0.0001] +[2024-06-08 22:15:46,526] - INFO: Evaluate at epoch 2355! +[2024-06-08 22:15:51,251] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 22:15:51,252] - INFO: Eval (with pad) PSNR (current): 38.105 (2355) SSIM (current): 0.9612 (2355) +[2024-06-08 22:15:51,252] - INFO: Evaluation over. +[2024-06-08 22:16:18,706] - INFO: Epoch 2356/9999, Iter 117760: Loss = 0.01845661550760269, lr = [0.0001] +[2024-06-08 22:16:59,482] - INFO: Epoch 2356/9999, Iter 117780: Loss = 0.016436725854873657, lr = [0.0001] +[2024-06-08 22:17:40,023] - INFO: Epoch 2357/9999, Iter 117800: Loss = 0.009607885964214802, lr = [0.0001] +[2024-06-08 22:18:21,047] - INFO: Epoch 2357/9999, Iter 117820: Loss = 0.010876969434320927, lr = [0.0001] +[2024-06-08 22:19:00,177] - INFO: Epoch 2357/9999, Iter 117840: Loss = 0.012817536480724812, lr = [0.0001] +[2024-06-08 22:19:41,657] - INFO: Epoch 2358/9999, Iter 117860: Loss = 0.01425925549119711, lr = [0.0001] +[2024-06-08 22:20:21,868] - INFO: Epoch 2358/9999, Iter 117880: Loss = 0.009381977841258049, lr = [0.0001] +[2024-06-08 22:21:01,882] - INFO: Epoch 2359/9999, Iter 117900: Loss = 0.01062104757875204, lr = [0.0001] +[2024-06-08 22:21:43,609] - INFO: Epoch 2359/9999, Iter 117920: Loss = 0.016591031104326248, lr = [0.0001] +[2024-06-08 22:22:22,813] - INFO: Epoch 2359/9999, Iter 117940: Loss = 0.010862489230930805, lr = [0.0001] +[2024-06-08 22:23:03,291] - INFO: Epoch 2360/9999, Iter 117960: Loss = 0.013392552733421326, lr = [0.0001] +[2024-06-08 22:23:44,574] - INFO: Epoch 2360/9999, Iter 117980: Loss = 0.017827553674578667, lr = [0.0001] +[2024-06-08 22:24:20,239] - INFO: Evaluate at epoch 2360! +[2024-06-08 22:24:24,617] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 22:24:24,617] - INFO: Eval (with pad) PSNR (current): 38.122 (2360) SSIM (current): 0.9613 (2360) +[2024-06-08 22:24:24,617] - INFO: Evaluation over. +[2024-06-08 22:24:30,043] - INFO: Epoch 2361/9999, Iter 118000: Loss = 0.013865009881556034, lr = [0.0001] +[2024-06-08 22:25:09,707] - INFO: Epoch 2361/9999, Iter 118020: Loss = 0.010843723081052303, lr = [0.0001] +[2024-06-08 22:25:49,489] - INFO: Epoch 2361/9999, Iter 118040: Loss = 0.012110451236367226, lr = [0.0001] +[2024-06-08 22:26:29,557] - INFO: Epoch 2362/9999, Iter 118060: Loss = 0.013376611284911633, lr = [0.0001] +[2024-06-08 22:27:10,986] - INFO: Epoch 2362/9999, Iter 118080: Loss = 0.0092826122418046, lr = [0.0001] +[2024-06-08 22:27:51,812] - INFO: Epoch 2363/9999, Iter 118100: Loss = 0.016024336218833923, lr = [0.0001] +[2024-06-08 22:28:32,877] - INFO: Epoch 2363/9999, Iter 118120: Loss = 0.015928024426102638, lr = [0.0001] +[2024-06-08 22:29:11,372] - INFO: Epoch 2363/9999, Iter 118140: Loss = 0.009099365212023258, lr = [0.0001] +[2024-06-08 22:29:51,287] - INFO: Epoch 2364/9999, Iter 118160: Loss = 0.012295180931687355, lr = [0.0001] +[2024-06-08 22:30:30,778] - INFO: Epoch 2364/9999, Iter 118180: Loss = 0.009126813150942326, lr = [0.0001] +[2024-06-08 22:31:11,718] - INFO: Epoch 2365/9999, Iter 118200: Loss = 0.009689468890428543, lr = [0.0001] +[2024-06-08 22:31:52,402] - INFO: Epoch 2365/9999, Iter 118220: Loss = 0.019106322899460793, lr = [0.0001] +[2024-06-08 22:32:32,656] - INFO: Epoch 2365/9999, Iter 118240: Loss = 0.016924256458878517, lr = [0.0001] +[2024-06-08 22:32:49,074] - INFO: Evaluate at epoch 2365! +[2024-06-08 22:32:53,325] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 22:32:53,326] - INFO: Eval (with pad) PSNR (current): 38.087 (2365) SSIM (current): 0.9613 (2365) +[2024-06-08 22:32:53,326] - INFO: Evaluation over. +[2024-06-08 22:33:20,754] - INFO: Epoch 2366/9999, Iter 118260: Loss = 0.014139757491648197, lr = [0.0001] +[2024-06-08 22:34:00,727] - INFO: Epoch 2366/9999, Iter 118280: Loss = 0.01049653347581625, lr = [0.0001] +[2024-06-08 22:34:39,888] - INFO: Epoch 2367/9999, Iter 118300: Loss = 0.011458401568233967, lr = [0.0001] +[2024-06-08 22:35:23,126] - INFO: Epoch 2367/9999, Iter 118320: Loss = 0.013299338519573212, lr = [0.0001] +[2024-06-08 22:36:02,007] - INFO: Epoch 2367/9999, Iter 118340: Loss = 0.011698171496391296, lr = [0.0001] +[2024-06-08 22:36:42,524] - INFO: Epoch 2368/9999, Iter 118360: Loss = 0.010235387831926346, lr = [0.0001] +[2024-06-08 22:37:23,916] - INFO: Epoch 2368/9999, Iter 118380: Loss = 0.012343596667051315, lr = [0.0001] +[2024-06-08 22:38:04,241] - INFO: Epoch 2369/9999, Iter 118400: Loss = 0.013737918809056282, lr = [0.0001] +[2024-06-08 22:38:46,348] - INFO: Epoch 2369/9999, Iter 118420: Loss = 0.01126137189567089, lr = [0.0001] +[2024-06-08 22:39:27,095] - INFO: Epoch 2369/9999, Iter 118440: Loss = 0.011720344424247742, lr = [0.0001] +[2024-06-08 22:40:08,289] - INFO: Epoch 2370/9999, Iter 118460: Loss = 0.01690686121582985, lr = [0.0001] +[2024-06-08 22:40:47,784] - INFO: Epoch 2370/9999, Iter 118480: Loss = 0.011073531582951546, lr = [0.0001] +[2024-06-08 22:41:24,487] - INFO: Evaluate at epoch 2370! +[2024-06-08 22:41:28,907] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 22:41:28,907] - INFO: Eval (with pad) PSNR (current): 38.094 (2370) SSIM (current): 0.9612 (2370) +[2024-06-08 22:41:28,908] - INFO: Evaluation over. +[2024-06-08 22:41:34,134] - INFO: Epoch 2371/9999, Iter 118500: Loss = 0.016124963760375977, lr = [0.0001] +[2024-06-08 22:42:13,608] - INFO: Epoch 2371/9999, Iter 118520: Loss = 0.01196560449898243, lr = [0.0001] +[2024-06-08 22:42:53,944] - INFO: Epoch 2371/9999, Iter 118540: Loss = 0.01508405152708292, lr = [0.0001] +[2024-06-08 22:43:32,847] - INFO: Epoch 2372/9999, Iter 118560: Loss = 0.009919963777065277, lr = [0.0001] +[2024-06-08 22:44:13,330] - INFO: Epoch 2372/9999, Iter 118580: Loss = 0.015841258689761162, lr = [0.0001] +[2024-06-08 22:44:52,493] - INFO: Epoch 2373/9999, Iter 118600: Loss = 0.013086963444948196, lr = [0.0001] +[2024-06-08 22:45:33,977] - INFO: Epoch 2373/9999, Iter 118620: Loss = 0.02096586301922798, lr = [0.0001] +[2024-06-08 22:46:14,326] - INFO: Epoch 2373/9999, Iter 118640: Loss = 0.012372755445539951, lr = [0.0001] +[2024-06-08 22:46:54,036] - INFO: Epoch 2374/9999, Iter 118660: Loss = 0.012044046074151993, lr = [0.0001] +[2024-06-08 22:47:34,480] - INFO: Epoch 2374/9999, Iter 118680: Loss = 0.018982741981744766, lr = [0.0001] +[2024-06-08 22:48:14,505] - INFO: Epoch 2375/9999, Iter 118700: Loss = 0.009517709724605083, lr = [0.0001] +[2024-06-08 22:48:53,069] - INFO: Epoch 2375/9999, Iter 118720: Loss = 0.013524797745049, lr = [0.0001] +[2024-06-08 22:49:34,467] - INFO: Epoch 2375/9999, Iter 118740: Loss = 0.014252821914851665, lr = [0.0001] +[2024-06-08 22:49:49,731] - INFO: Evaluate at epoch 2375! +[2024-06-08 22:49:54,143] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 22:49:54,143] - INFO: Eval (with pad) PSNR (current): 38.111 (2375) SSIM (current): 0.9612 (2375) +[2024-06-08 22:49:54,144] - INFO: Evaluation over. +[2024-06-08 22:50:20,815] - INFO: Epoch 2376/9999, Iter 118760: Loss = 0.015368220396339893, lr = [0.0001] +[2024-06-08 22:51:01,382] - INFO: Epoch 2376/9999, Iter 118780: Loss = 0.015693416818976402, lr = [0.0001] +[2024-06-08 22:51:40,738] - INFO: Epoch 2377/9999, Iter 118800: Loss = 0.010889971628785133, lr = [0.0001] +[2024-06-08 22:52:21,655] - INFO: Epoch 2377/9999, Iter 118820: Loss = 0.01348374504595995, lr = [0.0001] +[2024-06-08 22:53:03,246] - INFO: Epoch 2377/9999, Iter 118840: Loss = 0.013272910378873348, lr = [0.0001] +[2024-06-08 22:53:45,064] - INFO: Epoch 2378/9999, Iter 118860: Loss = 0.008722796104848385, lr = [0.0001] +[2024-06-08 22:54:24,664] - INFO: Epoch 2378/9999, Iter 118880: Loss = 0.013510666787624359, lr = [0.0001] +[2024-06-08 22:55:03,582] - INFO: Epoch 2379/9999, Iter 118900: Loss = 0.01255950890481472, lr = [0.0001] +[2024-06-08 22:55:44,521] - INFO: Epoch 2379/9999, Iter 118920: Loss = 0.01673048920929432, lr = [0.0001] +[2024-06-08 22:56:24,083] - INFO: Epoch 2379/9999, Iter 118940: Loss = 0.015742357820272446, lr = [0.0001] +[2024-06-08 22:57:05,669] - INFO: Epoch 2380/9999, Iter 118960: Loss = 0.017558272927999496, lr = [0.0001] +[2024-06-08 22:57:46,250] - INFO: Epoch 2380/9999, Iter 118980: Loss = 0.010678072459995747, lr = [0.0001] +[2024-06-08 22:58:22,020] - INFO: Evaluate at epoch 2380! +[2024-06-08 22:58:26,377] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 22:58:26,377] - INFO: Eval (with pad) PSNR (current): 38.127 (2380) SSIM (current): 0.9612 (2380) +[2024-06-08 22:58:26,377] - INFO: Evaluation over. +[2024-06-08 22:58:31,952] - INFO: Epoch 2381/9999, Iter 119000: Loss = 0.008205598220229149, lr = [0.0001] +[2024-06-08 22:59:13,299] - INFO: Epoch 2381/9999, Iter 119020: Loss = 0.013863945379853249, lr = [0.0001] +[2024-06-08 22:59:52,389] - INFO: Epoch 2381/9999, Iter 119040: Loss = 0.009568976238369942, lr = [0.0001] +[2024-06-08 23:00:33,477] - INFO: Epoch 2382/9999, Iter 119060: Loss = 0.014344354160130024, lr = [0.0001] +[2024-06-08 23:01:12,318] - INFO: Epoch 2382/9999, Iter 119080: Loss = 0.009838860481977463, lr = [0.0001] +[2024-06-08 23:01:51,736] - INFO: Epoch 2383/9999, Iter 119100: Loss = 0.014708315953612328, lr = [0.0001] +[2024-06-08 23:02:34,709] - INFO: Epoch 2383/9999, Iter 119120: Loss = 0.011805730871856213, lr = [0.0001] +[2024-06-08 23:03:14,940] - INFO: Epoch 2383/9999, Iter 119140: Loss = 0.009393698535859585, lr = [0.0001] +[2024-06-08 23:03:55,192] - INFO: Epoch 2384/9999, Iter 119160: Loss = 0.011790834367275238, lr = [0.0001] +[2024-06-08 23:04:35,360] - INFO: Epoch 2384/9999, Iter 119180: Loss = 0.012640749104321003, lr = [0.0001] +[2024-06-08 23:05:15,136] - INFO: Epoch 2385/9999, Iter 119200: Loss = 0.010894747450947762, lr = [0.0001] +[2024-06-08 23:05:57,261] - INFO: Epoch 2385/9999, Iter 119220: Loss = 0.007316923700273037, lr = [0.0001] +[2024-06-08 23:06:37,511] - INFO: Epoch 2385/9999, Iter 119240: Loss = 0.011530177667737007, lr = [0.0001] +[2024-06-08 23:06:54,018] - INFO: Evaluate at epoch 2385! +[2024-06-08 23:06:58,532] - INFO: Eval (with pad) PSNR (max): 38.159 (2200) SSIM (max): 0.9614 (2140) +[2024-06-08 23:06:58,532] - INFO: Eval (with pad) PSNR (current): 38.086 (2385) SSIM (current): 0.9613 (2385) +[2024-06-08 23:06:58,532] - INFO: Evaluation over. +[2024-06-08 23:07:24,981] - INFO: Epoch 2386/9999, Iter 119260: Loss = 0.01059024129062891, lr = [0.0001] +[2024-06-08 23:08:04,676] - INFO: Epoch 2386/9999, Iter 119280: Loss = 0.012081277556717396, lr = [0.0001] +[2024-06-08 23:08:44,042] - INFO: Epoch 2387/9999, Iter 119300: Loss = 0.012058207765221596, lr = [0.0001] +[2024-06-08 23:09:25,300] - INFO: Epoch 2387/9999, Iter 119320: Loss = 0.013391799293458462, lr = [0.0001] +[2024-06-08 23:10:04,970] - INFO: Epoch 2387/9999, Iter 119340: Loss = 0.011928600259125233, lr = [0.0001] +[2024-06-08 23:10:45,281] - INFO: Epoch 2388/9999, Iter 119360: Loss = 0.007796937599778175, lr = [0.0001] +[2024-06-08 23:11:25,854] - INFO: Epoch 2388/9999, Iter 119380: Loss = 0.015427769161760807, lr = [0.0001] +[2024-06-08 23:12:05,441] - INFO: Epoch 2389/9999, Iter 119400: Loss = 0.006026710849255323, lr = [0.0001] +[2024-06-08 23:12:44,426] - INFO: Epoch 2389/9999, Iter 119420: Loss = 0.017268622294068336, lr = [0.0001] +[2024-06-08 23:13:24,464] - INFO: Epoch 2389/9999, Iter 119440: Loss = 0.01453230157494545, lr = [0.0001] +[2024-06-08 23:14:04,154] - INFO: Epoch 2390/9999, Iter 119460: Loss = 0.008111749775707722, lr = [0.0001] +[2024-06-08 23:14:44,305] - INFO: Epoch 2390/9999, Iter 119480: Loss = 0.012876658700406551, lr = [0.0001] +[2024-06-08 23:15:20,448] - INFO: Evaluate at epoch 2390! +[2024-06-08 23:15:27,275] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2140) +[2024-06-08 23:15:27,276] - INFO: Eval (with pad) PSNR (current): 38.171 (2390) SSIM (current): 0.9613 (2390) +[2024-06-08 23:15:27,276] - INFO: Evaluation over. +[2024-06-08 23:15:32,620] - INFO: Epoch 2391/9999, Iter 119500: Loss = 0.008957729674875736, lr = [0.0001] +[2024-06-08 23:16:14,678] - INFO: Epoch 2391/9999, Iter 119520: Loss = 0.009423995390534401, lr = [0.0001] +[2024-06-08 23:16:54,190] - INFO: Epoch 2391/9999, Iter 119540: Loss = 0.01106315292418003, lr = [0.0001] +[2024-06-08 23:17:34,795] - INFO: Epoch 2392/9999, Iter 119560: Loss = 0.014728439971804619, lr = [0.0001] +[2024-06-08 23:18:16,140] - INFO: Epoch 2392/9999, Iter 119580: Loss = 0.01754465326666832, lr = [0.0001] +[2024-06-08 23:18:55,461] - INFO: Epoch 2393/9999, Iter 119600: Loss = 0.013615882955491543, lr = [0.0001] +[2024-06-08 23:19:37,283] - INFO: Epoch 2393/9999, Iter 119620: Loss = 0.012137607671320438, lr = [0.0001] +[2024-06-08 23:20:17,958] - INFO: Epoch 2393/9999, Iter 119640: Loss = 0.01667720638215542, lr = [0.0001] +[2024-06-08 23:20:56,049] - INFO: Epoch 2394/9999, Iter 119660: Loss = 0.016031112521886826, lr = [0.0001] +[2024-06-08 23:21:37,312] - INFO: Epoch 2394/9999, Iter 119680: Loss = 0.010007357224822044, lr = [0.0001] +[2024-06-08 23:22:16,323] - INFO: Epoch 2395/9999, Iter 119700: Loss = 0.010719064623117447, lr = [0.0001] +[2024-06-08 23:22:56,933] - INFO: Epoch 2395/9999, Iter 119720: Loss = 0.014432580210268497, lr = [0.0001] +[2024-06-08 23:23:37,005] - INFO: Epoch 2395/9999, Iter 119740: Loss = 0.008854552172124386, lr = [0.0001] +[2024-06-08 23:23:51,837] - INFO: Evaluate at epoch 2395! +[2024-06-08 23:23:56,220] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2140) +[2024-06-08 23:23:56,220] - INFO: Eval (with pad) PSNR (current): 38.126 (2395) SSIM (current): 0.9613 (2395) +[2024-06-08 23:23:56,221] - INFO: Evaluation over. +[2024-06-08 23:24:22,016] - INFO: Epoch 2396/9999, Iter 119760: Loss = 0.010797272436320782, lr = [0.0001] +[2024-06-08 23:25:02,116] - INFO: Epoch 2396/9999, Iter 119780: Loss = 0.008032795041799545, lr = [0.0001] +[2024-06-08 23:25:41,232] - INFO: Epoch 2397/9999, Iter 119800: Loss = 0.008513975888490677, lr = [0.0001] +[2024-06-08 23:26:22,999] - INFO: Epoch 2397/9999, Iter 119820: Loss = 0.015179748646914959, lr = [0.0001] +[2024-06-08 23:27:03,391] - INFO: Epoch 2397/9999, Iter 119840: Loss = 0.017355456948280334, lr = [0.0001] +[2024-06-08 23:27:44,772] - INFO: Epoch 2398/9999, Iter 119860: Loss = 0.01341280434280634, lr = [0.0001] +[2024-06-08 23:28:26,050] - INFO: Epoch 2398/9999, Iter 119880: Loss = 0.01395946554839611, lr = [0.0001] +[2024-06-08 23:29:04,753] - INFO: Epoch 2399/9999, Iter 119900: Loss = 0.012485460378229618, lr = [0.0001] +[2024-06-08 23:29:45,031] - INFO: Epoch 2399/9999, Iter 119920: Loss = 0.01389242708683014, lr = [0.0001] +[2024-06-08 23:30:24,388] - INFO: Epoch 2399/9999, Iter 119940: Loss = 0.012828689999878407, lr = [0.0001] +[2024-06-08 23:31:05,993] - INFO: Epoch 2400/9999, Iter 119960: Loss = 0.015078606083989143, lr = [0.0001] +[2024-06-08 23:31:45,833] - INFO: Epoch 2400/9999, Iter 119980: Loss = 0.011131280101835728, lr = [0.0001] +[2024-06-08 23:32:21,846] - INFO: Evaluate at epoch 2400! +[2024-06-08 23:32:26,167] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2140) +[2024-06-08 23:32:26,167] - INFO: Eval (with pad) PSNR (current): 38.138 (2400) SSIM (current): 0.9613 (2400) +[2024-06-08 23:32:26,167] - INFO: Evaluation over. +[2024-06-08 23:32:31,366] - INFO: Epoch 2401/9999, Iter 120000: Loss = 0.027078058570623398, lr = [0.0001] +[2024-06-08 23:33:13,668] - INFO: Epoch 2401/9999, Iter 120020: Loss = 0.010676788166165352, lr = [0.0001] +[2024-06-08 23:33:54,372] - INFO: Epoch 2401/9999, Iter 120040: Loss = 0.01374384667724371, lr = [0.0001] +[2024-06-08 23:34:34,520] - INFO: Epoch 2402/9999, Iter 120060: Loss = 0.01288443710654974, lr = [0.0001] +[2024-06-08 23:35:15,230] - INFO: Epoch 2402/9999, Iter 120080: Loss = 0.01291688997298479, lr = [0.0001] +[2024-06-08 23:35:54,536] - INFO: Epoch 2403/9999, Iter 120100: Loss = 0.014289653860032558, lr = [0.0001] +[2024-06-08 23:36:35,402] - INFO: Epoch 2403/9999, Iter 120120: Loss = 0.015837527811527252, lr = [0.0001] +[2024-06-08 23:37:14,888] - INFO: Epoch 2403/9999, Iter 120140: Loss = 0.008800175972282887, lr = [0.0001] +[2024-06-08 23:37:56,497] - INFO: Epoch 2404/9999, Iter 120160: Loss = 0.018522659316658974, lr = [0.0001] +[2024-06-08 23:38:36,381] - INFO: Epoch 2404/9999, Iter 120180: Loss = 0.015580312348902225, lr = [0.0001] +[2024-06-08 23:39:14,984] - INFO: Epoch 2405/9999, Iter 120200: Loss = 0.013515029102563858, lr = [0.0001] +[2024-06-08 23:39:57,561] - INFO: Epoch 2405/9999, Iter 120220: Loss = 0.008414647541940212, lr = [0.0001] +[2024-06-08 23:40:37,653] - INFO: Epoch 2405/9999, Iter 120240: Loss = 0.010382473468780518, lr = [0.0001] +[2024-06-08 23:40:51,975] - INFO: Evaluate at epoch 2405! +[2024-06-08 23:40:56,341] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2140) +[2024-06-08 23:40:56,341] - INFO: Eval (with pad) PSNR (current): 38.146 (2405) SSIM (current): 0.9613 (2405) +[2024-06-08 23:40:56,341] - INFO: Evaluation over. +[2024-06-08 23:41:23,252] - INFO: Epoch 2406/9999, Iter 120260: Loss = 0.013424288481473923, lr = [0.0001] +[2024-06-08 23:42:04,426] - INFO: Epoch 2406/9999, Iter 120280: Loss = 0.011842027306556702, lr = [0.0001] +[2024-06-08 23:42:43,565] - INFO: Epoch 2407/9999, Iter 120300: Loss = 0.01586996577680111, lr = [0.0001] +[2024-06-08 23:43:24,105] - INFO: Epoch 2407/9999, Iter 120320: Loss = 0.018762459978461266, lr = [0.0001] +[2024-06-08 23:44:04,702] - INFO: Epoch 2407/9999, Iter 120340: Loss = 0.008130678907036781, lr = [0.0001] +[2024-06-08 23:44:46,420] - INFO: Epoch 2408/9999, Iter 120360: Loss = 0.01529073528945446, lr = [0.0001] +[2024-06-08 23:45:26,301] - INFO: Epoch 2408/9999, Iter 120380: Loss = 0.009017197415232658, lr = [0.0001] +[2024-06-08 23:46:05,072] - INFO: Epoch 2409/9999, Iter 120400: Loss = 0.010206557810306549, lr = [0.0001] +[2024-06-08 23:46:46,610] - INFO: Epoch 2409/9999, Iter 120420: Loss = 0.010732789523899555, lr = [0.0001] +[2024-06-08 23:47:27,562] - INFO: Epoch 2409/9999, Iter 120440: Loss = 0.012673254124820232, lr = [0.0001] +[2024-06-08 23:48:06,925] - INFO: Epoch 2410/9999, Iter 120460: Loss = 0.014093962498009205, lr = [0.0001] +[2024-06-08 23:48:46,584] - INFO: Epoch 2410/9999, Iter 120480: Loss = 0.015269165858626366, lr = [0.0001] +[2024-06-08 23:49:21,724] - INFO: Evaluate at epoch 2410! +[2024-06-08 23:49:26,208] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2140) +[2024-06-08 23:49:26,208] - INFO: Eval (with pad) PSNR (current): 38.138 (2410) SSIM (current): 0.9613 (2410) +[2024-06-08 23:49:26,208] - INFO: Evaluation over. +[2024-06-08 23:49:31,634] - INFO: Epoch 2411/9999, Iter 120500: Loss = 0.01382428128272295, lr = [0.0001] +[2024-06-08 23:50:14,540] - INFO: Epoch 2411/9999, Iter 120520: Loss = 0.015317696146667004, lr = [0.0001] +[2024-06-08 23:50:53,416] - INFO: Epoch 2411/9999, Iter 120540: Loss = 0.012939078733325005, lr = [0.0001] +[2024-06-08 23:51:35,890] - INFO: Epoch 2412/9999, Iter 120560: Loss = 0.01313308347016573, lr = [0.0001] +[2024-06-08 23:52:15,531] - INFO: Epoch 2412/9999, Iter 120580: Loss = 0.013828217051923275, lr = [0.0001] +[2024-06-08 23:52:55,283] - INFO: Epoch 2413/9999, Iter 120600: Loss = 0.01172319520264864, lr = [0.0001] +[2024-06-08 23:53:37,152] - INFO: Epoch 2413/9999, Iter 120620: Loss = 0.006575257051736116, lr = [0.0001] +[2024-06-08 23:54:17,674] - INFO: Epoch 2413/9999, Iter 120640: Loss = 0.013160710223019123, lr = [0.0001] +[2024-06-08 23:54:58,928] - INFO: Epoch 2414/9999, Iter 120660: Loss = 0.010541017167270184, lr = [0.0001] +[2024-06-08 23:55:39,709] - INFO: Epoch 2414/9999, Iter 120680: Loss = 0.01116915326565504, lr = [0.0001] +[2024-06-08 23:56:20,308] - INFO: Epoch 2415/9999, Iter 120700: Loss = 0.011510668322443962, lr = [0.0001] +[2024-06-08 23:57:01,702] - INFO: Epoch 2415/9999, Iter 120720: Loss = 0.008961127139627934, lr = [0.0001] +[2024-06-08 23:57:41,231] - INFO: Epoch 2415/9999, Iter 120740: Loss = 0.009491024538874626, lr = [0.0001] +[2024-06-08 23:57:57,052] - INFO: Evaluate at epoch 2415! +[2024-06-08 23:58:01,393] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2140) +[2024-06-08 23:58:01,394] - INFO: Eval (with pad) PSNR (current): 38.102 (2415) SSIM (current): 0.9614 (2415) +[2024-06-08 23:58:01,394] - INFO: Evaluation over. +[2024-06-08 23:58:26,638] - INFO: Epoch 2416/9999, Iter 120760: Loss = 0.012623835355043411, lr = [0.0001] +[2024-06-08 23:59:07,762] - INFO: Epoch 2416/9999, Iter 120780: Loss = 0.008973034098744392, lr = [0.0001] +[2024-06-08 23:59:48,585] - INFO: Epoch 2417/9999, Iter 120800: Loss = 0.010617208667099476, lr = [0.0001] +[2024-06-09 00:00:29,327] - INFO: Epoch 2417/9999, Iter 120820: Loss = 0.014579756185412407, lr = [0.0001] +[2024-06-09 00:01:10,156] - INFO: Epoch 2417/9999, Iter 120840: Loss = 0.018843863159418106, lr = [0.0001] +[2024-06-09 00:01:51,326] - INFO: Epoch 2418/9999, Iter 120860: Loss = 0.008238041773438454, lr = [0.0001] +[2024-06-09 00:02:32,570] - INFO: Epoch 2418/9999, Iter 120880: Loss = 0.014151987619698048, lr = [0.0001] +[2024-06-09 00:03:12,065] - INFO: Epoch 2419/9999, Iter 120900: Loss = 0.01900186575949192, lr = [0.0001] +[2024-06-09 00:03:53,719] - INFO: Epoch 2419/9999, Iter 120920: Loss = 0.014949948526918888, lr = [0.0001] +[2024-06-09 00:04:34,912] - INFO: Epoch 2419/9999, Iter 120940: Loss = 0.011782675050199032, lr = [0.0001] +[2024-06-09 00:05:16,480] - INFO: Epoch 2420/9999, Iter 120960: Loss = 0.015282792039215565, lr = [0.0001] +[2024-06-09 00:05:55,338] - INFO: Epoch 2420/9999, Iter 120980: Loss = 0.014498439617455006, lr = [0.0001] +[2024-06-09 00:06:31,153] - INFO: Evaluate at epoch 2420! +[2024-06-09 00:06:35,434] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2140) +[2024-06-09 00:06:35,435] - INFO: Eval (with pad) PSNR (current): 38.126 (2420) SSIM (current): 0.9614 (2420) +[2024-06-09 00:06:35,435] - INFO: Evaluation over. +[2024-06-09 00:06:41,181] - INFO: Epoch 2421/9999, Iter 121000: Loss = 0.007324897218495607, lr = [0.0001] +[2024-06-09 00:07:22,979] - INFO: Epoch 2421/9999, Iter 121020: Loss = 0.014303685165941715, lr = [0.0001] +[2024-06-09 00:08:03,141] - INFO: Epoch 2421/9999, Iter 121040: Loss = 0.01048347819596529, lr = [0.0001] +[2024-06-09 00:08:41,560] - INFO: Epoch 2422/9999, Iter 121060: Loss = 0.01222442276775837, lr = [0.0001] +[2024-06-09 00:09:22,274] - INFO: Epoch 2422/9999, Iter 121080: Loss = 0.012649898417294025, lr = [0.0001] +[2024-06-09 00:10:01,389] - INFO: Epoch 2423/9999, Iter 121100: Loss = 0.013928168453276157, lr = [0.0001] +[2024-06-09 00:10:42,194] - INFO: Epoch 2423/9999, Iter 121120: Loss = 0.017111869528889656, lr = [0.0001] +[2024-06-09 00:11:22,440] - INFO: Epoch 2423/9999, Iter 121140: Loss = 0.01049553882330656, lr = [0.0001] +[2024-06-09 00:12:03,288] - INFO: Epoch 2424/9999, Iter 121160: Loss = 0.009904537349939346, lr = [0.0001] +[2024-06-09 00:12:42,839] - INFO: Epoch 2424/9999, Iter 121180: Loss = 0.01179039478302002, lr = [0.0001] +[2024-06-09 00:13:23,629] - INFO: Epoch 2425/9999, Iter 121200: Loss = 0.008648581802845001, lr = [0.0001] +[2024-06-09 00:14:03,017] - INFO: Epoch 2425/9999, Iter 121220: Loss = 0.013636482879519463, lr = [0.0001] +[2024-06-09 00:14:45,023] - INFO: Epoch 2425/9999, Iter 121240: Loss = 0.010244579054415226, lr = [0.0001] +[2024-06-09 00:15:00,618] - INFO: Evaluate at epoch 2425! +[2024-06-09 00:15:04,907] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2140) +[2024-06-09 00:15:04,908] - INFO: Eval (with pad) PSNR (current): 38.150 (2425) SSIM (current): 0.9614 (2425) +[2024-06-09 00:15:04,908] - INFO: Evaluation over. +[2024-06-09 00:15:30,241] - INFO: Epoch 2426/9999, Iter 121260: Loss = 0.007254758849740028, lr = [0.0001] +[2024-06-09 00:16:09,041] - INFO: Epoch 2426/9999, Iter 121280: Loss = 0.010873897932469845, lr = [0.0001] +[2024-06-09 00:16:48,058] - INFO: Epoch 2427/9999, Iter 121300: Loss = 0.011807923205196857, lr = [0.0001] +[2024-06-09 00:17:29,087] - INFO: Epoch 2427/9999, Iter 121320: Loss = 0.012583510018885136, lr = [0.0001] +[2024-06-09 00:18:09,337] - INFO: Epoch 2427/9999, Iter 121340: Loss = 0.012049132026731968, lr = [0.0001] +[2024-06-09 00:18:50,967] - INFO: Epoch 2428/9999, Iter 121360: Loss = 0.008164537139236927, lr = [0.0001] +[2024-06-09 00:19:30,655] - INFO: Epoch 2428/9999, Iter 121380: Loss = 0.010601569898426533, lr = [0.0001] +[2024-06-09 00:20:10,168] - INFO: Epoch 2429/9999, Iter 121400: Loss = 0.0113350385800004, lr = [0.0001] +[2024-06-09 00:20:50,746] - INFO: Epoch 2429/9999, Iter 121420: Loss = 0.009476423263549805, lr = [0.0001] +[2024-06-09 00:21:30,726] - INFO: Epoch 2429/9999, Iter 121440: Loss = 0.012328940443694592, lr = [0.0001] +[2024-06-09 00:22:10,859] - INFO: Epoch 2430/9999, Iter 121460: Loss = 0.01124514453113079, lr = [0.0001] +[2024-06-09 00:22:52,658] - INFO: Epoch 2430/9999, Iter 121480: Loss = 0.01089825201779604, lr = [0.0001] +[2024-06-09 00:23:28,553] - INFO: Evaluate at epoch 2430! +[2024-06-09 00:23:33,065] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2140) +[2024-06-09 00:23:33,065] - INFO: Eval (with pad) PSNR (current): 38.162 (2430) SSIM (current): 0.9614 (2430) +[2024-06-09 00:23:33,065] - INFO: Evaluation over. +[2024-06-09 00:23:38,329] - INFO: Epoch 2431/9999, Iter 121500: Loss = 0.011610006913542747, lr = [0.0001] +[2024-06-09 00:24:20,120] - INFO: Epoch 2431/9999, Iter 121520: Loss = 0.015309988521039486, lr = [0.0001] +[2024-06-09 00:25:00,031] - INFO: Epoch 2431/9999, Iter 121540: Loss = 0.009953361004590988, lr = [0.0001] +[2024-06-09 00:25:40,463] - INFO: Epoch 2432/9999, Iter 121560: Loss = 0.010678978636860847, lr = [0.0001] +[2024-06-09 00:26:20,495] - INFO: Epoch 2432/9999, Iter 121580: Loss = 0.010817586444318295, lr = [0.0001] +[2024-06-09 00:26:59,984] - INFO: Epoch 2433/9999, Iter 121600: Loss = 0.014479619450867176, lr = [0.0001] +[2024-06-09 00:27:41,419] - INFO: Epoch 2433/9999, Iter 121620: Loss = 0.014788304455578327, lr = [0.0001] +[2024-06-09 00:28:21,359] - INFO: Epoch 2433/9999, Iter 121640: Loss = 0.01795266382396221, lr = [0.0001] +[2024-06-09 00:29:01,644] - INFO: Epoch 2434/9999, Iter 121660: Loss = 0.013135862536728382, lr = [0.0001] +[2024-06-09 00:29:42,103] - INFO: Epoch 2434/9999, Iter 121680: Loss = 0.013378460891544819, lr = [0.0001] +[2024-06-09 00:30:20,529] - INFO: Epoch 2435/9999, Iter 121700: Loss = 0.01321982778608799, lr = [0.0001] +[2024-06-09 00:31:02,036] - INFO: Epoch 2435/9999, Iter 121720: Loss = 0.015941306948661804, lr = [0.0001] +[2024-06-09 00:31:42,382] - INFO: Epoch 2435/9999, Iter 121740: Loss = 0.01579693704843521, lr = [0.0001] +[2024-06-09 00:31:57,897] - INFO: Evaluate at epoch 2435! +[2024-06-09 00:32:04,040] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2435) +[2024-06-09 00:32:04,041] - INFO: Eval (with pad) PSNR (current): 38.116 (2435) SSIM (current): 0.9614 (2435) +[2024-06-09 00:32:04,041] - INFO: Evaluation over. +[2024-06-09 00:32:30,276] - INFO: Epoch 2436/9999, Iter 121760: Loss = 0.012041476555168629, lr = [0.0001] +[2024-06-09 00:33:10,693] - INFO: Epoch 2436/9999, Iter 121780: Loss = 0.013290710747241974, lr = [0.0001] +[2024-06-09 00:33:50,057] - INFO: Epoch 2437/9999, Iter 121800: Loss = 0.017867323011159897, lr = [0.0001] +[2024-06-09 00:34:30,990] - INFO: Epoch 2437/9999, Iter 121820: Loss = 0.01436610147356987, lr = [0.0001] +[2024-06-09 00:35:10,650] - INFO: Epoch 2437/9999, Iter 121840: Loss = 0.010325749404728413, lr = [0.0001] +[2024-06-09 00:35:50,564] - INFO: Epoch 2438/9999, Iter 121860: Loss = 0.012670106254518032, lr = [0.0001] +[2024-06-09 00:36:31,961] - INFO: Epoch 2438/9999, Iter 121880: Loss = 0.016162581741809845, lr = [0.0001] +[2024-06-09 00:37:11,848] - INFO: Epoch 2439/9999, Iter 121900: Loss = 0.01924256980419159, lr = [0.0001] +[2024-06-09 00:37:52,467] - INFO: Epoch 2439/9999, Iter 121920: Loss = 0.010739641264081001, lr = [0.0001] +[2024-06-09 00:38:32,353] - INFO: Epoch 2439/9999, Iter 121940: Loss = 0.011730234138667583, lr = [0.0001] +[2024-06-09 00:39:12,354] - INFO: Epoch 2440/9999, Iter 121960: Loss = 0.011815753765404224, lr = [0.0001] +[2024-06-09 00:39:53,681] - INFO: Epoch 2440/9999, Iter 121980: Loss = 0.02088453434407711, lr = [0.0001] +[2024-06-09 00:40:28,916] - INFO: Evaluate at epoch 2440! +[2024-06-09 00:40:33,187] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2435) +[2024-06-09 00:40:33,188] - INFO: Eval (with pad) PSNR (current): 38.123 (2440) SSIM (current): 0.9613 (2440) +[2024-06-09 00:40:33,188] - INFO: Evaluation over. +[2024-06-09 00:40:38,691] - INFO: Epoch 2441/9999, Iter 122000: Loss = 0.011416167952120304, lr = [0.0001] +[2024-06-09 00:41:19,380] - INFO: Epoch 2441/9999, Iter 122020: Loss = 0.010758709162473679, lr = [0.0001] +[2024-06-09 00:42:00,299] - INFO: Epoch 2441/9999, Iter 122040: Loss = 0.008640448562800884, lr = [0.0001] +[2024-06-09 00:42:39,786] - INFO: Epoch 2442/9999, Iter 122060: Loss = 0.009469921700656414, lr = [0.0001] +[2024-06-09 00:43:21,624] - INFO: Epoch 2442/9999, Iter 122080: Loss = 0.0163356214761734, lr = [0.0001] +[2024-06-09 00:44:00,444] - INFO: Epoch 2443/9999, Iter 122100: Loss = 0.012030888348817825, lr = [0.0001] +[2024-06-09 00:44:42,399] - INFO: Epoch 2443/9999, Iter 122120: Loss = 0.01384003832936287, lr = [0.0001] +[2024-06-09 00:45:21,743] - INFO: Epoch 2443/9999, Iter 122140: Loss = 0.014549226500093937, lr = [0.0001] +[2024-06-09 00:46:02,343] - INFO: Epoch 2444/9999, Iter 122160: Loss = 0.017477979883551598, lr = [0.0001] +[2024-06-09 00:46:42,284] - INFO: Epoch 2444/9999, Iter 122180: Loss = 0.013650011271238327, lr = [0.0001] +[2024-06-09 00:47:21,905] - INFO: Epoch 2445/9999, Iter 122200: Loss = 0.01719398982822895, lr = [0.0001] +[2024-06-09 00:48:02,502] - INFO: Epoch 2445/9999, Iter 122220: Loss = 0.012914080172777176, lr = [0.0001] +[2024-06-09 00:48:43,788] - INFO: Epoch 2445/9999, Iter 122240: Loss = 0.012410548515617847, lr = [0.0001] +[2024-06-09 00:48:59,333] - INFO: Evaluate at epoch 2445! +[2024-06-09 00:49:03,895] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2435) +[2024-06-09 00:49:03,895] - INFO: Eval (with pad) PSNR (current): 38.162 (2445) SSIM (current): 0.9613 (2445) +[2024-06-09 00:49:03,895] - INFO: Evaluation over. +[2024-06-09 00:49:30,462] - INFO: Epoch 2446/9999, Iter 122260: Loss = 0.013133037835359573, lr = [0.0001] +[2024-06-09 00:50:11,252] - INFO: Epoch 2446/9999, Iter 122280: Loss = 0.013680636882781982, lr = [0.0001] +[2024-06-09 00:50:50,703] - INFO: Epoch 2447/9999, Iter 122300: Loss = 0.01133445929735899, lr = [0.0001] +[2024-06-09 00:51:32,832] - INFO: Epoch 2447/9999, Iter 122320: Loss = 0.009998933412134647, lr = [0.0001] +[2024-06-09 00:52:11,952] - INFO: Epoch 2447/9999, Iter 122340: Loss = 0.009709838777780533, lr = [0.0001] +[2024-06-09 00:52:52,629] - INFO: Epoch 2448/9999, Iter 122360: Loss = 0.006161113735288382, lr = [0.0001] +[2024-06-09 00:53:33,209] - INFO: Epoch 2448/9999, Iter 122380: Loss = 0.011554906144738197, lr = [0.0001] +[2024-06-09 00:54:13,190] - INFO: Epoch 2449/9999, Iter 122400: Loss = 0.010373434983193874, lr = [0.0001] +[2024-06-09 00:54:54,747] - INFO: Epoch 2449/9999, Iter 122420: Loss = 0.01152324490249157, lr = [0.0001] +[2024-06-09 00:55:34,614] - INFO: Epoch 2449/9999, Iter 122440: Loss = 0.015390451066195965, lr = [0.0001] +[2024-06-09 00:56:15,995] - INFO: Epoch 2450/9999, Iter 122460: Loss = 0.012547861784696579, lr = [0.0001] +[2024-06-09 00:56:56,182] - INFO: Epoch 2450/9999, Iter 122480: Loss = 0.012400804087519646, lr = [0.0001] +[2024-06-09 00:57:32,510] - INFO: Evaluate at epoch 2450! +[2024-06-09 00:57:36,795] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2435) +[2024-06-09 00:57:36,796] - INFO: Eval (with pad) PSNR (current): 38.037 (2450) SSIM (current): 0.9612 (2450) +[2024-06-09 00:57:36,796] - INFO: Evaluation over. +[2024-06-09 00:57:42,365] - INFO: Epoch 2451/9999, Iter 122500: Loss = 0.01929509826004505, lr = [0.0001] +[2024-06-09 00:58:23,452] - INFO: Epoch 2451/9999, Iter 122520: Loss = 0.011013281531631947, lr = [0.0001] +[2024-06-09 00:59:03,547] - INFO: Epoch 2451/9999, Iter 122540: Loss = 0.013400658965110779, lr = [0.0001] +[2024-06-09 00:59:43,983] - INFO: Epoch 2452/9999, Iter 122560: Loss = 0.012998662889003754, lr = [0.0001] +[2024-06-09 01:00:23,587] - INFO: Epoch 2452/9999, Iter 122580: Loss = 0.010620695538818836, lr = [0.0001] +[2024-06-09 01:01:03,406] - INFO: Epoch 2453/9999, Iter 122600: Loss = 0.012258613482117653, lr = [0.0001] +[2024-06-09 01:01:44,235] - INFO: Epoch 2453/9999, Iter 122620: Loss = 0.016932491213083267, lr = [0.0001] +[2024-06-09 01:02:24,602] - INFO: Epoch 2453/9999, Iter 122640: Loss = 0.011187315918505192, lr = [0.0001] +[2024-06-09 01:03:05,714] - INFO: Epoch 2454/9999, Iter 122660: Loss = 0.013044476509094238, lr = [0.0001] +[2024-06-09 01:03:45,132] - INFO: Epoch 2454/9999, Iter 122680: Loss = 0.008118650875985622, lr = [0.0001] +[2024-06-09 01:04:24,197] - INFO: Epoch 2455/9999, Iter 122700: Loss = 0.014586163684725761, lr = [0.0001] +[2024-06-09 01:05:04,585] - INFO: Epoch 2455/9999, Iter 122720: Loss = 0.009586405009031296, lr = [0.0001] +[2024-06-09 01:05:44,512] - INFO: Epoch 2455/9999, Iter 122740: Loss = 0.016982708126306534, lr = [0.0001] +[2024-06-09 01:06:00,591] - INFO: Evaluate at epoch 2455! +[2024-06-09 01:06:05,286] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2435) +[2024-06-09 01:06:05,286] - INFO: Eval (with pad) PSNR (current): 38.158 (2455) SSIM (current): 0.9614 (2455) +[2024-06-09 01:06:05,286] - INFO: Evaluation over. +[2024-06-09 01:06:30,285] - INFO: Epoch 2456/9999, Iter 122760: Loss = 0.013942348770797253, lr = [0.0001] +[2024-06-09 01:07:10,524] - INFO: Epoch 2456/9999, Iter 122780: Loss = 0.012867532670497894, lr = [0.0001] +[2024-06-09 01:07:49,515] - INFO: Epoch 2457/9999, Iter 122800: Loss = 0.013530033640563488, lr = [0.0001] +[2024-06-09 01:08:30,576] - INFO: Epoch 2457/9999, Iter 122820: Loss = 0.01257176324725151, lr = [0.0001] +[2024-06-09 01:09:09,529] - INFO: Epoch 2457/9999, Iter 122840: Loss = 0.015782596543431282, lr = [0.0001] +[2024-06-09 01:09:50,686] - INFO: Epoch 2458/9999, Iter 122860: Loss = 0.014624996110796928, lr = [0.0001] +[2024-06-09 01:10:31,432] - INFO: Epoch 2458/9999, Iter 122880: Loss = 0.016573268920183182, lr = [0.0001] +[2024-06-09 01:11:09,981] - INFO: Epoch 2459/9999, Iter 122900: Loss = 0.011459843255579472, lr = [0.0001] +[2024-06-09 01:11:52,636] - INFO: Epoch 2459/9999, Iter 122920: Loss = 0.014586485922336578, lr = [0.0001] +[2024-06-09 01:12:32,384] - INFO: Epoch 2459/9999, Iter 122940: Loss = 0.015292675234377384, lr = [0.0001] +[2024-06-09 01:13:11,054] - INFO: Epoch 2460/9999, Iter 122960: Loss = 0.016305839642882347, lr = [0.0001] +[2024-06-09 01:13:52,813] - INFO: Epoch 2460/9999, Iter 122980: Loss = 0.010874180123209953, lr = [0.0001] +[2024-06-09 01:14:28,578] - INFO: Evaluate at epoch 2460! +[2024-06-09 01:14:32,770] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2435) +[2024-06-09 01:14:32,771] - INFO: Eval (with pad) PSNR (current): 38.169 (2460) SSIM (current): 0.9614 (2460) +[2024-06-09 01:14:32,771] - INFO: Evaluation over. +[2024-06-09 01:14:38,122] - INFO: Epoch 2461/9999, Iter 123000: Loss = 0.014448091387748718, lr = [0.0001] +[2024-06-09 01:15:18,994] - INFO: Epoch 2461/9999, Iter 123020: Loss = 0.015013648197054863, lr = [0.0001] +[2024-06-09 01:15:57,950] - INFO: Epoch 2461/9999, Iter 123040: Loss = 0.009800047613680363, lr = [0.0001] +[2024-06-09 01:16:38,865] - INFO: Epoch 2462/9999, Iter 123060: Loss = 0.013621686026453972, lr = [0.0001] +[2024-06-09 01:17:18,711] - INFO: Epoch 2462/9999, Iter 123080: Loss = 0.01554134488105774, lr = [0.0001] +[2024-06-09 01:17:58,889] - INFO: Epoch 2463/9999, Iter 123100: Loss = 0.01580173149704933, lr = [0.0001] +[2024-06-09 01:18:40,906] - INFO: Epoch 2463/9999, Iter 123120: Loss = 0.011266900226473808, lr = [0.0001] +[2024-06-09 01:19:22,666] - INFO: Epoch 2463/9999, Iter 123140: Loss = 0.012830938212573528, lr = [0.0001] +[2024-06-09 01:20:04,101] - INFO: Epoch 2464/9999, Iter 123160: Loss = 0.017979666590690613, lr = [0.0001] +[2024-06-09 01:20:44,413] - INFO: Epoch 2464/9999, Iter 123180: Loss = 0.008929912932217121, lr = [0.0001] +[2024-06-09 01:21:23,740] - INFO: Epoch 2465/9999, Iter 123200: Loss = 0.011396240442991257, lr = [0.0001] +[2024-06-09 01:22:05,487] - INFO: Epoch 2465/9999, Iter 123220: Loss = 0.008851001039147377, lr = [0.0001] +[2024-06-09 01:22:44,802] - INFO: Epoch 2465/9999, Iter 123240: Loss = 0.01070981565862894, lr = [0.0001] +[2024-06-09 01:23:00,846] - INFO: Evaluate at epoch 2465! +[2024-06-09 01:23:05,284] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2435) +[2024-06-09 01:23:05,284] - INFO: Eval (with pad) PSNR (current): 38.162 (2465) SSIM (current): 0.9613 (2465) +[2024-06-09 01:23:05,284] - INFO: Evaluation over. +[2024-06-09 01:23:31,040] - INFO: Epoch 2466/9999, Iter 123260: Loss = 0.013807335868477821, lr = [0.0001] +[2024-06-09 01:24:11,873] - INFO: Epoch 2466/9999, Iter 123280: Loss = 0.011885741725564003, lr = [0.0001] +[2024-06-09 01:24:50,535] - INFO: Epoch 2467/9999, Iter 123300: Loss = 0.008870700374245644, lr = [0.0001] +[2024-06-09 01:25:30,585] - INFO: Epoch 2467/9999, Iter 123320: Loss = 0.012010578997433186, lr = [0.0001] +[2024-06-09 01:26:10,741] - INFO: Epoch 2467/9999, Iter 123340: Loss = 0.010582036338746548, lr = [0.0001] +[2024-06-09 01:26:51,463] - INFO: Epoch 2468/9999, Iter 123360: Loss = 0.018057195469737053, lr = [0.0001] +[2024-06-09 01:27:31,194] - INFO: Epoch 2468/9999, Iter 123380: Loss = 0.012649326585233212, lr = [0.0001] +[2024-06-09 01:28:11,145] - INFO: Epoch 2469/9999, Iter 123400: Loss = 0.018551547080278397, lr = [0.0001] +[2024-06-09 01:28:53,770] - INFO: Epoch 2469/9999, Iter 123420: Loss = 0.009018713608384132, lr = [0.0001] +[2024-06-09 01:29:32,993] - INFO: Epoch 2469/9999, Iter 123440: Loss = 0.010564499534666538, lr = [0.0001] +[2024-06-09 01:30:15,107] - INFO: Epoch 2470/9999, Iter 123460: Loss = 0.01468696165829897, lr = [0.0001] +[2024-06-09 01:30:54,545] - INFO: Epoch 2470/9999, Iter 123480: Loss = 0.01273349393159151, lr = [0.0001] +[2024-06-09 01:31:30,190] - INFO: Evaluate at epoch 2470! +[2024-06-09 01:31:34,493] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2435) +[2024-06-09 01:31:34,493] - INFO: Eval (with pad) PSNR (current): 38.158 (2470) SSIM (current): 0.9614 (2470) +[2024-06-09 01:31:34,494] - INFO: Evaluation over. +[2024-06-09 01:31:40,017] - INFO: Epoch 2471/9999, Iter 123500: Loss = 0.0067762769758701324, lr = [0.0001] +[2024-06-09 01:32:20,821] - INFO: Epoch 2471/9999, Iter 123520: Loss = 0.012858949601650238, lr = [0.0001] +[2024-06-09 01:32:58,670] - INFO: Epoch 2471/9999, Iter 123540: Loss = 0.018608346581459045, lr = [0.0001] +[2024-06-09 01:33:38,067] - INFO: Epoch 2472/9999, Iter 123560: Loss = 0.01623561605811119, lr = [0.0001] +[2024-06-09 01:34:17,682] - INFO: Epoch 2472/9999, Iter 123580: Loss = 0.01969863288104534, lr = [0.0001] +[2024-06-09 01:34:56,188] - INFO: Epoch 2473/9999, Iter 123600: Loss = 0.0074914894066751, lr = [0.0001] +[2024-06-09 01:35:38,564] - INFO: Epoch 2473/9999, Iter 123620: Loss = 0.016375793144106865, lr = [0.0001] +[2024-06-09 01:36:18,523] - INFO: Epoch 2473/9999, Iter 123640: Loss = 0.005945955403149128, lr = [0.0001] +[2024-06-09 01:36:58,746] - INFO: Epoch 2474/9999, Iter 123660: Loss = 0.012065209448337555, lr = [0.0001] +[2024-06-09 01:37:40,056] - INFO: Epoch 2474/9999, Iter 123680: Loss = 0.01656956970691681, lr = [0.0001] +[2024-06-09 01:38:20,412] - INFO: Epoch 2475/9999, Iter 123700: Loss = 0.007410175167024136, lr = [0.0001] +[2024-06-09 01:39:00,884] - INFO: Epoch 2475/9999, Iter 123720: Loss = 0.012755957432091236, lr = [0.0001] +[2024-06-09 01:39:40,689] - INFO: Epoch 2475/9999, Iter 123740: Loss = 0.011428484693169594, lr = [0.0001] +[2024-06-09 01:39:55,521] - INFO: Evaluate at epoch 2475! +[2024-06-09 01:40:01,581] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2475) +[2024-06-09 01:40:01,581] - INFO: Eval (with pad) PSNR (current): 38.139 (2475) SSIM (current): 0.9614 (2475) +[2024-06-09 01:40:01,582] - INFO: Evaluation over. +[2024-06-09 01:40:26,140] - INFO: Epoch 2476/9999, Iter 123760: Loss = 0.011746988631784916, lr = [0.0001] +[2024-06-09 01:41:06,704] - INFO: Epoch 2476/9999, Iter 123780: Loss = 0.013666640967130661, lr = [0.0001] +[2024-06-09 01:41:47,609] - INFO: Epoch 2477/9999, Iter 123800: Loss = 0.01384502649307251, lr = [0.0001] +[2024-06-09 01:42:29,744] - INFO: Epoch 2477/9999, Iter 123820: Loss = 0.013610605150461197, lr = [0.0001] +[2024-06-09 01:43:06,990] - INFO: Epoch 2477/9999, Iter 123840: Loss = 0.013724402524530888, lr = [0.0001] +[2024-06-09 01:43:47,539] - INFO: Epoch 2478/9999, Iter 123860: Loss = 0.013742951676249504, lr = [0.0001] +[2024-06-09 01:44:27,665] - INFO: Epoch 2478/9999, Iter 123880: Loss = 0.008427584543824196, lr = [0.0001] +[2024-06-09 01:45:06,878] - INFO: Epoch 2479/9999, Iter 123900: Loss = 0.014817803166806698, lr = [0.0001] +[2024-06-09 01:45:47,934] - INFO: Epoch 2479/9999, Iter 123920: Loss = 0.009688342921435833, lr = [0.0001] +[2024-06-09 01:46:28,326] - INFO: Epoch 2479/9999, Iter 123940: Loss = 0.013928819447755814, lr = [0.0001] +[2024-06-09 01:47:09,025] - INFO: Epoch 2480/9999, Iter 123960: Loss = 0.01731257699429989, lr = [0.0001] +[2024-06-09 01:47:49,244] - INFO: Epoch 2480/9999, Iter 123980: Loss = 0.011440275236964226, lr = [0.0001] +[2024-06-09 01:48:24,331] - INFO: Evaluate at epoch 2480! +[2024-06-09 01:48:28,631] - INFO: Eval (with pad) PSNR (max): 38.171 (2390) SSIM (max): 0.9614 (2475) +[2024-06-09 01:48:28,631] - INFO: Eval (with pad) PSNR (current): 38.160 (2480) SSIM (current): 0.9613 (2480) +[2024-06-09 01:48:28,631] - INFO: Evaluation over. +[2024-06-09 01:48:33,925] - INFO: Epoch 2481/9999, Iter 124000: Loss = 0.017296837642788887, lr = [0.0001] +[2024-06-09 01:49:16,134] - INFO: Epoch 2481/9999, Iter 124020: Loss = 0.012032519094645977, lr = [0.0001] +[2024-06-09 01:49:54,890] - INFO: Epoch 2481/9999, Iter 124040: Loss = 0.009034832939505577, lr = [0.0001] +[2024-06-09 01:50:36,641] - INFO: Epoch 2482/9999, Iter 124060: Loss = 0.011267783120274544, lr = [0.0001] +[2024-06-09 01:51:16,916] - INFO: Epoch 2482/9999, Iter 124080: Loss = 0.01121570635586977, lr = [0.0001] +[2024-06-09 01:51:55,934] - INFO: Epoch 2483/9999, Iter 124100: Loss = 0.011831282638013363, lr = [0.0001] +[2024-06-09 01:52:36,927] - INFO: Epoch 2483/9999, Iter 124120: Loss = 0.013819140382111073, lr = [0.0001] +[2024-06-09 01:53:16,510] - INFO: Epoch 2483/9999, Iter 124140: Loss = 0.011791747063398361, lr = [0.0001] +[2024-06-09 01:53:56,561] - INFO: Epoch 2484/9999, Iter 124160: Loss = 0.015246984548866749, lr = [0.0001] +[2024-06-09 01:54:37,282] - INFO: Epoch 2484/9999, Iter 124180: Loss = 0.012230939231812954, lr = [0.0001] +[2024-06-09 01:55:15,881] - INFO: Epoch 2485/9999, Iter 124200: Loss = 0.010609841905534267, lr = [0.0001] +[2024-06-09 01:55:56,492] - INFO: Epoch 2485/9999, Iter 124220: Loss = 0.015585272572934628, lr = [0.0001] +[2024-06-09 01:56:37,067] - INFO: Epoch 2485/9999, Iter 124240: Loss = 0.016074569895863533, lr = [0.0001] +[2024-06-09 01:56:52,769] - INFO: Evaluate at epoch 2485! +[2024-06-09 01:56:59,215] - INFO: Eval (with pad) PSNR (max): 38.173 (2485) SSIM (max): 0.9614 (2475) +[2024-06-09 01:56:59,216] - INFO: Eval (with pad) PSNR (current): 38.173 (2485) SSIM (current): 0.9614 (2485) +[2024-06-09 01:56:59,216] - INFO: Evaluation over. +[2024-06-09 01:57:25,409] - INFO: Epoch 2486/9999, Iter 124260: Loss = 0.011032183654606342, lr = [0.0001] +[2024-06-09 01:58:06,014] - INFO: Epoch 2486/9999, Iter 124280: Loss = 0.015223752707242966, lr = [0.0001] +[2024-06-09 01:58:46,237] - INFO: Epoch 2487/9999, Iter 124300: Loss = 0.02133636549115181, lr = [0.0001] +[2024-06-09 01:59:28,166] - INFO: Epoch 2487/9999, Iter 124320: Loss = 0.014409641735255718, lr = [0.0001] +[2024-06-09 02:00:08,093] - INFO: Epoch 2487/9999, Iter 124340: Loss = 0.01204830314964056, lr = [0.0001] +[2024-06-09 02:00:49,002] - INFO: Epoch 2488/9999, Iter 124360: Loss = 0.013374518603086472, lr = [0.0001] +[2024-06-09 02:01:30,132] - INFO: Epoch 2488/9999, Iter 124380: Loss = 0.011661697179079056, lr = [0.0001] +[2024-06-09 02:02:09,398] - INFO: Epoch 2489/9999, Iter 124400: Loss = 0.01241126749664545, lr = [0.0001] +[2024-06-09 02:02:49,792] - INFO: Epoch 2489/9999, Iter 124420: Loss = 0.013065031729638577, lr = [0.0001] +[2024-06-09 02:03:31,625] - INFO: Epoch 2489/9999, Iter 124440: Loss = 0.011063825339078903, lr = [0.0001] +[2024-06-09 02:04:11,817] - INFO: Epoch 2490/9999, Iter 124460: Loss = 0.013590632006525993, lr = [0.0001] +[2024-06-09 02:04:53,575] - INFO: Epoch 2490/9999, Iter 124480: Loss = 0.011216998100280762, lr = [0.0001] +[2024-06-09 02:05:27,871] - INFO: Evaluate at epoch 2490! +[2024-06-09 02:05:32,131] - INFO: Eval (with pad) PSNR (max): 38.173 (2485) SSIM (max): 0.9614 (2475) +[2024-06-09 02:05:32,131] - INFO: Eval (with pad) PSNR (current): 38.099 (2490) SSIM (current): 0.9613 (2490) +[2024-06-09 02:05:32,131] - INFO: Evaluation over. +[2024-06-09 02:05:37,243] - INFO: Epoch 2491/9999, Iter 124500: Loss = 0.009801547043025494, lr = [0.0001] +[2024-06-09 02:06:19,117] - INFO: Epoch 2491/9999, Iter 124520: Loss = 0.009784872643649578, lr = [0.0001] +[2024-06-09 02:06:58,330] - INFO: Epoch 2491/9999, Iter 124540: Loss = 0.01672547124326229, lr = [0.0001] +[2024-06-09 02:07:39,528] - INFO: Epoch 2492/9999, Iter 124560: Loss = 0.012741683050990105, lr = [0.0001] +[2024-06-09 02:08:20,689] - INFO: Epoch 2492/9999, Iter 124580: Loss = 0.014042041264474392, lr = [0.0001] +[2024-06-09 02:08:59,957] - INFO: Epoch 2493/9999, Iter 124600: Loss = 0.011743596754968166, lr = [0.0001] +[2024-06-09 02:09:40,824] - INFO: Epoch 2493/9999, Iter 124620: Loss = 0.012236331589519978, lr = [0.0001] +[2024-06-09 02:10:19,260] - INFO: Epoch 2493/9999, Iter 124640: Loss = 0.010412675328552723, lr = [0.0001] +[2024-06-09 02:10:59,721] - INFO: Epoch 2494/9999, Iter 124660: Loss = 0.0075678518041968346, lr = [0.0001] +[2024-06-09 02:11:41,437] - INFO: Epoch 2494/9999, Iter 124680: Loss = 0.019211167469620705, lr = [0.0001] +[2024-06-09 02:12:21,069] - INFO: Epoch 2495/9999, Iter 124700: Loss = 0.009038068354129791, lr = [0.0001] +[2024-06-09 02:13:02,253] - INFO: Epoch 2495/9999, Iter 124720: Loss = 0.011465135961771011, lr = [0.0001] +[2024-06-09 02:13:41,409] - INFO: Epoch 2495/9999, Iter 124740: Loss = 0.011610173620283604, lr = [0.0001] +[2024-06-09 02:13:57,305] - INFO: Evaluate at epoch 2495! +[2024-06-09 02:14:01,808] - INFO: Eval (with pad) PSNR (max): 38.173 (2485) SSIM (max): 0.9614 (2475) +[2024-06-09 02:14:01,808] - INFO: Eval (with pad) PSNR (current): 38.082 (2495) SSIM (current): 0.9612 (2495) +[2024-06-09 02:14:01,808] - INFO: Evaluation over. +[2024-06-09 02:14:26,444] - INFO: Epoch 2496/9999, Iter 124760: Loss = 0.021261712536215782, lr = [0.0001] +[2024-06-09 02:15:06,526] - INFO: Epoch 2496/9999, Iter 124780: Loss = 0.012587565928697586, lr = [0.0001] +[2024-06-09 02:15:46,797] - INFO: Epoch 2497/9999, Iter 124800: Loss = 0.010997731238603592, lr = [0.0001] +[2024-06-09 02:16:28,863] - INFO: Epoch 2497/9999, Iter 124820: Loss = 0.01803673803806305, lr = [0.0001] +[2024-06-09 02:17:09,085] - INFO: Epoch 2497/9999, Iter 124840: Loss = 0.016176175326108932, lr = [0.0001] +[2024-06-09 02:17:49,261] - INFO: Epoch 2498/9999, Iter 124860: Loss = 0.00876978226006031, lr = [0.0001] +[2024-06-09 02:18:29,045] - INFO: Epoch 2498/9999, Iter 124880: Loss = 0.014935857616364956, lr = [0.0001] +[2024-06-09 02:19:09,649] - INFO: Epoch 2499/9999, Iter 124900: Loss = 0.010955226607620716, lr = [0.0001] +[2024-06-09 02:19:52,533] - INFO: Epoch 2499/9999, Iter 124920: Loss = 0.012110584415495396, lr = [0.0001] +[2024-06-09 02:20:31,305] - INFO: Epoch 2499/9999, Iter 124940: Loss = 0.013857073150575161, lr = [0.0001] +[2024-06-09 02:21:12,164] - INFO: Epoch 2500/9999, Iter 124960: Loss = 0.008115863427519798, lr = [0.0001] +[2024-06-09 02:21:51,842] - INFO: Epoch 2500/9999, Iter 124980: Loss = 0.011798862367868423, lr = [0.0001] +[2024-06-09 02:22:27,938] - INFO: Evaluate at epoch 2500! +[2024-06-09 02:22:32,551] - INFO: Eval (with pad) PSNR (max): 38.173 (2485) SSIM (max): 0.9614 (2475) +[2024-06-09 02:22:32,551] - INFO: Eval (with pad) PSNR (current): 38.155 (2500) SSIM (current): 0.9614 (2500) +[2024-06-09 02:22:32,552] - INFO: Evaluation over. +[2024-06-09 02:22:38,036] - INFO: Epoch 2501/9999, Iter 125000: Loss = 0.010187385603785515, lr = [0.0001] +[2024-06-09 02:23:17,996] - INFO: Epoch 2501/9999, Iter 125020: Loss = 0.009890132583677769, lr = [0.0001] +[2024-06-09 02:23:57,770] - INFO: Epoch 2501/9999, Iter 125040: Loss = 0.015535707585513592, lr = [0.0001] +[2024-06-09 02:24:38,625] - INFO: Epoch 2502/9999, Iter 125060: Loss = 0.0076217856258153915, lr = [0.0001] +[2024-06-09 02:25:17,004] - INFO: Epoch 2502/9999, Iter 125080: Loss = 0.012154005467891693, lr = [0.0001] +[2024-06-09 02:25:56,858] - INFO: Epoch 2503/9999, Iter 125100: Loss = 0.011308879591524601, lr = [0.0001] +[2024-06-09 02:26:37,533] - INFO: Epoch 2503/9999, Iter 125120: Loss = 0.010090882889926434, lr = [0.0001] +[2024-06-09 02:27:17,128] - INFO: Epoch 2503/9999, Iter 125140: Loss = 0.010184168815612793, lr = [0.0001] +[2024-06-09 02:27:58,760] - INFO: Epoch 2504/9999, Iter 125160: Loss = 0.011146715842187405, lr = [0.0001] +[2024-06-09 02:28:39,314] - INFO: Epoch 2504/9999, Iter 125180: Loss = 0.0063764736987650394, lr = [0.0001] +[2024-06-09 02:29:19,551] - INFO: Epoch 2505/9999, Iter 125200: Loss = 0.011118398979306221, lr = [0.0001] +[2024-06-09 02:30:00,030] - INFO: Epoch 2505/9999, Iter 125220: Loss = 0.009829622693359852, lr = [0.0001] +[2024-06-09 02:30:38,906] - INFO: Epoch 2505/9999, Iter 125240: Loss = 0.01055773813277483, lr = [0.0001] +[2024-06-09 02:30:54,944] - INFO: Evaluate at epoch 2505! +[2024-06-09 02:30:59,232] - INFO: Eval (with pad) PSNR (max): 38.173 (2485) SSIM (max): 0.9614 (2475) +[2024-06-09 02:30:59,232] - INFO: Eval (with pad) PSNR (current): 38.121 (2505) SSIM (current): 0.9612 (2505) +[2024-06-09 02:30:59,232] - INFO: Evaluation over. +[2024-06-09 02:31:25,980] - INFO: Epoch 2506/9999, Iter 125260: Loss = 0.01858476549386978, lr = [0.0001] +[2024-06-09 02:32:06,557] - INFO: Epoch 2506/9999, Iter 125280: Loss = 0.013128291815519333, lr = [0.0001] +[2024-06-09 02:32:44,925] - INFO: Epoch 2507/9999, Iter 125300: Loss = 0.011605264618992805, lr = [0.0001] +[2024-06-09 02:33:25,752] - INFO: Epoch 2507/9999, Iter 125320: Loss = 0.013447434641420841, lr = [0.0001] +[2024-06-09 02:34:05,135] - INFO: Epoch 2507/9999, Iter 125340: Loss = 0.012281693518161774, lr = [0.0001] +[2024-06-09 02:34:46,189] - INFO: Epoch 2508/9999, Iter 125360: Loss = 0.014349167235195637, lr = [0.0001] +[2024-06-09 02:35:26,523] - INFO: Epoch 2508/9999, Iter 125380: Loss = 0.011585731990635395, lr = [0.0001] +[2024-06-09 02:36:07,262] - INFO: Epoch 2509/9999, Iter 125400: Loss = 0.008796502836048603, lr = [0.0001] +[2024-06-09 02:36:49,367] - INFO: Epoch 2509/9999, Iter 125420: Loss = 0.010867465287446976, lr = [0.0001] +[2024-06-09 02:37:28,094] - INFO: Epoch 2509/9999, Iter 125440: Loss = 0.014167909510433674, lr = [0.0001] +[2024-06-09 02:38:09,895] - INFO: Epoch 2510/9999, Iter 125460: Loss = 0.012656335718929768, lr = [0.0001] +[2024-06-09 02:38:48,834] - INFO: Epoch 2510/9999, Iter 125480: Loss = 0.01285148598253727, lr = [0.0001] +[2024-06-09 02:39:23,943] - INFO: Evaluate at epoch 2510! +[2024-06-09 02:39:28,244] - INFO: Eval (with pad) PSNR (max): 38.173 (2485) SSIM (max): 0.9614 (2475) +[2024-06-09 02:39:28,244] - INFO: Eval (with pad) PSNR (current): 38.146 (2510) SSIM (current): 0.9613 (2510) +[2024-06-09 02:39:28,244] - INFO: Evaluation over. +[2024-06-09 02:39:33,937] - INFO: Epoch 2511/9999, Iter 125500: Loss = 0.012397382408380508, lr = [0.0001] +[2024-06-09 02:40:16,464] - INFO: Epoch 2511/9999, Iter 125520: Loss = 0.010004215873777866, lr = [0.0001] +[2024-06-09 02:40:57,000] - INFO: Epoch 2511/9999, Iter 125540: Loss = 0.010470028035342693, lr = [0.0001] +[2024-06-09 02:41:36,726] - INFO: Epoch 2512/9999, Iter 125560: Loss = 0.013257228769361973, lr = [0.0001] +[2024-06-09 02:42:17,017] - INFO: Epoch 2512/9999, Iter 125580: Loss = 0.016119444742798805, lr = [0.0001] +[2024-06-09 02:42:56,309] - INFO: Epoch 2513/9999, Iter 125600: Loss = 0.012872645631432533, lr = [0.0001] +[2024-06-09 02:43:38,615] - INFO: Epoch 2513/9999, Iter 125620: Loss = 0.0144933657720685, lr = [0.0001] +[2024-06-09 02:44:18,287] - INFO: Epoch 2513/9999, Iter 125640: Loss = 0.009511089883744717, lr = [0.0001] +[2024-06-09 02:44:59,469] - INFO: Epoch 2514/9999, Iter 125660: Loss = 0.014015642926096916, lr = [0.0001] +[2024-06-09 02:45:40,114] - INFO: Epoch 2514/9999, Iter 125680: Loss = 0.01642707549035549, lr = [0.0001] +[2024-06-09 02:46:19,100] - INFO: Epoch 2515/9999, Iter 125700: Loss = 0.014351333491504192, lr = [0.0001] +[2024-06-09 02:47:01,405] - INFO: Epoch 2515/9999, Iter 125720: Loss = 0.010833226144313812, lr = [0.0001] +[2024-06-09 02:47:41,738] - INFO: Epoch 2515/9999, Iter 125740: Loss = 0.010600559413433075, lr = [0.0001] +[2024-06-09 02:47:57,202] - INFO: Evaluate at epoch 2515! +[2024-06-09 02:48:02,762] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 02:48:02,762] - INFO: Eval (with pad) PSNR (current): 38.177 (2515) SSIM (current): 0.9614 (2515) +[2024-06-09 02:48:02,762] - INFO: Evaluation over. +[2024-06-09 02:48:28,348] - INFO: Epoch 2516/9999, Iter 125760: Loss = 0.010121787898242474, lr = [0.0001] +[2024-06-09 02:49:08,019] - INFO: Epoch 2516/9999, Iter 125780: Loss = 0.010888422839343548, lr = [0.0001] +[2024-06-09 02:49:48,155] - INFO: Epoch 2517/9999, Iter 125800: Loss = 0.012210040353238583, lr = [0.0001] +[2024-06-09 02:50:30,135] - INFO: Epoch 2517/9999, Iter 125820: Loss = 0.01882360689342022, lr = [0.0001] +[2024-06-09 02:51:10,871] - INFO: Epoch 2517/9999, Iter 125840: Loss = 0.00962932500988245, lr = [0.0001] +[2024-06-09 02:51:51,520] - INFO: Epoch 2518/9999, Iter 125860: Loss = 0.012315350584685802, lr = [0.0001] +[2024-06-09 02:52:30,955] - INFO: Epoch 2518/9999, Iter 125880: Loss = 0.014668506570160389, lr = [0.0001] +[2024-06-09 02:53:11,225] - INFO: Epoch 2519/9999, Iter 125900: Loss = 0.02191964164376259, lr = [0.0001] +[2024-06-09 02:53:50,610] - INFO: Epoch 2519/9999, Iter 125920: Loss = 0.0178911704570055, lr = [0.0001] +[2024-06-09 02:54:31,599] - INFO: Epoch 2519/9999, Iter 125940: Loss = 0.0096660777926445, lr = [0.0001] +[2024-06-09 02:55:12,248] - INFO: Epoch 2520/9999, Iter 125960: Loss = 0.01900319568812847, lr = [0.0001] +[2024-06-09 02:55:52,765] - INFO: Epoch 2520/9999, Iter 125980: Loss = 0.010930944234132767, lr = [0.0001] +[2024-06-09 02:56:27,425] - INFO: Evaluate at epoch 2520! +[2024-06-09 02:56:31,739] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 02:56:31,739] - INFO: Eval (with pad) PSNR (current): 38.163 (2520) SSIM (current): 0.9614 (2520) +[2024-06-09 02:56:31,739] - INFO: Evaluation over. +[2024-06-09 02:56:36,977] - INFO: Epoch 2521/9999, Iter 126000: Loss = 0.010523014701902866, lr = [0.0001] +[2024-06-09 02:57:17,086] - INFO: Epoch 2521/9999, Iter 126020: Loss = 0.011745141819119453, lr = [0.0001] +[2024-06-09 02:57:57,705] - INFO: Epoch 2521/9999, Iter 126040: Loss = 0.009614200331270695, lr = [0.0001] +[2024-06-09 02:58:39,584] - INFO: Epoch 2522/9999, Iter 126060: Loss = 0.01476433128118515, lr = [0.0001] +[2024-06-09 02:59:20,742] - INFO: Epoch 2522/9999, Iter 126080: Loss = 0.010605123825371265, lr = [0.0001] +[2024-06-09 03:00:00,940] - INFO: Epoch 2523/9999, Iter 126100: Loss = 0.008988291956484318, lr = [0.0001] +[2024-06-09 03:00:40,717] - INFO: Epoch 2523/9999, Iter 126120: Loss = 0.01019129529595375, lr = [0.0001] +[2024-06-09 03:01:20,813] - INFO: Epoch 2523/9999, Iter 126140: Loss = 0.011976474896073341, lr = [0.0001] +[2024-06-09 03:02:01,520] - INFO: Epoch 2524/9999, Iter 126160: Loss = 0.01444257888942957, lr = [0.0001] +[2024-06-09 03:02:41,266] - INFO: Epoch 2524/9999, Iter 126180: Loss = 0.014295145869255066, lr = [0.0001] +[2024-06-09 03:03:22,045] - INFO: Epoch 2525/9999, Iter 126200: Loss = 0.011134909465909004, lr = [0.0001] +[2024-06-09 03:04:03,025] - INFO: Epoch 2525/9999, Iter 126220: Loss = 0.011667639948427677, lr = [0.0001] +[2024-06-09 03:04:43,272] - INFO: Epoch 2525/9999, Iter 126240: Loss = 0.01504786778241396, lr = [0.0001] +[2024-06-09 03:04:58,730] - INFO: Evaluate at epoch 2525! +[2024-06-09 03:05:03,142] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 03:05:03,142] - INFO: Eval (with pad) PSNR (current): 38.159 (2525) SSIM (current): 0.9614 (2525) +[2024-06-09 03:05:03,143] - INFO: Evaluation over. +[2024-06-09 03:05:30,936] - INFO: Epoch 2526/9999, Iter 126260: Loss = 0.011334224604070187, lr = [0.0001] +[2024-06-09 03:06:11,408] - INFO: Epoch 2526/9999, Iter 126280: Loss = 0.011057267896831036, lr = [0.0001] +[2024-06-09 03:06:49,658] - INFO: Epoch 2527/9999, Iter 126300: Loss = 0.01074556726962328, lr = [0.0001] +[2024-06-09 03:07:31,224] - INFO: Epoch 2527/9999, Iter 126320: Loss = 0.01235184259712696, lr = [0.0001] +[2024-06-09 03:08:12,065] - INFO: Epoch 2527/9999, Iter 126340: Loss = 0.013598470948636532, lr = [0.0001] +[2024-06-09 03:08:51,654] - INFO: Epoch 2528/9999, Iter 126360: Loss = 0.010329789482057095, lr = [0.0001] +[2024-06-09 03:09:31,920] - INFO: Epoch 2528/9999, Iter 126380: Loss = 0.014453213661909103, lr = [0.0001] +[2024-06-09 03:10:12,859] - INFO: Epoch 2529/9999, Iter 126400: Loss = 0.009583402425050735, lr = [0.0001] +[2024-06-09 03:10:54,548] - INFO: Epoch 2529/9999, Iter 126420: Loss = 0.011434847488999367, lr = [0.0001] +[2024-06-09 03:11:34,147] - INFO: Epoch 2529/9999, Iter 126440: Loss = 0.01288557518273592, lr = [0.0001] +[2024-06-09 03:12:15,745] - INFO: Epoch 2530/9999, Iter 126460: Loss = 0.016241736710071564, lr = [0.0001] +[2024-06-09 03:12:55,673] - INFO: Epoch 2530/9999, Iter 126480: Loss = 0.011501848697662354, lr = [0.0001] +[2024-06-09 03:13:32,678] - INFO: Evaluate at epoch 2530! +[2024-06-09 03:13:37,076] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 03:13:37,076] - INFO: Eval (with pad) PSNR (current): 38.136 (2530) SSIM (current): 0.9614 (2530) +[2024-06-09 03:13:37,076] - INFO: Evaluation over. +[2024-06-09 03:13:42,128] - INFO: Epoch 2531/9999, Iter 126500: Loss = 0.010886364616453648, lr = [0.0001] +[2024-06-09 03:14:23,387] - INFO: Epoch 2531/9999, Iter 126520: Loss = 0.017858030274510384, lr = [0.0001] +[2024-06-09 03:15:02,732] - INFO: Epoch 2531/9999, Iter 126540: Loss = 0.019790198653936386, lr = [0.0001] +[2024-06-09 03:15:43,005] - INFO: Epoch 2532/9999, Iter 126560: Loss = 0.011766101233661175, lr = [0.0001] +[2024-06-09 03:16:23,848] - INFO: Epoch 2532/9999, Iter 126580: Loss = 0.016364267095923424, lr = [0.0001] +[2024-06-09 03:17:03,890] - INFO: Epoch 2533/9999, Iter 126600: Loss = 0.009027714841067791, lr = [0.0001] +[2024-06-09 03:17:44,844] - INFO: Epoch 2533/9999, Iter 126620: Loss = 0.01581193320453167, lr = [0.0001] +[2024-06-09 03:18:26,618] - INFO: Epoch 2533/9999, Iter 126640: Loss = 0.010701620951294899, lr = [0.0001] +[2024-06-09 03:19:05,185] - INFO: Epoch 2534/9999, Iter 126660: Loss = 0.012685912661254406, lr = [0.0001] +[2024-06-09 03:19:46,029] - INFO: Epoch 2534/9999, Iter 126680: Loss = 0.01013738103210926, lr = [0.0001] +[2024-06-09 03:20:25,171] - INFO: Epoch 2535/9999, Iter 126700: Loss = 0.015208332799375057, lr = [0.0001] +[2024-06-09 03:21:06,109] - INFO: Epoch 2535/9999, Iter 126720: Loss = 0.014869393780827522, lr = [0.0001] +[2024-06-09 03:21:46,279] - INFO: Epoch 2535/9999, Iter 126740: Loss = 0.017478659749031067, lr = [0.0001] +[2024-06-09 03:22:02,447] - INFO: Evaluate at epoch 2535! +[2024-06-09 03:22:06,752] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 03:22:06,752] - INFO: Eval (with pad) PSNR (current): 38.131 (2535) SSIM (current): 0.9613 (2535) +[2024-06-09 03:22:06,752] - INFO: Evaluation over. +[2024-06-09 03:22:33,633] - INFO: Epoch 2536/9999, Iter 126760: Loss = 0.01443084329366684, lr = [0.0001] +[2024-06-09 03:23:13,379] - INFO: Epoch 2536/9999, Iter 126780: Loss = 0.009405260905623436, lr = [0.0001] +[2024-06-09 03:23:51,599] - INFO: Epoch 2537/9999, Iter 126800: Loss = 0.015842363238334656, lr = [0.0001] +[2024-06-09 03:24:32,174] - INFO: Epoch 2537/9999, Iter 126820: Loss = 0.017146920785307884, lr = [0.0001] +[2024-06-09 03:25:12,927] - INFO: Epoch 2537/9999, Iter 126840: Loss = 0.014920908026397228, lr = [0.0001] +[2024-06-09 03:25:52,731] - INFO: Epoch 2538/9999, Iter 126860: Loss = 0.01227477751672268, lr = [0.0001] +[2024-06-09 03:26:33,936] - INFO: Epoch 2538/9999, Iter 126880: Loss = 0.016327666118741035, lr = [0.0001] +[2024-06-09 03:27:12,718] - INFO: Epoch 2539/9999, Iter 126900: Loss = 0.008781669661402702, lr = [0.0001] +[2024-06-09 03:27:54,050] - INFO: Epoch 2539/9999, Iter 126920: Loss = 0.011607561260461807, lr = [0.0001] +[2024-06-09 03:28:34,900] - INFO: Epoch 2539/9999, Iter 126940: Loss = 0.021291764453053474, lr = [0.0001] +[2024-06-09 03:29:14,908] - INFO: Epoch 2540/9999, Iter 126960: Loss = 0.012120393104851246, lr = [0.0001] +[2024-06-09 03:29:54,834] - INFO: Epoch 2540/9999, Iter 126980: Loss = 0.013685105368494987, lr = [0.0001] +[2024-06-09 03:30:31,446] - INFO: Evaluate at epoch 2540! +[2024-06-09 03:30:35,813] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 03:30:35,814] - INFO: Eval (with pad) PSNR (current): 38.155 (2540) SSIM (current): 0.9614 (2540) +[2024-06-09 03:30:35,814] - INFO: Evaluation over. +[2024-06-09 03:30:41,007] - INFO: Epoch 2541/9999, Iter 127000: Loss = 0.011739229783415794, lr = [0.0001] +[2024-06-09 03:31:21,144] - INFO: Epoch 2541/9999, Iter 127020: Loss = 0.010865158401429653, lr = [0.0001] +[2024-06-09 03:32:00,848] - INFO: Epoch 2541/9999, Iter 127040: Loss = 0.009107138030230999, lr = [0.0001] +[2024-06-09 03:32:40,525] - INFO: Epoch 2542/9999, Iter 127060: Loss = 0.013564182445406914, lr = [0.0001] +[2024-06-09 03:33:21,096] - INFO: Epoch 2542/9999, Iter 127080: Loss = 0.012312853708863258, lr = [0.0001] +[2024-06-09 03:34:01,342] - INFO: Epoch 2543/9999, Iter 127100: Loss = 0.011137631721794605, lr = [0.0001] +[2024-06-09 03:34:42,517] - INFO: Epoch 2543/9999, Iter 127120: Loss = 0.01349562220275402, lr = [0.0001] +[2024-06-09 03:35:21,464] - INFO: Epoch 2543/9999, Iter 127140: Loss = 0.01620180532336235, lr = [0.0001] +[2024-06-09 03:36:02,159] - INFO: Epoch 2544/9999, Iter 127160: Loss = 0.0096804890781641, lr = [0.0001] +[2024-06-09 03:36:41,534] - INFO: Epoch 2544/9999, Iter 127180: Loss = 0.011215071193873882, lr = [0.0001] +[2024-06-09 03:37:20,072] - INFO: Epoch 2545/9999, Iter 127200: Loss = 0.01827842742204666, lr = [0.0001] +[2024-06-09 03:38:01,515] - INFO: Epoch 2545/9999, Iter 127220: Loss = 0.009426972828805447, lr = [0.0001] +[2024-06-09 03:38:41,365] - INFO: Epoch 2545/9999, Iter 127240: Loss = 0.012907295487821102, lr = [0.0001] +[2024-06-09 03:38:57,636] - INFO: Evaluate at epoch 2545! +[2024-06-09 03:39:01,759] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 03:39:01,759] - INFO: Eval (with pad) PSNR (current): 38.154 (2545) SSIM (current): 0.9614 (2545) +[2024-06-09 03:39:01,759] - INFO: Evaluation over. +[2024-06-09 03:39:27,893] - INFO: Epoch 2546/9999, Iter 127260: Loss = 0.014226557686924934, lr = [0.0001] +[2024-06-09 03:40:08,179] - INFO: Epoch 2546/9999, Iter 127280: Loss = 0.010179700329899788, lr = [0.0001] +[2024-06-09 03:40:47,502] - INFO: Epoch 2547/9999, Iter 127300: Loss = 0.0185554102063179, lr = [0.0001] +[2024-06-09 03:41:30,113] - INFO: Epoch 2547/9999, Iter 127320: Loss = 0.013633511029183865, lr = [0.0001] +[2024-06-09 03:42:09,888] - INFO: Epoch 2547/9999, Iter 127340: Loss = 0.013766699470579624, lr = [0.0001] +[2024-06-09 03:42:51,086] - INFO: Epoch 2548/9999, Iter 127360: Loss = 0.009328269399702549, lr = [0.0001] +[2024-06-09 03:43:30,746] - INFO: Epoch 2548/9999, Iter 127380: Loss = 0.01720520295202732, lr = [0.0001] +[2024-06-09 03:44:11,886] - INFO: Epoch 2549/9999, Iter 127400: Loss = 0.013194230385124683, lr = [0.0001] +[2024-06-09 03:44:53,027] - INFO: Epoch 2549/9999, Iter 127420: Loss = 0.015018588863313198, lr = [0.0001] +[2024-06-09 03:45:33,000] - INFO: Epoch 2549/9999, Iter 127440: Loss = 0.01530796941369772, lr = [0.0001] +[2024-06-09 03:46:13,045] - INFO: Epoch 2550/9999, Iter 127460: Loss = 0.01411014050245285, lr = [0.0001] +[2024-06-09 03:46:54,741] - INFO: Epoch 2550/9999, Iter 127480: Loss = 0.01970612071454525, lr = [0.0001] +[2024-06-09 03:47:31,333] - INFO: Evaluate at epoch 2550! +[2024-06-09 03:47:35,649] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 03:47:35,649] - INFO: Eval (with pad) PSNR (current): 38.137 (2550) SSIM (current): 0.9614 (2550) +[2024-06-09 03:47:35,649] - INFO: Evaluation over. +[2024-06-09 03:47:40,951] - INFO: Epoch 2551/9999, Iter 127500: Loss = 0.007945842109620571, lr = [0.0001] +[2024-06-09 03:48:22,202] - INFO: Epoch 2551/9999, Iter 127520: Loss = 0.012809383682906628, lr = [0.0001] +[2024-06-09 03:49:01,946] - INFO: Epoch 2551/9999, Iter 127540: Loss = 0.012565421871840954, lr = [0.0001] +[2024-06-09 03:49:41,825] - INFO: Epoch 2552/9999, Iter 127560: Loss = 0.014102315530180931, lr = [0.0001] +[2024-06-09 03:50:22,195] - INFO: Epoch 2552/9999, Iter 127580: Loss = 0.014601637609302998, lr = [0.0001] +[2024-06-09 03:51:00,836] - INFO: Epoch 2553/9999, Iter 127600: Loss = 0.010725396685302258, lr = [0.0001] +[2024-06-09 03:51:41,745] - INFO: Epoch 2553/9999, Iter 127620: Loss = 0.00674569234251976, lr = [0.0001] +[2024-06-09 03:52:20,974] - INFO: Epoch 2553/9999, Iter 127640: Loss = 0.01506182923913002, lr = [0.0001] +[2024-06-09 03:53:02,280] - INFO: Epoch 2554/9999, Iter 127660: Loss = 0.008776511996984482, lr = [0.0001] +[2024-06-09 03:53:43,319] - INFO: Epoch 2554/9999, Iter 127680: Loss = 0.014291823841631413, lr = [0.0001] +[2024-06-09 03:54:22,162] - INFO: Epoch 2555/9999, Iter 127700: Loss = 0.007429191842675209, lr = [0.0001] +[2024-06-09 03:55:04,675] - INFO: Epoch 2555/9999, Iter 127720: Loss = 0.013808004558086395, lr = [0.0001] +[2024-06-09 03:55:44,700] - INFO: Epoch 2555/9999, Iter 127740: Loss = 0.010904323309659958, lr = [0.0001] +[2024-06-09 03:56:00,126] - INFO: Evaluate at epoch 2555! +[2024-06-09 03:56:04,589] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 03:56:04,590] - INFO: Eval (with pad) PSNR (current): 38.153 (2555) SSIM (current): 0.9614 (2555) +[2024-06-09 03:56:04,590] - INFO: Evaluation over. +[2024-06-09 03:56:32,157] - INFO: Epoch 2556/9999, Iter 127760: Loss = 0.010678104124963284, lr = [0.0001] +[2024-06-09 03:57:13,163] - INFO: Epoch 2556/9999, Iter 127780: Loss = 0.010899386368691921, lr = [0.0001] +[2024-06-09 03:57:52,262] - INFO: Epoch 2557/9999, Iter 127800: Loss = 0.013822306878864765, lr = [0.0001] +[2024-06-09 03:58:33,051] - INFO: Epoch 2557/9999, Iter 127820: Loss = 0.013865512795746326, lr = [0.0001] +[2024-06-09 03:59:13,894] - INFO: Epoch 2557/9999, Iter 127840: Loss = 0.008544567972421646, lr = [0.0001] +[2024-06-09 03:59:55,022] - INFO: Epoch 2558/9999, Iter 127860: Loss = 0.014872799627482891, lr = [0.0001] +[2024-06-09 04:00:35,500] - INFO: Epoch 2558/9999, Iter 127880: Loss = 0.011323313228785992, lr = [0.0001] +[2024-06-09 04:01:14,793] - INFO: Epoch 2559/9999, Iter 127900: Loss = 0.023871392011642456, lr = [0.0001] +[2024-06-09 04:01:57,270] - INFO: Epoch 2559/9999, Iter 127920: Loss = 0.016175035387277603, lr = [0.0001] +[2024-06-09 04:02:37,675] - INFO: Epoch 2559/9999, Iter 127940: Loss = 0.013292907737195492, lr = [0.0001] +[2024-06-09 04:03:18,629] - INFO: Epoch 2560/9999, Iter 127960: Loss = 0.006677671801298857, lr = [0.0001] +[2024-06-09 04:03:59,879] - INFO: Epoch 2560/9999, Iter 127980: Loss = 0.022522039711475372, lr = [0.0001] +[2024-06-09 04:04:35,758] - INFO: Evaluate at epoch 2560! +[2024-06-09 04:04:40,183] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 04:04:40,183] - INFO: Eval (with pad) PSNR (current): 38.147 (2560) SSIM (current): 0.9614 (2560) +[2024-06-09 04:04:40,184] - INFO: Evaluation over. +[2024-06-09 04:04:45,744] - INFO: Epoch 2561/9999, Iter 128000: Loss = 0.010210597887635231, lr = [0.0001] +[2024-06-09 04:05:27,717] - INFO: Epoch 2561/9999, Iter 128020: Loss = 0.014610767364501953, lr = [0.0001] +[2024-06-09 04:06:07,946] - INFO: Epoch 2561/9999, Iter 128040: Loss = 0.014116314239799976, lr = [0.0001] +[2024-06-09 04:06:49,037] - INFO: Epoch 2562/9999, Iter 128060: Loss = 0.01490472536534071, lr = [0.0001] +[2024-06-09 04:07:30,327] - INFO: Epoch 2562/9999, Iter 128080: Loss = 0.019690949469804764, lr = [0.0001] +[2024-06-09 04:08:09,843] - INFO: Epoch 2563/9999, Iter 128100: Loss = 0.013378525152802467, lr = [0.0001] +[2024-06-09 04:08:49,701] - INFO: Epoch 2563/9999, Iter 128120: Loss = 0.010151244699954987, lr = [0.0001] +[2024-06-09 04:09:29,103] - INFO: Epoch 2563/9999, Iter 128140: Loss = 0.017567381262779236, lr = [0.0001] +[2024-06-09 04:10:10,301] - INFO: Epoch 2564/9999, Iter 128160: Loss = 0.010173965245485306, lr = [0.0001] +[2024-06-09 04:10:49,373] - INFO: Epoch 2564/9999, Iter 128180: Loss = 0.011446981690824032, lr = [0.0001] +[2024-06-09 04:11:29,619] - INFO: Epoch 2565/9999, Iter 128200: Loss = 0.013035298325121403, lr = [0.0001] +[2024-06-09 04:12:10,686] - INFO: Epoch 2565/9999, Iter 128220: Loss = 0.016651151701807976, lr = [0.0001] +[2024-06-09 04:12:50,970] - INFO: Epoch 2565/9999, Iter 128240: Loss = 0.015724726021289825, lr = [0.0001] +[2024-06-09 04:13:06,491] - INFO: Evaluate at epoch 2565! +[2024-06-09 04:13:10,835] - INFO: Eval (with pad) PSNR (max): 38.177 (2515) SSIM (max): 0.9614 (2475) +[2024-06-09 04:13:10,835] - INFO: Eval (with pad) PSNR (current): 38.150 (2565) SSIM (current): 0.9613 (2565) +[2024-06-09 04:13:10,836] - INFO: Evaluation over. +[2024-06-09 04:13:36,901] - INFO: Epoch 2566/9999, Iter 128260: Loss = 0.00773431733250618, lr = [0.0001] +[2024-06-09 04:14:16,751] - INFO: Epoch 2566/9999, Iter 128280: Loss = 0.014192230068147182, lr = [0.0001] +[2024-06-09 04:14:57,221] - INFO: Epoch 2567/9999, Iter 128300: Loss = 0.012755729258060455, lr = [0.0001] +[2024-06-09 04:15:38,348] - INFO: Epoch 2567/9999, Iter 128320: Loss = 0.010662979446351528, lr = [0.0001] +[2024-06-09 04:16:18,789] - INFO: Epoch 2567/9999, Iter 128340: Loss = 0.01194812636822462, lr = [0.0001] +[2024-06-09 04:16:58,329] - INFO: Epoch 2568/9999, Iter 128360: Loss = 0.012837372720241547, lr = [0.0001] +[2024-06-09 04:17:39,691] - INFO: Epoch 2568/9999, Iter 128380: Loss = 0.010695413686335087, lr = [0.0001] +[2024-06-09 04:18:20,151] - INFO: Epoch 2569/9999, Iter 128400: Loss = 0.008796324022114277, lr = [0.0001] +[2024-06-09 04:19:00,791] - INFO: Epoch 2569/9999, Iter 128420: Loss = 0.016418710350990295, lr = [0.0001] +[2024-06-09 04:19:39,895] - INFO: Epoch 2569/9999, Iter 128440: Loss = 0.011821942403912544, lr = [0.0001] +[2024-06-09 04:20:20,485] - INFO: Epoch 2570/9999, Iter 128460: Loss = 0.01997324265539646, lr = [0.0001] +[2024-06-09 04:21:00,977] - INFO: Epoch 2570/9999, Iter 128480: Loss = 0.008704308420419693, lr = [0.0001] +[2024-06-09 04:21:36,990] - INFO: Evaluate at epoch 2570! +[2024-06-09 04:21:42,386] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 04:21:42,387] - INFO: Eval (with pad) PSNR (current): 38.177 (2570) SSIM (current): 0.9614 (2570) +[2024-06-09 04:21:42,387] - INFO: Evaluation over. +[2024-06-09 04:21:47,194] - INFO: Epoch 2571/9999, Iter 128500: Loss = 0.012318193912506104, lr = [0.0001] +[2024-06-09 04:22:28,978] - INFO: Epoch 2571/9999, Iter 128520: Loss = 0.01600547693669796, lr = [0.0001] +[2024-06-09 04:23:07,900] - INFO: Epoch 2571/9999, Iter 128540: Loss = 0.01128060556948185, lr = [0.0001] +[2024-06-09 04:23:48,166] - INFO: Epoch 2572/9999, Iter 128560: Loss = 0.016845189034938812, lr = [0.0001] +[2024-06-09 04:24:29,427] - INFO: Epoch 2572/9999, Iter 128580: Loss = 0.009066633880138397, lr = [0.0001] +[2024-06-09 04:25:09,740] - INFO: Epoch 2573/9999, Iter 128600: Loss = 0.017890721559524536, lr = [0.0001] +[2024-06-09 04:25:50,714] - INFO: Epoch 2573/9999, Iter 128620: Loss = 0.016983065754175186, lr = [0.0001] +[2024-06-09 04:26:30,540] - INFO: Epoch 2573/9999, Iter 128640: Loss = 0.01262369193136692, lr = [0.0001] +[2024-06-09 04:27:12,158] - INFO: Epoch 2574/9999, Iter 128660: Loss = 0.00973865482956171, lr = [0.0001] +[2024-06-09 04:27:53,138] - INFO: Epoch 2574/9999, Iter 128680: Loss = 0.011672180145978928, lr = [0.0001] +[2024-06-09 04:28:32,719] - INFO: Epoch 2575/9999, Iter 128700: Loss = 0.009762311354279518, lr = [0.0001] +[2024-06-09 04:29:14,145] - INFO: Epoch 2575/9999, Iter 128720: Loss = 0.009200031869113445, lr = [0.0001] +[2024-06-09 04:29:54,185] - INFO: Epoch 2575/9999, Iter 128740: Loss = 0.0115498723462224, lr = [0.0001] +[2024-06-09 04:30:10,550] - INFO: Evaluate at epoch 2575! +[2024-06-09 04:30:14,915] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 04:30:14,915] - INFO: Eval (with pad) PSNR (current): 38.116 (2575) SSIM (current): 0.9613 (2575) +[2024-06-09 04:30:14,915] - INFO: Evaluation over. +[2024-06-09 04:30:41,685] - INFO: Epoch 2576/9999, Iter 128760: Loss = 0.013610429130494595, lr = [0.0001] +[2024-06-09 04:31:22,918] - INFO: Epoch 2576/9999, Iter 128780: Loss = 0.010570282116532326, lr = [0.0001] +[2024-06-09 04:32:02,973] - INFO: Epoch 2577/9999, Iter 128800: Loss = 0.008349631913006306, lr = [0.0001] +[2024-06-09 04:32:44,404] - INFO: Epoch 2577/9999, Iter 128820: Loss = 0.01892956905066967, lr = [0.0001] +[2024-06-09 04:33:24,461] - INFO: Epoch 2577/9999, Iter 128840: Loss = 0.013347477652132511, lr = [0.0001] +[2024-06-09 04:34:05,220] - INFO: Epoch 2578/9999, Iter 128860: Loss = 0.012861371971666813, lr = [0.0001] +[2024-06-09 04:34:45,715] - INFO: Epoch 2578/9999, Iter 128880: Loss = 0.01759251393377781, lr = [0.0001] +[2024-06-09 04:35:26,261] - INFO: Epoch 2579/9999, Iter 128900: Loss = 0.012268675491213799, lr = [0.0001] +[2024-06-09 04:36:08,317] - INFO: Epoch 2579/9999, Iter 128920: Loss = 0.014968126080930233, lr = [0.0001] +[2024-06-09 04:36:46,445] - INFO: Epoch 2579/9999, Iter 128940: Loss = 0.014214794151484966, lr = [0.0001] +[2024-06-09 04:37:28,843] - INFO: Epoch 2580/9999, Iter 128960: Loss = 0.009188125841319561, lr = [0.0001] +[2024-06-09 04:38:10,372] - INFO: Epoch 2580/9999, Iter 128980: Loss = 0.015177124179899693, lr = [0.0001] +[2024-06-09 04:38:45,434] - INFO: Evaluate at epoch 2580! +[2024-06-09 04:38:49,800] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 04:38:49,800] - INFO: Eval (with pad) PSNR (current): 38.160 (2580) SSIM (current): 0.9613 (2580) +[2024-06-09 04:38:49,800] - INFO: Evaluation over. +[2024-06-09 04:38:56,027] - INFO: Epoch 2581/9999, Iter 129000: Loss = 0.01691691391170025, lr = [0.0001] +[2024-06-09 04:39:36,407] - INFO: Epoch 2581/9999, Iter 129020: Loss = 0.01608768291771412, lr = [0.0001] +[2024-06-09 04:40:17,032] - INFO: Epoch 2581/9999, Iter 129040: Loss = 0.01380088645964861, lr = [0.0001] +[2024-06-09 04:40:57,293] - INFO: Epoch 2582/9999, Iter 129060: Loss = 0.011210703290998936, lr = [0.0001] +[2024-06-09 04:41:37,861] - INFO: Epoch 2582/9999, Iter 129080: Loss = 0.013176420703530312, lr = [0.0001] +[2024-06-09 04:42:16,956] - INFO: Epoch 2583/9999, Iter 129100: Loss = 0.0126613425090909, lr = [0.0001] +[2024-06-09 04:42:57,487] - INFO: Epoch 2583/9999, Iter 129120: Loss = 0.013258975930511951, lr = [0.0001] +[2024-06-09 04:43:37,409] - INFO: Epoch 2583/9999, Iter 129140: Loss = 0.014151303097605705, lr = [0.0001] +[2024-06-09 04:44:18,208] - INFO: Epoch 2584/9999, Iter 129160: Loss = 0.015496098436415195, lr = [0.0001] +[2024-06-09 04:44:58,661] - INFO: Epoch 2584/9999, Iter 129180: Loss = 0.014460260048508644, lr = [0.0001] +[2024-06-09 04:45:38,370] - INFO: Epoch 2585/9999, Iter 129200: Loss = 0.016951460391283035, lr = [0.0001] +[2024-06-09 04:46:18,436] - INFO: Epoch 2585/9999, Iter 129220: Loss = 0.012770883738994598, lr = [0.0001] +[2024-06-09 04:46:58,776] - INFO: Epoch 2585/9999, Iter 129240: Loss = 0.01084110327064991, lr = [0.0001] +[2024-06-09 04:47:14,466] - INFO: Evaluate at epoch 2585! +[2024-06-09 04:47:18,794] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 04:47:18,794] - INFO: Eval (with pad) PSNR (current): 38.164 (2585) SSIM (current): 0.9614 (2585) +[2024-06-09 04:47:18,794] - INFO: Evaluation over. +[2024-06-09 04:47:44,860] - INFO: Epoch 2586/9999, Iter 129260: Loss = 0.012368990108370781, lr = [0.0001] +[2024-06-09 04:48:24,693] - INFO: Epoch 2586/9999, Iter 129280: Loss = 0.012343445792794228, lr = [0.0001] +[2024-06-09 04:49:04,988] - INFO: Epoch 2587/9999, Iter 129300: Loss = 0.017284484580159187, lr = [0.0001] +[2024-06-09 04:49:45,749] - INFO: Epoch 2587/9999, Iter 129320: Loss = 0.01218106597661972, lr = [0.0001] +[2024-06-09 04:50:25,976] - INFO: Epoch 2587/9999, Iter 129340: Loss = 0.008790609426796436, lr = [0.0001] +[2024-06-09 04:51:06,621] - INFO: Epoch 2588/9999, Iter 129360: Loss = 0.017610471695661545, lr = [0.0001] +[2024-06-09 04:51:46,342] - INFO: Epoch 2588/9999, Iter 129380: Loss = 0.013298838399350643, lr = [0.0001] +[2024-06-09 04:52:25,933] - INFO: Epoch 2589/9999, Iter 129400: Loss = 0.009907285682857037, lr = [0.0001] +[2024-06-09 04:53:07,536] - INFO: Epoch 2589/9999, Iter 129420: Loss = 0.012686639092862606, lr = [0.0001] +[2024-06-09 04:53:47,723] - INFO: Epoch 2589/9999, Iter 129440: Loss = 0.01006174273788929, lr = [0.0001] +[2024-06-09 04:54:28,284] - INFO: Epoch 2590/9999, Iter 129460: Loss = 0.016788441687822342, lr = [0.0001] +[2024-06-09 04:55:07,269] - INFO: Epoch 2590/9999, Iter 129480: Loss = 0.017774030566215515, lr = [0.0001] +[2024-06-09 04:55:44,006] - INFO: Evaluate at epoch 2590! +[2024-06-09 04:55:48,621] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 04:55:48,622] - INFO: Eval (with pad) PSNR (current): 38.149 (2590) SSIM (current): 0.9614 (2590) +[2024-06-09 04:55:48,622] - INFO: Evaluation over. +[2024-06-09 04:55:54,060] - INFO: Epoch 2591/9999, Iter 129500: Loss = 0.015561370179057121, lr = [0.0001] +[2024-06-09 04:56:36,503] - INFO: Epoch 2591/9999, Iter 129520: Loss = 0.015681171789765358, lr = [0.0001] +[2024-06-09 04:57:17,588] - INFO: Epoch 2591/9999, Iter 129540: Loss = 0.009349518455564976, lr = [0.0001] +[2024-06-09 04:57:59,072] - INFO: Epoch 2592/9999, Iter 129560: Loss = 0.012098265811800957, lr = [0.0001] +[2024-06-09 04:58:38,555] - INFO: Epoch 2592/9999, Iter 129580: Loss = 0.015995129942893982, lr = [0.0001] +[2024-06-09 04:59:19,325] - INFO: Epoch 2593/9999, Iter 129600: Loss = 0.011392034590244293, lr = [0.0001] +[2024-06-09 04:59:59,550] - INFO: Epoch 2593/9999, Iter 129620: Loss = 0.01361788623034954, lr = [0.0001] +[2024-06-09 05:00:38,668] - INFO: Epoch 2593/9999, Iter 129640: Loss = 0.01332541648298502, lr = [0.0001] +[2024-06-09 05:01:19,683] - INFO: Epoch 2594/9999, Iter 129660: Loss = 0.013641423545777798, lr = [0.0001] +[2024-06-09 05:01:59,069] - INFO: Epoch 2594/9999, Iter 129680: Loss = 0.012810874730348587, lr = [0.0001] +[2024-06-09 05:02:38,774] - INFO: Epoch 2595/9999, Iter 129700: Loss = 0.011123966425657272, lr = [0.0001] +[2024-06-09 05:03:18,900] - INFO: Epoch 2595/9999, Iter 129720: Loss = 0.018885521218180656, lr = [0.0001] +[2024-06-09 05:03:58,612] - INFO: Epoch 2595/9999, Iter 129740: Loss = 0.014381260611116886, lr = [0.0001] +[2024-06-09 05:04:14,718] - INFO: Evaluate at epoch 2595! +[2024-06-09 05:04:19,087] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 05:04:19,087] - INFO: Eval (with pad) PSNR (current): 38.129 (2595) SSIM (current): 0.9614 (2595) +[2024-06-09 05:04:19,087] - INFO: Evaluation over. +[2024-06-09 05:04:45,991] - INFO: Epoch 2596/9999, Iter 129760: Loss = 0.01094894576817751, lr = [0.0001] +[2024-06-09 05:05:25,533] - INFO: Epoch 2596/9999, Iter 129780: Loss = 0.013825096189975739, lr = [0.0001] +[2024-06-09 05:06:05,849] - INFO: Epoch 2597/9999, Iter 129800: Loss = 0.018770741298794746, lr = [0.0001] +[2024-06-09 05:06:47,094] - INFO: Epoch 2597/9999, Iter 129820: Loss = 0.01410482544451952, lr = [0.0001] +[2024-06-09 05:07:26,334] - INFO: Epoch 2597/9999, Iter 129840: Loss = 0.013714459724724293, lr = [0.0001] +[2024-06-09 05:08:06,787] - INFO: Epoch 2598/9999, Iter 129860: Loss = 0.015228384174406528, lr = [0.0001] +[2024-06-09 05:08:45,452] - INFO: Epoch 2598/9999, Iter 129880: Loss = 0.012671532109379768, lr = [0.0001] +[2024-06-09 05:09:25,238] - INFO: Epoch 2599/9999, Iter 129900: Loss = 0.01448154915124178, lr = [0.0001] +[2024-06-09 05:10:06,977] - INFO: Epoch 2599/9999, Iter 129920: Loss = 0.010493081994354725, lr = [0.0001] +[2024-06-09 05:10:46,967] - INFO: Epoch 2599/9999, Iter 129940: Loss = 0.012476766481995583, lr = [0.0001] +[2024-06-09 05:11:28,698] - INFO: Epoch 2600/9999, Iter 129960: Loss = 0.014932681806385517, lr = [0.0001] +[2024-06-09 05:12:09,494] - INFO: Epoch 2600/9999, Iter 129980: Loss = 0.015501162968575954, lr = [0.0001] +[2024-06-09 05:12:44,936] - INFO: Evaluate at epoch 2600! +[2024-06-09 05:12:49,564] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 05:12:49,565] - INFO: Eval (with pad) PSNR (current): 38.129 (2600) SSIM (current): 0.9613 (2600) +[2024-06-09 05:12:49,565] - INFO: Evaluation over. +[2024-06-09 05:12:55,074] - INFO: Epoch 2601/9999, Iter 130000: Loss = 0.014725636690855026, lr = [0.0001] +[2024-06-09 05:13:36,946] - INFO: Epoch 2601/9999, Iter 130020: Loss = 0.01198735274374485, lr = [0.0001] +[2024-06-09 05:14:16,045] - INFO: Epoch 2601/9999, Iter 130040: Loss = 0.014190293848514557, lr = [0.0001] +[2024-06-09 05:14:56,702] - INFO: Epoch 2602/9999, Iter 130060: Loss = 0.014499319717288017, lr = [0.0001] +[2024-06-09 05:15:37,940] - INFO: Epoch 2602/9999, Iter 130080: Loss = 0.013087953440845013, lr = [0.0001] +[2024-06-09 05:16:18,032] - INFO: Epoch 2603/9999, Iter 130100: Loss = 0.014903630129992962, lr = [0.0001] +[2024-06-09 05:16:58,543] - INFO: Epoch 2603/9999, Iter 130120: Loss = 0.01502145454287529, lr = [0.0001] +[2024-06-09 05:17:37,909] - INFO: Epoch 2603/9999, Iter 130140: Loss = 0.012665321119129658, lr = [0.0001] +[2024-06-09 05:18:18,971] - INFO: Epoch 2604/9999, Iter 130160: Loss = 0.008410465903580189, lr = [0.0001] +[2024-06-09 05:18:59,419] - INFO: Epoch 2604/9999, Iter 130180: Loss = 0.010332112200558186, lr = [0.0001] +[2024-06-09 05:19:37,816] - INFO: Epoch 2605/9999, Iter 130200: Loss = 0.008873841725289822, lr = [0.0001] +[2024-06-09 05:20:18,761] - INFO: Epoch 2605/9999, Iter 130220: Loss = 0.006936994846910238, lr = [0.0001] +[2024-06-09 05:20:57,910] - INFO: Epoch 2605/9999, Iter 130240: Loss = 0.007612350396811962, lr = [0.0001] +[2024-06-09 05:21:14,116] - INFO: Evaluate at epoch 2605! +[2024-06-09 05:21:18,632] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 05:21:18,632] - INFO: Eval (with pad) PSNR (current): 38.155 (2605) SSIM (current): 0.9614 (2605) +[2024-06-09 05:21:18,633] - INFO: Evaluation over. +[2024-06-09 05:21:45,527] - INFO: Epoch 2606/9999, Iter 130260: Loss = 0.01371856965124607, lr = [0.0001] +[2024-06-09 05:22:25,897] - INFO: Epoch 2606/9999, Iter 130280: Loss = 0.016318349167704582, lr = [0.0001] +[2024-06-09 05:23:05,238] - INFO: Epoch 2607/9999, Iter 130300: Loss = 0.008517476730048656, lr = [0.0001] +[2024-06-09 05:23:46,748] - INFO: Epoch 2607/9999, Iter 130320: Loss = 0.016179431229829788, lr = [0.0001] +[2024-06-09 05:24:27,884] - INFO: Epoch 2607/9999, Iter 130340: Loss = 0.014735263772308826, lr = [0.0001] +[2024-06-09 05:25:07,728] - INFO: Epoch 2608/9999, Iter 130360: Loss = 0.016765356063842773, lr = [0.0001] +[2024-06-09 05:25:48,939] - INFO: Epoch 2608/9999, Iter 130380: Loss = 0.00950547493994236, lr = [0.0001] +[2024-06-09 05:26:28,827] - INFO: Epoch 2609/9999, Iter 130400: Loss = 0.014908508397638798, lr = [0.0001] +[2024-06-09 05:27:08,944] - INFO: Epoch 2609/9999, Iter 130420: Loss = 0.014370892196893692, lr = [0.0001] +[2024-06-09 05:27:49,787] - INFO: Epoch 2609/9999, Iter 130440: Loss = 0.010701525025069714, lr = [0.0001] +[2024-06-09 05:28:31,151] - INFO: Epoch 2610/9999, Iter 130460: Loss = 0.00787276215851307, lr = [0.0001] +[2024-06-09 05:29:09,951] - INFO: Epoch 2610/9999, Iter 130480: Loss = 0.008307854644954205, lr = [0.0001] +[2024-06-09 05:29:44,621] - INFO: Evaluate at epoch 2610! +[2024-06-09 05:29:48,889] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 05:29:48,889] - INFO: Eval (with pad) PSNR (current): 38.112 (2610) SSIM (current): 0.9614 (2610) +[2024-06-09 05:29:48,889] - INFO: Evaluation over. +[2024-06-09 05:29:54,409] - INFO: Epoch 2611/9999, Iter 130500: Loss = 0.017981845885515213, lr = [0.0001] +[2024-06-09 05:30:35,420] - INFO: Epoch 2611/9999, Iter 130520: Loss = 0.017679348587989807, lr = [0.0001] +[2024-06-09 05:31:13,683] - INFO: Epoch 2611/9999, Iter 130540: Loss = 0.012094700708985329, lr = [0.0001] +[2024-06-09 05:31:53,596] - INFO: Epoch 2612/9999, Iter 130560: Loss = 0.011124900542199612, lr = [0.0001] +[2024-06-09 05:32:35,574] - INFO: Epoch 2612/9999, Iter 130580: Loss = 0.014009956270456314, lr = [0.0001] +[2024-06-09 05:33:14,567] - INFO: Epoch 2613/9999, Iter 130600: Loss = 0.009004791267216206, lr = [0.0001] +[2024-06-09 05:33:55,761] - INFO: Epoch 2613/9999, Iter 130620: Loss = 0.012224430218338966, lr = [0.0001] +[2024-06-09 05:34:35,392] - INFO: Epoch 2613/9999, Iter 130640: Loss = 0.012838280759751797, lr = [0.0001] +[2024-06-09 05:35:14,933] - INFO: Epoch 2614/9999, Iter 130660: Loss = 0.013092748820781708, lr = [0.0001] +[2024-06-09 05:35:53,121] - INFO: Epoch 2614/9999, Iter 130680: Loss = 0.018956169486045837, lr = [0.0001] +[2024-06-09 05:36:33,542] - INFO: Epoch 2615/9999, Iter 130700: Loss = 0.013833434320986271, lr = [0.0001] +[2024-06-09 05:37:15,586] - INFO: Epoch 2615/9999, Iter 130720: Loss = 0.019363796338438988, lr = [0.0001] +[2024-06-09 05:37:57,237] - INFO: Epoch 2615/9999, Iter 130740: Loss = 0.009271057322621346, lr = [0.0001] +[2024-06-09 05:38:13,040] - INFO: Evaluate at epoch 2615! +[2024-06-09 05:38:17,418] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9614 (2475) +[2024-06-09 05:38:17,418] - INFO: Eval (with pad) PSNR (current): 38.129 (2615) SSIM (current): 0.9613 (2615) +[2024-06-09 05:38:17,418] - INFO: Evaluation over. +[2024-06-09 05:38:44,466] - INFO: Epoch 2616/9999, Iter 130760: Loss = 0.011320884339511395, lr = [0.0001] +[2024-06-09 05:39:25,250] - INFO: Epoch 2616/9999, Iter 130780: Loss = 0.012792741879820824, lr = [0.0001] +[2024-06-09 05:40:04,942] - INFO: Epoch 2617/9999, Iter 130800: Loss = 0.015299570746719837, lr = [0.0001] +[2024-06-09 05:40:46,777] - INFO: Epoch 2617/9999, Iter 130820: Loss = 0.012414185330271721, lr = [0.0001] +[2024-06-09 05:41:25,619] - INFO: Epoch 2617/9999, Iter 130840: Loss = 0.00925612635910511, lr = [0.0001] +[2024-06-09 05:42:06,072] - INFO: Epoch 2618/9999, Iter 130860: Loss = 0.011020738631486893, lr = [0.0001] +[2024-06-09 05:42:45,975] - INFO: Epoch 2618/9999, Iter 130880: Loss = 0.011078322306275368, lr = [0.0001] +[2024-06-09 05:43:25,898] - INFO: Epoch 2619/9999, Iter 130900: Loss = 0.01690724305808544, lr = [0.0001] +[2024-06-09 05:44:07,549] - INFO: Epoch 2619/9999, Iter 130920: Loss = 0.013297426514327526, lr = [0.0001] +[2024-06-09 05:44:47,665] - INFO: Epoch 2619/9999, Iter 130940: Loss = 0.012701787054538727, lr = [0.0001] +[2024-06-09 05:45:28,118] - INFO: Epoch 2620/9999, Iter 130960: Loss = 0.01260450016707182, lr = [0.0001] +[2024-06-09 05:46:08,643] - INFO: Epoch 2620/9999, Iter 130980: Loss = 0.013021974824368954, lr = [0.0001] +[2024-06-09 05:46:44,138] - INFO: Evaluate at epoch 2620! +[2024-06-09 05:46:50,303] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 05:46:50,304] - INFO: Eval (with pad) PSNR (current): 38.160 (2620) SSIM (current): 0.9615 (2620) +[2024-06-09 05:46:50,304] - INFO: Evaluation over. +[2024-06-09 05:46:55,850] - INFO: Epoch 2621/9999, Iter 131000: Loss = 0.013391596265137196, lr = [0.0001] +[2024-06-09 05:47:36,885] - INFO: Epoch 2621/9999, Iter 131020: Loss = 0.014166408218443394, lr = [0.0001] +[2024-06-09 05:48:16,660] - INFO: Epoch 2621/9999, Iter 131040: Loss = 0.01222926378250122, lr = [0.0001] +[2024-06-09 05:48:58,175] - INFO: Epoch 2622/9999, Iter 131060: Loss = 0.012682418338954449, lr = [0.0001] +[2024-06-09 05:49:39,419] - INFO: Epoch 2622/9999, Iter 131080: Loss = 0.014322477392852306, lr = [0.0001] +[2024-06-09 05:50:18,745] - INFO: Epoch 2623/9999, Iter 131100: Loss = 0.011555088683962822, lr = [0.0001] +[2024-06-09 05:51:00,075] - INFO: Epoch 2623/9999, Iter 131120: Loss = 0.017059871926903725, lr = [0.0001] +[2024-06-09 05:51:41,283] - INFO: Epoch 2623/9999, Iter 131140: Loss = 0.011740858666598797, lr = [0.0001] +[2024-06-09 05:52:21,867] - INFO: Epoch 2624/9999, Iter 131160: Loss = 0.01191344577819109, lr = [0.0001] +[2024-06-09 05:53:01,787] - INFO: Epoch 2624/9999, Iter 131180: Loss = 0.011048988439142704, lr = [0.0001] +[2024-06-09 05:53:41,668] - INFO: Epoch 2625/9999, Iter 131200: Loss = 0.012509875930845737, lr = [0.0001] +[2024-06-09 05:54:22,429] - INFO: Epoch 2625/9999, Iter 131220: Loss = 0.009439543820917606, lr = [0.0001] +[2024-06-09 05:55:02,491] - INFO: Epoch 2625/9999, Iter 131240: Loss = 0.011671856977045536, lr = [0.0001] +[2024-06-09 05:55:18,873] - INFO: Evaluate at epoch 2625! +[2024-06-09 05:55:23,397] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 05:55:23,397] - INFO: Eval (with pad) PSNR (current): 38.129 (2625) SSIM (current): 0.9613 (2625) +[2024-06-09 05:55:23,397] - INFO: Evaluation over. +[2024-06-09 05:55:49,599] - INFO: Epoch 2626/9999, Iter 131260: Loss = 0.011932830326259136, lr = [0.0001] +[2024-06-09 05:56:29,359] - INFO: Epoch 2626/9999, Iter 131280: Loss = 0.017060337588191032, lr = [0.0001] +[2024-06-09 05:57:08,718] - INFO: Epoch 2627/9999, Iter 131300: Loss = 0.013056939467787743, lr = [0.0001] +[2024-06-09 05:57:48,980] - INFO: Epoch 2627/9999, Iter 131320: Loss = 0.010727940127253532, lr = [0.0001] +[2024-06-09 05:58:29,005] - INFO: Epoch 2627/9999, Iter 131340: Loss = 0.013071349821984768, lr = [0.0001] +[2024-06-09 05:59:09,545] - INFO: Epoch 2628/9999, Iter 131360: Loss = 0.009057064540684223, lr = [0.0001] +[2024-06-09 05:59:49,509] - INFO: Epoch 2628/9999, Iter 131380: Loss = 0.016472630202770233, lr = [0.0001] +[2024-06-09 06:00:29,555] - INFO: Epoch 2629/9999, Iter 131400: Loss = 0.012591569684445858, lr = [0.0001] +[2024-06-09 06:01:12,188] - INFO: Epoch 2629/9999, Iter 131420: Loss = 0.00979337003082037, lr = [0.0001] +[2024-06-09 06:01:51,205] - INFO: Epoch 2629/9999, Iter 131440: Loss = 0.014903103932738304, lr = [0.0001] +[2024-06-09 06:02:31,740] - INFO: Epoch 2630/9999, Iter 131460: Loss = 0.01648145355284214, lr = [0.0001] +[2024-06-09 06:03:11,907] - INFO: Epoch 2630/9999, Iter 131480: Loss = 0.01191096194088459, lr = [0.0001] +[2024-06-09 06:03:48,240] - INFO: Evaluate at epoch 2630! +[2024-06-09 06:03:52,647] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 06:03:52,647] - INFO: Eval (with pad) PSNR (current): 38.122 (2630) SSIM (current): 0.9613 (2630) +[2024-06-09 06:03:52,647] - INFO: Evaluation over. +[2024-06-09 06:03:58,205] - INFO: Epoch 2631/9999, Iter 131500: Loss = 0.011050279252231121, lr = [0.0001] +[2024-06-09 06:04:40,523] - INFO: Epoch 2631/9999, Iter 131520: Loss = 0.017726872116327286, lr = [0.0001] +[2024-06-09 06:05:20,954] - INFO: Epoch 2631/9999, Iter 131540: Loss = 0.011468449607491493, lr = [0.0001] +[2024-06-09 06:06:01,794] - INFO: Epoch 2632/9999, Iter 131560: Loss = 0.010627669282257557, lr = [0.0001] +[2024-06-09 06:06:42,324] - INFO: Epoch 2632/9999, Iter 131580: Loss = 0.010941781103610992, lr = [0.0001] +[2024-06-09 06:07:21,293] - INFO: Epoch 2633/9999, Iter 131600: Loss = 0.008689871057868004, lr = [0.0001] +[2024-06-09 06:08:02,932] - INFO: Epoch 2633/9999, Iter 131620: Loss = 0.011281543411314487, lr = [0.0001] +[2024-06-09 06:08:41,760] - INFO: Epoch 2633/9999, Iter 131640: Loss = 0.007235074415802956, lr = [0.0001] +[2024-06-09 06:09:23,520] - INFO: Epoch 2634/9999, Iter 131660: Loss = 0.015099232085049152, lr = [0.0001] +[2024-06-09 06:10:02,897] - INFO: Epoch 2634/9999, Iter 131680: Loss = 0.011642337776720524, lr = [0.0001] +[2024-06-09 06:10:43,084] - INFO: Epoch 2635/9999, Iter 131700: Loss = 0.014600103721022606, lr = [0.0001] +[2024-06-09 06:11:24,847] - INFO: Epoch 2635/9999, Iter 131720: Loss = 0.011425402946770191, lr = [0.0001] +[2024-06-09 06:12:03,763] - INFO: Epoch 2635/9999, Iter 131740: Loss = 0.00964614748954773, lr = [0.0001] +[2024-06-09 06:12:19,418] - INFO: Evaluate at epoch 2635! +[2024-06-09 06:12:23,710] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 06:12:23,710] - INFO: Eval (with pad) PSNR (current): 38.119 (2635) SSIM (current): 0.9614 (2635) +[2024-06-09 06:12:23,710] - INFO: Evaluation over. +[2024-06-09 06:12:49,807] - INFO: Epoch 2636/9999, Iter 131760: Loss = 0.015093041583895683, lr = [0.0001] +[2024-06-09 06:13:29,466] - INFO: Epoch 2636/9999, Iter 131780: Loss = 0.011831182055175304, lr = [0.0001] +[2024-06-09 06:14:09,726] - INFO: Epoch 2637/9999, Iter 131800: Loss = 0.014285383746027946, lr = [0.0001] +[2024-06-09 06:14:51,558] - INFO: Epoch 2637/9999, Iter 131820: Loss = 0.013733090832829475, lr = [0.0001] +[2024-06-09 06:15:32,362] - INFO: Epoch 2637/9999, Iter 131840: Loss = 0.014470702968537807, lr = [0.0001] +[2024-06-09 06:16:11,732] - INFO: Epoch 2638/9999, Iter 131860: Loss = 0.010060413740575314, lr = [0.0001] +[2024-06-09 06:16:52,990] - INFO: Epoch 2638/9999, Iter 131880: Loss = 0.012173120863735676, lr = [0.0001] +[2024-06-09 06:17:32,687] - INFO: Epoch 2639/9999, Iter 131900: Loss = 0.011539754457771778, lr = [0.0001] +[2024-06-09 06:18:11,813] - INFO: Epoch 2639/9999, Iter 131920: Loss = 0.013478086329996586, lr = [0.0001] +[2024-06-09 06:18:51,150] - INFO: Epoch 2639/9999, Iter 131940: Loss = 0.02134469337761402, lr = [0.0001] +[2024-06-09 06:19:31,474] - INFO: Epoch 2640/9999, Iter 131960: Loss = 0.012388138100504875, lr = [0.0001] +[2024-06-09 06:20:10,792] - INFO: Epoch 2640/9999, Iter 131980: Loss = 0.012245748192071915, lr = [0.0001] +[2024-06-09 06:20:46,844] - INFO: Evaluate at epoch 2640! +[2024-06-09 06:20:51,046] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 06:20:51,047] - INFO: Eval (with pad) PSNR (current): 38.127 (2640) SSIM (current): 0.9614 (2640) +[2024-06-09 06:20:51,047] - INFO: Evaluation over. +[2024-06-09 06:20:56,333] - INFO: Epoch 2641/9999, Iter 132000: Loss = 0.017026623710989952, lr = [0.0001] +[2024-06-09 06:21:38,262] - INFO: Epoch 2641/9999, Iter 132020: Loss = 0.016420509666204453, lr = [0.0001] +[2024-06-09 06:22:17,481] - INFO: Epoch 2641/9999, Iter 132040: Loss = 0.013408897444605827, lr = [0.0001] +[2024-06-09 06:22:59,418] - INFO: Epoch 2642/9999, Iter 132060: Loss = 0.013210423290729523, lr = [0.0001] +[2024-06-09 06:23:40,847] - INFO: Epoch 2642/9999, Iter 132080: Loss = 0.010781162418425083, lr = [0.0001] +[2024-06-09 06:24:21,054] - INFO: Epoch 2643/9999, Iter 132100: Loss = 0.009051471948623657, lr = [0.0001] +[2024-06-09 06:25:04,215] - INFO: Epoch 2643/9999, Iter 132120: Loss = 0.014181863516569138, lr = [0.0001] +[2024-06-09 06:25:44,195] - INFO: Epoch 2643/9999, Iter 132140: Loss = 0.013725285418331623, lr = [0.0001] +[2024-06-09 06:26:25,415] - INFO: Epoch 2644/9999, Iter 132160: Loss = 0.015950355678796768, lr = [0.0001] +[2024-06-09 06:27:05,809] - INFO: Epoch 2644/9999, Iter 132180: Loss = 0.016137883067131042, lr = [0.0001] +[2024-06-09 06:27:46,833] - INFO: Epoch 2645/9999, Iter 132200: Loss = 0.010204082354903221, lr = [0.0001] +[2024-06-09 06:28:26,774] - INFO: Epoch 2645/9999, Iter 132220: Loss = 0.011808887124061584, lr = [0.0001] +[2024-06-09 06:29:07,187] - INFO: Epoch 2645/9999, Iter 132240: Loss = 0.015605979599058628, lr = [0.0001] +[2024-06-09 06:29:22,668] - INFO: Evaluate at epoch 2645! +[2024-06-09 06:29:27,003] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 06:29:27,004] - INFO: Eval (with pad) PSNR (current): 38.142 (2645) SSIM (current): 0.9613 (2645) +[2024-06-09 06:29:27,004] - INFO: Evaluation over. +[2024-06-09 06:29:54,159] - INFO: Epoch 2646/9999, Iter 132260: Loss = 0.009905136190354824, lr = [0.0001] +[2024-06-09 06:30:34,805] - INFO: Epoch 2646/9999, Iter 132280: Loss = 0.008474493399262428, lr = [0.0001] +[2024-06-09 06:31:14,380] - INFO: Epoch 2647/9999, Iter 132300: Loss = 0.007164726033806801, lr = [0.0001] +[2024-06-09 06:31:56,733] - INFO: Epoch 2647/9999, Iter 132320: Loss = 0.016366083174943924, lr = [0.0001] +[2024-06-09 06:32:34,864] - INFO: Epoch 2647/9999, Iter 132340: Loss = 0.012469262816011906, lr = [0.0001] +[2024-06-09 06:33:14,742] - INFO: Epoch 2648/9999, Iter 132360: Loss = 0.00901862047612667, lr = [0.0001] +[2024-06-09 06:33:57,024] - INFO: Epoch 2648/9999, Iter 132380: Loss = 0.01718788407742977, lr = [0.0001] +[2024-06-09 06:34:36,880] - INFO: Epoch 2649/9999, Iter 132400: Loss = 0.013018559664487839, lr = [0.0001] +[2024-06-09 06:35:18,812] - INFO: Epoch 2649/9999, Iter 132420: Loss = 0.013696251437067986, lr = [0.0001] +[2024-06-09 06:35:58,674] - INFO: Epoch 2649/9999, Iter 132440: Loss = 0.01103605143725872, lr = [0.0001] +[2024-06-09 06:36:39,486] - INFO: Epoch 2650/9999, Iter 132460: Loss = 0.014521868899464607, lr = [0.0001] +[2024-06-09 06:37:20,675] - INFO: Epoch 2650/9999, Iter 132480: Loss = 0.013743406161665916, lr = [0.0001] +[2024-06-09 06:37:55,811] - INFO: Evaluate at epoch 2650! +[2024-06-09 06:38:00,085] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 06:38:00,085] - INFO: Eval (with pad) PSNR (current): 38.153 (2650) SSIM (current): 0.9614 (2650) +[2024-06-09 06:38:00,085] - INFO: Evaluation over. +[2024-06-09 06:38:05,798] - INFO: Epoch 2651/9999, Iter 132500: Loss = 0.010811196640133858, lr = [0.0001] +[2024-06-09 06:38:47,455] - INFO: Epoch 2651/9999, Iter 132520: Loss = 0.013416752219200134, lr = [0.0001] +[2024-06-09 06:39:28,640] - INFO: Epoch 2651/9999, Iter 132540: Loss = 0.016043001785874367, lr = [0.0001] +[2024-06-09 06:40:09,589] - INFO: Epoch 2652/9999, Iter 132560: Loss = 0.016008645296096802, lr = [0.0001] +[2024-06-09 06:40:51,237] - INFO: Epoch 2652/9999, Iter 132580: Loss = 0.009712791070342064, lr = [0.0001] +[2024-06-09 06:41:30,713] - INFO: Epoch 2653/9999, Iter 132600: Loss = 0.015981310978531837, lr = [0.0001] +[2024-06-09 06:42:12,013] - INFO: Epoch 2653/9999, Iter 132620: Loss = 0.014920422807335854, lr = [0.0001] +[2024-06-09 06:42:53,135] - INFO: Epoch 2653/9999, Iter 132640: Loss = 0.012014828622341156, lr = [0.0001] +[2024-06-09 06:43:34,640] - INFO: Epoch 2654/9999, Iter 132660: Loss = 0.009143066592514515, lr = [0.0001] +[2024-06-09 06:44:16,271] - INFO: Epoch 2654/9999, Iter 132680: Loss = 0.012031994760036469, lr = [0.0001] +[2024-06-09 06:44:54,640] - INFO: Epoch 2655/9999, Iter 132700: Loss = 0.00961869116872549, lr = [0.0001] +[2024-06-09 06:45:35,657] - INFO: Epoch 2655/9999, Iter 132720: Loss = 0.01298261433839798, lr = [0.0001] +[2024-06-09 06:46:15,958] - INFO: Epoch 2655/9999, Iter 132740: Loss = 0.009738393127918243, lr = [0.0001] +[2024-06-09 06:46:32,063] - INFO: Evaluate at epoch 2655! +[2024-06-09 06:46:36,311] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 06:46:36,311] - INFO: Eval (with pad) PSNR (current): 38.063 (2655) SSIM (current): 0.9613 (2655) +[2024-06-09 06:46:36,311] - INFO: Evaluation over. +[2024-06-09 06:47:01,609] - INFO: Epoch 2656/9999, Iter 132760: Loss = 0.010434398427605629, lr = [0.0001] +[2024-06-09 06:47:42,562] - INFO: Epoch 2656/9999, Iter 132780: Loss = 0.015909112989902496, lr = [0.0001] +[2024-06-09 06:48:21,778] - INFO: Epoch 2657/9999, Iter 132800: Loss = 0.009749245829880238, lr = [0.0001] +[2024-06-09 06:49:03,197] - INFO: Epoch 2657/9999, Iter 132820: Loss = 0.018768414855003357, lr = [0.0001] +[2024-06-09 06:49:42,452] - INFO: Epoch 2657/9999, Iter 132840: Loss = 0.009576301090419292, lr = [0.0001] +[2024-06-09 06:50:22,948] - INFO: Epoch 2658/9999, Iter 132860: Loss = 0.015156425535678864, lr = [0.0001] +[2024-06-09 06:51:03,052] - INFO: Epoch 2658/9999, Iter 132880: Loss = 0.015415465459227562, lr = [0.0001] +[2024-06-09 06:51:43,201] - INFO: Epoch 2659/9999, Iter 132900: Loss = 0.011237517930567265, lr = [0.0001] +[2024-06-09 06:52:25,390] - INFO: Epoch 2659/9999, Iter 132920: Loss = 0.009660382755100727, lr = [0.0001] +[2024-06-09 06:53:06,478] - INFO: Epoch 2659/9999, Iter 132940: Loss = 0.010993514209985733, lr = [0.0001] +[2024-06-09 06:53:47,037] - INFO: Epoch 2660/9999, Iter 132960: Loss = 0.01267480943351984, lr = [0.0001] +[2024-06-09 06:54:28,103] - INFO: Epoch 2660/9999, Iter 132980: Loss = 0.016794618219137192, lr = [0.0001] +[2024-06-09 06:55:04,718] - INFO: Evaluate at epoch 2660! +[2024-06-09 06:55:09,150] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 06:55:09,151] - INFO: Eval (with pad) PSNR (current): 38.166 (2660) SSIM (current): 0.9614 (2660) +[2024-06-09 06:55:09,151] - INFO: Evaluation over. +[2024-06-09 06:55:14,717] - INFO: Epoch 2661/9999, Iter 133000: Loss = 0.012295723892748356, lr = [0.0001] +[2024-06-09 06:55:56,903] - INFO: Epoch 2661/9999, Iter 133020: Loss = 0.010981064289808273, lr = [0.0001] +[2024-06-09 06:56:36,095] - INFO: Epoch 2661/9999, Iter 133040: Loss = 0.01444579754024744, lr = [0.0001] +[2024-06-09 06:57:16,872] - INFO: Epoch 2662/9999, Iter 133060: Loss = 0.015462574549019337, lr = [0.0001] +[2024-06-09 06:57:58,412] - INFO: Epoch 2662/9999, Iter 133080: Loss = 0.014383399859070778, lr = [0.0001] +[2024-06-09 06:58:36,383] - INFO: Epoch 2663/9999, Iter 133100: Loss = 0.01045452244579792, lr = [0.0001] +[2024-06-09 06:59:18,218] - INFO: Epoch 2663/9999, Iter 133120: Loss = 0.015881825238466263, lr = [0.0001] +[2024-06-09 06:59:57,165] - INFO: Epoch 2663/9999, Iter 133140: Loss = 0.014558796770870686, lr = [0.0001] +[2024-06-09 07:00:37,993] - INFO: Epoch 2664/9999, Iter 133160: Loss = 0.012310110032558441, lr = [0.0001] +[2024-06-09 07:01:19,256] - INFO: Epoch 2664/9999, Iter 133180: Loss = 0.010802106000483036, lr = [0.0001] +[2024-06-09 07:01:58,837] - INFO: Epoch 2665/9999, Iter 133200: Loss = 0.02038619853556156, lr = [0.0001] +[2024-06-09 07:02:39,861] - INFO: Epoch 2665/9999, Iter 133220: Loss = 0.01377179566770792, lr = [0.0001] +[2024-06-09 07:03:21,296] - INFO: Epoch 2665/9999, Iter 133240: Loss = 0.010034983977675438, lr = [0.0001] +[2024-06-09 07:03:37,495] - INFO: Evaluate at epoch 2665! +[2024-06-09 07:03:41,819] - INFO: Eval (with pad) PSNR (max): 38.177 (2570) SSIM (max): 0.9615 (2620) +[2024-06-09 07:03:41,820] - INFO: Eval (with pad) PSNR (current): 38.058 (2665) SSIM (current): 0.9613 (2665) +[2024-06-09 07:03:41,820] - INFO: Evaluation over. +[2024-06-09 07:04:08,990] - INFO: Epoch 2666/9999, Iter 133260: Loss = 0.009106441400945187, lr = [0.0001] +[2024-06-09 07:04:49,925] - INFO: Epoch 2666/9999, Iter 133280: Loss = 0.013239897787570953, lr = [0.0001] +[2024-06-09 07:05:29,528] - INFO: Epoch 2667/9999, Iter 133300: Loss = 0.011564554646611214, lr = [0.0001] +[2024-06-09 07:06:11,982] - INFO: Epoch 2667/9999, Iter 133320: Loss = 0.010496788658201694, lr = [0.0001] +[2024-06-09 07:06:52,659] - INFO: Epoch 2667/9999, Iter 133340: Loss = 0.01303325966000557, lr = [0.0001] +[2024-06-09 07:07:31,397] - INFO: Epoch 2668/9999, Iter 133360: Loss = 0.0218949094414711, lr = [0.0001] +[2024-06-09 07:08:12,816] - INFO: Epoch 2668/9999, Iter 133380: Loss = 0.010147128254175186, lr = [0.0001] +[2024-06-09 07:08:53,129] - INFO: Epoch 2669/9999, Iter 133400: Loss = 0.013415844179689884, lr = [0.0001] +[2024-06-09 07:09:34,736] - INFO: Epoch 2669/9999, Iter 133420: Loss = 0.009993310086429119, lr = [0.0001] +[2024-06-09 07:10:14,376] - INFO: Epoch 2669/9999, Iter 133440: Loss = 0.013212461024522781, lr = [0.0001] +[2024-06-09 07:10:55,548] - INFO: Epoch 2670/9999, Iter 133460: Loss = 0.010685766115784645, lr = [0.0001] +[2024-06-09 07:11:35,093] - INFO: Epoch 2670/9999, Iter 133480: Loss = 0.009911241009831429, lr = [0.0001] +[2024-06-09 07:12:09,425] - INFO: Evaluate at epoch 2670! +[2024-06-09 07:12:16,677] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 07:12:16,678] - INFO: Eval (with pad) PSNR (current): 38.182 (2670) SSIM (current): 0.9615 (2670) +[2024-06-09 07:12:16,678] - INFO: Evaluation over. +[2024-06-09 07:12:22,319] - INFO: Epoch 2671/9999, Iter 133500: Loss = 0.010806695558130741, lr = [0.0001] +[2024-06-09 07:13:03,610] - INFO: Epoch 2671/9999, Iter 133520: Loss = 0.013140272349119186, lr = [0.0001] +[2024-06-09 07:13:43,873] - INFO: Epoch 2671/9999, Iter 133540: Loss = 0.023324115201830864, lr = [0.0001] +[2024-06-09 07:14:24,059] - INFO: Epoch 2672/9999, Iter 133560: Loss = 0.014084725640714169, lr = [0.0001] +[2024-06-09 07:15:04,804] - INFO: Epoch 2672/9999, Iter 133580: Loss = 0.011142253875732422, lr = [0.0001] +[2024-06-09 07:15:44,560] - INFO: Epoch 2673/9999, Iter 133600: Loss = 0.010937070474028587, lr = [0.0001] +[2024-06-09 07:16:26,225] - INFO: Epoch 2673/9999, Iter 133620: Loss = 0.009666584432125092, lr = [0.0001] +[2024-06-09 07:17:07,262] - INFO: Epoch 2673/9999, Iter 133640: Loss = 0.018280843272805214, lr = [0.0001] +[2024-06-09 07:17:47,735] - INFO: Epoch 2674/9999, Iter 133660: Loss = 0.0152980862185359, lr = [0.0001] +[2024-06-09 07:18:28,592] - INFO: Epoch 2674/9999, Iter 133680: Loss = 0.008885981515049934, lr = [0.0001] +[2024-06-09 07:19:08,551] - INFO: Epoch 2675/9999, Iter 133700: Loss = 0.013965870253741741, lr = [0.0001] +[2024-06-09 07:19:47,928] - INFO: Epoch 2675/9999, Iter 133720: Loss = 0.01119072176516056, lr = [0.0001] +[2024-06-09 07:20:26,566] - INFO: Epoch 2675/9999, Iter 133740: Loss = 0.016644420102238655, lr = [0.0001] +[2024-06-09 07:20:42,297] - INFO: Evaluate at epoch 2675! +[2024-06-09 07:20:46,662] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 07:20:46,662] - INFO: Eval (with pad) PSNR (current): 38.161 (2675) SSIM (current): 0.9614 (2675) +[2024-06-09 07:20:46,662] - INFO: Evaluation over. +[2024-06-09 07:21:12,980] - INFO: Epoch 2676/9999, Iter 133760: Loss = 0.011287378147244453, lr = [0.0001] +[2024-06-09 07:21:52,682] - INFO: Epoch 2676/9999, Iter 133780: Loss = 0.014546767808496952, lr = [0.0001] +[2024-06-09 07:22:32,956] - INFO: Epoch 2677/9999, Iter 133800: Loss = 0.017925916239619255, lr = [0.0001] +[2024-06-09 07:23:14,859] - INFO: Epoch 2677/9999, Iter 133820: Loss = 0.011461866088211536, lr = [0.0001] +[2024-06-09 07:23:54,507] - INFO: Epoch 2677/9999, Iter 133840: Loss = 0.008520578034222126, lr = [0.0001] +[2024-06-09 07:24:35,833] - INFO: Epoch 2678/9999, Iter 133860: Loss = 0.011735529638826847, lr = [0.0001] +[2024-06-09 07:25:15,730] - INFO: Epoch 2678/9999, Iter 133880: Loss = 0.014384602196514606, lr = [0.0001] +[2024-06-09 07:25:56,654] - INFO: Epoch 2679/9999, Iter 133900: Loss = 0.011201257817447186, lr = [0.0001] +[2024-06-09 07:26:38,370] - INFO: Epoch 2679/9999, Iter 133920: Loss = 0.012928490526974201, lr = [0.0001] +[2024-06-09 07:27:19,767] - INFO: Epoch 2679/9999, Iter 133940: Loss = 0.008664950728416443, lr = [0.0001] +[2024-06-09 07:28:00,057] - INFO: Epoch 2680/9999, Iter 133960: Loss = 0.011143342591822147, lr = [0.0001] +[2024-06-09 07:28:41,365] - INFO: Epoch 2680/9999, Iter 133980: Loss = 0.012074143625795841, lr = [0.0001] +[2024-06-09 07:29:16,524] - INFO: Evaluate at epoch 2680! +[2024-06-09 07:29:20,771] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 07:29:20,771] - INFO: Eval (with pad) PSNR (current): 38.162 (2680) SSIM (current): 0.9613 (2680) +[2024-06-09 07:29:20,771] - INFO: Evaluation over. +[2024-06-09 07:29:26,707] - INFO: Epoch 2681/9999, Iter 134000: Loss = 0.012214682064950466, lr = [0.0001] +[2024-06-09 07:30:06,549] - INFO: Epoch 2681/9999, Iter 134020: Loss = 0.013484950177371502, lr = [0.0001] +[2024-06-09 07:30:44,401] - INFO: Epoch 2681/9999, Iter 134040: Loss = 0.015676861628890038, lr = [0.0001] +[2024-06-09 07:31:24,348] - INFO: Epoch 2682/9999, Iter 134060: Loss = 0.010357183404266834, lr = [0.0001] +[2024-06-09 07:32:04,532] - INFO: Epoch 2682/9999, Iter 134080: Loss = 0.011882025748491287, lr = [0.0001] +[2024-06-09 07:32:45,720] - INFO: Epoch 2683/9999, Iter 134100: Loss = 0.017394060268998146, lr = [0.0001] +[2024-06-09 07:33:28,915] - INFO: Epoch 2683/9999, Iter 134120: Loss = 0.01166555006057024, lr = [0.0001] +[2024-06-09 07:34:09,434] - INFO: Epoch 2683/9999, Iter 134140: Loss = 0.0092543363571167, lr = [0.0001] +[2024-06-09 07:34:49,168] - INFO: Epoch 2684/9999, Iter 134160: Loss = 0.017393987625837326, lr = [0.0001] +[2024-06-09 07:35:29,880] - INFO: Epoch 2684/9999, Iter 134180: Loss = 0.012144733220338821, lr = [0.0001] +[2024-06-09 07:36:09,426] - INFO: Epoch 2685/9999, Iter 134200: Loss = 0.01012115366756916, lr = [0.0001] +[2024-06-09 07:36:51,122] - INFO: Epoch 2685/9999, Iter 134220: Loss = 0.013823874294757843, lr = [0.0001] +[2024-06-09 07:37:31,124] - INFO: Epoch 2685/9999, Iter 134240: Loss = 0.012403545901179314, lr = [0.0001] +[2024-06-09 07:37:46,695] - INFO: Evaluate at epoch 2685! +[2024-06-09 07:37:51,229] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 07:37:51,229] - INFO: Eval (with pad) PSNR (current): 38.143 (2685) SSIM (current): 0.9614 (2685) +[2024-06-09 07:37:51,229] - INFO: Evaluation over. +[2024-06-09 07:38:18,459] - INFO: Epoch 2686/9999, Iter 134260: Loss = 0.014840620569884777, lr = [0.0001] +[2024-06-09 07:38:59,034] - INFO: Epoch 2686/9999, Iter 134280: Loss = 0.013294374570250511, lr = [0.0001] +[2024-06-09 07:39:38,428] - INFO: Epoch 2687/9999, Iter 134300: Loss = 0.016531772911548615, lr = [0.0001] +[2024-06-09 07:40:20,256] - INFO: Epoch 2687/9999, Iter 134320: Loss = 0.012838861905038357, lr = [0.0001] +[2024-06-09 07:40:59,999] - INFO: Epoch 2687/9999, Iter 134340: Loss = 0.008356005884706974, lr = [0.0001] +[2024-06-09 07:41:40,835] - INFO: Epoch 2688/9999, Iter 134360: Loss = 0.009329725056886673, lr = [0.0001] +[2024-06-09 07:42:20,659] - INFO: Epoch 2688/9999, Iter 134380: Loss = 0.015936771407723427, lr = [0.0001] +[2024-06-09 07:43:00,874] - INFO: Epoch 2689/9999, Iter 134400: Loss = 0.017613805830478668, lr = [0.0001] +[2024-06-09 07:43:42,180] - INFO: Epoch 2689/9999, Iter 134420: Loss = 0.010573373176157475, lr = [0.0001] +[2024-06-09 07:44:22,230] - INFO: Epoch 2689/9999, Iter 134440: Loss = 0.012020011432468891, lr = [0.0001] +[2024-06-09 07:45:02,473] - INFO: Epoch 2690/9999, Iter 134460: Loss = 0.014859342947602272, lr = [0.0001] +[2024-06-09 07:45:42,499] - INFO: Epoch 2690/9999, Iter 134480: Loss = 0.01844310201704502, lr = [0.0001] +[2024-06-09 07:46:17,746] - INFO: Evaluate at epoch 2690! +[2024-06-09 07:46:22,425] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 07:46:22,425] - INFO: Eval (with pad) PSNR (current): 38.180 (2690) SSIM (current): 0.9614 (2690) +[2024-06-09 07:46:22,425] - INFO: Evaluation over. +[2024-06-09 07:46:28,153] - INFO: Epoch 2691/9999, Iter 134500: Loss = 0.01169806718826294, lr = [0.0001] +[2024-06-09 07:47:10,240] - INFO: Epoch 2691/9999, Iter 134520: Loss = 0.011545821093022823, lr = [0.0001] +[2024-06-09 07:47:50,959] - INFO: Epoch 2691/9999, Iter 134540: Loss = 0.009637872688472271, lr = [0.0001] +[2024-06-09 07:48:30,088] - INFO: Epoch 2692/9999, Iter 134560: Loss = 0.012458748184144497, lr = [0.0001] +[2024-06-09 07:49:10,036] - INFO: Epoch 2692/9999, Iter 134580: Loss = 0.008789671584963799, lr = [0.0001] +[2024-06-09 07:49:49,324] - INFO: Epoch 2693/9999, Iter 134600: Loss = 0.014350383542478085, lr = [0.0001] +[2024-06-09 07:50:30,687] - INFO: Epoch 2693/9999, Iter 134620: Loss = 0.010777542367577553, lr = [0.0001] +[2024-06-09 07:51:11,846] - INFO: Epoch 2693/9999, Iter 134640: Loss = 0.01421761978417635, lr = [0.0001] +[2024-06-09 07:51:53,293] - INFO: Epoch 2694/9999, Iter 134660: Loss = 0.009663978591561317, lr = [0.0001] +[2024-06-09 07:52:32,999] - INFO: Epoch 2694/9999, Iter 134680: Loss = 0.012166028842329979, lr = [0.0001] +[2024-06-09 07:53:11,798] - INFO: Epoch 2695/9999, Iter 134700: Loss = 0.011794043704867363, lr = [0.0001] +[2024-06-09 07:53:53,021] - INFO: Epoch 2695/9999, Iter 134720: Loss = 0.013058692216873169, lr = [0.0001] +[2024-06-09 07:54:34,083] - INFO: Epoch 2695/9999, Iter 134740: Loss = 0.012735764496028423, lr = [0.0001] +[2024-06-09 07:54:49,398] - INFO: Evaluate at epoch 2695! +[2024-06-09 07:54:53,787] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 07:54:53,787] - INFO: Eval (with pad) PSNR (current): 38.136 (2695) SSIM (current): 0.9613 (2695) +[2024-06-09 07:54:53,787] - INFO: Evaluation over. +[2024-06-09 07:55:20,190] - INFO: Epoch 2696/9999, Iter 134760: Loss = 0.014683866873383522, lr = [0.0001] +[2024-06-09 07:56:01,520] - INFO: Epoch 2696/9999, Iter 134780: Loss = 0.009483116678893566, lr = [0.0001] +[2024-06-09 07:56:41,449] - INFO: Epoch 2697/9999, Iter 134800: Loss = 0.015052095986902714, lr = [0.0001] +[2024-06-09 07:57:20,878] - INFO: Epoch 2697/9999, Iter 134820: Loss = 0.017988502979278564, lr = [0.0001] +[2024-06-09 07:58:01,585] - INFO: Epoch 2697/9999, Iter 134840: Loss = 0.01817990094423294, lr = [0.0001] +[2024-06-09 07:58:41,629] - INFO: Epoch 2698/9999, Iter 134860: Loss = 0.014278767630457878, lr = [0.0001] +[2024-06-09 07:59:23,414] - INFO: Epoch 2698/9999, Iter 134880: Loss = 0.017249973490834236, lr = [0.0001] +[2024-06-09 08:00:03,844] - INFO: Epoch 2699/9999, Iter 134900: Loss = 0.012831579893827438, lr = [0.0001] +[2024-06-09 08:00:45,808] - INFO: Epoch 2699/9999, Iter 134920: Loss = 0.020393716171383858, lr = [0.0001] +[2024-06-09 08:01:25,744] - INFO: Epoch 2699/9999, Iter 134940: Loss = 0.005139312706887722, lr = [0.0001] +[2024-06-09 08:02:06,108] - INFO: Epoch 2700/9999, Iter 134960: Loss = 0.014855851419270039, lr = [0.0001] +[2024-06-09 08:02:46,405] - INFO: Epoch 2700/9999, Iter 134980: Loss = 0.008868908509612083, lr = [0.0001] +[2024-06-09 08:03:22,393] - INFO: Evaluate at epoch 2700! +[2024-06-09 08:03:26,714] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 08:03:26,714] - INFO: Eval (with pad) PSNR (current): 38.146 (2700) SSIM (current): 0.9614 (2700) +[2024-06-09 08:03:26,714] - INFO: Evaluation over. +[2024-06-09 08:03:32,402] - INFO: Epoch 2701/9999, Iter 135000: Loss = 0.014854601584374905, lr = [0.0001] +[2024-06-09 08:04:12,111] - INFO: Epoch 2701/9999, Iter 135020: Loss = 0.009709477424621582, lr = [0.0001] +[2024-06-09 08:04:52,025] - INFO: Epoch 2701/9999, Iter 135040: Loss = 0.013411036692559719, lr = [0.0001] +[2024-06-09 08:05:33,251] - INFO: Epoch 2702/9999, Iter 135060: Loss = 0.011706977151334286, lr = [0.0001] +[2024-06-09 08:06:13,092] - INFO: Epoch 2702/9999, Iter 135080: Loss = 0.009505203925073147, lr = [0.0001] +[2024-06-09 08:06:53,327] - INFO: Epoch 2703/9999, Iter 135100: Loss = 0.010288744233548641, lr = [0.0001] +[2024-06-09 08:07:34,576] - INFO: Epoch 2703/9999, Iter 135120: Loss = 0.016672629863023758, lr = [0.0001] +[2024-06-09 08:08:14,747] - INFO: Epoch 2703/9999, Iter 135140: Loss = 0.012002276256680489, lr = [0.0001] +[2024-06-09 08:08:54,118] - INFO: Epoch 2704/9999, Iter 135160: Loss = 0.0167250819504261, lr = [0.0001] +[2024-06-09 08:09:34,423] - INFO: Epoch 2704/9999, Iter 135180: Loss = 0.013340155594050884, lr = [0.0001] +[2024-06-09 08:10:15,009] - INFO: Epoch 2705/9999, Iter 135200: Loss = 0.013471710495650768, lr = [0.0001] +[2024-06-09 08:10:56,385] - INFO: Epoch 2705/9999, Iter 135220: Loss = 0.012907745316624641, lr = [0.0001] +[2024-06-09 08:11:36,881] - INFO: Epoch 2705/9999, Iter 135240: Loss = 0.014783697202801704, lr = [0.0001] +[2024-06-09 08:11:53,123] - INFO: Evaluate at epoch 2705! +[2024-06-09 08:11:57,469] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 08:11:57,469] - INFO: Eval (with pad) PSNR (current): 38.168 (2705) SSIM (current): 0.9614 (2705) +[2024-06-09 08:11:57,469] - INFO: Evaluation over. +[2024-06-09 08:12:23,579] - INFO: Epoch 2706/9999, Iter 135260: Loss = 0.013510316610336304, lr = [0.0001] +[2024-06-09 08:13:05,348] - INFO: Epoch 2706/9999, Iter 135280: Loss = 0.008926549926400185, lr = [0.0001] +[2024-06-09 08:13:44,389] - INFO: Epoch 2707/9999, Iter 135300: Loss = 0.00879895593971014, lr = [0.0001] +[2024-06-09 08:14:25,705] - INFO: Epoch 2707/9999, Iter 135320: Loss = 0.012513905763626099, lr = [0.0001] +[2024-06-09 08:15:06,366] - INFO: Epoch 2707/9999, Iter 135340: Loss = 0.00912157166749239, lr = [0.0001] +[2024-06-09 08:15:47,841] - INFO: Epoch 2708/9999, Iter 135360: Loss = 0.008731929585337639, lr = [0.0001] +[2024-06-09 08:16:27,864] - INFO: Epoch 2708/9999, Iter 135380: Loss = 0.013580248691141605, lr = [0.0001] +[2024-06-09 08:17:06,982] - INFO: Epoch 2709/9999, Iter 135400: Loss = 0.010768579319119453, lr = [0.0001] +[2024-06-09 08:17:48,148] - INFO: Epoch 2709/9999, Iter 135420: Loss = 0.014756092801690102, lr = [0.0001] +[2024-06-09 08:18:29,664] - INFO: Epoch 2709/9999, Iter 135440: Loss = 0.010714656673371792, lr = [0.0001] +[2024-06-09 08:19:10,540] - INFO: Epoch 2710/9999, Iter 135460: Loss = 0.010635236278176308, lr = [0.0001] +[2024-06-09 08:19:48,680] - INFO: Epoch 2710/9999, Iter 135480: Loss = 0.01039196364581585, lr = [0.0001] +[2024-06-09 08:20:26,312] - INFO: Evaluate at epoch 2710! +[2024-06-09 08:20:30,614] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 08:20:30,614] - INFO: Eval (with pad) PSNR (current): 38.164 (2710) SSIM (current): 0.9613 (2710) +[2024-06-09 08:20:30,614] - INFO: Evaluation over. +[2024-06-09 08:20:36,428] - INFO: Epoch 2711/9999, Iter 135500: Loss = 0.012778575532138348, lr = [0.0001] +[2024-06-09 08:21:18,636] - INFO: Epoch 2711/9999, Iter 135520: Loss = 0.010691273957490921, lr = [0.0001] +[2024-06-09 08:21:59,444] - INFO: Epoch 2711/9999, Iter 135540: Loss = 0.012928207404911518, lr = [0.0001] +[2024-06-09 08:22:41,781] - INFO: Epoch 2712/9999, Iter 135560: Loss = 0.010950581170618534, lr = [0.0001] +[2024-06-09 08:23:21,725] - INFO: Epoch 2712/9999, Iter 135580: Loss = 0.013167966157197952, lr = [0.0001] +[2024-06-09 08:24:00,581] - INFO: Epoch 2713/9999, Iter 135600: Loss = 0.012893272563815117, lr = [0.0001] +[2024-06-09 08:24:41,411] - INFO: Epoch 2713/9999, Iter 135620: Loss = 0.013266892172396183, lr = [0.0001] +[2024-06-09 08:25:20,534] - INFO: Epoch 2713/9999, Iter 135640: Loss = 0.013498867861926556, lr = [0.0001] +[2024-06-09 08:26:00,146] - INFO: Epoch 2714/9999, Iter 135660: Loss = 0.017278967425227165, lr = [0.0001] +[2024-06-09 08:26:39,416] - INFO: Epoch 2714/9999, Iter 135680: Loss = 0.014877122826874256, lr = [0.0001] +[2024-06-09 08:27:19,534] - INFO: Epoch 2715/9999, Iter 135700: Loss = 0.011627964675426483, lr = [0.0001] +[2024-06-09 08:28:01,161] - INFO: Epoch 2715/9999, Iter 135720: Loss = 0.013077001087367535, lr = [0.0001] +[2024-06-09 08:28:40,969] - INFO: Epoch 2715/9999, Iter 135740: Loss = 0.011152942664921284, lr = [0.0001] +[2024-06-09 08:28:56,404] - INFO: Evaluate at epoch 2715! +[2024-06-09 08:29:00,744] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 08:29:00,744] - INFO: Eval (with pad) PSNR (current): 38.092 (2715) SSIM (current): 0.9613 (2715) +[2024-06-09 08:29:00,745] - INFO: Evaluation over. +[2024-06-09 08:29:25,472] - INFO: Epoch 2716/9999, Iter 135760: Loss = 0.014934628270566463, lr = [0.0001] +[2024-06-09 08:30:06,309] - INFO: Epoch 2716/9999, Iter 135780: Loss = 0.015437538735568523, lr = [0.0001] +[2024-06-09 08:30:44,333] - INFO: Epoch 2717/9999, Iter 135800: Loss = 0.016332168132066727, lr = [0.0001] +[2024-06-09 08:31:24,423] - INFO: Epoch 2717/9999, Iter 135820: Loss = 0.016413940116763115, lr = [0.0001] +[2024-06-09 08:32:04,191] - INFO: Epoch 2717/9999, Iter 135840: Loss = 0.01901378110051155, lr = [0.0001] +[2024-06-09 08:32:42,860] - INFO: Epoch 2718/9999, Iter 135860: Loss = 0.014459043741226196, lr = [0.0001] +[2024-06-09 08:33:22,895] - INFO: Epoch 2718/9999, Iter 135880: Loss = 0.01621844805777073, lr = [0.0001] +[2024-06-09 08:34:01,699] - INFO: Epoch 2719/9999, Iter 135900: Loss = 0.012611450627446175, lr = [0.0001] +[2024-06-09 08:34:43,140] - INFO: Epoch 2719/9999, Iter 135920: Loss = 0.011889544315636158, lr = [0.0001] +[2024-06-09 08:35:23,620] - INFO: Epoch 2719/9999, Iter 135940: Loss = 0.01426119264215231, lr = [0.0001] +[2024-06-09 08:36:03,589] - INFO: Epoch 2720/9999, Iter 135960: Loss = 0.006332141347229481, lr = [0.0001] +[2024-06-09 08:36:45,320] - INFO: Epoch 2720/9999, Iter 135980: Loss = 0.006793186068534851, lr = [0.0001] +[2024-06-09 08:37:19,986] - INFO: Evaluate at epoch 2720! +[2024-06-09 08:37:24,528] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 08:37:24,528] - INFO: Eval (with pad) PSNR (current): 38.177 (2720) SSIM (current): 0.9614 (2720) +[2024-06-09 08:37:24,529] - INFO: Evaluation over. +[2024-06-09 08:37:30,180] - INFO: Epoch 2721/9999, Iter 136000: Loss = 0.015525735914707184, lr = [0.0001] +[2024-06-09 08:38:11,103] - INFO: Epoch 2721/9999, Iter 136020: Loss = 0.01718558929860592, lr = [0.0001] +[2024-06-09 08:38:51,920] - INFO: Epoch 2721/9999, Iter 136040: Loss = 0.01745033450424671, lr = [0.0001] +[2024-06-09 08:39:30,728] - INFO: Epoch 2722/9999, Iter 136060: Loss = 0.01216329075396061, lr = [0.0001] +[2024-06-09 08:40:11,171] - INFO: Epoch 2722/9999, Iter 136080: Loss = 0.015044444240629673, lr = [0.0001] +[2024-06-09 08:40:49,767] - INFO: Epoch 2723/9999, Iter 136100: Loss = 0.01769881509244442, lr = [0.0001] +[2024-06-09 08:41:29,864] - INFO: Epoch 2723/9999, Iter 136120: Loss = 0.015951085835695267, lr = [0.0001] +[2024-06-09 08:42:09,307] - INFO: Epoch 2723/9999, Iter 136140: Loss = 0.013035567477345467, lr = [0.0001] +[2024-06-09 08:42:48,380] - INFO: Epoch 2724/9999, Iter 136160: Loss = 0.011532300151884556, lr = [0.0001] +[2024-06-09 08:43:27,992] - INFO: Epoch 2724/9999, Iter 136180: Loss = 0.011172489263117313, lr = [0.0001] +[2024-06-09 08:44:08,956] - INFO: Epoch 2725/9999, Iter 136200: Loss = 0.011884627863764763, lr = [0.0001] +[2024-06-09 08:44:50,011] - INFO: Epoch 2725/9999, Iter 136220: Loss = 0.012233572080731392, lr = [0.0001] +[2024-06-09 08:45:29,248] - INFO: Epoch 2725/9999, Iter 136240: Loss = 0.012001370079815388, lr = [0.0001] +[2024-06-09 08:45:45,069] - INFO: Evaluate at epoch 2725! +[2024-06-09 08:45:49,346] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 08:45:49,346] - INFO: Eval (with pad) PSNR (current): 38.153 (2725) SSIM (current): 0.9614 (2725) +[2024-06-09 08:45:49,346] - INFO: Evaluation over. +[2024-06-09 08:46:14,197] - INFO: Epoch 2726/9999, Iter 136260: Loss = 0.012799086049199104, lr = [0.0001] +[2024-06-09 08:46:55,365] - INFO: Epoch 2726/9999, Iter 136280: Loss = 0.013413422740995884, lr = [0.0001] +[2024-06-09 08:47:34,931] - INFO: Epoch 2727/9999, Iter 136300: Loss = 0.008210502564907074, lr = [0.0001] +[2024-06-09 08:48:17,976] - INFO: Epoch 2727/9999, Iter 136320: Loss = 0.012276391498744488, lr = [0.0001] +[2024-06-09 08:48:57,544] - INFO: Epoch 2727/9999, Iter 136340: Loss = 0.014693754725158215, lr = [0.0001] +[2024-06-09 08:49:39,012] - INFO: Epoch 2728/9999, Iter 136360: Loss = 0.013816608116030693, lr = [0.0001] +[2024-06-09 08:50:18,252] - INFO: Epoch 2728/9999, Iter 136380: Loss = 0.017868174239993095, lr = [0.0001] +[2024-06-09 08:50:57,427] - INFO: Epoch 2729/9999, Iter 136400: Loss = 0.0162268728017807, lr = [0.0001] +[2024-06-09 08:51:39,039] - INFO: Epoch 2729/9999, Iter 136420: Loss = 0.011674592271447182, lr = [0.0001] +[2024-06-09 08:52:20,573] - INFO: Epoch 2729/9999, Iter 136440: Loss = 0.018846575170755386, lr = [0.0001] +[2024-06-09 08:52:59,830] - INFO: Epoch 2730/9999, Iter 136460: Loss = 0.012155738659203053, lr = [0.0001] +[2024-06-09 08:53:39,069] - INFO: Epoch 2730/9999, Iter 136480: Loss = 0.010768560692667961, lr = [0.0001] +[2024-06-09 08:54:16,451] - INFO: Evaluate at epoch 2730! +[2024-06-09 08:54:20,703] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 08:54:20,703] - INFO: Eval (with pad) PSNR (current): 38.157 (2730) SSIM (current): 0.9614 (2730) +[2024-06-09 08:54:20,704] - INFO: Evaluation over. +[2024-06-09 08:54:26,253] - INFO: Epoch 2731/9999, Iter 136500: Loss = 0.011650694534182549, lr = [0.0001] +[2024-06-09 08:55:06,499] - INFO: Epoch 2731/9999, Iter 136520: Loss = 0.01279084850102663, lr = [0.0001] +[2024-06-09 08:55:47,081] - INFO: Epoch 2731/9999, Iter 136540: Loss = 0.00811613816767931, lr = [0.0001] +[2024-06-09 08:56:28,044] - INFO: Epoch 2732/9999, Iter 136560: Loss = 0.008690071292221546, lr = [0.0001] +[2024-06-09 08:57:09,271] - INFO: Epoch 2732/9999, Iter 136580: Loss = 0.014012228697538376, lr = [0.0001] +[2024-06-09 08:57:49,277] - INFO: Epoch 2733/9999, Iter 136600: Loss = 0.009054095484316349, lr = [0.0001] +[2024-06-09 08:58:30,457] - INFO: Epoch 2733/9999, Iter 136620: Loss = 0.010026900097727776, lr = [0.0001] +[2024-06-09 08:59:10,316] - INFO: Epoch 2733/9999, Iter 136640: Loss = 0.008697852492332458, lr = [0.0001] +[2024-06-09 08:59:51,549] - INFO: Epoch 2734/9999, Iter 136660: Loss = 0.015334597788751125, lr = [0.0001] +[2024-06-09 09:00:30,240] - INFO: Epoch 2734/9999, Iter 136680: Loss = 0.012051139958202839, lr = [0.0001] +[2024-06-09 09:01:09,528] - INFO: Epoch 2735/9999, Iter 136700: Loss = 0.017775461077690125, lr = [0.0001] +[2024-06-09 09:01:51,514] - INFO: Epoch 2735/9999, Iter 136720: Loss = 0.00849845726042986, lr = [0.0001] +[2024-06-09 09:02:32,208] - INFO: Epoch 2735/9999, Iter 136740: Loss = 0.011792887933552265, lr = [0.0001] +[2024-06-09 09:02:48,663] - INFO: Evaluate at epoch 2735! +[2024-06-09 09:02:52,963] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 09:02:52,963] - INFO: Eval (with pad) PSNR (current): 38.170 (2735) SSIM (current): 0.9614 (2735) +[2024-06-09 09:02:52,963] - INFO: Evaluation over. +[2024-06-09 09:03:19,601] - INFO: Epoch 2736/9999, Iter 136760: Loss = 0.013432121835649014, lr = [0.0001] +[2024-06-09 09:03:58,895] - INFO: Epoch 2736/9999, Iter 136780: Loss = 0.0165800042450428, lr = [0.0001] +[2024-06-09 09:04:39,112] - INFO: Epoch 2737/9999, Iter 136800: Loss = 0.015385184437036514, lr = [0.0001] +[2024-06-09 09:05:19,996] - INFO: Epoch 2737/9999, Iter 136820: Loss = 0.011255708523094654, lr = [0.0001] +[2024-06-09 09:06:00,580] - INFO: Epoch 2737/9999, Iter 136840: Loss = 0.010876772925257683, lr = [0.0001] +[2024-06-09 09:06:41,663] - INFO: Epoch 2738/9999, Iter 136860: Loss = 0.010541392490267754, lr = [0.0001] +[2024-06-09 09:07:21,936] - INFO: Epoch 2738/9999, Iter 136880: Loss = 0.0201466865837574, lr = [0.0001] +[2024-06-09 09:08:01,182] - INFO: Epoch 2739/9999, Iter 136900: Loss = 0.011628604494035244, lr = [0.0001] +[2024-06-09 09:08:42,815] - INFO: Epoch 2739/9999, Iter 136920: Loss = 0.009976309724152088, lr = [0.0001] +[2024-06-09 09:09:23,619] - INFO: Epoch 2739/9999, Iter 136940: Loss = 0.012437313795089722, lr = [0.0001] +[2024-06-09 09:10:03,402] - INFO: Epoch 2740/9999, Iter 136960: Loss = 0.01525088120251894, lr = [0.0001] +[2024-06-09 09:10:45,002] - INFO: Epoch 2740/9999, Iter 136980: Loss = 0.01045084185898304, lr = [0.0001] +[2024-06-09 09:11:20,970] - INFO: Evaluate at epoch 2740! +[2024-06-09 09:11:25,281] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 09:11:25,281] - INFO: Eval (with pad) PSNR (current): 38.150 (2740) SSIM (current): 0.9613 (2740) +[2024-06-09 09:11:25,281] - INFO: Evaluation over. +[2024-06-09 09:11:30,603] - INFO: Epoch 2741/9999, Iter 137000: Loss = 0.01400730200111866, lr = [0.0001] +[2024-06-09 09:12:11,267] - INFO: Epoch 2741/9999, Iter 137020: Loss = 0.011918415315449238, lr = [0.0001] +[2024-06-09 09:12:50,844] - INFO: Epoch 2741/9999, Iter 137040: Loss = 0.011168431490659714, lr = [0.0001] +[2024-06-09 09:13:32,037] - INFO: Epoch 2742/9999, Iter 137060: Loss = 0.013079140335321426, lr = [0.0001] +[2024-06-09 09:14:12,684] - INFO: Epoch 2742/9999, Iter 137080: Loss = 0.015620929189026356, lr = [0.0001] +[2024-06-09 09:14:53,441] - INFO: Epoch 2743/9999, Iter 137100: Loss = 0.010406700894236565, lr = [0.0001] +[2024-06-09 09:15:35,362] - INFO: Epoch 2743/9999, Iter 137120: Loss = 0.012137011624872684, lr = [0.0001] +[2024-06-09 09:16:14,828] - INFO: Epoch 2743/9999, Iter 137140: Loss = 0.010403383523225784, lr = [0.0001] +[2024-06-09 09:16:54,957] - INFO: Epoch 2744/9999, Iter 137160: Loss = 0.01316390186548233, lr = [0.0001] +[2024-06-09 09:17:34,676] - INFO: Epoch 2744/9999, Iter 137180: Loss = 0.008356256410479546, lr = [0.0001] +[2024-06-09 09:18:15,348] - INFO: Epoch 2745/9999, Iter 137200: Loss = 0.012201360426843166, lr = [0.0001] +[2024-06-09 09:18:56,317] - INFO: Epoch 2745/9999, Iter 137220: Loss = 0.02159745804965496, lr = [0.0001] +[2024-06-09 09:19:35,810] - INFO: Epoch 2745/9999, Iter 137240: Loss = 0.012116340920329094, lr = [0.0001] +[2024-06-09 09:19:51,922] - INFO: Evaluate at epoch 2745! +[2024-06-09 09:19:56,285] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 09:19:56,285] - INFO: Eval (with pad) PSNR (current): 38.182 (2745) SSIM (current): 0.9613 (2745) +[2024-06-09 09:19:56,285] - INFO: Evaluation over. +[2024-06-09 09:20:23,245] - INFO: Epoch 2746/9999, Iter 137260: Loss = 0.016056228429079056, lr = [0.0001] +[2024-06-09 09:21:02,080] - INFO: Epoch 2746/9999, Iter 137280: Loss = 0.014787442982196808, lr = [0.0001] +[2024-06-09 09:21:42,220] - INFO: Epoch 2747/9999, Iter 137300: Loss = 0.009404855780303478, lr = [0.0001] +[2024-06-09 09:22:23,421] - INFO: Epoch 2747/9999, Iter 137320: Loss = 0.010881162248551846, lr = [0.0001] +[2024-06-09 09:23:02,896] - INFO: Epoch 2747/9999, Iter 137340: Loss = 0.013581710867583752, lr = [0.0001] +[2024-06-09 09:23:42,880] - INFO: Epoch 2748/9999, Iter 137360: Loss = 0.010760963894426823, lr = [0.0001] +[2024-06-09 09:24:22,803] - INFO: Epoch 2748/9999, Iter 137380: Loss = 0.01257212832570076, lr = [0.0001] +[2024-06-09 09:25:03,065] - INFO: Epoch 2749/9999, Iter 137400: Loss = 0.007109349127858877, lr = [0.0001] +[2024-06-09 09:25:44,316] - INFO: Epoch 2749/9999, Iter 137420: Loss = 0.016023335978388786, lr = [0.0001] +[2024-06-09 09:26:25,427] - INFO: Epoch 2749/9999, Iter 137440: Loss = 0.01607876643538475, lr = [0.0001] +[2024-06-09 09:27:06,746] - INFO: Epoch 2750/9999, Iter 137460: Loss = 0.008967310190200806, lr = [0.0001] +[2024-06-09 09:27:46,859] - INFO: Epoch 2750/9999, Iter 137480: Loss = 0.010346039198338985, lr = [0.0001] +[2024-06-09 09:28:22,051] - INFO: Evaluate at epoch 2750! +[2024-06-09 09:28:26,210] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 09:28:26,210] - INFO: Eval (with pad) PSNR (current): 38.175 (2750) SSIM (current): 0.9614 (2750) +[2024-06-09 09:28:26,210] - INFO: Evaluation over. +[2024-06-09 09:28:31,359] - INFO: Epoch 2751/9999, Iter 137500: Loss = 0.012926433235406876, lr = [0.0001] +[2024-06-09 09:29:10,670] - INFO: Epoch 2751/9999, Iter 137520: Loss = 0.015038181096315384, lr = [0.0001] +[2024-06-09 09:29:51,511] - INFO: Epoch 2751/9999, Iter 137540: Loss = 0.011145839467644691, lr = [0.0001] +[2024-06-09 09:30:32,503] - INFO: Epoch 2752/9999, Iter 137560: Loss = 0.01672329567372799, lr = [0.0001] +[2024-06-09 09:31:12,827] - INFO: Epoch 2752/9999, Iter 137580: Loss = 0.01640087179839611, lr = [0.0001] +[2024-06-09 09:31:51,011] - INFO: Epoch 2753/9999, Iter 137600: Loss = 0.010334908962249756, lr = [0.0001] +[2024-06-09 09:32:32,132] - INFO: Epoch 2753/9999, Iter 137620: Loss = 0.02190645970404148, lr = [0.0001] +[2024-06-09 09:33:11,537] - INFO: Epoch 2753/9999, Iter 137640: Loss = 0.014534913003444672, lr = [0.0001] +[2024-06-09 09:33:50,692] - INFO: Epoch 2754/9999, Iter 137660: Loss = 0.01060664001852274, lr = [0.0001] +[2024-06-09 09:34:30,826] - INFO: Epoch 2754/9999, Iter 137680: Loss = 0.010166315361857414, lr = [0.0001] +[2024-06-09 09:35:10,756] - INFO: Epoch 2755/9999, Iter 137700: Loss = 0.009931511245667934, lr = [0.0001] +[2024-06-09 09:35:52,004] - INFO: Epoch 2755/9999, Iter 137720: Loss = 0.014155982062220573, lr = [0.0001] +[2024-06-09 09:36:32,523] - INFO: Epoch 2755/9999, Iter 137740: Loss = 0.010724889114499092, lr = [0.0001] +[2024-06-09 09:36:48,795] - INFO: Evaluate at epoch 2755! +[2024-06-09 09:36:53,219] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 09:36:53,220] - INFO: Eval (with pad) PSNR (current): 38.172 (2755) SSIM (current): 0.9613 (2755) +[2024-06-09 09:36:53,220] - INFO: Evaluation over. +[2024-06-09 09:37:21,556] - INFO: Epoch 2756/9999, Iter 137760: Loss = 0.011817023158073425, lr = [0.0001] +[2024-06-09 09:38:02,009] - INFO: Epoch 2756/9999, Iter 137780: Loss = 0.009578126482665539, lr = [0.0001] +[2024-06-09 09:38:41,635] - INFO: Epoch 2757/9999, Iter 137800: Loss = 0.013907352462410927, lr = [0.0001] +[2024-06-09 09:39:22,882] - INFO: Epoch 2757/9999, Iter 137820: Loss = 0.012416343204677105, lr = [0.0001] +[2024-06-09 09:40:03,499] - INFO: Epoch 2757/9999, Iter 137840: Loss = 0.0135507108643651, lr = [0.0001] +[2024-06-09 09:40:41,863] - INFO: Epoch 2758/9999, Iter 137860: Loss = 0.016790984198451042, lr = [0.0001] +[2024-06-09 09:41:23,036] - INFO: Epoch 2758/9999, Iter 137880: Loss = 0.013737590052187443, lr = [0.0001] +[2024-06-09 09:42:03,716] - INFO: Epoch 2759/9999, Iter 137900: Loss = 0.01033820491284132, lr = [0.0001] +[2024-06-09 09:42:45,329] - INFO: Epoch 2759/9999, Iter 137920: Loss = 0.00614600395783782, lr = [0.0001] +[2024-06-09 09:43:24,137] - INFO: Epoch 2759/9999, Iter 137940: Loss = 0.010390736162662506, lr = [0.0001] +[2024-06-09 09:44:01,496] - INFO: Epoch 2760/9999, Iter 137960: Loss = 0.010569228790700436, lr = [0.0001] +[2024-06-09 09:44:43,255] - INFO: Epoch 2760/9999, Iter 137980: Loss = 0.011928175576031208, lr = [0.0001] +[2024-06-09 09:45:18,876] - INFO: Evaluate at epoch 2760! +[2024-06-09 09:45:23,563] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 09:45:23,563] - INFO: Eval (with pad) PSNR (current): 38.171 (2760) SSIM (current): 0.9613 (2760) +[2024-06-09 09:45:23,563] - INFO: Evaluation over. +[2024-06-09 09:45:29,021] - INFO: Epoch 2761/9999, Iter 138000: Loss = 0.009936555288732052, lr = [0.0001] +[2024-06-09 09:46:11,537] - INFO: Epoch 2761/9999, Iter 138020: Loss = 0.016839994117617607, lr = [0.0001] +[2024-06-09 09:46:51,460] - INFO: Epoch 2761/9999, Iter 138040: Loss = 0.014493811875581741, lr = [0.0001] +[2024-06-09 09:47:30,848] - INFO: Epoch 2762/9999, Iter 138060: Loss = 0.012916882522404194, lr = [0.0001] +[2024-06-09 09:48:12,059] - INFO: Epoch 2762/9999, Iter 138080: Loss = 0.014129245653748512, lr = [0.0001] +[2024-06-09 09:48:52,046] - INFO: Epoch 2763/9999, Iter 138100: Loss = 0.008848370984196663, lr = [0.0001] +[2024-06-09 09:49:31,912] - INFO: Epoch 2763/9999, Iter 138120: Loss = 0.010036502033472061, lr = [0.0001] +[2024-06-09 09:50:12,030] - INFO: Epoch 2763/9999, Iter 138140: Loss = 0.012456769123673439, lr = [0.0001] +[2024-06-09 09:50:53,617] - INFO: Epoch 2764/9999, Iter 138160: Loss = 0.008410914801061153, lr = [0.0001] +[2024-06-09 09:51:33,242] - INFO: Epoch 2764/9999, Iter 138180: Loss = 0.013369289226830006, lr = [0.0001] +[2024-06-09 09:52:12,914] - INFO: Epoch 2765/9999, Iter 138200: Loss = 0.010275525040924549, lr = [0.0001] +[2024-06-09 09:52:53,913] - INFO: Epoch 2765/9999, Iter 138220: Loss = 0.011395315639674664, lr = [0.0001] +[2024-06-09 09:53:33,954] - INFO: Epoch 2765/9999, Iter 138240: Loss = 0.009169407188892365, lr = [0.0001] +[2024-06-09 09:53:50,130] - INFO: Evaluate at epoch 2765! +[2024-06-09 09:53:54,802] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 09:53:54,802] - INFO: Eval (with pad) PSNR (current): 38.165 (2765) SSIM (current): 0.9613 (2765) +[2024-06-09 09:53:54,802] - INFO: Evaluation over. +[2024-06-09 09:54:22,256] - INFO: Epoch 2766/9999, Iter 138260: Loss = 0.012699494138360023, lr = [0.0001] +[2024-06-09 09:55:01,777] - INFO: Epoch 2766/9999, Iter 138280: Loss = 0.009620451368391514, lr = [0.0001] +[2024-06-09 09:55:42,279] - INFO: Epoch 2767/9999, Iter 138300: Loss = 0.012333143502473831, lr = [0.0001] +[2024-06-09 09:56:24,241] - INFO: Epoch 2767/9999, Iter 138320: Loss = 0.009481359273195267, lr = [0.0001] +[2024-06-09 09:57:06,154] - INFO: Epoch 2767/9999, Iter 138340: Loss = 0.012782721780240536, lr = [0.0001] +[2024-06-09 09:57:46,855] - INFO: Epoch 2768/9999, Iter 138360: Loss = 0.011828863993287086, lr = [0.0001] +[2024-06-09 09:58:26,995] - INFO: Epoch 2768/9999, Iter 138380: Loss = 0.009525497443974018, lr = [0.0001] +[2024-06-09 09:59:07,238] - INFO: Epoch 2769/9999, Iter 138400: Loss = 0.009069748222827911, lr = [0.0001] +[2024-06-09 09:59:47,621] - INFO: Epoch 2769/9999, Iter 138420: Loss = 0.010332882404327393, lr = [0.0001] +[2024-06-09 10:00:27,974] - INFO: Epoch 2769/9999, Iter 138440: Loss = 0.010718230158090591, lr = [0.0001] +[2024-06-09 10:01:07,428] - INFO: Epoch 2770/9999, Iter 138460: Loss = 0.01593581773340702, lr = [0.0001] +[2024-06-09 10:01:47,134] - INFO: Epoch 2770/9999, Iter 138480: Loss = 0.012147126719355583, lr = [0.0001] +[2024-06-09 10:02:23,606] - INFO: Evaluate at epoch 2770! +[2024-06-09 10:02:28,063] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 10:02:28,064] - INFO: Eval (with pad) PSNR (current): 38.140 (2770) SSIM (current): 0.9614 (2770) +[2024-06-09 10:02:28,064] - INFO: Evaluation over. +[2024-06-09 10:02:33,493] - INFO: Epoch 2771/9999, Iter 138500: Loss = 0.009098934009671211, lr = [0.0001] +[2024-06-09 10:03:14,761] - INFO: Epoch 2771/9999, Iter 138520: Loss = 0.015910109505057335, lr = [0.0001] +[2024-06-09 10:03:53,628] - INFO: Epoch 2771/9999, Iter 138540: Loss = 0.014736399054527283, lr = [0.0001] +[2024-06-09 10:04:33,690] - INFO: Epoch 2772/9999, Iter 138560: Loss = 0.012841378338634968, lr = [0.0001] +[2024-06-09 10:05:14,248] - INFO: Epoch 2772/9999, Iter 138580: Loss = 0.0170444305986166, lr = [0.0001] +[2024-06-09 10:05:54,614] - INFO: Epoch 2773/9999, Iter 138600: Loss = 0.011299408972263336, lr = [0.0001] +[2024-06-09 10:06:36,187] - INFO: Epoch 2773/9999, Iter 138620: Loss = 0.011753272265195847, lr = [0.0001] +[2024-06-09 10:07:16,595] - INFO: Epoch 2773/9999, Iter 138640: Loss = 0.010607469826936722, lr = [0.0001] +[2024-06-09 10:07:57,379] - INFO: Epoch 2774/9999, Iter 138660: Loss = 0.009565492160618305, lr = [0.0001] +[2024-06-09 10:08:36,779] - INFO: Epoch 2774/9999, Iter 138680: Loss = 0.009340810589492321, lr = [0.0001] +[2024-06-09 10:09:17,743] - INFO: Epoch 2775/9999, Iter 138700: Loss = 0.01889217086136341, lr = [0.0001] +[2024-06-09 10:09:58,775] - INFO: Epoch 2775/9999, Iter 138720: Loss = 0.00978485494852066, lr = [0.0001] +[2024-06-09 10:10:38,664] - INFO: Epoch 2775/9999, Iter 138740: Loss = 0.014843905344605446, lr = [0.0001] +[2024-06-09 10:10:55,108] - INFO: Evaluate at epoch 2775! +[2024-06-09 10:10:59,409] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 10:10:59,410] - INFO: Eval (with pad) PSNR (current): 38.180 (2775) SSIM (current): 0.9614 (2775) +[2024-06-09 10:10:59,410] - INFO: Evaluation over. +[2024-06-09 10:11:25,544] - INFO: Epoch 2776/9999, Iter 138760: Loss = 0.013281409628689289, lr = [0.0001] +[2024-06-09 10:12:05,648] - INFO: Epoch 2776/9999, Iter 138780: Loss = 0.012469105422496796, lr = [0.0001] +[2024-06-09 10:12:44,382] - INFO: Epoch 2777/9999, Iter 138800: Loss = 0.01114536914974451, lr = [0.0001] +[2024-06-09 10:13:26,645] - INFO: Epoch 2777/9999, Iter 138820: Loss = 0.014741291292011738, lr = [0.0001] +[2024-06-09 10:14:07,217] - INFO: Epoch 2777/9999, Iter 138840: Loss = 0.016119638457894325, lr = [0.0001] +[2024-06-09 10:14:48,222] - INFO: Epoch 2778/9999, Iter 138860: Loss = 0.008556487038731575, lr = [0.0001] +[2024-06-09 10:15:28,801] - INFO: Epoch 2778/9999, Iter 138880: Loss = 0.01648636721074581, lr = [0.0001] +[2024-06-09 10:16:07,232] - INFO: Epoch 2779/9999, Iter 138900: Loss = 0.01183642540127039, lr = [0.0001] +[2024-06-09 10:16:49,036] - INFO: Epoch 2779/9999, Iter 138920: Loss = 0.009371609427034855, lr = [0.0001] +[2024-06-09 10:17:28,338] - INFO: Epoch 2779/9999, Iter 138940: Loss = 0.018549246713519096, lr = [0.0001] +[2024-06-09 10:18:09,151] - INFO: Epoch 2780/9999, Iter 138960: Loss = 0.007898673415184021, lr = [0.0001] +[2024-06-09 10:18:48,862] - INFO: Epoch 2780/9999, Iter 138980: Loss = 0.013818331062793732, lr = [0.0001] +[2024-06-09 10:19:23,710] - INFO: Evaluate at epoch 2780! +[2024-06-09 10:19:28,067] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 10:19:28,068] - INFO: Eval (with pad) PSNR (current): 38.163 (2780) SSIM (current): 0.9614 (2780) +[2024-06-09 10:19:28,068] - INFO: Evaluation over. +[2024-06-09 10:19:33,521] - INFO: Epoch 2781/9999, Iter 139000: Loss = 0.0080373240634799, lr = [0.0001] +[2024-06-09 10:20:13,296] - INFO: Epoch 2781/9999, Iter 139020: Loss = 0.011747014708817005, lr = [0.0001] +[2024-06-09 10:20:52,544] - INFO: Epoch 2781/9999, Iter 139040: Loss = 0.014535718597471714, lr = [0.0001] +[2024-06-09 10:21:33,874] - INFO: Epoch 2782/9999, Iter 139060: Loss = 0.01112945843487978, lr = [0.0001] +[2024-06-09 10:22:14,310] - INFO: Epoch 2782/9999, Iter 139080: Loss = 0.010658849030733109, lr = [0.0001] +[2024-06-09 10:22:53,275] - INFO: Epoch 2783/9999, Iter 139100: Loss = 0.012686232104897499, lr = [0.0001] +[2024-06-09 10:23:33,569] - INFO: Epoch 2783/9999, Iter 139120: Loss = 0.014902925118803978, lr = [0.0001] +[2024-06-09 10:24:12,973] - INFO: Epoch 2783/9999, Iter 139140: Loss = 0.009780402295291424, lr = [0.0001] +[2024-06-09 10:24:52,761] - INFO: Epoch 2784/9999, Iter 139160: Loss = 0.008255846798419952, lr = [0.0001] +[2024-06-09 10:25:33,536] - INFO: Epoch 2784/9999, Iter 139180: Loss = 0.012182103469967842, lr = [0.0001] +[2024-06-09 10:26:14,093] - INFO: Epoch 2785/9999, Iter 139200: Loss = 0.015028726309537888, lr = [0.0001] +[2024-06-09 10:26:54,919] - INFO: Epoch 2785/9999, Iter 139220: Loss = 0.013395504094660282, lr = [0.0001] +[2024-06-09 10:27:35,626] - INFO: Epoch 2785/9999, Iter 139240: Loss = 0.009129883721470833, lr = [0.0001] +[2024-06-09 10:27:50,694] - INFO: Evaluate at epoch 2785! +[2024-06-09 10:27:55,045] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 10:27:55,046] - INFO: Eval (with pad) PSNR (current): 38.160 (2785) SSIM (current): 0.9613 (2785) +[2024-06-09 10:27:55,046] - INFO: Evaluation over. +[2024-06-09 10:28:22,010] - INFO: Epoch 2786/9999, Iter 139260: Loss = 0.01077805645763874, lr = [0.0001] +[2024-06-09 10:29:03,005] - INFO: Epoch 2786/9999, Iter 139280: Loss = 0.011595938354730606, lr = [0.0001] +[2024-06-09 10:29:42,566] - INFO: Epoch 2787/9999, Iter 139300: Loss = 0.020756948739290237, lr = [0.0001] +[2024-06-09 10:30:23,677] - INFO: Epoch 2787/9999, Iter 139320: Loss = 0.012339797802269459, lr = [0.0001] +[2024-06-09 10:31:04,487] - INFO: Epoch 2787/9999, Iter 139340: Loss = 0.011406372301280499, lr = [0.0001] +[2024-06-09 10:31:45,211] - INFO: Epoch 2788/9999, Iter 139360: Loss = 0.015053105540573597, lr = [0.0001] +[2024-06-09 10:32:23,318] - INFO: Epoch 2788/9999, Iter 139380: Loss = 0.012426734901964664, lr = [0.0001] +[2024-06-09 10:33:02,733] - INFO: Epoch 2789/9999, Iter 139400: Loss = 0.011565729044377804, lr = [0.0001] +[2024-06-09 10:33:42,685] - INFO: Epoch 2789/9999, Iter 139420: Loss = 0.009280725382268429, lr = [0.0001] +[2024-06-09 10:34:23,312] - INFO: Epoch 2789/9999, Iter 139440: Loss = 0.013247080147266388, lr = [0.0001] +[2024-06-09 10:35:05,209] - INFO: Epoch 2790/9999, Iter 139460: Loss = 0.00846199132502079, lr = [0.0001] +[2024-06-09 10:35:45,676] - INFO: Epoch 2790/9999, Iter 139480: Loss = 0.012631058692932129, lr = [0.0001] +[2024-06-09 10:36:21,553] - INFO: Evaluate at epoch 2790! +[2024-06-09 10:36:25,870] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 10:36:25,870] - INFO: Eval (with pad) PSNR (current): 38.124 (2790) SSIM (current): 0.9614 (2790) +[2024-06-09 10:36:25,871] - INFO: Evaluation over. +[2024-06-09 10:36:31,139] - INFO: Epoch 2791/9999, Iter 139500: Loss = 0.008738447912037373, lr = [0.0001] +[2024-06-09 10:37:12,764] - INFO: Epoch 2791/9999, Iter 139520: Loss = 0.01042739674448967, lr = [0.0001] +[2024-06-09 10:37:54,031] - INFO: Epoch 2791/9999, Iter 139540: Loss = 0.010458116419613361, lr = [0.0001] +[2024-06-09 10:38:34,237] - INFO: Epoch 2792/9999, Iter 139560: Loss = 0.011312015354633331, lr = [0.0001] +[2024-06-09 10:39:13,991] - INFO: Epoch 2792/9999, Iter 139580: Loss = 0.00822193268686533, lr = [0.0001] +[2024-06-09 10:39:54,005] - INFO: Epoch 2793/9999, Iter 139600: Loss = 0.011196627281606197, lr = [0.0001] +[2024-06-09 10:40:34,472] - INFO: Epoch 2793/9999, Iter 139620: Loss = 0.012617247179150581, lr = [0.0001] +[2024-06-09 10:41:14,416] - INFO: Epoch 2793/9999, Iter 139640: Loss = 0.01659860834479332, lr = [0.0001] +[2024-06-09 10:41:54,678] - INFO: Epoch 2794/9999, Iter 139660: Loss = 0.016515322029590607, lr = [0.0001] +[2024-06-09 10:42:35,957] - INFO: Epoch 2794/9999, Iter 139680: Loss = 0.0124974325299263, lr = [0.0001] +[2024-06-09 10:43:15,470] - INFO: Epoch 2795/9999, Iter 139700: Loss = 0.013997660018503666, lr = [0.0001] +[2024-06-09 10:43:58,035] - INFO: Epoch 2795/9999, Iter 139720: Loss = 0.019621288403868675, lr = [0.0001] +[2024-06-09 10:44:36,188] - INFO: Epoch 2795/9999, Iter 139740: Loss = 0.010252770967781544, lr = [0.0001] +[2024-06-09 10:44:52,704] - INFO: Evaluate at epoch 2795! +[2024-06-09 10:44:56,972] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 10:44:56,972] - INFO: Eval (with pad) PSNR (current): 38.054 (2795) SSIM (current): 0.9612 (2795) +[2024-06-09 10:44:56,972] - INFO: Evaluation over. +[2024-06-09 10:45:22,508] - INFO: Epoch 2796/9999, Iter 139760: Loss = 0.013807009905576706, lr = [0.0001] +[2024-06-09 10:46:04,164] - INFO: Epoch 2796/9999, Iter 139780: Loss = 0.014219862408936024, lr = [0.0001] +[2024-06-09 10:46:44,935] - INFO: Epoch 2797/9999, Iter 139800: Loss = 0.016551271080970764, lr = [0.0001] +[2024-06-09 10:47:26,934] - INFO: Epoch 2797/9999, Iter 139820: Loss = 0.00920630432665348, lr = [0.0001] +[2024-06-09 10:48:05,936] - INFO: Epoch 2797/9999, Iter 139840: Loss = 0.018188351765275, lr = [0.0001] +[2024-06-09 10:48:48,285] - INFO: Epoch 2798/9999, Iter 139860: Loss = 0.012950467877089977, lr = [0.0001] +[2024-06-09 10:49:28,208] - INFO: Epoch 2798/9999, Iter 139880: Loss = 0.012852496467530727, lr = [0.0001] +[2024-06-09 10:50:08,449] - INFO: Epoch 2799/9999, Iter 139900: Loss = 0.01201948057860136, lr = [0.0001] +[2024-06-09 10:50:50,583] - INFO: Epoch 2799/9999, Iter 139920: Loss = 0.013147440738976002, lr = [0.0001] +[2024-06-09 10:51:30,651] - INFO: Epoch 2799/9999, Iter 139940: Loss = 0.012238551862537861, lr = [0.0001] +[2024-06-09 10:52:11,002] - INFO: Epoch 2800/9999, Iter 139960: Loss = 0.007915479131042957, lr = [0.0001] +[2024-06-09 10:52:50,549] - INFO: Epoch 2800/9999, Iter 139980: Loss = 0.014356750063598156, lr = [0.0001] +[2024-06-09 10:53:25,857] - INFO: Evaluate at epoch 2800! +[2024-06-09 10:53:30,029] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 10:53:30,030] - INFO: Eval (with pad) PSNR (current): 38.136 (2800) SSIM (current): 0.9614 (2800) +[2024-06-09 10:53:30,030] - INFO: Evaluation over. +[2024-06-09 10:53:35,253] - INFO: Epoch 2801/9999, Iter 140000: Loss = 0.014927385374903679, lr = [0.0001] +[2024-06-09 10:54:16,766] - INFO: Epoch 2801/9999, Iter 140020: Loss = 0.016714610159397125, lr = [0.0001] +[2024-06-09 10:54:57,430] - INFO: Epoch 2801/9999, Iter 140040: Loss = 0.020616574212908745, lr = [0.0001] +[2024-06-09 10:55:39,188] - INFO: Epoch 2802/9999, Iter 140060: Loss = 0.011196978390216827, lr = [0.0001] +[2024-06-09 10:56:18,357] - INFO: Epoch 2802/9999, Iter 140080: Loss = 0.010361183434724808, lr = [0.0001] +[2024-06-09 10:56:57,749] - INFO: Epoch 2803/9999, Iter 140100: Loss = 0.011863790452480316, lr = [0.0001] +[2024-06-09 10:57:39,950] - INFO: Epoch 2803/9999, Iter 140120: Loss = 0.014868943952023983, lr = [0.0001] +[2024-06-09 10:58:19,501] - INFO: Epoch 2803/9999, Iter 140140: Loss = 0.013743871822953224, lr = [0.0001] +[2024-06-09 10:58:59,356] - INFO: Epoch 2804/9999, Iter 140160: Loss = 0.011543266475200653, lr = [0.0001] +[2024-06-09 10:59:40,520] - INFO: Epoch 2804/9999, Iter 140180: Loss = 0.015434790402650833, lr = [0.0001] +[2024-06-09 11:00:21,523] - INFO: Epoch 2805/9999, Iter 140200: Loss = 0.00861239805817604, lr = [0.0001] +[2024-06-09 11:01:03,241] - INFO: Epoch 2805/9999, Iter 140220: Loss = 0.012511059641838074, lr = [0.0001] +[2024-06-09 11:01:43,469] - INFO: Epoch 2805/9999, Iter 140240: Loss = 0.01566443406045437, lr = [0.0001] +[2024-06-09 11:01:59,415] - INFO: Evaluate at epoch 2805! +[2024-06-09 11:02:03,627] - INFO: Eval (with pad) PSNR (max): 38.182 (2670) SSIM (max): 0.9615 (2670) +[2024-06-09 11:02:03,627] - INFO: Eval (with pad) PSNR (current): 38.178 (2805) SSIM (current): 0.9614 (2805) +[2024-06-09 11:02:03,627] - INFO: Evaluation over. +[2024-06-09 11:02:29,854] - INFO: Epoch 2806/9999, Iter 140260: Loss = 0.01177704893052578, lr = [0.0001] +[2024-06-09 11:03:09,819] - INFO: Epoch 2806/9999, Iter 140280: Loss = 0.01862819492816925, lr = [0.0001] +[2024-06-09 11:03:49,770] - INFO: Epoch 2807/9999, Iter 140300: Loss = 0.01287926360964775, lr = [0.0001] +[2024-06-09 11:04:31,046] - INFO: Epoch 2807/9999, Iter 140320: Loss = 0.013977143913507462, lr = [0.0001] +[2024-06-09 11:05:11,039] - INFO: Epoch 2807/9999, Iter 140340: Loss = 0.017796996980905533, lr = [0.0001] +[2024-06-09 11:05:52,959] - INFO: Epoch 2808/9999, Iter 140360: Loss = 0.01056758314371109, lr = [0.0001] +[2024-06-09 11:06:33,678] - INFO: Epoch 2808/9999, Iter 140380: Loss = 0.01115163043141365, lr = [0.0001] +[2024-06-09 11:07:13,966] - INFO: Epoch 2809/9999, Iter 140400: Loss = 0.011172615922987461, lr = [0.0001] +[2024-06-09 11:07:56,352] - INFO: Epoch 2809/9999, Iter 140420: Loss = 0.008791993372142315, lr = [0.0001] +[2024-06-09 11:08:36,720] - INFO: Epoch 2809/9999, Iter 140440: Loss = 0.010012623853981495, lr = [0.0001] +[2024-06-09 11:09:16,712] - INFO: Epoch 2810/9999, Iter 140460: Loss = 0.013834692537784576, lr = [0.0001] +[2024-06-09 11:09:56,264] - INFO: Epoch 2810/9999, Iter 140480: Loss = 0.013138556852936745, lr = [0.0001] +[2024-06-09 11:10:32,988] - INFO: Evaluate at epoch 2810! +[2024-06-09 11:10:38,924] - INFO: Eval (with pad) PSNR (max): 38.187 (2810) SSIM (max): 0.9615 (2670) +[2024-06-09 11:10:38,925] - INFO: Eval (with pad) PSNR (current): 38.187 (2810) SSIM (current): 0.9614 (2810) +[2024-06-09 11:10:38,925] - INFO: Evaluation over. +[2024-06-09 11:10:44,120] - INFO: Epoch 2811/9999, Iter 140500: Loss = 0.01849907450377941, lr = [0.0001] +[2024-06-09 11:11:25,316] - INFO: Epoch 2811/9999, Iter 140520: Loss = 0.01442041341215372, lr = [0.0001] +[2024-06-09 11:12:05,245] - INFO: Epoch 2811/9999, Iter 140540: Loss = 0.011804013513028622, lr = [0.0001] +[2024-06-09 11:12:44,173] - INFO: Epoch 2812/9999, Iter 140560: Loss = 0.015772856771945953, lr = [0.0001] +[2024-06-09 11:13:25,578] - INFO: Epoch 2812/9999, Iter 140580: Loss = 0.009848449379205704, lr = [0.0001] +[2024-06-09 11:14:04,905] - INFO: Epoch 2813/9999, Iter 140600: Loss = 0.011035287752747536, lr = [0.0001] +[2024-06-09 11:14:46,152] - INFO: Epoch 2813/9999, Iter 140620: Loss = 0.009197304025292397, lr = [0.0001] +[2024-06-09 11:15:27,446] - INFO: Epoch 2813/9999, Iter 140640: Loss = 0.008172278292477131, lr = [0.0001] +[2024-06-09 11:16:08,160] - INFO: Epoch 2814/9999, Iter 140660: Loss = 0.016485586762428284, lr = [0.0001] +[2024-06-09 11:16:48,960] - INFO: Epoch 2814/9999, Iter 140680: Loss = 0.01035576406866312, lr = [0.0001] +[2024-06-09 11:17:29,251] - INFO: Epoch 2815/9999, Iter 140700: Loss = 0.012258807197213173, lr = [0.0001] +[2024-06-09 11:18:09,242] - INFO: Epoch 2815/9999, Iter 140720: Loss = 0.01230130810290575, lr = [0.0001] +[2024-06-09 11:18:49,729] - INFO: Epoch 2815/9999, Iter 140740: Loss = 0.010338989086449146, lr = [0.0001] +[2024-06-09 11:19:05,185] - INFO: Evaluate at epoch 2815! +[2024-06-09 11:19:09,374] - INFO: Eval (with pad) PSNR (max): 38.187 (2810) SSIM (max): 0.9615 (2670) +[2024-06-09 11:19:09,374] - INFO: Eval (with pad) PSNR (current): 38.156 (2815) SSIM (current): 0.9613 (2815) +[2024-06-09 11:19:09,374] - INFO: Evaluation over. +[2024-06-09 11:19:33,971] - INFO: Epoch 2816/9999, Iter 140760: Loss = 0.010176878422498703, lr = [0.0001] +[2024-06-09 11:20:15,444] - INFO: Epoch 2816/9999, Iter 140780: Loss = 0.011212875135242939, lr = [0.0001] +[2024-06-09 11:20:56,093] - INFO: Epoch 2817/9999, Iter 140800: Loss = 0.01017377246171236, lr = [0.0001] +[2024-06-09 11:21:35,774] - INFO: Epoch 2817/9999, Iter 140820: Loss = 0.014738588593900204, lr = [0.0001] +[2024-06-09 11:22:15,968] - INFO: Epoch 2817/9999, Iter 140840: Loss = 0.01976168528199196, lr = [0.0001] +[2024-06-09 11:22:56,183] - INFO: Epoch 2818/9999, Iter 140860: Loss = 0.019116925075650215, lr = [0.0001] +[2024-06-09 11:23:36,194] - INFO: Epoch 2818/9999, Iter 140880: Loss = 0.010837167501449585, lr = [0.0001] +[2024-06-09 11:24:15,877] - INFO: Epoch 2819/9999, Iter 140900: Loss = 0.011734128929674625, lr = [0.0001] +[2024-06-09 11:24:58,387] - INFO: Epoch 2819/9999, Iter 140920: Loss = 0.0137566439807415, lr = [0.0001] +[2024-06-09 11:25:37,649] - INFO: Epoch 2819/9999, Iter 140940: Loss = 0.014773712493479252, lr = [0.0001] +[2024-06-09 11:26:19,050] - INFO: Epoch 2820/9999, Iter 140960: Loss = 0.014302567578852177, lr = [0.0001] +[2024-06-09 11:26:58,804] - INFO: Epoch 2820/9999, Iter 140980: Loss = 0.010161026380956173, lr = [0.0001] +[2024-06-09 11:27:34,316] - INFO: Evaluate at epoch 2820! +[2024-06-09 11:27:38,591] - INFO: Eval (with pad) PSNR (max): 38.187 (2810) SSIM (max): 0.9615 (2670) +[2024-06-09 11:27:38,592] - INFO: Eval (with pad) PSNR (current): 38.159 (2820) SSIM (current): 0.9614 (2820) +[2024-06-09 11:27:38,592] - INFO: Evaluation over. +[2024-06-09 11:27:44,165] - INFO: Epoch 2821/9999, Iter 141000: Loss = 0.01083581056445837, lr = [0.0001] +[2024-06-09 11:28:26,197] - INFO: Epoch 2821/9999, Iter 141020: Loss = 0.010864509269595146, lr = [0.0001] +[2024-06-09 11:29:06,329] - INFO: Epoch 2821/9999, Iter 141040: Loss = 0.011154534295201302, lr = [0.0001] +[2024-06-09 11:29:47,219] - INFO: Epoch 2822/9999, Iter 141060: Loss = 0.01587206870317459, lr = [0.0001] +[2024-06-09 11:30:27,415] - INFO: Epoch 2822/9999, Iter 141080: Loss = 0.013419169001281261, lr = [0.0001] +[2024-06-09 11:31:07,556] - INFO: Epoch 2823/9999, Iter 141100: Loss = 0.015588827431201935, lr = [0.0001] +[2024-06-09 11:31:48,739] - INFO: Epoch 2823/9999, Iter 141120: Loss = 0.01868281699717045, lr = [0.0001] +[2024-06-09 11:32:29,463] - INFO: Epoch 2823/9999, Iter 141140: Loss = 0.011046065017580986, lr = [0.0001] +[2024-06-09 11:33:09,236] - INFO: Epoch 2824/9999, Iter 141160: Loss = 0.015527446754276752, lr = [0.0001] +[2024-06-09 11:33:48,737] - INFO: Epoch 2824/9999, Iter 141180: Loss = 0.017085742205381393, lr = [0.0001] +[2024-06-09 11:34:28,472] - INFO: Epoch 2825/9999, Iter 141200: Loss = 0.008044431917369366, lr = [0.0001] +[2024-06-09 11:35:09,585] - INFO: Epoch 2825/9999, Iter 141220: Loss = 0.011579083278775215, lr = [0.0001] +[2024-06-09 11:35:50,163] - INFO: Epoch 2825/9999, Iter 141240: Loss = 0.01496993936598301, lr = [0.0001] +[2024-06-09 11:36:05,670] - INFO: Evaluate at epoch 2825! +[2024-06-09 11:36:09,897] - INFO: Eval (with pad) PSNR (max): 38.187 (2810) SSIM (max): 0.9615 (2670) +[2024-06-09 11:36:09,897] - INFO: Eval (with pad) PSNR (current): 38.127 (2825) SSIM (current): 0.9614 (2825) +[2024-06-09 11:36:09,897] - INFO: Evaluation over. +[2024-06-09 11:36:35,443] - INFO: Epoch 2826/9999, Iter 141260: Loss = 0.0209824051707983, lr = [0.0001] +[2024-06-09 11:37:15,099] - INFO: Epoch 2826/9999, Iter 141280: Loss = 0.011180249974131584, lr = [0.0001] +[2024-06-09 11:37:54,804] - INFO: Epoch 2827/9999, Iter 141300: Loss = 0.012978121638298035, lr = [0.0001] +[2024-06-09 11:38:36,676] - INFO: Epoch 2827/9999, Iter 141320: Loss = 0.01184686180204153, lr = [0.0001] +[2024-06-09 11:39:17,257] - INFO: Epoch 2827/9999, Iter 141340: Loss = 0.011308864690363407, lr = [0.0001] +[2024-06-09 11:39:57,905] - INFO: Epoch 2828/9999, Iter 141360: Loss = 0.012601726688444614, lr = [0.0001] +[2024-06-09 11:40:37,928] - INFO: Epoch 2828/9999, Iter 141380: Loss = 0.007874530740082264, lr = [0.0001] +[2024-06-09 11:41:17,975] - INFO: Epoch 2829/9999, Iter 141400: Loss = 0.009520023129880428, lr = [0.0001] +[2024-06-09 11:41:59,526] - INFO: Epoch 2829/9999, Iter 141420: Loss = 0.014135352335870266, lr = [0.0001] +[2024-06-09 11:42:39,796] - INFO: Epoch 2829/9999, Iter 141440: Loss = 0.011116767302155495, lr = [0.0001] +[2024-06-09 11:43:20,098] - INFO: Epoch 2830/9999, Iter 141460: Loss = 0.012676017358899117, lr = [0.0001] +[2024-06-09 11:44:00,362] - INFO: Epoch 2830/9999, Iter 141480: Loss = 0.014153202064335346, lr = [0.0001] +[2024-06-09 11:44:36,610] - INFO: Evaluate at epoch 2830! +[2024-06-09 11:44:40,857] - INFO: Eval (with pad) PSNR (max): 38.187 (2810) SSIM (max): 0.9615 (2670) +[2024-06-09 11:44:40,858] - INFO: Eval (with pad) PSNR (current): 38.145 (2830) SSIM (current): 0.9614 (2830) +[2024-06-09 11:44:40,858] - INFO: Evaluation over. +[2024-06-09 11:44:46,250] - INFO: Epoch 2831/9999, Iter 141500: Loss = 0.012210545130074024, lr = [0.0001] +[2024-06-09 11:45:25,590] - INFO: Epoch 2831/9999, Iter 141520: Loss = 0.01681234873831272, lr = [0.0001] +[2024-06-09 11:46:06,519] - INFO: Epoch 2831/9999, Iter 141540: Loss = 0.01504465751349926, lr = [0.0001] +[2024-06-09 11:46:47,135] - INFO: Epoch 2832/9999, Iter 141560: Loss = 0.01414142083376646, lr = [0.0001] +[2024-06-09 11:47:27,407] - INFO: Epoch 2832/9999, Iter 141580: Loss = 0.01346022542566061, lr = [0.0001] +[2024-06-09 11:48:06,303] - INFO: Epoch 2833/9999, Iter 141600: Loss = 0.014906272292137146, lr = [0.0001] +[2024-06-09 11:48:48,445] - INFO: Epoch 2833/9999, Iter 141620: Loss = 0.014943650923669338, lr = [0.0001] +[2024-06-09 11:49:26,689] - INFO: Epoch 2833/9999, Iter 141640: Loss = 0.009692543186247349, lr = [0.0001] +[2024-06-09 11:50:08,121] - INFO: Epoch 2834/9999, Iter 141660: Loss = 0.008914833888411522, lr = [0.0001] +[2024-06-09 11:50:47,840] - INFO: Epoch 2834/9999, Iter 141680: Loss = 0.00787653774023056, lr = [0.0001] +[2024-06-09 11:51:27,945] - INFO: Epoch 2835/9999, Iter 141700: Loss = 0.01903505064547062, lr = [0.0001] +[2024-06-09 11:52:10,341] - INFO: Epoch 2835/9999, Iter 141720: Loss = 0.0168867576867342, lr = [0.0001] +[2024-06-09 11:52:51,640] - INFO: Epoch 2835/9999, Iter 141740: Loss = 0.01648792251944542, lr = [0.0001] +[2024-06-09 11:53:08,073] - INFO: Evaluate at epoch 2835! +[2024-06-09 11:53:13,637] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2670) +[2024-06-09 11:53:13,638] - INFO: Eval (with pad) PSNR (current): 38.191 (2835) SSIM (current): 0.9614 (2835) +[2024-06-09 11:53:13,638] - INFO: Evaluation over. +[2024-06-09 11:53:40,491] - INFO: Epoch 2836/9999, Iter 141760: Loss = 0.00885872170329094, lr = [0.0001] +[2024-06-09 11:54:20,424] - INFO: Epoch 2836/9999, Iter 141780: Loss = 0.011236069723963737, lr = [0.0001] +[2024-06-09 11:55:00,732] - INFO: Epoch 2837/9999, Iter 141800: Loss = 0.008572596125304699, lr = [0.0001] +[2024-06-09 11:55:40,551] - INFO: Epoch 2837/9999, Iter 141820: Loss = 0.00942524615675211, lr = [0.0001] +[2024-06-09 11:56:20,828] - INFO: Epoch 2837/9999, Iter 141840: Loss = 0.011396429501473904, lr = [0.0001] +[2024-06-09 11:57:01,481] - INFO: Epoch 2838/9999, Iter 141860: Loss = 0.009757587686181068, lr = [0.0001] +[2024-06-09 11:57:41,396] - INFO: Epoch 2838/9999, Iter 141880: Loss = 0.015419410541653633, lr = [0.0001] +[2024-06-09 11:58:20,791] - INFO: Epoch 2839/9999, Iter 141900: Loss = 0.010385666973888874, lr = [0.0001] +[2024-06-09 11:59:00,322] - INFO: Epoch 2839/9999, Iter 141920: Loss = 0.012723688036203384, lr = [0.0001] +[2024-06-09 11:59:41,311] - INFO: Epoch 2839/9999, Iter 141940: Loss = 0.013146181590855122, lr = [0.0001] +[2024-06-09 12:00:22,488] - INFO: Epoch 2840/9999, Iter 141960: Loss = 0.008450274355709553, lr = [0.0001] +[2024-06-09 12:01:03,477] - INFO: Epoch 2840/9999, Iter 141980: Loss = 0.015218625776469707, lr = [0.0001] +[2024-06-09 12:01:39,543] - INFO: Evaluate at epoch 2840! +[2024-06-09 12:01:44,197] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2670) +[2024-06-09 12:01:44,197] - INFO: Eval (with pad) PSNR (current): 38.184 (2840) SSIM (current): 0.9614 (2840) +[2024-06-09 12:01:44,197] - INFO: Evaluation over. +[2024-06-09 12:01:48,744] - INFO: Epoch 2841/9999, Iter 142000: Loss = 0.012566342949867249, lr = [0.0001] +[2024-06-09 12:02:29,802] - INFO: Epoch 2841/9999, Iter 142020: Loss = 0.014235847629606724, lr = [0.0001] +[2024-06-09 12:03:10,064] - INFO: Epoch 2841/9999, Iter 142040: Loss = 0.009033365175127983, lr = [0.0001] +[2024-06-09 12:03:50,481] - INFO: Epoch 2842/9999, Iter 142060: Loss = 0.013658706098794937, lr = [0.0001] +[2024-06-09 12:04:30,775] - INFO: Epoch 2842/9999, Iter 142080: Loss = 0.014352208934724331, lr = [0.0001] +[2024-06-09 12:05:11,665] - INFO: Epoch 2843/9999, Iter 142100: Loss = 0.013439618051052094, lr = [0.0001] +[2024-06-09 12:05:49,848] - INFO: Epoch 2843/9999, Iter 142120: Loss = 0.01131974346935749, lr = [0.0001] +[2024-06-09 12:06:31,375] - INFO: Epoch 2843/9999, Iter 142140: Loss = 0.01390068233013153, lr = [0.0001] +[2024-06-09 12:07:11,774] - INFO: Epoch 2844/9999, Iter 142160: Loss = 0.016170307993888855, lr = [0.0001] +[2024-06-09 12:07:53,074] - INFO: Epoch 2844/9999, Iter 142180: Loss = 0.01105589885264635, lr = [0.0001] +[2024-06-09 12:08:32,745] - INFO: Epoch 2845/9999, Iter 142200: Loss = 0.010163656435906887, lr = [0.0001] +[2024-06-09 12:09:13,400] - INFO: Epoch 2845/9999, Iter 142220: Loss = 0.020535973832011223, lr = [0.0001] +[2024-06-09 12:09:54,584] - INFO: Epoch 2845/9999, Iter 142240: Loss = 0.009021584875881672, lr = [0.0001] +[2024-06-09 12:10:10,334] - INFO: Evaluate at epoch 2845! +[2024-06-09 12:10:14,682] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2670) +[2024-06-09 12:10:14,682] - INFO: Eval (with pad) PSNR (current): 38.169 (2845) SSIM (current): 0.9614 (2845) +[2024-06-09 12:10:14,682] - INFO: Evaluation over. +[2024-06-09 12:10:40,423] - INFO: Epoch 2846/9999, Iter 142260: Loss = 0.00873700249940157, lr = [0.0001] +[2024-06-09 12:11:21,357] - INFO: Epoch 2846/9999, Iter 142280: Loss = 0.010737762786448002, lr = [0.0001] +[2024-06-09 12:12:00,034] - INFO: Epoch 2847/9999, Iter 142300: Loss = 0.012757142074406147, lr = [0.0001] +[2024-06-09 12:12:42,325] - INFO: Epoch 2847/9999, Iter 142320: Loss = 0.009831512346863747, lr = [0.0001] +[2024-06-09 12:13:22,192] - INFO: Epoch 2847/9999, Iter 142340: Loss = 0.011307521723210812, lr = [0.0001] +[2024-06-09 12:14:02,137] - INFO: Epoch 2848/9999, Iter 142360: Loss = 0.016554269939661026, lr = [0.0001] +[2024-06-09 12:14:42,973] - INFO: Epoch 2848/9999, Iter 142380: Loss = 0.008148250170052052, lr = [0.0001] +[2024-06-09 12:15:23,125] - INFO: Epoch 2849/9999, Iter 142400: Loss = 0.011807058937847614, lr = [0.0001] +[2024-06-09 12:16:04,165] - INFO: Epoch 2849/9999, Iter 142420: Loss = 0.011873594485223293, lr = [0.0001] +[2024-06-09 12:16:44,197] - INFO: Epoch 2849/9999, Iter 142440: Loss = 0.012999325059354305, lr = [0.0001] +[2024-06-09 12:17:22,933] - INFO: Epoch 2850/9999, Iter 142460: Loss = 0.010480308905243874, lr = [0.0001] +[2024-06-09 12:18:03,992] - INFO: Epoch 2850/9999, Iter 142480: Loss = 0.015303736552596092, lr = [0.0001] +[2024-06-09 12:18:39,517] - INFO: Evaluate at epoch 2850! +[2024-06-09 12:18:45,673] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 12:18:45,674] - INFO: Eval (with pad) PSNR (current): 37.999 (2850) SSIM (current): 0.9615 (2850) +[2024-06-09 12:18:45,674] - INFO: Evaluation over. +[2024-06-09 12:18:50,720] - INFO: Epoch 2851/9999, Iter 142500: Loss = 0.010434073396027088, lr = [0.0001] +[2024-06-09 12:19:32,780] - INFO: Epoch 2851/9999, Iter 142520: Loss = 0.01082649827003479, lr = [0.0001] +[2024-06-09 12:20:12,468] - INFO: Epoch 2851/9999, Iter 142540: Loss = 0.010435392148792744, lr = [0.0001] +[2024-06-09 12:20:53,827] - INFO: Epoch 2852/9999, Iter 142560: Loss = 0.015538133680820465, lr = [0.0001] +[2024-06-09 12:21:35,015] - INFO: Epoch 2852/9999, Iter 142580: Loss = 0.012310335412621498, lr = [0.0001] +[2024-06-09 12:22:14,751] - INFO: Epoch 2853/9999, Iter 142600: Loss = 0.01080660242587328, lr = [0.0001] +[2024-06-09 12:22:56,649] - INFO: Epoch 2853/9999, Iter 142620: Loss = 0.010834545828402042, lr = [0.0001] +[2024-06-09 12:23:35,255] - INFO: Epoch 2853/9999, Iter 142640: Loss = 0.0162369292229414, lr = [0.0001] +[2024-06-09 12:24:16,646] - INFO: Epoch 2854/9999, Iter 142660: Loss = 0.014454830437898636, lr = [0.0001] +[2024-06-09 12:24:56,570] - INFO: Epoch 2854/9999, Iter 142680: Loss = 0.014512981288135052, lr = [0.0001] +[2024-06-09 12:25:37,017] - INFO: Epoch 2855/9999, Iter 142700: Loss = 0.012664823792874813, lr = [0.0001] +[2024-06-09 12:26:17,906] - INFO: Epoch 2855/9999, Iter 142720: Loss = 0.012881815433502197, lr = [0.0001] +[2024-06-09 12:26:57,324] - INFO: Epoch 2855/9999, Iter 142740: Loss = 0.01149805262684822, lr = [0.0001] +[2024-06-09 12:27:13,233] - INFO: Evaluate at epoch 2855! +[2024-06-09 12:27:17,594] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 12:27:17,595] - INFO: Eval (with pad) PSNR (current): 38.149 (2855) SSIM (current): 0.9614 (2855) +[2024-06-09 12:27:17,595] - INFO: Evaluation over. +[2024-06-09 12:27:43,308] - INFO: Epoch 2856/9999, Iter 142760: Loss = 0.011133767664432526, lr = [0.0001] +[2024-06-09 12:28:24,385] - INFO: Epoch 2856/9999, Iter 142780: Loss = 0.01010181289166212, lr = [0.0001] +[2024-06-09 12:29:03,627] - INFO: Epoch 2857/9999, Iter 142800: Loss = 0.014683450572192669, lr = [0.0001] +[2024-06-09 12:29:44,850] - INFO: Epoch 2857/9999, Iter 142820: Loss = 0.012664283625781536, lr = [0.0001] +[2024-06-09 12:30:24,521] - INFO: Epoch 2857/9999, Iter 142840: Loss = 0.00855429656803608, lr = [0.0001] +[2024-06-09 12:31:05,088] - INFO: Epoch 2858/9999, Iter 142860: Loss = 0.010668927803635597, lr = [0.0001] +[2024-06-09 12:31:46,305] - INFO: Epoch 2858/9999, Iter 142880: Loss = 0.009398771449923515, lr = [0.0001] +[2024-06-09 12:32:26,152] - INFO: Epoch 2859/9999, Iter 142900: Loss = 0.013523731380701065, lr = [0.0001] +[2024-06-09 12:33:07,819] - INFO: Epoch 2859/9999, Iter 142920: Loss = 0.010211867280304432, lr = [0.0001] +[2024-06-09 12:33:48,644] - INFO: Epoch 2859/9999, Iter 142940: Loss = 0.011052883230149746, lr = [0.0001] +[2024-06-09 12:34:29,247] - INFO: Epoch 2860/9999, Iter 142960: Loss = 0.011393032968044281, lr = [0.0001] +[2024-06-09 12:35:10,068] - INFO: Epoch 2860/9999, Iter 142980: Loss = 0.012653928250074387, lr = [0.0001] +[2024-06-09 12:35:44,863] - INFO: Evaluate at epoch 2860! +[2024-06-09 12:35:49,533] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 12:35:49,534] - INFO: Eval (with pad) PSNR (current): 38.150 (2860) SSIM (current): 0.9613 (2860) +[2024-06-09 12:35:49,534] - INFO: Evaluation over. +[2024-06-09 12:35:55,191] - INFO: Epoch 2861/9999, Iter 143000: Loss = 0.010566337034106255, lr = [0.0001] +[2024-06-09 12:36:35,348] - INFO: Epoch 2861/9999, Iter 143020: Loss = 0.005436939187347889, lr = [0.0001] +[2024-06-09 12:37:16,060] - INFO: Epoch 2861/9999, Iter 143040: Loss = 0.011632103472948074, lr = [0.0001] +[2024-06-09 12:37:56,941] - INFO: Epoch 2862/9999, Iter 143060: Loss = 0.015271089971065521, lr = [0.0001] +[2024-06-09 12:38:36,451] - INFO: Epoch 2862/9999, Iter 143080: Loss = 0.011849761009216309, lr = [0.0001] +[2024-06-09 12:39:15,533] - INFO: Epoch 2863/9999, Iter 143100: Loss = 0.013604659587144852, lr = [0.0001] +[2024-06-09 12:39:57,989] - INFO: Epoch 2863/9999, Iter 143120: Loss = 0.012468146160244942, lr = [0.0001] +[2024-06-09 12:40:37,093] - INFO: Epoch 2863/9999, Iter 143140: Loss = 0.01604471169412136, lr = [0.0001] +[2024-06-09 12:41:17,854] - INFO: Epoch 2864/9999, Iter 143160: Loss = 0.015533393248915672, lr = [0.0001] +[2024-06-09 12:41:57,064] - INFO: Epoch 2864/9999, Iter 143180: Loss = 0.011502985842525959, lr = [0.0001] +[2024-06-09 12:42:37,678] - INFO: Epoch 2865/9999, Iter 143200: Loss = 0.01124589517712593, lr = [0.0001] +[2024-06-09 12:43:18,752] - INFO: Epoch 2865/9999, Iter 143220: Loss = 0.01306114625185728, lr = [0.0001] +[2024-06-09 12:43:59,799] - INFO: Epoch 2865/9999, Iter 143240: Loss = 0.015210283920168877, lr = [0.0001] +[2024-06-09 12:44:16,040] - INFO: Evaluate at epoch 2865! +[2024-06-09 12:44:20,330] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 12:44:20,330] - INFO: Eval (with pad) PSNR (current): 38.189 (2865) SSIM (current): 0.9615 (2865) +[2024-06-09 12:44:20,330] - INFO: Evaluation over. +[2024-06-09 12:44:47,612] - INFO: Epoch 2866/9999, Iter 143260: Loss = 0.008907540701329708, lr = [0.0001] +[2024-06-09 12:45:27,199] - INFO: Epoch 2866/9999, Iter 143280: Loss = 0.01596335507929325, lr = [0.0001] +[2024-06-09 12:46:08,170] - INFO: Epoch 2867/9999, Iter 143300: Loss = 0.016309954226017, lr = [0.0001] +[2024-06-09 12:46:48,310] - INFO: Epoch 2867/9999, Iter 143320: Loss = 0.01379594299942255, lr = [0.0001] +[2024-06-09 12:47:28,076] - INFO: Epoch 2867/9999, Iter 143340: Loss = 0.008431070484220982, lr = [0.0001] +[2024-06-09 12:48:09,204] - INFO: Epoch 2868/9999, Iter 143360: Loss = 0.011627784930169582, lr = [0.0001] +[2024-06-09 12:48:48,612] - INFO: Epoch 2868/9999, Iter 143380: Loss = 0.012949173338711262, lr = [0.0001] +[2024-06-09 12:49:27,326] - INFO: Epoch 2869/9999, Iter 143400: Loss = 0.010838071815669537, lr = [0.0001] +[2024-06-09 12:50:07,133] - INFO: Epoch 2869/9999, Iter 143420: Loss = 0.012798880226910114, lr = [0.0001] +[2024-06-09 12:50:45,989] - INFO: Epoch 2869/9999, Iter 143440: Loss = 0.008497480303049088, lr = [0.0001] +[2024-06-09 12:51:26,610] - INFO: Epoch 2870/9999, Iter 143460: Loss = 0.009033719077706337, lr = [0.0001] +[2024-06-09 12:52:05,848] - INFO: Epoch 2870/9999, Iter 143480: Loss = 0.01285087876021862, lr = [0.0001] +[2024-06-09 12:52:41,413] - INFO: Evaluate at epoch 2870! +[2024-06-09 12:52:45,783] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 12:52:45,783] - INFO: Eval (with pad) PSNR (current): 38.157 (2870) SSIM (current): 0.9613 (2870) +[2024-06-09 12:52:45,784] - INFO: Evaluation over. +[2024-06-09 12:52:51,187] - INFO: Epoch 2871/9999, Iter 143500: Loss = 0.014321485534310341, lr = [0.0001] +[2024-06-09 12:53:33,395] - INFO: Epoch 2871/9999, Iter 143520: Loss = 0.01095106452703476, lr = [0.0001] +[2024-06-09 12:54:12,766] - INFO: Epoch 2871/9999, Iter 143540: Loss = 0.00980839692056179, lr = [0.0001] +[2024-06-09 12:54:53,189] - INFO: Epoch 2872/9999, Iter 143560: Loss = 0.014428405091166496, lr = [0.0001] +[2024-06-09 12:55:33,841] - INFO: Epoch 2872/9999, Iter 143580: Loss = 0.009746992029249668, lr = [0.0001] +[2024-06-09 12:56:13,885] - INFO: Epoch 2873/9999, Iter 143600: Loss = 0.012026186101138592, lr = [0.0001] +[2024-06-09 12:56:54,668] - INFO: Epoch 2873/9999, Iter 143620: Loss = 0.013600146397948265, lr = [0.0001] +[2024-06-09 12:57:34,436] - INFO: Epoch 2873/9999, Iter 143640: Loss = 0.013142901472747326, lr = [0.0001] +[2024-06-09 12:58:15,169] - INFO: Epoch 2874/9999, Iter 143660: Loss = 0.010621829889714718, lr = [0.0001] +[2024-06-09 12:58:55,140] - INFO: Epoch 2874/9999, Iter 143680: Loss = 0.00834653526544571, lr = [0.0001] +[2024-06-09 12:59:34,198] - INFO: Epoch 2875/9999, Iter 143700: Loss = 0.012749278917908669, lr = [0.0001] +[2024-06-09 13:00:14,013] - INFO: Epoch 2875/9999, Iter 143720: Loss = 0.013130507431924343, lr = [0.0001] +[2024-06-09 13:00:54,558] - INFO: Epoch 2875/9999, Iter 143740: Loss = 0.01246252004057169, lr = [0.0001] +[2024-06-09 13:01:10,301] - INFO: Evaluate at epoch 2875! +[2024-06-09 13:01:14,595] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 13:01:14,596] - INFO: Eval (with pad) PSNR (current): 38.126 (2875) SSIM (current): 0.9614 (2875) +[2024-06-09 13:01:14,596] - INFO: Evaluation over. +[2024-06-09 13:01:39,412] - INFO: Epoch 2876/9999, Iter 143760: Loss = 0.010940968990325928, lr = [0.0001] +[2024-06-09 13:02:21,078] - INFO: Epoch 2876/9999, Iter 143780: Loss = 0.01591622456908226, lr = [0.0001] +[2024-06-09 13:03:00,105] - INFO: Epoch 2877/9999, Iter 143800: Loss = 0.010327575728297234, lr = [0.0001] +[2024-06-09 13:03:40,302] - INFO: Epoch 2877/9999, Iter 143820: Loss = 0.011618327349424362, lr = [0.0001] +[2024-06-09 13:04:20,107] - INFO: Epoch 2877/9999, Iter 143840: Loss = 0.006585136521607637, lr = [0.0001] +[2024-06-09 13:04:59,560] - INFO: Epoch 2878/9999, Iter 143860: Loss = 0.010995541699230671, lr = [0.0001] +[2024-06-09 13:05:41,390] - INFO: Epoch 2878/9999, Iter 143880: Loss = 0.01525696087628603, lr = [0.0001] +[2024-06-09 13:06:20,949] - INFO: Epoch 2879/9999, Iter 143900: Loss = 0.013898336328566074, lr = [0.0001] +[2024-06-09 13:07:00,921] - INFO: Epoch 2879/9999, Iter 143920: Loss = 0.010446685366332531, lr = [0.0001] +[2024-06-09 13:07:41,873] - INFO: Epoch 2879/9999, Iter 143940: Loss = 0.01462733093649149, lr = [0.0001] +[2024-06-09 13:08:22,516] - INFO: Epoch 2880/9999, Iter 143960: Loss = 0.011078082956373692, lr = [0.0001] +[2024-06-09 13:09:03,656] - INFO: Epoch 2880/9999, Iter 143980: Loss = 0.010847268626093864, lr = [0.0001] +[2024-06-09 13:09:39,241] - INFO: Evaluate at epoch 2880! +[2024-06-09 13:09:43,463] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 13:09:43,463] - INFO: Eval (with pad) PSNR (current): 38.151 (2880) SSIM (current): 0.9614 (2880) +[2024-06-09 13:09:43,463] - INFO: Evaluation over. +[2024-06-09 13:09:49,301] - INFO: Epoch 2881/9999, Iter 144000: Loss = 0.008692189119756222, lr = [0.0001] +[2024-06-09 13:10:30,832] - INFO: Epoch 2881/9999, Iter 144020: Loss = 0.01286946889013052, lr = [0.0001] +[2024-06-09 13:11:11,808] - INFO: Epoch 2881/9999, Iter 144040: Loss = 0.013027279637753963, lr = [0.0001] +[2024-06-09 13:11:51,883] - INFO: Epoch 2882/9999, Iter 144060: Loss = 0.010510028339922428, lr = [0.0001] +[2024-06-09 13:12:31,798] - INFO: Epoch 2882/9999, Iter 144080: Loss = 0.009276650846004486, lr = [0.0001] +[2024-06-09 13:13:10,832] - INFO: Epoch 2883/9999, Iter 144100: Loss = 0.01155808288604021, lr = [0.0001] +[2024-06-09 13:13:53,180] - INFO: Epoch 2883/9999, Iter 144120: Loss = 0.014017485082149506, lr = [0.0001] +[2024-06-09 13:14:33,228] - INFO: Epoch 2883/9999, Iter 144140: Loss = 0.01300741359591484, lr = [0.0001] +[2024-06-09 13:15:13,917] - INFO: Epoch 2884/9999, Iter 144160: Loss = 0.006310929544270039, lr = [0.0001] +[2024-06-09 13:15:53,810] - INFO: Epoch 2884/9999, Iter 144180: Loss = 0.010885834693908691, lr = [0.0001] +[2024-06-09 13:16:34,293] - INFO: Epoch 2885/9999, Iter 144200: Loss = 0.011878849938511848, lr = [0.0001] +[2024-06-09 13:17:16,052] - INFO: Epoch 2885/9999, Iter 144220: Loss = 0.010442841798067093, lr = [0.0001] +[2024-06-09 13:17:57,022] - INFO: Epoch 2885/9999, Iter 144240: Loss = 0.014099083840847015, lr = [0.0001] +[2024-06-09 13:18:12,345] - INFO: Evaluate at epoch 2885! +[2024-06-09 13:18:16,589] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 13:18:16,589] - INFO: Eval (with pad) PSNR (current): 38.134 (2885) SSIM (current): 0.9614 (2885) +[2024-06-09 13:18:16,589] - INFO: Evaluation over. +[2024-06-09 13:18:43,170] - INFO: Epoch 2886/9999, Iter 144260: Loss = 0.010118774138391018, lr = [0.0001] +[2024-06-09 13:19:25,110] - INFO: Epoch 2886/9999, Iter 144280: Loss = 0.01627313531935215, lr = [0.0001] +[2024-06-09 13:20:04,294] - INFO: Epoch 2887/9999, Iter 144300: Loss = 0.011008591391146183, lr = [0.0001] +[2024-06-09 13:20:45,094] - INFO: Epoch 2887/9999, Iter 144320: Loss = 0.011828048154711723, lr = [0.0001] +[2024-06-09 13:21:25,089] - INFO: Epoch 2887/9999, Iter 144340: Loss = 0.011348624713718891, lr = [0.0001] +[2024-06-09 13:22:05,608] - INFO: Epoch 2888/9999, Iter 144360: Loss = 0.008457017131149769, lr = [0.0001] +[2024-06-09 13:22:44,787] - INFO: Epoch 2888/9999, Iter 144380: Loss = 0.010484812781214714, lr = [0.0001] +[2024-06-09 13:23:23,465] - INFO: Epoch 2889/9999, Iter 144400: Loss = 0.012855728156864643, lr = [0.0001] +[2024-06-09 13:24:04,502] - INFO: Epoch 2889/9999, Iter 144420: Loss = 0.015225602313876152, lr = [0.0001] +[2024-06-09 13:24:43,959] - INFO: Epoch 2889/9999, Iter 144440: Loss = 0.008619092404842377, lr = [0.0001] +[2024-06-09 13:25:24,576] - INFO: Epoch 2890/9999, Iter 144460: Loss = 0.014891218394041061, lr = [0.0001] +[2024-06-09 13:26:05,187] - INFO: Epoch 2890/9999, Iter 144480: Loss = 0.015150000341236591, lr = [0.0001] +[2024-06-09 13:26:41,543] - INFO: Evaluate at epoch 2890! +[2024-06-09 13:26:45,826] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 13:26:45,826] - INFO: Eval (with pad) PSNR (current): 38.146 (2890) SSIM (current): 0.9614 (2890) +[2024-06-09 13:26:45,826] - INFO: Evaluation over. +[2024-06-09 13:26:51,417] - INFO: Epoch 2891/9999, Iter 144500: Loss = 0.009942961856722832, lr = [0.0001] +[2024-06-09 13:27:32,738] - INFO: Epoch 2891/9999, Iter 144520: Loss = 0.012178510427474976, lr = [0.0001] +[2024-06-09 13:28:12,368] - INFO: Epoch 2891/9999, Iter 144540: Loss = 0.014567223377525806, lr = [0.0001] +[2024-06-09 13:28:53,240] - INFO: Epoch 2892/9999, Iter 144560: Loss = 0.01228361763060093, lr = [0.0001] +[2024-06-09 13:29:33,632] - INFO: Epoch 2892/9999, Iter 144580: Loss = 0.013148115947842598, lr = [0.0001] +[2024-06-09 13:30:12,808] - INFO: Epoch 2893/9999, Iter 144600: Loss = 0.009839702397584915, lr = [0.0001] +[2024-06-09 13:30:54,734] - INFO: Epoch 2893/9999, Iter 144620: Loss = 0.018321122974157333, lr = [0.0001] +[2024-06-09 13:31:34,736] - INFO: Epoch 2893/9999, Iter 144640: Loss = 0.013045388273894787, lr = [0.0001] +[2024-06-09 13:32:15,194] - INFO: Epoch 2894/9999, Iter 144660: Loss = 0.01626536063849926, lr = [0.0001] +[2024-06-09 13:32:55,397] - INFO: Epoch 2894/9999, Iter 144680: Loss = 0.008072339929640293, lr = [0.0001] +[2024-06-09 13:33:35,702] - INFO: Epoch 2895/9999, Iter 144700: Loss = 0.012041829526424408, lr = [0.0001] +[2024-06-09 13:34:17,293] - INFO: Epoch 2895/9999, Iter 144720: Loss = 0.011574135161936283, lr = [0.0001] +[2024-06-09 13:34:58,026] - INFO: Epoch 2895/9999, Iter 144740: Loss = 0.017006896436214447, lr = [0.0001] +[2024-06-09 13:35:14,051] - INFO: Evaluate at epoch 2895! +[2024-06-09 13:35:18,423] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 13:35:18,423] - INFO: Eval (with pad) PSNR (current): 38.165 (2895) SSIM (current): 0.9614 (2895) +[2024-06-09 13:35:18,423] - INFO: Evaluation over. +[2024-06-09 13:35:44,456] - INFO: Epoch 2896/9999, Iter 144760: Loss = 0.011092115193605423, lr = [0.0001] +[2024-06-09 13:36:24,227] - INFO: Epoch 2896/9999, Iter 144780: Loss = 0.01465502381324768, lr = [0.0001] +[2024-06-09 13:37:03,572] - INFO: Epoch 2897/9999, Iter 144800: Loss = 0.014842127449810505, lr = [0.0001] +[2024-06-09 13:37:44,825] - INFO: Epoch 2897/9999, Iter 144820: Loss = 0.010741052217781544, lr = [0.0001] +[2024-06-09 13:38:24,982] - INFO: Epoch 2897/9999, Iter 144840: Loss = 0.010392752476036549, lr = [0.0001] +[2024-06-09 13:39:05,911] - INFO: Epoch 2898/9999, Iter 144860: Loss = 0.01064971461892128, lr = [0.0001] +[2024-06-09 13:39:45,781] - INFO: Epoch 2898/9999, Iter 144880: Loss = 0.013025720603764057, lr = [0.0001] +[2024-06-09 13:40:25,608] - INFO: Epoch 2899/9999, Iter 144900: Loss = 0.015643641352653503, lr = [0.0001] +[2024-06-09 13:41:05,039] - INFO: Epoch 2899/9999, Iter 144920: Loss = 0.013337528333067894, lr = [0.0001] +[2024-06-09 13:41:44,399] - INFO: Epoch 2899/9999, Iter 144940: Loss = 0.012815852649509907, lr = [0.0001] +[2024-06-09 13:42:25,802] - INFO: Epoch 2900/9999, Iter 144960: Loss = 0.01136854849755764, lr = [0.0001] +[2024-06-09 13:43:06,779] - INFO: Epoch 2900/9999, Iter 144980: Loss = 0.014012833125889301, lr = [0.0001] +[2024-06-09 13:43:42,247] - INFO: Evaluate at epoch 2900! +[2024-06-09 13:43:46,409] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 13:43:46,409] - INFO: Eval (with pad) PSNR (current): 38.172 (2900) SSIM (current): 0.9614 (2900) +[2024-06-09 13:43:46,409] - INFO: Evaluation over. +[2024-06-09 13:43:52,051] - INFO: Epoch 2901/9999, Iter 145000: Loss = 0.0151702044531703, lr = [0.0001] +[2024-06-09 13:44:32,336] - INFO: Epoch 2901/9999, Iter 145020: Loss = 0.016302403062582016, lr = [0.0001] +[2024-06-09 13:45:12,774] - INFO: Epoch 2901/9999, Iter 145040: Loss = 0.006735671311616898, lr = [0.0001] +[2024-06-09 13:45:52,010] - INFO: Epoch 2902/9999, Iter 145060: Loss = 0.009841330349445343, lr = [0.0001] +[2024-06-09 13:46:31,872] - INFO: Epoch 2902/9999, Iter 145080: Loss = 0.010895568877458572, lr = [0.0001] +[2024-06-09 13:47:12,224] - INFO: Epoch 2903/9999, Iter 145100: Loss = 0.012198406271636486, lr = [0.0001] +[2024-06-09 13:47:53,389] - INFO: Epoch 2903/9999, Iter 145120: Loss = 0.010345672257244587, lr = [0.0001] +[2024-06-09 13:48:34,023] - INFO: Epoch 2903/9999, Iter 145140: Loss = 0.011288397945463657, lr = [0.0001] +[2024-06-09 13:49:14,109] - INFO: Epoch 2904/9999, Iter 145160: Loss = 0.009523928165435791, lr = [0.0001] +[2024-06-09 13:49:54,720] - INFO: Epoch 2904/9999, Iter 145180: Loss = 0.011396615765988827, lr = [0.0001] +[2024-06-09 13:50:34,088] - INFO: Epoch 2905/9999, Iter 145200: Loss = 0.01448809914290905, lr = [0.0001] +[2024-06-09 13:51:15,596] - INFO: Epoch 2905/9999, Iter 145220: Loss = 0.012043661437928677, lr = [0.0001] +[2024-06-09 13:51:56,947] - INFO: Epoch 2905/9999, Iter 145240: Loss = 0.01444010529667139, lr = [0.0001] +[2024-06-09 13:52:12,567] - INFO: Evaluate at epoch 2905! +[2024-06-09 13:52:16,842] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 13:52:16,842] - INFO: Eval (with pad) PSNR (current): 38.184 (2905) SSIM (current): 0.9614 (2905) +[2024-06-09 13:52:16,842] - INFO: Evaluation over. +[2024-06-09 13:52:42,527] - INFO: Epoch 2906/9999, Iter 145260: Loss = 0.01245727576315403, lr = [0.0001] +[2024-06-09 13:53:23,434] - INFO: Epoch 2906/9999, Iter 145280: Loss = 0.018747495487332344, lr = [0.0001] +[2024-06-09 13:54:03,114] - INFO: Epoch 2907/9999, Iter 145300: Loss = 0.009548403322696686, lr = [0.0001] +[2024-06-09 13:54:46,423] - INFO: Epoch 2907/9999, Iter 145320: Loss = 0.011413322761654854, lr = [0.0001] +[2024-06-09 13:55:26,980] - INFO: Epoch 2907/9999, Iter 145340: Loss = 0.011782900430262089, lr = [0.0001] +[2024-06-09 13:56:08,393] - INFO: Epoch 2908/9999, Iter 145360: Loss = 0.011464004404842854, lr = [0.0001] +[2024-06-09 13:56:49,153] - INFO: Epoch 2908/9999, Iter 145380: Loss = 0.011091348715126514, lr = [0.0001] +[2024-06-09 13:57:28,236] - INFO: Epoch 2909/9999, Iter 145400: Loss = 0.012463442981243134, lr = [0.0001] +[2024-06-09 13:58:10,334] - INFO: Epoch 2909/9999, Iter 145420: Loss = 0.010640616528689861, lr = [0.0001] +[2024-06-09 13:58:50,354] - INFO: Epoch 2909/9999, Iter 145440: Loss = 0.012368820607662201, lr = [0.0001] +[2024-06-09 13:59:30,699] - INFO: Epoch 2910/9999, Iter 145460: Loss = 0.008181224577128887, lr = [0.0001] +[2024-06-09 14:00:12,239] - INFO: Epoch 2910/9999, Iter 145480: Loss = 0.010653557255864143, lr = [0.0001] +[2024-06-09 14:00:47,966] - INFO: Evaluate at epoch 2910! +[2024-06-09 14:00:52,259] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 14:00:52,259] - INFO: Eval (with pad) PSNR (current): 38.191 (2910) SSIM (current): 0.9613 (2910) +[2024-06-09 14:00:52,259] - INFO: Evaluation over. +[2024-06-09 14:00:58,386] - INFO: Epoch 2911/9999, Iter 145500: Loss = 0.012832718901336193, lr = [0.0001] +[2024-06-09 14:01:39,463] - INFO: Epoch 2911/9999, Iter 145520: Loss = 0.012049607001245022, lr = [0.0001] +[2024-06-09 14:02:17,407] - INFO: Epoch 2911/9999, Iter 145540: Loss = 0.01016127597540617, lr = [0.0001] +[2024-06-09 14:02:59,438] - INFO: Epoch 2912/9999, Iter 145560: Loss = 0.015098766423761845, lr = [0.0001] +[2024-06-09 14:03:39,733] - INFO: Epoch 2912/9999, Iter 145580: Loss = 0.01052644569426775, lr = [0.0001] +[2024-06-09 14:04:19,676] - INFO: Epoch 2913/9999, Iter 145600: Loss = 0.008940648287534714, lr = [0.0001] +[2024-06-09 14:05:02,034] - INFO: Epoch 2913/9999, Iter 145620: Loss = 0.014781950041651726, lr = [0.0001] +[2024-06-09 14:05:41,961] - INFO: Epoch 2913/9999, Iter 145640: Loss = 0.0074507142417132854, lr = [0.0001] +[2024-06-09 14:06:22,897] - INFO: Epoch 2914/9999, Iter 145660: Loss = 0.013795673847198486, lr = [0.0001] +[2024-06-09 14:07:03,501] - INFO: Epoch 2914/9999, Iter 145680: Loss = 0.01176953874528408, lr = [0.0001] +[2024-06-09 14:07:43,683] - INFO: Epoch 2915/9999, Iter 145700: Loss = 0.009135974571108818, lr = [0.0001] +[2024-06-09 14:08:25,778] - INFO: Epoch 2915/9999, Iter 145720: Loss = 0.0077992952428758144, lr = [0.0001] +[2024-06-09 14:09:05,740] - INFO: Epoch 2915/9999, Iter 145740: Loss = 0.012598119676113129, lr = [0.0001] +[2024-06-09 14:09:21,863] - INFO: Evaluate at epoch 2915! +[2024-06-09 14:09:26,279] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 14:09:26,279] - INFO: Eval (with pad) PSNR (current): 38.141 (2915) SSIM (current): 0.9612 (2915) +[2024-06-09 14:09:26,279] - INFO: Evaluation over. +[2024-06-09 14:09:52,469] - INFO: Epoch 2916/9999, Iter 145760: Loss = 0.009919645264744759, lr = [0.0001] +[2024-06-09 14:10:33,782] - INFO: Epoch 2916/9999, Iter 145780: Loss = 0.012254001572728157, lr = [0.0001] +[2024-06-09 14:11:12,976] - INFO: Epoch 2917/9999, Iter 145800: Loss = 0.018194515258073807, lr = [0.0001] +[2024-06-09 14:11:54,732] - INFO: Epoch 2917/9999, Iter 145820: Loss = 0.010039864107966423, lr = [0.0001] +[2024-06-09 14:12:33,746] - INFO: Epoch 2917/9999, Iter 145840: Loss = 0.010111762210726738, lr = [0.0001] +[2024-06-09 14:13:10,872] - INFO: Epoch 2918/9999, Iter 145860: Loss = 0.01380031555891037, lr = [0.0001] +[2024-06-09 14:13:51,056] - INFO: Epoch 2918/9999, Iter 145880: Loss = 0.011320412158966064, lr = [0.0001] +[2024-06-09 14:14:29,731] - INFO: Epoch 2919/9999, Iter 145900: Loss = 0.013284863904118538, lr = [0.0001] +[2024-06-09 14:15:10,747] - INFO: Epoch 2919/9999, Iter 145920: Loss = 0.012090121395885944, lr = [0.0001] +[2024-06-09 14:15:49,562] - INFO: Epoch 2919/9999, Iter 145940: Loss = 0.012020484544336796, lr = [0.0001] +[2024-06-09 14:16:31,552] - INFO: Epoch 2920/9999, Iter 145960: Loss = 0.015265603549778461, lr = [0.0001] +[2024-06-09 14:17:09,641] - INFO: Epoch 2920/9999, Iter 145980: Loss = 0.016321668401360512, lr = [0.0001] +[2024-06-09 14:17:44,775] - INFO: Evaluate at epoch 2920! +[2024-06-09 14:17:49,138] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 14:17:49,138] - INFO: Eval (with pad) PSNR (current): 38.178 (2920) SSIM (current): 0.9614 (2920) +[2024-06-09 14:17:49,138] - INFO: Evaluation over. +[2024-06-09 14:17:54,426] - INFO: Epoch 2921/9999, Iter 146000: Loss = 0.018549606204032898, lr = [0.0001] +[2024-06-09 14:18:33,569] - INFO: Epoch 2921/9999, Iter 146020: Loss = 0.019436322152614594, lr = [0.0001] +[2024-06-09 14:19:13,640] - INFO: Epoch 2921/9999, Iter 146040: Loss = 0.01190516073256731, lr = [0.0001] +[2024-06-09 14:19:54,430] - INFO: Epoch 2922/9999, Iter 146060: Loss = 0.014770887792110443, lr = [0.0001] +[2024-06-09 14:20:35,272] - INFO: Epoch 2922/9999, Iter 146080: Loss = 0.01071353442966938, lr = [0.0001] +[2024-06-09 14:21:14,974] - INFO: Epoch 2923/9999, Iter 146100: Loss = 0.010170571506023407, lr = [0.0001] +[2024-06-09 14:21:54,877] - INFO: Epoch 2923/9999, Iter 146120: Loss = 0.01220732368528843, lr = [0.0001] +[2024-06-09 14:22:33,772] - INFO: Epoch 2923/9999, Iter 146140: Loss = 0.017504915595054626, lr = [0.0001] +[2024-06-09 14:23:15,128] - INFO: Epoch 2924/9999, Iter 146160: Loss = 0.011085589416325092, lr = [0.0001] +[2024-06-09 14:23:54,711] - INFO: Epoch 2924/9999, Iter 146180: Loss = 0.009544788859784603, lr = [0.0001] +[2024-06-09 14:24:33,192] - INFO: Epoch 2925/9999, Iter 146200: Loss = 0.012623751536011696, lr = [0.0001] +[2024-06-09 14:25:13,735] - INFO: Epoch 2925/9999, Iter 146220: Loss = 0.011171529069542885, lr = [0.0001] +[2024-06-09 14:25:52,144] - INFO: Epoch 2925/9999, Iter 146240: Loss = 0.012271558865904808, lr = [0.0001] +[2024-06-09 14:26:07,834] - INFO: Evaluate at epoch 2925! +[2024-06-09 14:26:12,491] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 14:26:12,491] - INFO: Eval (with pad) PSNR (current): 38.106 (2925) SSIM (current): 0.9613 (2925) +[2024-06-09 14:26:12,491] - INFO: Evaluation over. +[2024-06-09 14:26:39,547] - INFO: Epoch 2926/9999, Iter 146260: Loss = 0.009771966375410557, lr = [0.0001] +[2024-06-09 14:27:18,757] - INFO: Epoch 2926/9999, Iter 146280: Loss = 0.013272926211357117, lr = [0.0001] +[2024-06-09 14:27:58,203] - INFO: Epoch 2927/9999, Iter 146300: Loss = 0.013671638444066048, lr = [0.0001] +[2024-06-09 14:28:39,099] - INFO: Epoch 2927/9999, Iter 146320: Loss = 0.014989413321018219, lr = [0.0001] +[2024-06-09 14:29:20,085] - INFO: Epoch 2927/9999, Iter 146340: Loss = 0.014222298748791218, lr = [0.0001] +[2024-06-09 14:29:59,920] - INFO: Epoch 2928/9999, Iter 146360: Loss = 0.015259877778589725, lr = [0.0001] +[2024-06-09 14:30:39,543] - INFO: Epoch 2928/9999, Iter 146380: Loss = 0.011751927435398102, lr = [0.0001] +[2024-06-09 14:31:18,793] - INFO: Epoch 2929/9999, Iter 146400: Loss = 0.013500343076884747, lr = [0.0001] +[2024-06-09 14:31:58,869] - INFO: Epoch 2929/9999, Iter 146420: Loss = 0.011659926734864712, lr = [0.0001] +[2024-06-09 14:32:38,508] - INFO: Epoch 2929/9999, Iter 146440: Loss = 0.013668172992765903, lr = [0.0001] +[2024-06-09 14:33:19,343] - INFO: Epoch 2930/9999, Iter 146460: Loss = 0.009174423292279243, lr = [0.0001] +[2024-06-09 14:33:57,375] - INFO: Epoch 2930/9999, Iter 146480: Loss = 0.010963539592921734, lr = [0.0001] +[2024-06-09 14:34:34,170] - INFO: Evaluate at epoch 2930! +[2024-06-09 14:34:38,446] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 14:34:38,446] - INFO: Eval (with pad) PSNR (current): 38.150 (2930) SSIM (current): 0.9613 (2930) +[2024-06-09 14:34:38,447] - INFO: Evaluation over. +[2024-06-09 14:34:44,305] - INFO: Epoch 2931/9999, Iter 146500: Loss = 0.010592315346002579, lr = [0.0001] +[2024-06-09 14:35:25,374] - INFO: Epoch 2931/9999, Iter 146520: Loss = 0.017416633665561676, lr = [0.0001] +[2024-06-09 14:36:05,353] - INFO: Epoch 2931/9999, Iter 146540: Loss = 0.010323957540094852, lr = [0.0001] +[2024-06-09 14:36:45,566] - INFO: Epoch 2932/9999, Iter 146560: Loss = 0.012885019183158875, lr = [0.0001] +[2024-06-09 14:37:27,159] - INFO: Epoch 2932/9999, Iter 146580: Loss = 0.009283948689699173, lr = [0.0001] +[2024-06-09 14:38:04,969] - INFO: Epoch 2933/9999, Iter 146600: Loss = 0.012968153692781925, lr = [0.0001] +[2024-06-09 14:38:45,687] - INFO: Epoch 2933/9999, Iter 146620: Loss = 0.011703385040163994, lr = [0.0001] +[2024-06-09 14:39:26,165] - INFO: Epoch 2933/9999, Iter 146640: Loss = 0.013779870234429836, lr = [0.0001] +[2024-06-09 14:40:06,391] - INFO: Epoch 2934/9999, Iter 146660: Loss = 0.01644476130604744, lr = [0.0001] +[2024-06-09 14:40:46,764] - INFO: Epoch 2934/9999, Iter 146680: Loss = 0.011236624792218208, lr = [0.0001] +[2024-06-09 14:41:26,670] - INFO: Epoch 2935/9999, Iter 146700: Loss = 0.015598000958561897, lr = [0.0001] +[2024-06-09 14:42:08,224] - INFO: Epoch 2935/9999, Iter 146720: Loss = 0.014804983511567116, lr = [0.0001] +[2024-06-09 14:42:47,964] - INFO: Epoch 2935/9999, Iter 146740: Loss = 0.009292728267610073, lr = [0.0001] +[2024-06-09 14:43:04,141] - INFO: Evaluate at epoch 2935! +[2024-06-09 14:43:08,504] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 14:43:08,504] - INFO: Eval (with pad) PSNR (current): 38.144 (2935) SSIM (current): 0.9613 (2935) +[2024-06-09 14:43:08,504] - INFO: Evaluation over. +[2024-06-09 14:43:35,249] - INFO: Epoch 2936/9999, Iter 146760: Loss = 0.011285493150353432, lr = [0.0001] +[2024-06-09 14:44:15,802] - INFO: Epoch 2936/9999, Iter 146780: Loss = 0.008454383350908756, lr = [0.0001] +[2024-06-09 14:44:55,674] - INFO: Epoch 2937/9999, Iter 146800: Loss = 0.007858303375542164, lr = [0.0001] +[2024-06-09 14:45:37,762] - INFO: Epoch 2937/9999, Iter 146820: Loss = 0.009810872375965118, lr = [0.0001] +[2024-06-09 14:46:17,030] - INFO: Epoch 2937/9999, Iter 146840: Loss = 0.018619824200868607, lr = [0.0001] +[2024-06-09 14:46:55,194] - INFO: Epoch 2938/9999, Iter 146860: Loss = 0.013300945051014423, lr = [0.0001] +[2024-06-09 14:47:34,524] - INFO: Epoch 2938/9999, Iter 146880: Loss = 0.0134697575122118, lr = [0.0001] +[2024-06-09 14:48:13,016] - INFO: Epoch 2939/9999, Iter 146900: Loss = 0.01131528802216053, lr = [0.0001] +[2024-06-09 14:48:55,331] - INFO: Epoch 2939/9999, Iter 146920: Loss = 0.011298437602818012, lr = [0.0001] +[2024-06-09 14:49:36,019] - INFO: Epoch 2939/9999, Iter 146940: Loss = 0.011704502627253532, lr = [0.0001] +[2024-06-09 14:50:14,867] - INFO: Epoch 2940/9999, Iter 146960: Loss = 0.012831251136958599, lr = [0.0001] +[2024-06-09 14:50:57,422] - INFO: Epoch 2940/9999, Iter 146980: Loss = 0.012277809903025627, lr = [0.0001] +[2024-06-09 14:51:33,066] - INFO: Evaluate at epoch 2940! +[2024-06-09 14:51:37,379] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 14:51:37,379] - INFO: Eval (with pad) PSNR (current): 38.173 (2940) SSIM (current): 0.9614 (2940) +[2024-06-09 14:51:37,379] - INFO: Evaluation over. +[2024-06-09 14:51:42,389] - INFO: Epoch 2941/9999, Iter 147000: Loss = 0.012491977773606777, lr = [0.0001] +[2024-06-09 14:52:23,256] - INFO: Epoch 2941/9999, Iter 147020: Loss = 0.015389746055006981, lr = [0.0001] +[2024-06-09 14:53:02,781] - INFO: Epoch 2941/9999, Iter 147040: Loss = 0.009813052602112293, lr = [0.0001] +[2024-06-09 14:53:44,155] - INFO: Epoch 2942/9999, Iter 147060: Loss = 0.012404415756464005, lr = [0.0001] +[2024-06-09 14:54:24,054] - INFO: Epoch 2942/9999, Iter 147080: Loss = 0.018217602744698524, lr = [0.0001] +[2024-06-09 14:55:02,222] - INFO: Epoch 2943/9999, Iter 147100: Loss = 0.014331703074276447, lr = [0.0001] +[2024-06-09 14:55:43,303] - INFO: Epoch 2943/9999, Iter 147120: Loss = 0.011629171669483185, lr = [0.0001] +[2024-06-09 14:56:22,720] - INFO: Epoch 2943/9999, Iter 147140: Loss = 0.01456323079764843, lr = [0.0001] +[2024-06-09 14:57:01,494] - INFO: Epoch 2944/9999, Iter 147160: Loss = 0.01413892861455679, lr = [0.0001] +[2024-06-09 14:57:42,092] - INFO: Epoch 2944/9999, Iter 147180: Loss = 0.011838175356388092, lr = [0.0001] +[2024-06-09 14:58:22,013] - INFO: Epoch 2945/9999, Iter 147200: Loss = 0.013103500008583069, lr = [0.0001] +[2024-06-09 14:59:03,090] - INFO: Epoch 2945/9999, Iter 147220: Loss = 0.011622658930718899, lr = [0.0001] +[2024-06-09 14:59:43,215] - INFO: Epoch 2945/9999, Iter 147240: Loss = 0.01254041213542223, lr = [0.0001] +[2024-06-09 14:59:59,048] - INFO: Evaluate at epoch 2945! +[2024-06-09 15:00:03,427] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 15:00:03,428] - INFO: Eval (with pad) PSNR (current): 38.180 (2945) SSIM (current): 0.9615 (2945) +[2024-06-09 15:00:03,428] - INFO: Evaluation over. +[2024-06-09 15:00:28,666] - INFO: Epoch 2946/9999, Iter 147260: Loss = 0.011489911004900932, lr = [0.0001] +[2024-06-09 15:01:08,274] - INFO: Epoch 2946/9999, Iter 147280: Loss = 0.01083639170974493, lr = [0.0001] +[2024-06-09 15:01:48,300] - INFO: Epoch 2947/9999, Iter 147300: Loss = 0.012509705498814583, lr = [0.0001] +[2024-06-09 15:02:27,924] - INFO: Epoch 2947/9999, Iter 147320: Loss = 0.006904213689267635, lr = [0.0001] +[2024-06-09 15:03:08,519] - INFO: Epoch 2947/9999, Iter 147340: Loss = 0.013332025147974491, lr = [0.0001] +[2024-06-09 15:03:49,935] - INFO: Epoch 2948/9999, Iter 147360: Loss = 0.011437302455306053, lr = [0.0001] +[2024-06-09 15:04:30,344] - INFO: Epoch 2948/9999, Iter 147380: Loss = 0.007515231613069773, lr = [0.0001] +[2024-06-09 15:05:10,411] - INFO: Epoch 2949/9999, Iter 147400: Loss = 0.012083657085895538, lr = [0.0001] +[2024-06-09 15:05:52,195] - INFO: Epoch 2949/9999, Iter 147420: Loss = 0.01272889319807291, lr = [0.0001] +[2024-06-09 15:06:32,398] - INFO: Epoch 2949/9999, Iter 147440: Loss = 0.013346430845558643, lr = [0.0001] +[2024-06-09 15:07:13,028] - INFO: Epoch 2950/9999, Iter 147460: Loss = 0.01767979934811592, lr = [0.0001] +[2024-06-09 15:07:51,843] - INFO: Epoch 2950/9999, Iter 147480: Loss = 0.016068216413259506, lr = [0.0001] +[2024-06-09 15:08:27,269] - INFO: Evaluate at epoch 2950! +[2024-06-09 15:08:31,694] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 15:08:31,695] - INFO: Eval (with pad) PSNR (current): 38.152 (2950) SSIM (current): 0.9614 (2950) +[2024-06-09 15:08:31,695] - INFO: Evaluation over. +[2024-06-09 15:08:37,059] - INFO: Epoch 2951/9999, Iter 147500: Loss = 0.016012905165553093, lr = [0.0001] +[2024-06-09 15:09:18,480] - INFO: Epoch 2951/9999, Iter 147520: Loss = 0.010857089422643185, lr = [0.0001] +[2024-06-09 15:09:58,342] - INFO: Epoch 2951/9999, Iter 147540: Loss = 0.010043824091553688, lr = [0.0001] +[2024-06-09 15:10:38,640] - INFO: Epoch 2952/9999, Iter 147560: Loss = 0.011885677464306355, lr = [0.0001] +[2024-06-09 15:11:19,814] - INFO: Epoch 2952/9999, Iter 147580: Loss = 0.011359192430973053, lr = [0.0001] +[2024-06-09 15:11:59,389] - INFO: Epoch 2953/9999, Iter 147600: Loss = 0.010898387059569359, lr = [0.0001] +[2024-06-09 15:12:39,316] - INFO: Epoch 2953/9999, Iter 147620: Loss = 0.01439172774553299, lr = [0.0001] +[2024-06-09 15:13:18,425] - INFO: Epoch 2953/9999, Iter 147640: Loss = 0.017340458929538727, lr = [0.0001] +[2024-06-09 15:13:57,994] - INFO: Epoch 2954/9999, Iter 147660: Loss = 0.012653918005526066, lr = [0.0001] +[2024-06-09 15:14:39,164] - INFO: Epoch 2954/9999, Iter 147680: Loss = 0.00929722934961319, lr = [0.0001] +[2024-06-09 15:15:18,249] - INFO: Epoch 2955/9999, Iter 147700: Loss = 0.009172199293971062, lr = [0.0001] +[2024-06-09 15:15:57,149] - INFO: Epoch 2955/9999, Iter 147720: Loss = 0.010401792824268341, lr = [0.0001] +[2024-06-09 15:16:36,775] - INFO: Epoch 2955/9999, Iter 147740: Loss = 0.012009221129119396, lr = [0.0001] +[2024-06-09 15:16:52,468] - INFO: Evaluate at epoch 2955! +[2024-06-09 15:16:56,823] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 15:16:56,823] - INFO: Eval (with pad) PSNR (current): 38.122 (2955) SSIM (current): 0.9613 (2955) +[2024-06-09 15:16:56,823] - INFO: Evaluation over. +[2024-06-09 15:17:23,643] - INFO: Epoch 2956/9999, Iter 147760: Loss = 0.011628426611423492, lr = [0.0001] +[2024-06-09 15:18:04,032] - INFO: Epoch 2956/9999, Iter 147780: Loss = 0.010993444360792637, lr = [0.0001] +[2024-06-09 15:18:43,044] - INFO: Epoch 2957/9999, Iter 147800: Loss = 0.014009568840265274, lr = [0.0001] +[2024-06-09 15:19:23,651] - INFO: Epoch 2957/9999, Iter 147820: Loss = 0.010297982953488827, lr = [0.0001] +[2024-06-09 15:20:04,056] - INFO: Epoch 2957/9999, Iter 147840: Loss = 0.015719925984740257, lr = [0.0001] +[2024-06-09 15:20:44,180] - INFO: Epoch 2958/9999, Iter 147860: Loss = 0.018423857167363167, lr = [0.0001] +[2024-06-09 15:21:24,420] - INFO: Epoch 2958/9999, Iter 147880: Loss = 0.013906119391322136, lr = [0.0001] +[2024-06-09 15:22:03,897] - INFO: Epoch 2959/9999, Iter 147900: Loss = 0.012965491972863674, lr = [0.0001] +[2024-06-09 15:22:45,325] - INFO: Epoch 2959/9999, Iter 147920: Loss = 0.011849544011056423, lr = [0.0001] +[2024-06-09 15:23:26,650] - INFO: Epoch 2959/9999, Iter 147940: Loss = 0.015924300998449326, lr = [0.0001] +[2024-06-09 15:24:08,834] - INFO: Epoch 2960/9999, Iter 147960: Loss = 0.009684586897492409, lr = [0.0001] +[2024-06-09 15:24:48,112] - INFO: Epoch 2960/9999, Iter 147980: Loss = 0.01667322963476181, lr = [0.0001] +[2024-06-09 15:25:23,907] - INFO: Evaluate at epoch 2960! +[2024-06-09 15:25:28,619] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 15:25:28,619] - INFO: Eval (with pad) PSNR (current): 38.138 (2960) SSIM (current): 0.9613 (2960) +[2024-06-09 15:25:28,619] - INFO: Evaluation over. +[2024-06-09 15:25:33,798] - INFO: Epoch 2961/9999, Iter 148000: Loss = 0.009046779945492744, lr = [0.0001] +[2024-06-09 15:26:14,452] - INFO: Epoch 2961/9999, Iter 148020: Loss = 0.012166519649326801, lr = [0.0001] +[2024-06-09 15:26:53,794] - INFO: Epoch 2961/9999, Iter 148040: Loss = 0.012131738476455212, lr = [0.0001] +[2024-06-09 15:27:33,942] - INFO: Epoch 2962/9999, Iter 148060: Loss = 0.013143776915967464, lr = [0.0001] +[2024-06-09 15:28:13,100] - INFO: Epoch 2962/9999, Iter 148080: Loss = 0.015831179916858673, lr = [0.0001] +[2024-06-09 15:28:53,330] - INFO: Epoch 2963/9999, Iter 148100: Loss = 0.013097790069878101, lr = [0.0001] +[2024-06-09 15:29:34,133] - INFO: Epoch 2963/9999, Iter 148120: Loss = 0.010299582965672016, lr = [0.0001] +[2024-06-09 15:30:13,379] - INFO: Epoch 2963/9999, Iter 148140: Loss = 0.012140275910496712, lr = [0.0001] +[2024-06-09 15:30:52,449] - INFO: Epoch 2964/9999, Iter 148160: Loss = 0.017571331933140755, lr = [0.0001] +[2024-06-09 15:31:32,970] - INFO: Epoch 2964/9999, Iter 148180: Loss = 0.01603277400135994, lr = [0.0001] +[2024-06-09 15:32:13,374] - INFO: Epoch 2965/9999, Iter 148200: Loss = 0.009865615516901016, lr = [0.0001] +[2024-06-09 15:32:53,522] - INFO: Epoch 2965/9999, Iter 148220: Loss = 0.01030938420444727, lr = [0.0001] +[2024-06-09 15:33:34,212] - INFO: Epoch 2965/9999, Iter 148240: Loss = 0.015125907026231289, lr = [0.0001] +[2024-06-09 15:33:48,790] - INFO: Evaluate at epoch 2965! +[2024-06-09 15:33:53,366] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 15:33:53,366] - INFO: Eval (with pad) PSNR (current): 38.171 (2965) SSIM (current): 0.9614 (2965) +[2024-06-09 15:33:53,366] - INFO: Evaluation over. +[2024-06-09 15:34:18,844] - INFO: Epoch 2966/9999, Iter 148260: Loss = 0.01940971426665783, lr = [0.0001] +[2024-06-09 15:34:58,598] - INFO: Epoch 2966/9999, Iter 148280: Loss = 0.007782226428389549, lr = [0.0001] +[2024-06-09 15:35:38,504] - INFO: Epoch 2967/9999, Iter 148300: Loss = 0.009963314048945904, lr = [0.0001] +[2024-06-09 15:36:18,398] - INFO: Epoch 2967/9999, Iter 148320: Loss = 0.008697235956788063, lr = [0.0001] +[2024-06-09 15:36:58,088] - INFO: Epoch 2967/9999, Iter 148340: Loss = 0.01659044809639454, lr = [0.0001] +[2024-06-09 15:37:38,802] - INFO: Epoch 2968/9999, Iter 148360: Loss = 0.014780144207179546, lr = [0.0001] +[2024-06-09 15:38:18,797] - INFO: Epoch 2968/9999, Iter 148380: Loss = 0.010038207285106182, lr = [0.0001] +[2024-06-09 15:38:58,647] - INFO: Epoch 2969/9999, Iter 148400: Loss = 0.010245428420603275, lr = [0.0001] +[2024-06-09 15:39:39,841] - INFO: Epoch 2969/9999, Iter 148420: Loss = 0.014520644210278988, lr = [0.0001] +[2024-06-09 15:40:19,420] - INFO: Epoch 2969/9999, Iter 148440: Loss = 0.011562078259885311, lr = [0.0001] +[2024-06-09 15:41:00,037] - INFO: Epoch 2970/9999, Iter 148460: Loss = 0.013605435378849506, lr = [0.0001] +[2024-06-09 15:41:40,601] - INFO: Epoch 2970/9999, Iter 148480: Loss = 0.01975182257592678, lr = [0.0001] +[2024-06-09 15:42:16,476] - INFO: Evaluate at epoch 2970! +[2024-06-09 15:42:20,793] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 15:42:20,793] - INFO: Eval (with pad) PSNR (current): 38.153 (2970) SSIM (current): 0.9615 (2970) +[2024-06-09 15:42:20,794] - INFO: Evaluation over. +[2024-06-09 15:42:26,385] - INFO: Epoch 2971/9999, Iter 148500: Loss = 0.012757992371916771, lr = [0.0001] +[2024-06-09 15:43:07,700] - INFO: Epoch 2971/9999, Iter 148520: Loss = 0.014756964519619942, lr = [0.0001] +[2024-06-09 15:43:47,084] - INFO: Epoch 2971/9999, Iter 148540: Loss = 0.009856583550572395, lr = [0.0001] +[2024-06-09 15:44:28,139] - INFO: Epoch 2972/9999, Iter 148560: Loss = 0.010128469206392765, lr = [0.0001] +[2024-06-09 15:45:06,217] - INFO: Epoch 2972/9999, Iter 148580: Loss = 0.011586789041757584, lr = [0.0001] +[2024-06-09 15:45:46,013] - INFO: Epoch 2973/9999, Iter 148600: Loss = 0.011220256797969341, lr = [0.0001] +[2024-06-09 15:46:27,517] - INFO: Epoch 2973/9999, Iter 148620: Loss = 0.013692623004317284, lr = [0.0001] +[2024-06-09 15:47:07,657] - INFO: Epoch 2973/9999, Iter 148640: Loss = 0.011404489167034626, lr = [0.0001] +[2024-06-09 15:47:48,530] - INFO: Epoch 2974/9999, Iter 148660: Loss = 0.013537419959902763, lr = [0.0001] +[2024-06-09 15:48:27,687] - INFO: Epoch 2974/9999, Iter 148680: Loss = 0.011733978055417538, lr = [0.0001] +[2024-06-09 15:49:07,001] - INFO: Epoch 2975/9999, Iter 148700: Loss = 0.010790842585265636, lr = [0.0001] +[2024-06-09 15:49:47,201] - INFO: Epoch 2975/9999, Iter 148720: Loss = 0.011234208010137081, lr = [0.0001] +[2024-06-09 15:50:27,592] - INFO: Epoch 2975/9999, Iter 148740: Loss = 0.0179067961871624, lr = [0.0001] +[2024-06-09 15:50:42,908] - INFO: Evaluate at epoch 2975! +[2024-06-09 15:50:47,557] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 15:50:47,557] - INFO: Eval (with pad) PSNR (current): 38.175 (2975) SSIM (current): 0.9615 (2975) +[2024-06-09 15:50:47,557] - INFO: Evaluation over. +[2024-06-09 15:51:13,443] - INFO: Epoch 2976/9999, Iter 148760: Loss = 0.01214991882443428, lr = [0.0001] +[2024-06-09 15:51:53,183] - INFO: Epoch 2976/9999, Iter 148780: Loss = 0.009225516580045223, lr = [0.0001] +[2024-06-09 15:52:33,376] - INFO: Epoch 2977/9999, Iter 148800: Loss = 0.015726009383797646, lr = [0.0001] +[2024-06-09 15:53:12,615] - INFO: Epoch 2977/9999, Iter 148820: Loss = 0.012403696775436401, lr = [0.0001] +[2024-06-09 15:53:52,212] - INFO: Epoch 2977/9999, Iter 148840: Loss = 0.011130845174193382, lr = [0.0001] +[2024-06-09 15:54:31,772] - INFO: Epoch 2978/9999, Iter 148860: Loss = 0.009445439092814922, lr = [0.0001] +[2024-06-09 15:55:11,526] - INFO: Epoch 2978/9999, Iter 148880: Loss = 0.012436767108738422, lr = [0.0001] +[2024-06-09 15:55:49,739] - INFO: Epoch 2979/9999, Iter 148900: Loss = 0.007794871460646391, lr = [0.0001] +[2024-06-09 15:56:30,422] - INFO: Epoch 2979/9999, Iter 148920: Loss = 0.014242606237530708, lr = [0.0001] +[2024-06-09 15:57:10,192] - INFO: Epoch 2979/9999, Iter 148940: Loss = 0.012207074090838432, lr = [0.0001] +[2024-06-09 15:57:50,320] - INFO: Epoch 2980/9999, Iter 148960: Loss = 0.018741842359304428, lr = [0.0001] +[2024-06-09 15:58:29,192] - INFO: Epoch 2980/9999, Iter 148980: Loss = 0.009440429508686066, lr = [0.0001] +[2024-06-09 15:59:03,521] - INFO: Evaluate at epoch 2980! +[2024-06-09 15:59:07,947] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 15:59:07,947] - INFO: Eval (with pad) PSNR (current): 38.111 (2980) SSIM (current): 0.9613 (2980) +[2024-06-09 15:59:07,947] - INFO: Evaluation over. +[2024-06-09 15:59:13,343] - INFO: Epoch 2981/9999, Iter 149000: Loss = 0.011154274456202984, lr = [0.0001] +[2024-06-09 15:59:52,464] - INFO: Epoch 2981/9999, Iter 149020: Loss = 0.013157385401427746, lr = [0.0001] +[2024-06-09 16:00:32,853] - INFO: Epoch 2981/9999, Iter 149040: Loss = 0.01580403745174408, lr = [0.0001] +[2024-06-09 16:01:14,256] - INFO: Epoch 2982/9999, Iter 149060: Loss = 0.016522333025932312, lr = [0.0001] +[2024-06-09 16:01:54,979] - INFO: Epoch 2982/9999, Iter 149080: Loss = 0.017795104533433914, lr = [0.0001] +[2024-06-09 16:02:34,731] - INFO: Epoch 2983/9999, Iter 149100: Loss = 0.010709746740758419, lr = [0.0001] +[2024-06-09 16:03:15,463] - INFO: Epoch 2983/9999, Iter 149120: Loss = 0.014414776116609573, lr = [0.0001] +[2024-06-09 16:03:55,766] - INFO: Epoch 2983/9999, Iter 149140: Loss = 0.011540853418409824, lr = [0.0001] +[2024-06-09 16:04:34,556] - INFO: Epoch 2984/9999, Iter 149160: Loss = 0.013025074265897274, lr = [0.0001] +[2024-06-09 16:05:14,934] - INFO: Epoch 2984/9999, Iter 149180: Loss = 0.01911172643303871, lr = [0.0001] +[2024-06-09 16:05:55,021] - INFO: Epoch 2985/9999, Iter 149200: Loss = 0.012278251349925995, lr = [0.0001] +[2024-06-09 16:06:34,516] - INFO: Epoch 2985/9999, Iter 149220: Loss = 0.011463425122201443, lr = [0.0001] +[2024-06-09 16:07:13,574] - INFO: Epoch 2985/9999, Iter 149240: Loss = 0.016055269166827202, lr = [0.0001] +[2024-06-09 16:07:30,223] - INFO: Evaluate at epoch 2985! +[2024-06-09 16:07:34,524] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 16:07:34,524] - INFO: Eval (with pad) PSNR (current): 38.131 (2985) SSIM (current): 0.9613 (2985) +[2024-06-09 16:07:34,524] - INFO: Evaluation over. +[2024-06-09 16:08:00,264] - INFO: Epoch 2986/9999, Iter 149260: Loss = 0.011706559918820858, lr = [0.0001] +[2024-06-09 16:08:40,842] - INFO: Epoch 2986/9999, Iter 149280: Loss = 0.014793261885643005, lr = [0.0001] +[2024-06-09 16:09:20,681] - INFO: Epoch 2987/9999, Iter 149300: Loss = 0.01025425922125578, lr = [0.0001] +[2024-06-09 16:10:01,150] - INFO: Epoch 2987/9999, Iter 149320: Loss = 0.014192745089530945, lr = [0.0001] +[2024-06-09 16:10:40,939] - INFO: Epoch 2987/9999, Iter 149340: Loss = 0.008087939582765102, lr = [0.0001] +[2024-06-09 16:11:21,893] - INFO: Epoch 2988/9999, Iter 149360: Loss = 0.0141804413869977, lr = [0.0001] +[2024-06-09 16:12:01,219] - INFO: Epoch 2988/9999, Iter 149380: Loss = 0.013788453303277493, lr = [0.0001] +[2024-06-09 16:12:41,090] - INFO: Epoch 2989/9999, Iter 149400: Loss = 0.01010311208665371, lr = [0.0001] +[2024-06-09 16:13:21,714] - INFO: Epoch 2989/9999, Iter 149420: Loss = 0.009756246581673622, lr = [0.0001] +[2024-06-09 16:14:01,988] - INFO: Epoch 2989/9999, Iter 149440: Loss = 0.01747438870370388, lr = [0.0001] +[2024-06-09 16:14:44,066] - INFO: Epoch 2990/9999, Iter 149460: Loss = 0.014523142017424107, lr = [0.0001] +[2024-06-09 16:15:24,200] - INFO: Epoch 2990/9999, Iter 149480: Loss = 0.008887956850230694, lr = [0.0001] +[2024-06-09 16:15:59,630] - INFO: Evaluate at epoch 2990! +[2024-06-09 16:16:03,930] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 16:16:03,930] - INFO: Eval (with pad) PSNR (current): 38.186 (2990) SSIM (current): 0.9614 (2990) +[2024-06-09 16:16:03,930] - INFO: Evaluation over. +[2024-06-09 16:16:08,928] - INFO: Epoch 2991/9999, Iter 149500: Loss = 0.012339084409177303, lr = [0.0001] +[2024-06-09 16:16:49,327] - INFO: Epoch 2991/9999, Iter 149520: Loss = 0.009739593602716923, lr = [0.0001] +[2024-06-09 16:17:30,595] - INFO: Epoch 2991/9999, Iter 149540: Loss = 0.013782097026705742, lr = [0.0001] +[2024-06-09 16:18:11,424] - INFO: Epoch 2992/9999, Iter 149560: Loss = 0.010774345137178898, lr = [0.0001] +[2024-06-09 16:18:51,225] - INFO: Epoch 2992/9999, Iter 149580: Loss = 0.020066741853952408, lr = [0.0001] +[2024-06-09 16:19:31,164] - INFO: Epoch 2993/9999, Iter 149600: Loss = 0.014860186725854874, lr = [0.0001] +[2024-06-09 16:20:13,003] - INFO: Epoch 2993/9999, Iter 149620: Loss = 0.010616726242005825, lr = [0.0001] +[2024-06-09 16:20:53,260] - INFO: Epoch 2993/9999, Iter 149640: Loss = 0.011145609430968761, lr = [0.0001] +[2024-06-09 16:21:31,752] - INFO: Epoch 2994/9999, Iter 149660: Loss = 0.006494508124887943, lr = [0.0001] +[2024-06-09 16:22:12,131] - INFO: Epoch 2994/9999, Iter 149680: Loss = 0.016752095893025398, lr = [0.0001] +[2024-06-09 16:22:50,916] - INFO: Epoch 2995/9999, Iter 149700: Loss = 0.010637074708938599, lr = [0.0001] +[2024-06-09 16:23:31,249] - INFO: Epoch 2995/9999, Iter 149720: Loss = 0.012094245292246342, lr = [0.0001] +[2024-06-09 16:24:11,562] - INFO: Epoch 2995/9999, Iter 149740: Loss = 0.010060051456093788, lr = [0.0001] +[2024-06-09 16:24:27,605] - INFO: Evaluate at epoch 2995! +[2024-06-09 16:24:31,992] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 16:24:31,992] - INFO: Eval (with pad) PSNR (current): 38.160 (2995) SSIM (current): 0.9614 (2995) +[2024-06-09 16:24:31,993] - INFO: Evaluation over. +[2024-06-09 16:24:57,282] - INFO: Epoch 2996/9999, Iter 149760: Loss = 0.01323878113180399, lr = [0.0001] +[2024-06-09 16:25:36,612] - INFO: Epoch 2996/9999, Iter 149780: Loss = 0.009155599400401115, lr = [0.0001] +[2024-06-09 16:26:16,401] - INFO: Epoch 2997/9999, Iter 149800: Loss = 0.014085833914577961, lr = [0.0001] +[2024-06-09 16:26:58,760] - INFO: Epoch 2997/9999, Iter 149820: Loss = 0.012115507386624813, lr = [0.0001] +[2024-06-09 16:27:38,505] - INFO: Epoch 2997/9999, Iter 149840: Loss = 0.011874974705278873, lr = [0.0001] +[2024-06-09 16:28:20,465] - INFO: Epoch 2998/9999, Iter 149860: Loss = 0.010798241011798382, lr = [0.0001] +[2024-06-09 16:29:00,189] - INFO: Epoch 2998/9999, Iter 149880: Loss = 0.01247761957347393, lr = [0.0001] +[2024-06-09 16:29:40,486] - INFO: Epoch 2999/9999, Iter 149900: Loss = 0.015874208882451057, lr = [0.0001] +[2024-06-09 16:30:21,294] - INFO: Epoch 2999/9999, Iter 149920: Loss = 0.014363216236233711, lr = [0.0001] +[2024-06-09 16:31:00,381] - INFO: Epoch 2999/9999, Iter 149940: Loss = 0.01358071994036436, lr = [0.0001] +[2024-06-09 16:31:40,406] - INFO: Epoch 3000/9999, Iter 149960: Loss = 0.007902729324996471, lr = [0.0001] +[2024-06-09 16:32:20,087] - INFO: Epoch 3000/9999, Iter 149980: Loss = 0.010735346004366875, lr = [0.0001] +[2024-06-09 16:32:55,970] - INFO: Evaluate at epoch 3000! +[2024-06-09 16:33:00,283] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 16:33:00,283] - INFO: Eval (with pad) PSNR (current): 38.186 (3000) SSIM (current): 0.9613 (3000) +[2024-06-09 16:33:00,283] - INFO: Evaluation over. +[2024-06-09 16:33:05,766] - INFO: Epoch 3001/9999, Iter 150000: Loss = 0.010924650356173515, lr = [0.0001] +[2024-06-09 16:33:46,647] - INFO: Epoch 3001/9999, Iter 150020: Loss = 0.012307608500123024, lr = [0.0001] +[2024-06-09 16:34:26,677] - INFO: Epoch 3001/9999, Iter 150040: Loss = 0.016483601182699203, lr = [0.0001] +[2024-06-09 16:35:07,081] - INFO: Epoch 3002/9999, Iter 150060: Loss = 0.015923229977488518, lr = [0.0001] +[2024-06-09 16:35:47,862] - INFO: Epoch 3002/9999, Iter 150080: Loss = 0.013306518085300922, lr = [0.0001] +[2024-06-09 16:36:26,864] - INFO: Epoch 3003/9999, Iter 150100: Loss = 0.010333990678191185, lr = [0.0001] +[2024-06-09 16:37:07,866] - INFO: Epoch 3003/9999, Iter 150120: Loss = 0.010886097326874733, lr = [0.0001] +[2024-06-09 16:37:48,737] - INFO: Epoch 3003/9999, Iter 150140: Loss = 0.0156696904450655, lr = [0.0001] +[2024-06-09 16:38:27,812] - INFO: Epoch 3004/9999, Iter 150160: Loss = 0.011996911838650703, lr = [0.0001] +[2024-06-09 16:39:09,110] - INFO: Epoch 3004/9999, Iter 150180: Loss = 0.010888860560953617, lr = [0.0001] +[2024-06-09 16:39:47,922] - INFO: Epoch 3005/9999, Iter 150200: Loss = 0.009118884801864624, lr = [0.0001] +[2024-06-09 16:40:28,923] - INFO: Epoch 3005/9999, Iter 150220: Loss = 0.01094205304980278, lr = [0.0001] +[2024-06-09 16:41:08,395] - INFO: Epoch 3005/9999, Iter 150240: Loss = 0.010575401596724987, lr = [0.0001] +[2024-06-09 16:41:23,496] - INFO: Evaluate at epoch 3005! +[2024-06-09 16:41:27,887] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 16:41:27,887] - INFO: Eval (with pad) PSNR (current): 38.181 (3005) SSIM (current): 0.9614 (3005) +[2024-06-09 16:41:27,888] - INFO: Evaluation over. +[2024-06-09 16:41:53,648] - INFO: Epoch 3006/9999, Iter 150260: Loss = 0.014672419987618923, lr = [0.0001] +[2024-06-09 16:42:34,043] - INFO: Epoch 3006/9999, Iter 150280: Loss = 0.013235329650342464, lr = [0.0001] +[2024-06-09 16:43:12,914] - INFO: Epoch 3007/9999, Iter 150300: Loss = 0.009743551723659039, lr = [0.0001] +[2024-06-09 16:43:53,055] - INFO: Epoch 3007/9999, Iter 150320: Loss = 0.010681246407330036, lr = [0.0001] +[2024-06-09 16:44:32,956] - INFO: Epoch 3007/9999, Iter 150340: Loss = 0.01827722229063511, lr = [0.0001] +[2024-06-09 16:45:13,689] - INFO: Epoch 3008/9999, Iter 150360: Loss = 0.012950551696121693, lr = [0.0001] +[2024-06-09 16:45:53,905] - INFO: Epoch 3008/9999, Iter 150380: Loss = 0.011944170109927654, lr = [0.0001] +[2024-06-09 16:46:32,965] - INFO: Epoch 3009/9999, Iter 150400: Loss = 0.015424549579620361, lr = [0.0001] +[2024-06-09 16:47:14,140] - INFO: Epoch 3009/9999, Iter 150420: Loss = 0.01803070306777954, lr = [0.0001] +[2024-06-09 16:47:54,264] - INFO: Epoch 3009/9999, Iter 150440: Loss = 0.010829177685081959, lr = [0.0001] +[2024-06-09 16:48:35,367] - INFO: Epoch 3010/9999, Iter 150460: Loss = 0.01710977405309677, lr = [0.0001] +[2024-06-09 16:49:15,041] - INFO: Epoch 3010/9999, Iter 150480: Loss = 0.016920624300837517, lr = [0.0001] +[2024-06-09 16:49:50,548] - INFO: Evaluate at epoch 3010! +[2024-06-09 16:49:55,170] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 16:49:55,170] - INFO: Eval (with pad) PSNR (current): 38.141 (3010) SSIM (current): 0.9614 (3010) +[2024-06-09 16:49:55,170] - INFO: Evaluation over. +[2024-06-09 16:50:00,575] - INFO: Epoch 3011/9999, Iter 150500: Loss = 0.010468629188835621, lr = [0.0001] +[2024-06-09 16:50:42,524] - INFO: Epoch 3011/9999, Iter 150520: Loss = 0.01207859255373478, lr = [0.0001] +[2024-06-09 16:51:23,025] - INFO: Epoch 3011/9999, Iter 150540: Loss = 0.01256816927343607, lr = [0.0001] +[2024-06-09 16:52:03,999] - INFO: Epoch 3012/9999, Iter 150560: Loss = 0.01024674903601408, lr = [0.0001] +[2024-06-09 16:52:44,295] - INFO: Epoch 3012/9999, Iter 150580: Loss = 0.012245590798556805, lr = [0.0001] +[2024-06-09 16:53:24,344] - INFO: Epoch 3013/9999, Iter 150600: Loss = 0.0138168316334486, lr = [0.0001] +[2024-06-09 16:54:06,380] - INFO: Epoch 3013/9999, Iter 150620: Loss = 0.017414385452866554, lr = [0.0001] +[2024-06-09 16:54:45,237] - INFO: Epoch 3013/9999, Iter 150640: Loss = 0.008235621266067028, lr = [0.0001] +[2024-06-09 16:55:26,649] - INFO: Epoch 3014/9999, Iter 150660: Loss = 0.013732810504734516, lr = [0.0001] +[2024-06-09 16:56:07,129] - INFO: Epoch 3014/9999, Iter 150680: Loss = 0.017024321481585503, lr = [0.0001] +[2024-06-09 16:56:45,738] - INFO: Epoch 3015/9999, Iter 150700: Loss = 0.012936815619468689, lr = [0.0001] +[2024-06-09 16:57:26,167] - INFO: Epoch 3015/9999, Iter 150720: Loss = 0.010333674028515816, lr = [0.0001] +[2024-06-09 16:58:05,749] - INFO: Epoch 3015/9999, Iter 150740: Loss = 0.009097660891711712, lr = [0.0001] +[2024-06-09 16:58:21,067] - INFO: Evaluate at epoch 3015! +[2024-06-09 16:58:25,669] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 16:58:25,669] - INFO: Eval (with pad) PSNR (current): 38.097 (3015) SSIM (current): 0.9615 (3015) +[2024-06-09 16:58:25,669] - INFO: Evaluation over. +[2024-06-09 16:58:52,937] - INFO: Epoch 3016/9999, Iter 150760: Loss = 0.008454620838165283, lr = [0.0001] +[2024-06-09 16:59:32,718] - INFO: Epoch 3016/9999, Iter 150780: Loss = 0.017091849818825722, lr = [0.0001] +[2024-06-09 17:00:12,618] - INFO: Epoch 3017/9999, Iter 150800: Loss = 0.012716183438897133, lr = [0.0001] +[2024-06-09 17:00:53,819] - INFO: Epoch 3017/9999, Iter 150820: Loss = 0.012493623420596123, lr = [0.0001] +[2024-06-09 17:01:32,991] - INFO: Epoch 3017/9999, Iter 150840: Loss = 0.013301271013915539, lr = [0.0001] +[2024-06-09 17:02:14,048] - INFO: Epoch 3018/9999, Iter 150860: Loss = 0.01398883294314146, lr = [0.0001] +[2024-06-09 17:02:54,635] - INFO: Epoch 3018/9999, Iter 150880: Loss = 0.0112600764259696, lr = [0.0001] +[2024-06-09 17:03:33,719] - INFO: Epoch 3019/9999, Iter 150900: Loss = 0.017917383462190628, lr = [0.0001] +[2024-06-09 17:04:15,682] - INFO: Epoch 3019/9999, Iter 150920: Loss = 0.015288174152374268, lr = [0.0001] +[2024-06-09 17:04:55,858] - INFO: Epoch 3019/9999, Iter 150940: Loss = 0.012617764063179493, lr = [0.0001] +[2024-06-09 17:05:33,336] - INFO: Epoch 3020/9999, Iter 150960: Loss = 0.012332583777606487, lr = [0.0001] +[2024-06-09 17:06:14,243] - INFO: Epoch 3020/9999, Iter 150980: Loss = 0.012594858184456825, lr = [0.0001] +[2024-06-09 17:06:49,885] - INFO: Evaluate at epoch 3020! +[2024-06-09 17:06:54,491] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 17:06:54,491] - INFO: Eval (with pad) PSNR (current): 38.160 (3020) SSIM (current): 0.9614 (3020) +[2024-06-09 17:06:54,491] - INFO: Evaluation over. +[2024-06-09 17:07:00,157] - INFO: Epoch 3021/9999, Iter 151000: Loss = 0.013348360545933247, lr = [0.0001] +[2024-06-09 17:07:40,822] - INFO: Epoch 3021/9999, Iter 151020: Loss = 0.01592324674129486, lr = [0.0001] +[2024-06-09 17:08:20,763] - INFO: Epoch 3021/9999, Iter 151040: Loss = 0.014817587099969387, lr = [0.0001] +[2024-06-09 17:08:59,558] - INFO: Epoch 3022/9999, Iter 151060: Loss = 0.01191286277025938, lr = [0.0001] +[2024-06-09 17:09:39,577] - INFO: Epoch 3022/9999, Iter 151080: Loss = 0.011964473873376846, lr = [0.0001] +[2024-06-09 17:10:16,201] - INFO: Epoch 3023/9999, Iter 151100: Loss = 0.007035381160676479, lr = [0.0001] +[2024-06-09 17:10:56,552] - INFO: Epoch 3023/9999, Iter 151120: Loss = 0.011579463258385658, lr = [0.0001] +[2024-06-09 17:11:37,203] - INFO: Epoch 3023/9999, Iter 151140: Loss = 0.009773612022399902, lr = [0.0001] +[2024-06-09 17:12:17,742] - INFO: Epoch 3024/9999, Iter 151160: Loss = 0.012999909929931164, lr = [0.0001] +[2024-06-09 17:12:56,854] - INFO: Epoch 3024/9999, Iter 151180: Loss = 0.006353483069688082, lr = [0.0001] +[2024-06-09 17:13:36,232] - INFO: Epoch 3025/9999, Iter 151200: Loss = 0.010551071725785732, lr = [0.0001] +[2024-06-09 17:14:18,239] - INFO: Epoch 3025/9999, Iter 151220: Loss = 0.012576723471283913, lr = [0.0001] +[2024-06-09 17:14:57,428] - INFO: Epoch 3025/9999, Iter 151240: Loss = 0.010988449677824974, lr = [0.0001] +[2024-06-09 17:15:13,715] - INFO: Evaluate at epoch 3025! +[2024-06-09 17:15:17,959] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 17:15:17,960] - INFO: Eval (with pad) PSNR (current): 38.130 (3025) SSIM (current): 0.9614 (3025) +[2024-06-09 17:15:17,960] - INFO: Evaluation over. +[2024-06-09 17:15:43,412] - INFO: Epoch 3026/9999, Iter 151260: Loss = 0.011750391684472561, lr = [0.0001] +[2024-06-09 17:16:23,940] - INFO: Epoch 3026/9999, Iter 151280: Loss = 0.013346091844141483, lr = [0.0001] +[2024-06-09 17:17:03,766] - INFO: Epoch 3027/9999, Iter 151300: Loss = 0.0144069017842412, lr = [0.0001] +[2024-06-09 17:17:45,734] - INFO: Epoch 3027/9999, Iter 151320: Loss = 0.017675045877695084, lr = [0.0001] +[2024-06-09 17:18:26,431] - INFO: Epoch 3027/9999, Iter 151340: Loss = 0.009784452617168427, lr = [0.0001] +[2024-06-09 17:19:05,132] - INFO: Epoch 3028/9999, Iter 151360: Loss = 0.010453647933900356, lr = [0.0001] +[2024-06-09 17:19:45,484] - INFO: Epoch 3028/9999, Iter 151380: Loss = 0.010186592116951942, lr = [0.0001] +[2024-06-09 17:20:24,193] - INFO: Epoch 3029/9999, Iter 151400: Loss = 0.013927231542766094, lr = [0.0001] +[2024-06-09 17:21:03,526] - INFO: Epoch 3029/9999, Iter 151420: Loss = 0.009555540978908539, lr = [0.0001] +[2024-06-09 17:21:44,101] - INFO: Epoch 3029/9999, Iter 151440: Loss = 0.010913193225860596, lr = [0.0001] +[2024-06-09 17:22:22,190] - INFO: Epoch 3030/9999, Iter 151460: Loss = 0.01492436695843935, lr = [0.0001] +[2024-06-09 17:23:02,390] - INFO: Epoch 3030/9999, Iter 151480: Loss = 0.013733968138694763, lr = [0.0001] +[2024-06-09 17:23:37,435] - INFO: Evaluate at epoch 3030! +[2024-06-09 17:23:41,714] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 17:23:41,714] - INFO: Eval (with pad) PSNR (current): 38.133 (3030) SSIM (current): 0.9612 (3030) +[2024-06-09 17:23:41,714] - INFO: Evaluation over. +[2024-06-09 17:23:47,245] - INFO: Epoch 3031/9999, Iter 151500: Loss = 0.01456020399928093, lr = [0.0001] +[2024-06-09 17:24:28,951] - INFO: Epoch 3031/9999, Iter 151520: Loss = 0.010858184657990932, lr = [0.0001] +[2024-06-09 17:25:06,404] - INFO: Epoch 3031/9999, Iter 151540: Loss = 0.011733484454452991, lr = [0.0001] +[2024-06-09 17:25:46,875] - INFO: Epoch 3032/9999, Iter 151560: Loss = 0.012002666480839252, lr = [0.0001] +[2024-06-09 17:26:27,837] - INFO: Epoch 3032/9999, Iter 151580: Loss = 0.011543331667780876, lr = [0.0001] +[2024-06-09 17:27:06,904] - INFO: Epoch 3033/9999, Iter 151600: Loss = 0.012061617337167263, lr = [0.0001] +[2024-06-09 17:27:47,983] - INFO: Epoch 3033/9999, Iter 151620: Loss = 0.01537165604531765, lr = [0.0001] +[2024-06-09 17:28:28,551] - INFO: Epoch 3033/9999, Iter 151640: Loss = 0.010249217040836811, lr = [0.0001] +[2024-06-09 17:29:07,589] - INFO: Epoch 3034/9999, Iter 151660: Loss = 0.008298594504594803, lr = [0.0001] +[2024-06-09 17:29:48,847] - INFO: Epoch 3034/9999, Iter 151680: Loss = 0.013236514292657375, lr = [0.0001] +[2024-06-09 17:30:28,064] - INFO: Epoch 3035/9999, Iter 151700: Loss = 0.012377954088151455, lr = [0.0001] +[2024-06-09 17:31:09,402] - INFO: Epoch 3035/9999, Iter 151720: Loss = 0.014099463820457458, lr = [0.0001] +[2024-06-09 17:31:48,954] - INFO: Epoch 3035/9999, Iter 151740: Loss = 0.012793226167559624, lr = [0.0001] +[2024-06-09 17:32:05,085] - INFO: Evaluate at epoch 3035! +[2024-06-09 17:32:09,382] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 17:32:09,382] - INFO: Eval (with pad) PSNR (current): 38.163 (3035) SSIM (current): 0.9614 (3035) +[2024-06-09 17:32:09,382] - INFO: Evaluation over. +[2024-06-09 17:32:34,123] - INFO: Epoch 3036/9999, Iter 151760: Loss = 0.010456332936882973, lr = [0.0001] +[2024-06-09 17:33:14,058] - INFO: Epoch 3036/9999, Iter 151780: Loss = 0.011934446170926094, lr = [0.0001] +[2024-06-09 17:33:52,954] - INFO: Epoch 3037/9999, Iter 151800: Loss = 0.015759197995066643, lr = [0.0001] +[2024-06-09 17:34:34,356] - INFO: Epoch 3037/9999, Iter 151820: Loss = 0.012155602686107159, lr = [0.0001] +[2024-06-09 17:35:13,245] - INFO: Epoch 3037/9999, Iter 151840: Loss = 0.018004827201366425, lr = [0.0001] +[2024-06-09 17:35:54,097] - INFO: Epoch 3038/9999, Iter 151860: Loss = 0.015687396749854088, lr = [0.0001] +[2024-06-09 17:36:34,152] - INFO: Epoch 3038/9999, Iter 151880: Loss = 0.01475095096975565, lr = [0.0001] +[2024-06-09 17:37:14,427] - INFO: Epoch 3039/9999, Iter 151900: Loss = 0.008592931553721428, lr = [0.0001] +[2024-06-09 17:37:55,333] - INFO: Epoch 3039/9999, Iter 151920: Loss = 0.010508716106414795, lr = [0.0001] +[2024-06-09 17:38:33,141] - INFO: Epoch 3039/9999, Iter 151940: Loss = 0.010516451671719551, lr = [0.0001] +[2024-06-09 17:39:13,875] - INFO: Epoch 3040/9999, Iter 151960: Loss = 0.012213263660669327, lr = [0.0001] +[2024-06-09 17:39:52,240] - INFO: Epoch 3040/9999, Iter 151980: Loss = 0.011111107654869556, lr = [0.0001] +[2024-06-09 17:40:26,976] - INFO: Evaluate at epoch 3040! +[2024-06-09 17:40:31,392] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 17:40:31,392] - INFO: Eval (with pad) PSNR (current): 38.142 (3040) SSIM (current): 0.9613 (3040) +[2024-06-09 17:40:31,392] - INFO: Evaluation over. +[2024-06-09 17:40:36,663] - INFO: Epoch 3041/9999, Iter 152000: Loss = 0.0113286217674613, lr = [0.0001] +[2024-06-09 17:41:17,743] - INFO: Epoch 3041/9999, Iter 152020: Loss = 0.008572885766625404, lr = [0.0001] +[2024-06-09 17:41:58,427] - INFO: Epoch 3041/9999, Iter 152040: Loss = 0.01144600473344326, lr = [0.0001] +[2024-06-09 17:42:38,650] - INFO: Epoch 3042/9999, Iter 152060: Loss = 0.013213641941547394, lr = [0.0001] +[2024-06-09 17:43:19,740] - INFO: Epoch 3042/9999, Iter 152080: Loss = 0.010312936268746853, lr = [0.0001] +[2024-06-09 17:43:59,246] - INFO: Epoch 3043/9999, Iter 152100: Loss = 0.011902539990842342, lr = [0.0001] +[2024-06-09 17:44:41,027] - INFO: Epoch 3043/9999, Iter 152120: Loss = 0.012998064048588276, lr = [0.0001] +[2024-06-09 17:45:20,504] - INFO: Epoch 3043/9999, Iter 152140: Loss = 0.014784678816795349, lr = [0.0001] +[2024-06-09 17:46:02,684] - INFO: Epoch 3044/9999, Iter 152160: Loss = 0.012088315561413765, lr = [0.0001] +[2024-06-09 17:46:42,108] - INFO: Epoch 3044/9999, Iter 152180: Loss = 0.007583761587738991, lr = [0.0001] +[2024-06-09 17:47:20,738] - INFO: Epoch 3045/9999, Iter 152200: Loss = 0.015447902493178844, lr = [0.0001] +[2024-06-09 17:48:00,411] - INFO: Epoch 3045/9999, Iter 152220: Loss = 0.012585829012095928, lr = [0.0001] +[2024-06-09 17:48:40,259] - INFO: Epoch 3045/9999, Iter 152240: Loss = 0.01265790220350027, lr = [0.0001] +[2024-06-09 17:48:55,736] - INFO: Evaluate at epoch 3045! +[2024-06-09 17:49:00,369] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 17:49:00,369] - INFO: Eval (with pad) PSNR (current): 38.119 (3045) SSIM (current): 0.9613 (3045) +[2024-06-09 17:49:00,369] - INFO: Evaluation over. +[2024-06-09 17:49:27,277] - INFO: Epoch 3046/9999, Iter 152260: Loss = 0.023302149027585983, lr = [0.0001] +[2024-06-09 17:50:07,586] - INFO: Epoch 3046/9999, Iter 152280: Loss = 0.01045673806220293, lr = [0.0001] +[2024-06-09 17:50:46,340] - INFO: Epoch 3047/9999, Iter 152300: Loss = 0.011945572681725025, lr = [0.0001] +[2024-06-09 17:51:27,535] - INFO: Epoch 3047/9999, Iter 152320: Loss = 0.015999527648091316, lr = [0.0001] +[2024-06-09 17:52:07,606] - INFO: Epoch 3047/9999, Iter 152340: Loss = 0.019907090812921524, lr = [0.0001] +[2024-06-09 17:52:48,246] - INFO: Epoch 3048/9999, Iter 152360: Loss = 0.019103847444057465, lr = [0.0001] +[2024-06-09 17:53:29,225] - INFO: Epoch 3048/9999, Iter 152380: Loss = 0.012511949054896832, lr = [0.0001] +[2024-06-09 17:54:09,438] - INFO: Epoch 3049/9999, Iter 152400: Loss = 0.013796497136354446, lr = [0.0001] +[2024-06-09 17:54:51,200] - INFO: Epoch 3049/9999, Iter 152420: Loss = 0.016920801252126694, lr = [0.0001] +[2024-06-09 17:55:29,646] - INFO: Epoch 3049/9999, Iter 152440: Loss = 0.012310052290558815, lr = [0.0001] +[2024-06-09 17:56:08,392] - INFO: Epoch 3050/9999, Iter 152460: Loss = 0.014580849558115005, lr = [0.0001] +[2024-06-09 17:56:48,586] - INFO: Epoch 3050/9999, Iter 152480: Loss = 0.007858079858124256, lr = [0.0001] +[2024-06-09 17:57:22,453] - INFO: Evaluate at epoch 3050! +[2024-06-09 17:57:26,740] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 17:57:26,740] - INFO: Eval (with pad) PSNR (current): 38.172 (3050) SSIM (current): 0.9613 (3050) +[2024-06-09 17:57:26,740] - INFO: Evaluation over. +[2024-06-09 17:57:32,197] - INFO: Epoch 3051/9999, Iter 152500: Loss = 0.008790540508925915, lr = [0.0001] +[2024-06-09 17:58:13,793] - INFO: Epoch 3051/9999, Iter 152520: Loss = 0.015129486098885536, lr = [0.0001] +[2024-06-09 17:58:53,793] - INFO: Epoch 3051/9999, Iter 152540: Loss = 0.01364070177078247, lr = [0.0001] +[2024-06-09 17:59:35,202] - INFO: Epoch 3052/9999, Iter 152560: Loss = 0.011778582818806171, lr = [0.0001] +[2024-06-09 18:00:16,405] - INFO: Epoch 3052/9999, Iter 152580: Loss = 0.011488804593682289, lr = [0.0001] +[2024-06-09 18:00:55,276] - INFO: Epoch 3053/9999, Iter 152600: Loss = 0.011395060457289219, lr = [0.0001] +[2024-06-09 18:01:37,311] - INFO: Epoch 3053/9999, Iter 152620: Loss = 0.013543698936700821, lr = [0.0001] +[2024-06-09 18:02:15,804] - INFO: Epoch 3053/9999, Iter 152640: Loss = 0.011262916959822178, lr = [0.0001] +[2024-06-09 18:02:58,179] - INFO: Epoch 3054/9999, Iter 152660: Loss = 0.01723022572696209, lr = [0.0001] +[2024-06-09 18:03:37,502] - INFO: Epoch 3054/9999, Iter 152680: Loss = 0.013317536562681198, lr = [0.0001] +[2024-06-09 18:04:16,450] - INFO: Epoch 3055/9999, Iter 152700: Loss = 0.013782070949673653, lr = [0.0001] +[2024-06-09 18:04:58,275] - INFO: Epoch 3055/9999, Iter 152720: Loss = 0.008706498891115189, lr = [0.0001] +[2024-06-09 18:05:36,840] - INFO: Epoch 3055/9999, Iter 152740: Loss = 0.015147681348025799, lr = [0.0001] +[2024-06-09 18:05:52,612] - INFO: Evaluate at epoch 3055! +[2024-06-09 18:05:56,935] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 18:05:56,935] - INFO: Eval (with pad) PSNR (current): 38.165 (3055) SSIM (current): 0.9613 (3055) +[2024-06-09 18:05:56,936] - INFO: Evaluation over. +[2024-06-09 18:06:23,696] - INFO: Epoch 3056/9999, Iter 152760: Loss = 0.012439661659300327, lr = [0.0001] +[2024-06-09 18:07:03,881] - INFO: Epoch 3056/9999, Iter 152780: Loss = 0.010117791593074799, lr = [0.0001] +[2024-06-09 18:07:42,584] - INFO: Epoch 3057/9999, Iter 152800: Loss = 0.008439582772552967, lr = [0.0001] +[2024-06-09 18:08:22,924] - INFO: Epoch 3057/9999, Iter 152820: Loss = 0.014165489003062248, lr = [0.0001] +[2024-06-09 18:09:01,969] - INFO: Epoch 3057/9999, Iter 152840: Loss = 0.011537080630660057, lr = [0.0001] +[2024-06-09 18:09:39,663] - INFO: Epoch 3058/9999, Iter 152860: Loss = 0.007908716797828674, lr = [0.0001] +[2024-06-09 18:10:19,610] - INFO: Epoch 3058/9999, Iter 152880: Loss = 0.012977163307368755, lr = [0.0001] +[2024-06-09 18:10:59,639] - INFO: Epoch 3059/9999, Iter 152900: Loss = 0.01257255021482706, lr = [0.0001] +[2024-06-09 18:11:40,134] - INFO: Epoch 3059/9999, Iter 152920: Loss = 0.015454021282494068, lr = [0.0001] +[2024-06-09 18:12:21,421] - INFO: Epoch 3059/9999, Iter 152940: Loss = 0.010869663208723068, lr = [0.0001] +[2024-06-09 18:13:02,452] - INFO: Epoch 3060/9999, Iter 152960: Loss = 0.011864004656672478, lr = [0.0001] +[2024-06-09 18:13:43,000] - INFO: Epoch 3060/9999, Iter 152980: Loss = 0.011674315668642521, lr = [0.0001] +[2024-06-09 18:14:16,938] - INFO: Evaluate at epoch 3060! +[2024-06-09 18:14:21,419] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 18:14:21,419] - INFO: Eval (with pad) PSNR (current): 38.126 (3060) SSIM (current): 0.9613 (3060) +[2024-06-09 18:14:21,419] - INFO: Evaluation over. +[2024-06-09 18:14:26,531] - INFO: Epoch 3061/9999, Iter 153000: Loss = 0.012401497922837734, lr = [0.0001] +[2024-06-09 18:15:06,883] - INFO: Epoch 3061/9999, Iter 153020: Loss = 0.017532287165522575, lr = [0.0001] +[2024-06-09 18:15:46,984] - INFO: Epoch 3061/9999, Iter 153040: Loss = 0.014367841184139252, lr = [0.0001] +[2024-06-09 18:16:27,408] - INFO: Epoch 3062/9999, Iter 153060: Loss = 0.01083251740783453, lr = [0.0001] +[2024-06-09 18:17:06,536] - INFO: Epoch 3062/9999, Iter 153080: Loss = 0.01555115170776844, lr = [0.0001] +[2024-06-09 18:17:45,643] - INFO: Epoch 3063/9999, Iter 153100: Loss = 0.01267936546355486, lr = [0.0001] +[2024-06-09 18:18:26,253] - INFO: Epoch 3063/9999, Iter 153120: Loss = 0.012199962511658669, lr = [0.0001] +[2024-06-09 18:19:06,429] - INFO: Epoch 3063/9999, Iter 153140: Loss = 0.011960414238274097, lr = [0.0001] +[2024-06-09 18:19:47,380] - INFO: Epoch 3064/9999, Iter 153160: Loss = 0.019374249503016472, lr = [0.0001] +[2024-06-09 18:20:28,454] - INFO: Epoch 3064/9999, Iter 153180: Loss = 0.013700274750590324, lr = [0.0001] +[2024-06-09 18:21:07,864] - INFO: Epoch 3065/9999, Iter 153200: Loss = 0.013373940251767635, lr = [0.0001] +[2024-06-09 18:21:49,137] - INFO: Epoch 3065/9999, Iter 153220: Loss = 0.013159255497157574, lr = [0.0001] +[2024-06-09 18:22:29,100] - INFO: Epoch 3065/9999, Iter 153240: Loss = 0.008321275934576988, lr = [0.0001] +[2024-06-09 18:22:44,240] - INFO: Evaluate at epoch 3065! +[2024-06-09 18:22:48,487] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 18:22:48,488] - INFO: Eval (with pad) PSNR (current): 38.182 (3065) SSIM (current): 0.9615 (3065) +[2024-06-09 18:22:48,488] - INFO: Evaluation over. +[2024-06-09 18:23:16,016] - INFO: Epoch 3066/9999, Iter 153260: Loss = 0.014066101051867008, lr = [0.0001] +[2024-06-09 18:23:55,883] - INFO: Epoch 3066/9999, Iter 153280: Loss = 0.0133415088057518, lr = [0.0001] +[2024-06-09 18:24:35,160] - INFO: Epoch 3067/9999, Iter 153300: Loss = 0.009527402929961681, lr = [0.0001] +[2024-06-09 18:25:14,340] - INFO: Epoch 3067/9999, Iter 153320: Loss = 0.010059229098260403, lr = [0.0001] +[2024-06-09 18:25:53,270] - INFO: Epoch 3067/9999, Iter 153340: Loss = 0.011496029794216156, lr = [0.0001] +[2024-06-09 18:26:34,028] - INFO: Epoch 3068/9999, Iter 153360: Loss = 0.013165904209017754, lr = [0.0001] +[2024-06-09 18:27:13,392] - INFO: Epoch 3068/9999, Iter 153380: Loss = 0.01169841829687357, lr = [0.0001] +[2024-06-09 18:27:51,044] - INFO: Epoch 3069/9999, Iter 153400: Loss = 0.011923561803996563, lr = [0.0001] +[2024-06-09 18:28:30,112] - INFO: Epoch 3069/9999, Iter 153420: Loss = 0.011416735127568245, lr = [0.0001] +[2024-06-09 18:29:11,074] - INFO: Epoch 3069/9999, Iter 153440: Loss = 0.01613420434296131, lr = [0.0001] +[2024-06-09 18:29:51,774] - INFO: Epoch 3070/9999, Iter 153460: Loss = 0.014221067540347576, lr = [0.0001] +[2024-06-09 18:30:31,894] - INFO: Epoch 3070/9999, Iter 153480: Loss = 0.016030317172408104, lr = [0.0001] +[2024-06-09 18:31:07,151] - INFO: Evaluate at epoch 3070! +[2024-06-09 18:31:11,330] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 18:31:11,330] - INFO: Eval (with pad) PSNR (current): 38.131 (3070) SSIM (current): 0.9613 (3070) +[2024-06-09 18:31:11,330] - INFO: Evaluation over. +[2024-06-09 18:31:16,373] - INFO: Epoch 3071/9999, Iter 153500: Loss = 0.01546248234808445, lr = [0.0001] +[2024-06-09 18:31:58,287] - INFO: Epoch 3071/9999, Iter 153520: Loss = 0.011190177872776985, lr = [0.0001] +[2024-06-09 18:32:36,760] - INFO: Epoch 3071/9999, Iter 153540: Loss = 0.012433082796633244, lr = [0.0001] +[2024-06-09 18:33:17,470] - INFO: Epoch 3072/9999, Iter 153560: Loss = 0.009737367741763592, lr = [0.0001] +[2024-06-09 18:33:56,309] - INFO: Epoch 3072/9999, Iter 153580: Loss = 0.01316167414188385, lr = [0.0001] +[2024-06-09 18:34:35,649] - INFO: Epoch 3073/9999, Iter 153600: Loss = 0.0182914100587368, lr = [0.0001] +[2024-06-09 18:35:17,162] - INFO: Epoch 3073/9999, Iter 153620: Loss = 0.009370572865009308, lr = [0.0001] +[2024-06-09 18:35:55,859] - INFO: Epoch 3073/9999, Iter 153640: Loss = 0.011460226960480213, lr = [0.0001] +[2024-06-09 18:36:36,371] - INFO: Epoch 3074/9999, Iter 153660: Loss = 0.012989068403840065, lr = [0.0001] +[2024-06-09 18:37:15,665] - INFO: Epoch 3074/9999, Iter 153680: Loss = 0.010123212821781635, lr = [0.0001] +[2024-06-09 18:37:55,461] - INFO: Epoch 3075/9999, Iter 153700: Loss = 0.01681600883603096, lr = [0.0001] +[2024-06-09 18:38:34,597] - INFO: Epoch 3075/9999, Iter 153720: Loss = 0.015525142662227154, lr = [0.0001] +[2024-06-09 18:39:15,516] - INFO: Epoch 3075/9999, Iter 153740: Loss = 0.011968056671321392, lr = [0.0001] +[2024-06-09 18:39:31,596] - INFO: Evaluate at epoch 3075! +[2024-06-09 18:39:35,813] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 18:39:35,814] - INFO: Eval (with pad) PSNR (current): 38.145 (3075) SSIM (current): 0.9614 (3075) +[2024-06-09 18:39:35,814] - INFO: Evaluation over. +[2024-06-09 18:40:02,397] - INFO: Epoch 3076/9999, Iter 153760: Loss = 0.008796965703368187, lr = [0.0001] +[2024-06-09 18:40:39,938] - INFO: Epoch 3076/9999, Iter 153780: Loss = 0.008223159238696098, lr = [0.0001] +[2024-06-09 18:41:19,812] - INFO: Epoch 3077/9999, Iter 153800: Loss = 0.007077000103890896, lr = [0.0001] +[2024-06-09 18:42:00,084] - INFO: Epoch 3077/9999, Iter 153820: Loss = 0.011978796683251858, lr = [0.0001] +[2024-06-09 18:42:41,314] - INFO: Epoch 3077/9999, Iter 153840: Loss = 0.010696749202907085, lr = [0.0001] +[2024-06-09 18:43:21,508] - INFO: Epoch 3078/9999, Iter 153860: Loss = 0.011030896566808224, lr = [0.0001] +[2024-06-09 18:44:01,106] - INFO: Epoch 3078/9999, Iter 153880: Loss = 0.008798477239906788, lr = [0.0001] +[2024-06-09 18:44:40,260] - INFO: Epoch 3079/9999, Iter 153900: Loss = 0.011508780531585217, lr = [0.0001] +[2024-06-09 18:45:20,694] - INFO: Epoch 3079/9999, Iter 153920: Loss = 0.01743081398308277, lr = [0.0001] +[2024-06-09 18:45:58,679] - INFO: Epoch 3079/9999, Iter 153940: Loss = 0.011712484061717987, lr = [0.0001] +[2024-06-09 18:46:38,380] - INFO: Epoch 3080/9999, Iter 153960: Loss = 0.01348752249032259, lr = [0.0001] +[2024-06-09 18:47:18,667] - INFO: Epoch 3080/9999, Iter 153980: Loss = 0.010710149072110653, lr = [0.0001] +[2024-06-09 18:47:53,566] - INFO: Evaluate at epoch 3080! +[2024-06-09 18:47:58,028] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 18:47:58,028] - INFO: Eval (with pad) PSNR (current): 38.121 (3080) SSIM (current): 0.9612 (3080) +[2024-06-09 18:47:58,028] - INFO: Evaluation over. +[2024-06-09 18:48:03,327] - INFO: Epoch 3081/9999, Iter 154000: Loss = 0.011057251133024693, lr = [0.0001] +[2024-06-09 18:48:43,720] - INFO: Epoch 3081/9999, Iter 154020: Loss = 0.0120352478697896, lr = [0.0001] +[2024-06-09 18:49:24,273] - INFO: Epoch 3081/9999, Iter 154040: Loss = 0.011082039214670658, lr = [0.0001] +[2024-06-09 18:50:03,328] - INFO: Epoch 3082/9999, Iter 154060: Loss = 0.012045539915561676, lr = [0.0001] +[2024-06-09 18:50:42,263] - INFO: Epoch 3082/9999, Iter 154080: Loss = 0.012728940695524216, lr = [0.0001] +[2024-06-09 18:51:21,844] - INFO: Epoch 3083/9999, Iter 154100: Loss = 0.014664696529507637, lr = [0.0001] +[2024-06-09 18:52:02,950] - INFO: Epoch 3083/9999, Iter 154120: Loss = 0.01084444485604763, lr = [0.0001] +[2024-06-09 18:52:43,125] - INFO: Epoch 3083/9999, Iter 154140: Loss = 0.013212625868618488, lr = [0.0001] +[2024-06-09 18:53:22,806] - INFO: Epoch 3084/9999, Iter 154160: Loss = 0.012374048121273518, lr = [0.0001] +[2024-06-09 18:54:02,658] - INFO: Epoch 3084/9999, Iter 154180: Loss = 0.00957408919930458, lr = [0.0001] +[2024-06-09 18:54:41,873] - INFO: Epoch 3085/9999, Iter 154200: Loss = 0.013138512149453163, lr = [0.0001] +[2024-06-09 18:55:23,178] - INFO: Epoch 3085/9999, Iter 154220: Loss = 0.01879098266363144, lr = [0.0001] +[2024-06-09 18:56:01,740] - INFO: Epoch 3085/9999, Iter 154240: Loss = 0.012042044661939144, lr = [0.0001] +[2024-06-09 18:56:17,606] - INFO: Evaluate at epoch 3085! +[2024-06-09 18:56:22,271] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 18:56:22,271] - INFO: Eval (with pad) PSNR (current): 38.121 (3085) SSIM (current): 0.9613 (3085) +[2024-06-09 18:56:22,271] - INFO: Evaluation over. +[2024-06-09 18:56:48,444] - INFO: Epoch 3086/9999, Iter 154260: Loss = 0.01206230092793703, lr = [0.0001] +[2024-06-09 18:57:29,293] - INFO: Epoch 3086/9999, Iter 154280: Loss = 0.009694335982203484, lr = [0.0001] +[2024-06-09 18:58:08,098] - INFO: Epoch 3087/9999, Iter 154300: Loss = 0.017098089680075645, lr = [0.0001] +[2024-06-09 18:58:48,962] - INFO: Epoch 3087/9999, Iter 154320: Loss = 0.016368849202990532, lr = [0.0001] +[2024-06-09 18:59:29,133] - INFO: Epoch 3087/9999, Iter 154340: Loss = 0.017154179513454437, lr = [0.0001] +[2024-06-09 19:00:09,129] - INFO: Epoch 3088/9999, Iter 154360: Loss = 0.00743230851367116, lr = [0.0001] +[2024-06-09 19:00:50,473] - INFO: Epoch 3088/9999, Iter 154380: Loss = 0.014890401624143124, lr = [0.0001] +[2024-06-09 19:01:30,116] - INFO: Epoch 3089/9999, Iter 154400: Loss = 0.01586209610104561, lr = [0.0001] +[2024-06-09 19:02:11,541] - INFO: Epoch 3089/9999, Iter 154420: Loss = 0.009962266311049461, lr = [0.0001] +[2024-06-09 19:02:52,383] - INFO: Epoch 3089/9999, Iter 154440: Loss = 0.010914873331785202, lr = [0.0001] +[2024-06-09 19:03:32,360] - INFO: Epoch 3090/9999, Iter 154460: Loss = 0.008444619365036488, lr = [0.0001] +[2024-06-09 19:04:11,821] - INFO: Epoch 3090/9999, Iter 154480: Loss = 0.013806503266096115, lr = [0.0001] +[2024-06-09 19:04:46,853] - INFO: Evaluate at epoch 3090! +[2024-06-09 19:04:51,550] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 19:04:51,550] - INFO: Eval (with pad) PSNR (current): 38.159 (3090) SSIM (current): 0.9612 (3090) +[2024-06-09 19:04:51,550] - INFO: Evaluation over. +[2024-06-09 19:04:57,150] - INFO: Epoch 3091/9999, Iter 154500: Loss = 0.018079368397593498, lr = [0.0001] +[2024-06-09 19:05:38,887] - INFO: Epoch 3091/9999, Iter 154520: Loss = 0.007441014517098665, lr = [0.0001] +[2024-06-09 19:06:19,374] - INFO: Epoch 3091/9999, Iter 154540: Loss = 0.011534388177096844, lr = [0.0001] +[2024-06-09 19:07:00,127] - INFO: Epoch 3092/9999, Iter 154560: Loss = 0.011045612394809723, lr = [0.0001] +[2024-06-09 19:07:40,924] - INFO: Epoch 3092/9999, Iter 154580: Loss = 0.01328899897634983, lr = [0.0001] +[2024-06-09 19:08:21,913] - INFO: Epoch 3093/9999, Iter 154600: Loss = 0.010200957767665386, lr = [0.0001] +[2024-06-09 19:09:03,084] - INFO: Epoch 3093/9999, Iter 154620: Loss = 0.011002494022250175, lr = [0.0001] +[2024-06-09 19:09:41,758] - INFO: Epoch 3093/9999, Iter 154640: Loss = 0.011995666660368443, lr = [0.0001] +[2024-06-09 19:10:23,987] - INFO: Epoch 3094/9999, Iter 154660: Loss = 0.014682416804134846, lr = [0.0001] +[2024-06-09 19:11:03,405] - INFO: Epoch 3094/9999, Iter 154680: Loss = 0.011332924477756023, lr = [0.0001] +[2024-06-09 19:11:42,871] - INFO: Epoch 3095/9999, Iter 154700: Loss = 0.014821993187069893, lr = [0.0001] +[2024-06-09 19:12:22,361] - INFO: Epoch 3095/9999, Iter 154720: Loss = 0.009445847012102604, lr = [0.0001] +[2024-06-09 19:13:00,872] - INFO: Epoch 3095/9999, Iter 154740: Loss = 0.012171244248747826, lr = [0.0001] +[2024-06-09 19:13:17,061] - INFO: Evaluate at epoch 3095! +[2024-06-09 19:13:21,421] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 19:13:21,421] - INFO: Eval (with pad) PSNR (current): 38.131 (3095) SSIM (current): 0.9613 (3095) +[2024-06-09 19:13:21,421] - INFO: Evaluation over. +[2024-06-09 19:13:48,149] - INFO: Epoch 3096/9999, Iter 154760: Loss = 0.007993905805051327, lr = [0.0001] +[2024-06-09 19:14:28,065] - INFO: Epoch 3096/9999, Iter 154780: Loss = 0.015510101802647114, lr = [0.0001] +[2024-06-09 19:15:08,079] - INFO: Epoch 3097/9999, Iter 154800: Loss = 0.01270791981369257, lr = [0.0001] +[2024-06-09 19:15:48,406] - INFO: Epoch 3097/9999, Iter 154820: Loss = 0.014561585150659084, lr = [0.0001] +[2024-06-09 19:16:27,712] - INFO: Epoch 3097/9999, Iter 154840: Loss = 0.009027296677231789, lr = [0.0001] +[2024-06-09 19:17:06,504] - INFO: Epoch 3098/9999, Iter 154860: Loss = 0.012974864803254604, lr = [0.0001] +[2024-06-09 19:17:47,003] - INFO: Epoch 3098/9999, Iter 154880: Loss = 0.010062030516564846, lr = [0.0001] +[2024-06-09 19:18:25,986] - INFO: Epoch 3099/9999, Iter 154900: Loss = 0.015558062121272087, lr = [0.0001] +[2024-06-09 19:19:07,078] - INFO: Epoch 3099/9999, Iter 154920: Loss = 0.007673817686736584, lr = [0.0001] +[2024-06-09 19:19:45,860] - INFO: Epoch 3099/9999, Iter 154940: Loss = 0.012586143799126148, lr = [0.0001] +[2024-06-09 19:20:25,152] - INFO: Epoch 3100/9999, Iter 154960: Loss = 0.011797361075878143, lr = [0.0001] +[2024-06-09 19:21:04,006] - INFO: Epoch 3100/9999, Iter 154980: Loss = 0.01382145844399929, lr = [0.0001] +[2024-06-09 19:21:39,538] - INFO: Evaluate at epoch 3100! +[2024-06-09 19:21:43,881] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 19:21:43,881] - INFO: Eval (with pad) PSNR (current): 38.179 (3100) SSIM (current): 0.9613 (3100) +[2024-06-09 19:21:43,881] - INFO: Evaluation over. +[2024-06-09 19:21:49,557] - INFO: Epoch 3101/9999, Iter 155000: Loss = 0.011899922974407673, lr = [0.0001] +[2024-06-09 19:22:30,221] - INFO: Epoch 3101/9999, Iter 155020: Loss = 0.00976557470858097, lr = [0.0001] +[2024-06-09 19:23:09,619] - INFO: Epoch 3101/9999, Iter 155040: Loss = 0.013650589622557163, lr = [0.0001] +[2024-06-09 19:23:51,381] - INFO: Epoch 3102/9999, Iter 155060: Loss = 0.009457284584641457, lr = [0.0001] +[2024-06-09 19:24:30,310] - INFO: Epoch 3102/9999, Iter 155080: Loss = 0.00910827238112688, lr = [0.0001] +[2024-06-09 19:25:10,531] - INFO: Epoch 3103/9999, Iter 155100: Loss = 0.014479008503258228, lr = [0.0001] +[2024-06-09 19:25:50,340] - INFO: Epoch 3103/9999, Iter 155120: Loss = 0.018044916912913322, lr = [0.0001] +[2024-06-09 19:26:30,222] - INFO: Epoch 3103/9999, Iter 155140: Loss = 0.010058611631393433, lr = [0.0001] +[2024-06-09 19:27:10,398] - INFO: Epoch 3104/9999, Iter 155160: Loss = 0.010167062282562256, lr = [0.0001] +[2024-06-09 19:27:51,036] - INFO: Epoch 3104/9999, Iter 155180: Loss = 0.011014661751687527, lr = [0.0001] +[2024-06-09 19:28:30,701] - INFO: Epoch 3105/9999, Iter 155200: Loss = 0.009105424396693707, lr = [0.0001] +[2024-06-09 19:29:11,599] - INFO: Epoch 3105/9999, Iter 155220: Loss = 0.010507488623261452, lr = [0.0001] +[2024-06-09 19:29:50,810] - INFO: Epoch 3105/9999, Iter 155240: Loss = 0.012994972057640553, lr = [0.0001] +[2024-06-09 19:30:06,528] - INFO: Evaluate at epoch 3105! +[2024-06-09 19:30:10,812] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 19:30:10,812] - INFO: Eval (with pad) PSNR (current): 38.189 (3105) SSIM (current): 0.9614 (3105) +[2024-06-09 19:30:10,812] - INFO: Evaluation over. +[2024-06-09 19:30:35,989] - INFO: Epoch 3106/9999, Iter 155260: Loss = 0.007741216570138931, lr = [0.0001] +[2024-06-09 19:31:17,391] - INFO: Epoch 3106/9999, Iter 155280: Loss = 0.011742891743779182, lr = [0.0001] +[2024-06-09 19:31:58,082] - INFO: Epoch 3107/9999, Iter 155300: Loss = 0.009463720954954624, lr = [0.0001] +[2024-06-09 19:32:38,374] - INFO: Epoch 3107/9999, Iter 155320: Loss = 0.01141280122101307, lr = [0.0001] +[2024-06-09 19:33:18,041] - INFO: Epoch 3107/9999, Iter 155340: Loss = 0.012453286908566952, lr = [0.0001] +[2024-06-09 19:33:59,859] - INFO: Epoch 3108/9999, Iter 155360: Loss = 0.009568370878696442, lr = [0.0001] +[2024-06-09 19:34:39,569] - INFO: Epoch 3108/9999, Iter 155380: Loss = 0.009191635996103287, lr = [0.0001] +[2024-06-09 19:35:19,827] - INFO: Epoch 3109/9999, Iter 155400: Loss = 0.011378247290849686, lr = [0.0001] +[2024-06-09 19:36:00,641] - INFO: Epoch 3109/9999, Iter 155420: Loss = 0.011670684441924095, lr = [0.0001] +[2024-06-09 19:36:41,132] - INFO: Epoch 3109/9999, Iter 155440: Loss = 0.013638806529343128, lr = [0.0001] +[2024-06-09 19:37:20,556] - INFO: Epoch 3110/9999, Iter 155460: Loss = 0.0058736479841172695, lr = [0.0001] +[2024-06-09 19:37:59,935] - INFO: Epoch 3110/9999, Iter 155480: Loss = 0.014526605606079102, lr = [0.0001] +[2024-06-09 19:38:35,173] - INFO: Evaluate at epoch 3110! +[2024-06-09 19:38:39,481] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 19:38:39,481] - INFO: Eval (with pad) PSNR (current): 38.162 (3110) SSIM (current): 0.9614 (3110) +[2024-06-09 19:38:39,481] - INFO: Evaluation over. +[2024-06-09 19:38:45,158] - INFO: Epoch 3111/9999, Iter 155500: Loss = 0.013058404438197613, lr = [0.0001] +[2024-06-09 19:39:24,568] - INFO: Epoch 3111/9999, Iter 155520: Loss = 0.011196439154446125, lr = [0.0001] +[2024-06-09 19:40:04,605] - INFO: Epoch 3111/9999, Iter 155540: Loss = 0.012777667492628098, lr = [0.0001] +[2024-06-09 19:40:46,658] - INFO: Epoch 3112/9999, Iter 155560: Loss = 0.01350400410592556, lr = [0.0001] +[2024-06-09 19:41:25,867] - INFO: Epoch 3112/9999, Iter 155580: Loss = 0.014765040017664433, lr = [0.0001] +[2024-06-09 19:42:04,750] - INFO: Epoch 3113/9999, Iter 155600: Loss = 0.024811426177620888, lr = [0.0001] +[2024-06-09 19:42:46,607] - INFO: Epoch 3113/9999, Iter 155620: Loss = 0.013348095118999481, lr = [0.0001] +[2024-06-09 19:43:26,240] - INFO: Epoch 3113/9999, Iter 155640: Loss = 0.01543078850954771, lr = [0.0001] +[2024-06-09 19:44:05,297] - INFO: Epoch 3114/9999, Iter 155660: Loss = 0.00883600302040577, lr = [0.0001] +[2024-06-09 19:44:44,439] - INFO: Epoch 3114/9999, Iter 155680: Loss = 0.011976920999586582, lr = [0.0001] +[2024-06-09 19:45:22,945] - INFO: Epoch 3115/9999, Iter 155700: Loss = 0.009956274181604385, lr = [0.0001] +[2024-06-09 19:46:03,330] - INFO: Epoch 3115/9999, Iter 155720: Loss = 0.01049422100186348, lr = [0.0001] +[2024-06-09 19:46:42,856] - INFO: Epoch 3115/9999, Iter 155740: Loss = 0.016632672399282455, lr = [0.0001] +[2024-06-09 19:46:58,403] - INFO: Evaluate at epoch 3115! +[2024-06-09 19:47:02,926] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 19:47:02,927] - INFO: Eval (with pad) PSNR (current): 38.166 (3115) SSIM (current): 0.9613 (3115) +[2024-06-09 19:47:02,927] - INFO: Evaluation over. +[2024-06-09 19:47:27,685] - INFO: Epoch 3116/9999, Iter 155760: Loss = 0.019370483234524727, lr = [0.0001] +[2024-06-09 19:48:08,851] - INFO: Epoch 3116/9999, Iter 155780: Loss = 0.01473796833306551, lr = [0.0001] +[2024-06-09 19:48:48,839] - INFO: Epoch 3117/9999, Iter 155800: Loss = 0.0169681329280138, lr = [0.0001] +[2024-06-09 19:49:29,682] - INFO: Epoch 3117/9999, Iter 155820: Loss = 0.012358742766082287, lr = [0.0001] +[2024-06-09 19:50:09,013] - INFO: Epoch 3117/9999, Iter 155840: Loss = 0.014113088138401508, lr = [0.0001] +[2024-06-09 19:50:47,883] - INFO: Epoch 3118/9999, Iter 155860: Loss = 0.016540614888072014, lr = [0.0001] +[2024-06-09 19:51:28,418] - INFO: Epoch 3118/9999, Iter 155880: Loss = 0.013140845112502575, lr = [0.0001] +[2024-06-09 19:52:07,877] - INFO: Epoch 3119/9999, Iter 155900: Loss = 0.011674182489514351, lr = [0.0001] +[2024-06-09 19:52:49,419] - INFO: Epoch 3119/9999, Iter 155920: Loss = 0.006864592898637056, lr = [0.0001] +[2024-06-09 19:53:28,395] - INFO: Epoch 3119/9999, Iter 155940: Loss = 0.009449489414691925, lr = [0.0001] +[2024-06-09 19:54:09,208] - INFO: Epoch 3120/9999, Iter 155960: Loss = 0.00827820785343647, lr = [0.0001] +[2024-06-09 19:54:48,509] - INFO: Epoch 3120/9999, Iter 155980: Loss = 0.01476234756410122, lr = [0.0001] +[2024-06-09 19:55:23,441] - INFO: Evaluate at epoch 3120! +[2024-06-09 19:55:27,728] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 19:55:27,728] - INFO: Eval (with pad) PSNR (current): 38.159 (3120) SSIM (current): 0.9614 (3120) +[2024-06-09 19:55:27,728] - INFO: Evaluation over. +[2024-06-09 19:55:33,226] - INFO: Epoch 3121/9999, Iter 156000: Loss = 0.012152832001447678, lr = [0.0001] +[2024-06-09 19:56:13,615] - INFO: Epoch 3121/9999, Iter 156020: Loss = 0.01793058030307293, lr = [0.0001] +[2024-06-09 19:56:53,956] - INFO: Epoch 3121/9999, Iter 156040: Loss = 0.010022232308983803, lr = [0.0001] +[2024-06-09 19:57:35,962] - INFO: Epoch 3122/9999, Iter 156060: Loss = 0.016529910266399384, lr = [0.0001] +[2024-06-09 19:58:16,744] - INFO: Epoch 3122/9999, Iter 156080: Loss = 0.010569564066827297, lr = [0.0001] +[2024-06-09 19:58:56,071] - INFO: Epoch 3123/9999, Iter 156100: Loss = 0.013025010004639626, lr = [0.0001] +[2024-06-09 19:59:37,524] - INFO: Epoch 3123/9999, Iter 156120: Loss = 0.0203256793320179, lr = [0.0001] +[2024-06-09 20:00:18,366] - INFO: Epoch 3123/9999, Iter 156140: Loss = 0.009932074695825577, lr = [0.0001] +[2024-06-09 20:00:57,969] - INFO: Epoch 3124/9999, Iter 156160: Loss = 0.012979008257389069, lr = [0.0001] +[2024-06-09 20:01:37,834] - INFO: Epoch 3124/9999, Iter 156180: Loss = 0.009421116672456264, lr = [0.0001] +[2024-06-09 20:02:18,092] - INFO: Epoch 3125/9999, Iter 156200: Loss = 0.009775697253644466, lr = [0.0001] +[2024-06-09 20:03:00,269] - INFO: Epoch 3125/9999, Iter 156220: Loss = 0.018133100122213364, lr = [0.0001] +[2024-06-09 20:03:37,839] - INFO: Epoch 3125/9999, Iter 156240: Loss = 0.01523679494857788, lr = [0.0001] +[2024-06-09 20:03:53,476] - INFO: Evaluate at epoch 3125! +[2024-06-09 20:03:57,769] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 20:03:57,770] - INFO: Eval (with pad) PSNR (current): 38.157 (3125) SSIM (current): 0.9614 (3125) +[2024-06-09 20:03:57,770] - INFO: Evaluation over. +[2024-06-09 20:04:23,429] - INFO: Epoch 3126/9999, Iter 156260: Loss = 0.01230703666806221, lr = [0.0001] +[2024-06-09 20:05:02,230] - INFO: Epoch 3126/9999, Iter 156280: Loss = 0.00892110075801611, lr = [0.0001] +[2024-06-09 20:05:42,089] - INFO: Epoch 3127/9999, Iter 156300: Loss = 0.012271738611161709, lr = [0.0001] +[2024-06-09 20:06:22,637] - INFO: Epoch 3127/9999, Iter 156320: Loss = 0.015019564889371395, lr = [0.0001] +[2024-06-09 20:07:02,158] - INFO: Epoch 3127/9999, Iter 156340: Loss = 0.021017761901021004, lr = [0.0001] +[2024-06-09 20:07:42,014] - INFO: Epoch 3128/9999, Iter 156360: Loss = 0.013171465136110783, lr = [0.0001] +[2024-06-09 20:08:22,670] - INFO: Epoch 3128/9999, Iter 156380: Loss = 0.013074623420834541, lr = [0.0001] +[2024-06-09 20:09:01,331] - INFO: Epoch 3129/9999, Iter 156400: Loss = 0.018230991438031197, lr = [0.0001] +[2024-06-09 20:09:41,895] - INFO: Epoch 3129/9999, Iter 156420: Loss = 0.011530528776347637, lr = [0.0001] +[2024-06-09 20:10:20,986] - INFO: Epoch 3129/9999, Iter 156440: Loss = 0.015922660008072853, lr = [0.0001] +[2024-06-09 20:11:01,933] - INFO: Epoch 3130/9999, Iter 156460: Loss = 0.013785813935101032, lr = [0.0001] +[2024-06-09 20:11:42,418] - INFO: Epoch 3130/9999, Iter 156480: Loss = 0.010846340097486973, lr = [0.0001] +[2024-06-09 20:12:18,550] - INFO: Evaluate at epoch 3130! +[2024-06-09 20:12:22,948] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 20:12:22,948] - INFO: Eval (with pad) PSNR (current): 38.144 (3130) SSIM (current): 0.9612 (3130) +[2024-06-09 20:12:22,948] - INFO: Evaluation over. +[2024-06-09 20:12:28,404] - INFO: Epoch 3131/9999, Iter 156500: Loss = 0.011531834490597248, lr = [0.0001] +[2024-06-09 20:13:09,375] - INFO: Epoch 3131/9999, Iter 156520: Loss = 0.012778724543750286, lr = [0.0001] +[2024-06-09 20:13:49,338] - INFO: Epoch 3131/9999, Iter 156540: Loss = 0.00905282236635685, lr = [0.0001] +[2024-06-09 20:14:29,352] - INFO: Epoch 3132/9999, Iter 156560: Loss = 0.010234017856419086, lr = [0.0001] +[2024-06-09 20:15:09,903] - INFO: Epoch 3132/9999, Iter 156580: Loss = 0.013907622545957565, lr = [0.0001] +[2024-06-09 20:15:48,857] - INFO: Epoch 3133/9999, Iter 156600: Loss = 0.01131779607385397, lr = [0.0001] +[2024-06-09 20:16:30,280] - INFO: Epoch 3133/9999, Iter 156620: Loss = 0.013745824806392193, lr = [0.0001] +[2024-06-09 20:17:10,196] - INFO: Epoch 3133/9999, Iter 156640: Loss = 0.009084501303732395, lr = [0.0001] +[2024-06-09 20:17:49,615] - INFO: Epoch 3134/9999, Iter 156660: Loss = 0.008640955202281475, lr = [0.0001] +[2024-06-09 20:18:29,707] - INFO: Epoch 3134/9999, Iter 156680: Loss = 0.01591823436319828, lr = [0.0001] +[2024-06-09 20:19:07,842] - INFO: Epoch 3135/9999, Iter 156700: Loss = 0.007904107682406902, lr = [0.0001] +[2024-06-09 20:19:47,478] - INFO: Epoch 3135/9999, Iter 156720: Loss = 0.0125350970774889, lr = [0.0001] +[2024-06-09 20:20:25,340] - INFO: Epoch 3135/9999, Iter 156740: Loss = 0.008676289580762386, lr = [0.0001] +[2024-06-09 20:20:40,897] - INFO: Evaluate at epoch 3135! +[2024-06-09 20:20:45,291] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 20:20:45,292] - INFO: Eval (with pad) PSNR (current): 38.150 (3135) SSIM (current): 0.9614 (3135) +[2024-06-09 20:20:45,292] - INFO: Evaluation over. +[2024-06-09 20:21:10,306] - INFO: Epoch 3136/9999, Iter 156760: Loss = 0.011460535228252411, lr = [0.0001] +[2024-06-09 20:21:50,129] - INFO: Epoch 3136/9999, Iter 156780: Loss = 0.00955716148018837, lr = [0.0001] +[2024-06-09 20:22:29,442] - INFO: Epoch 3137/9999, Iter 156800: Loss = 0.010991308838129044, lr = [0.0001] +[2024-06-09 20:23:12,899] - INFO: Epoch 3137/9999, Iter 156820: Loss = 0.01647760160267353, lr = [0.0001] +[2024-06-09 20:23:51,249] - INFO: Epoch 3137/9999, Iter 156840: Loss = 0.012428048998117447, lr = [0.0001] +[2024-06-09 20:24:29,066] - INFO: Epoch 3138/9999, Iter 156860: Loss = 0.012410799972712994, lr = [0.0001] +[2024-06-09 20:25:09,517] - INFO: Epoch 3138/9999, Iter 156880: Loss = 0.010527725331485271, lr = [0.0001] +[2024-06-09 20:25:47,999] - INFO: Epoch 3139/9999, Iter 156900: Loss = 0.01076455507427454, lr = [0.0001] +[2024-06-09 20:26:30,349] - INFO: Epoch 3139/9999, Iter 156920: Loss = 0.012706690467894077, lr = [0.0001] +[2024-06-09 20:27:09,345] - INFO: Epoch 3139/9999, Iter 156940: Loss = 0.011684734374284744, lr = [0.0001] +[2024-06-09 20:27:49,468] - INFO: Epoch 3140/9999, Iter 156960: Loss = 0.018848445266485214, lr = [0.0001] +[2024-06-09 20:28:27,823] - INFO: Epoch 3140/9999, Iter 156980: Loss = 0.012217305600643158, lr = [0.0001] +[2024-06-09 20:29:03,589] - INFO: Evaluate at epoch 3140! +[2024-06-09 20:29:07,919] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 20:29:07,919] - INFO: Eval (with pad) PSNR (current): 38.158 (3140) SSIM (current): 0.9613 (3140) +[2024-06-09 20:29:07,919] - INFO: Evaluation over. +[2024-06-09 20:29:13,616] - INFO: Epoch 3141/9999, Iter 157000: Loss = 0.012528232298791409, lr = [0.0001] +[2024-06-09 20:29:53,114] - INFO: Epoch 3141/9999, Iter 157020: Loss = 0.008403741754591465, lr = [0.0001] +[2024-06-09 20:30:32,629] - INFO: Epoch 3141/9999, Iter 157040: Loss = 0.012314907275140285, lr = [0.0001] +[2024-06-09 20:31:15,181] - INFO: Epoch 3142/9999, Iter 157060: Loss = 0.015307706780731678, lr = [0.0001] +[2024-06-09 20:31:54,365] - INFO: Epoch 3142/9999, Iter 157080: Loss = 0.008382657542824745, lr = [0.0001] +[2024-06-09 20:32:33,579] - INFO: Epoch 3143/9999, Iter 157100: Loss = 0.01076442375779152, lr = [0.0001] +[2024-06-09 20:33:15,169] - INFO: Epoch 3143/9999, Iter 157120: Loss = 0.013606985099613667, lr = [0.0001] +[2024-06-09 20:33:55,036] - INFO: Epoch 3143/9999, Iter 157140: Loss = 0.012576143257319927, lr = [0.0001] +[2024-06-09 20:34:37,039] - INFO: Epoch 3144/9999, Iter 157160: Loss = 0.017403926700353622, lr = [0.0001] +[2024-06-09 20:35:16,802] - INFO: Epoch 3144/9999, Iter 157180: Loss = 0.0157347209751606, lr = [0.0001] +[2024-06-09 20:35:54,469] - INFO: Epoch 3145/9999, Iter 157200: Loss = 0.015879658982157707, lr = [0.0001] +[2024-06-09 20:36:34,720] - INFO: Epoch 3145/9999, Iter 157220: Loss = 0.011368946172297001, lr = [0.0001] +[2024-06-09 20:37:14,049] - INFO: Epoch 3145/9999, Iter 157240: Loss = 0.01154247671365738, lr = [0.0001] +[2024-06-09 20:37:29,770] - INFO: Evaluate at epoch 3145! +[2024-06-09 20:37:34,099] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 20:37:34,099] - INFO: Eval (with pad) PSNR (current): 38.130 (3145) SSIM (current): 0.9612 (3145) +[2024-06-09 20:37:34,099] - INFO: Evaluation over. +[2024-06-09 20:37:59,771] - INFO: Epoch 3146/9999, Iter 157260: Loss = 0.01450170949101448, lr = [0.0001] +[2024-06-09 20:38:40,483] - INFO: Epoch 3146/9999, Iter 157280: Loss = 0.016576914116740227, lr = [0.0001] +[2024-06-09 20:39:20,617] - INFO: Epoch 3147/9999, Iter 157300: Loss = 0.01509550865739584, lr = [0.0001] +[2024-06-09 20:40:01,260] - INFO: Epoch 3147/9999, Iter 157320: Loss = 0.01040067058056593, lr = [0.0001] +[2024-06-09 20:40:42,143] - INFO: Epoch 3147/9999, Iter 157340: Loss = 0.012575567699968815, lr = [0.0001] +[2024-06-09 20:41:22,017] - INFO: Epoch 3148/9999, Iter 157360: Loss = 0.016862107440829277, lr = [0.0001] +[2024-06-09 20:42:02,297] - INFO: Epoch 3148/9999, Iter 157380: Loss = 0.012286513112485409, lr = [0.0001] +[2024-06-09 20:42:42,490] - INFO: Epoch 3149/9999, Iter 157400: Loss = 0.012529224157333374, lr = [0.0001] +[2024-06-09 20:43:22,747] - INFO: Epoch 3149/9999, Iter 157420: Loss = 0.013508002273738384, lr = [0.0001] +[2024-06-09 20:44:03,667] - INFO: Epoch 3149/9999, Iter 157440: Loss = 0.011564793065190315, lr = [0.0001] +[2024-06-09 20:44:44,164] - INFO: Epoch 3150/9999, Iter 157460: Loss = 0.01501209195703268, lr = [0.0001] +[2024-06-09 20:45:22,791] - INFO: Epoch 3150/9999, Iter 157480: Loss = 0.011077563278377056, lr = [0.0001] +[2024-06-09 20:45:59,073] - INFO: Evaluate at epoch 3150! +[2024-06-09 20:46:03,330] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 20:46:03,330] - INFO: Eval (with pad) PSNR (current): 38.168 (3150) SSIM (current): 0.9614 (3150) +[2024-06-09 20:46:03,330] - INFO: Evaluation over. +[2024-06-09 20:46:08,791] - INFO: Epoch 3151/9999, Iter 157500: Loss = 0.02078814059495926, lr = [0.0001] +[2024-06-09 20:46:49,548] - INFO: Epoch 3151/9999, Iter 157520: Loss = 0.013921113684773445, lr = [0.0001] +[2024-06-09 20:47:28,440] - INFO: Epoch 3151/9999, Iter 157540: Loss = 0.018560105934739113, lr = [0.0001] +[2024-06-09 20:48:06,788] - INFO: Epoch 3152/9999, Iter 157560: Loss = 0.0154480105265975, lr = [0.0001] +[2024-06-09 20:48:48,059] - INFO: Epoch 3152/9999, Iter 157580: Loss = 0.016651270911097527, lr = [0.0001] +[2024-06-09 20:49:26,492] - INFO: Epoch 3153/9999, Iter 157600: Loss = 0.014206573367118835, lr = [0.0001] +[2024-06-09 20:50:05,898] - INFO: Epoch 3153/9999, Iter 157620: Loss = 0.010339774191379547, lr = [0.0001] +[2024-06-09 20:50:44,715] - INFO: Epoch 3153/9999, Iter 157640: Loss = 0.011644887737929821, lr = [0.0001] +[2024-06-09 20:51:27,037] - INFO: Epoch 3154/9999, Iter 157660: Loss = 0.011946863494813442, lr = [0.0001] +[2024-06-09 20:52:06,807] - INFO: Epoch 3154/9999, Iter 157680: Loss = 0.013079524040222168, lr = [0.0001] +[2024-06-09 20:52:46,516] - INFO: Epoch 3155/9999, Iter 157700: Loss = 0.01216906774789095, lr = [0.0001] +[2024-06-09 20:53:27,072] - INFO: Epoch 3155/9999, Iter 157720: Loss = 0.011608666740357876, lr = [0.0001] +[2024-06-09 20:54:07,859] - INFO: Epoch 3155/9999, Iter 157740: Loss = 0.01119927130639553, lr = [0.0001] +[2024-06-09 20:54:24,164] - INFO: Evaluate at epoch 3155! +[2024-06-09 20:54:28,506] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 20:54:28,506] - INFO: Eval (with pad) PSNR (current): 38.038 (3155) SSIM (current): 0.9613 (3155) +[2024-06-09 20:54:28,506] - INFO: Evaluation over. +[2024-06-09 20:54:53,496] - INFO: Epoch 3156/9999, Iter 157760: Loss = 0.006938996259123087, lr = [0.0001] +[2024-06-09 20:55:34,431] - INFO: Epoch 3156/9999, Iter 157780: Loss = 0.011653924360871315, lr = [0.0001] +[2024-06-09 20:56:13,192] - INFO: Epoch 3157/9999, Iter 157800: Loss = 0.01097557507455349, lr = [0.0001] +[2024-06-09 20:56:54,895] - INFO: Epoch 3157/9999, Iter 157820: Loss = 0.015343669801950455, lr = [0.0001] +[2024-06-09 20:57:34,975] - INFO: Epoch 3157/9999, Iter 157840: Loss = 0.014338934794068336, lr = [0.0001] +[2024-06-09 20:58:14,384] - INFO: Epoch 3158/9999, Iter 157860: Loss = 0.012249454855918884, lr = [0.0001] +[2024-06-09 20:58:54,891] - INFO: Epoch 3158/9999, Iter 157880: Loss = 0.012678204104304314, lr = [0.0001] +[2024-06-09 20:59:32,426] - INFO: Epoch 3159/9999, Iter 157900: Loss = 0.011260292492806911, lr = [0.0001] +[2024-06-09 21:00:13,312] - INFO: Epoch 3159/9999, Iter 157920: Loss = 0.014514143578708172, lr = [0.0001] +[2024-06-09 21:00:52,967] - INFO: Epoch 3159/9999, Iter 157940: Loss = 0.013886493630707264, lr = [0.0001] +[2024-06-09 21:01:34,248] - INFO: Epoch 3160/9999, Iter 157960: Loss = 0.015108565799891949, lr = [0.0001] +[2024-06-09 21:02:14,367] - INFO: Epoch 3160/9999, Iter 157980: Loss = 0.009965706616640091, lr = [0.0001] +[2024-06-09 21:02:48,567] - INFO: Evaluate at epoch 3160! +[2024-06-09 21:02:52,884] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 21:02:52,885] - INFO: Eval (with pad) PSNR (current): 38.132 (3160) SSIM (current): 0.9614 (3160) +[2024-06-09 21:02:52,885] - INFO: Evaluation over. +[2024-06-09 21:02:58,197] - INFO: Epoch 3161/9999, Iter 158000: Loss = 0.008709770627319813, lr = [0.0001] +[2024-06-09 21:03:38,148] - INFO: Epoch 3161/9999, Iter 158020: Loss = 0.013021290302276611, lr = [0.0001] +[2024-06-09 21:04:16,435] - INFO: Epoch 3161/9999, Iter 158040: Loss = 0.014186512678861618, lr = [0.0001] +[2024-06-09 21:04:57,605] - INFO: Epoch 3162/9999, Iter 158060: Loss = 0.013294662348926067, lr = [0.0001] +[2024-06-09 21:05:38,979] - INFO: Epoch 3162/9999, Iter 158080: Loss = 0.010095631703734398, lr = [0.0001] +[2024-06-09 21:06:19,550] - INFO: Epoch 3163/9999, Iter 158100: Loss = 0.015556982718408108, lr = [0.0001] +[2024-06-09 21:07:01,172] - INFO: Epoch 3163/9999, Iter 158120: Loss = 0.016933245584368706, lr = [0.0001] +[2024-06-09 21:07:39,702] - INFO: Epoch 3163/9999, Iter 158140: Loss = 0.011948347091674805, lr = [0.0001] +[2024-06-09 21:08:20,478] - INFO: Epoch 3164/9999, Iter 158160: Loss = 0.008607277646660805, lr = [0.0001] +[2024-06-09 21:09:00,009] - INFO: Epoch 3164/9999, Iter 158180: Loss = 0.014300895854830742, lr = [0.0001] +[2024-06-09 21:09:37,983] - INFO: Epoch 3165/9999, Iter 158200: Loss = 0.0086185522377491, lr = [0.0001] +[2024-06-09 21:10:18,844] - INFO: Epoch 3165/9999, Iter 158220: Loss = 0.015929820016026497, lr = [0.0001] +[2024-06-09 21:10:59,500] - INFO: Epoch 3165/9999, Iter 158240: Loss = 0.021051468327641487, lr = [0.0001] +[2024-06-09 21:11:15,459] - INFO: Evaluate at epoch 3165! +[2024-06-09 21:11:19,852] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 21:11:19,852] - INFO: Eval (with pad) PSNR (current): 38.191 (3165) SSIM (current): 0.9615 (3165) +[2024-06-09 21:11:19,852] - INFO: Evaluation over. +[2024-06-09 21:11:47,357] - INFO: Epoch 3166/9999, Iter 158260: Loss = 0.012790041975677013, lr = [0.0001] +[2024-06-09 21:12:26,904] - INFO: Epoch 3166/9999, Iter 158280: Loss = 0.01180969551205635, lr = [0.0001] +[2024-06-09 21:13:05,352] - INFO: Epoch 3167/9999, Iter 158300: Loss = 0.005034556612372398, lr = [0.0001] +[2024-06-09 21:13:46,646] - INFO: Epoch 3167/9999, Iter 158320: Loss = 0.008001799695193768, lr = [0.0001] +[2024-06-09 21:14:25,781] - INFO: Epoch 3167/9999, Iter 158340: Loss = 0.01384609192609787, lr = [0.0001] +[2024-06-09 21:15:06,768] - INFO: Epoch 3168/9999, Iter 158360: Loss = 0.013501657173037529, lr = [0.0001] +[2024-06-09 21:15:46,712] - INFO: Epoch 3168/9999, Iter 158380: Loss = 0.013985161669552326, lr = [0.0001] +[2024-06-09 21:16:26,440] - INFO: Epoch 3169/9999, Iter 158400: Loss = 0.01049039512872696, lr = [0.0001] +[2024-06-09 21:17:06,577] - INFO: Epoch 3169/9999, Iter 158420: Loss = 0.0131099633872509, lr = [0.0001] +[2024-06-09 21:17:47,267] - INFO: Epoch 3169/9999, Iter 158440: Loss = 0.011493581347167492, lr = [0.0001] +[2024-06-09 21:18:27,524] - INFO: Epoch 3170/9999, Iter 158460: Loss = 0.010615242645144463, lr = [0.0001] +[2024-06-09 21:19:06,046] - INFO: Epoch 3170/9999, Iter 158480: Loss = 0.01074632816016674, lr = [0.0001] +[2024-06-09 21:19:42,045] - INFO: Evaluate at epoch 3170! +[2024-06-09 21:19:46,499] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 21:19:46,499] - INFO: Eval (with pad) PSNR (current): 38.173 (3170) SSIM (current): 0.9614 (3170) +[2024-06-09 21:19:46,499] - INFO: Evaluation over. +[2024-06-09 21:19:51,691] - INFO: Epoch 3171/9999, Iter 158500: Loss = 0.01665842905640602, lr = [0.0001] +[2024-06-09 21:20:31,555] - INFO: Epoch 3171/9999, Iter 158520: Loss = 0.011992509476840496, lr = [0.0001] +[2024-06-09 21:21:11,913] - INFO: Epoch 3171/9999, Iter 158540: Loss = 0.00923217087984085, lr = [0.0001] +[2024-06-09 21:21:51,882] - INFO: Epoch 3172/9999, Iter 158560: Loss = 0.010640068911015987, lr = [0.0001] +[2024-06-09 21:22:30,295] - INFO: Epoch 3172/9999, Iter 158580: Loss = 0.007739722728729248, lr = [0.0001] +[2024-06-09 21:23:10,381] - INFO: Epoch 3173/9999, Iter 158600: Loss = 0.012176304124295712, lr = [0.0001] +[2024-06-09 21:23:48,870] - INFO: Epoch 3173/9999, Iter 158620: Loss = 0.01715550757944584, lr = [0.0001] +[2024-06-09 21:24:29,469] - INFO: Epoch 3173/9999, Iter 158640: Loss = 0.017915522679686546, lr = [0.0001] +[2024-06-09 21:25:09,718] - INFO: Epoch 3174/9999, Iter 158660: Loss = 0.0134544363245368, lr = [0.0001] +[2024-06-09 21:25:50,088] - INFO: Epoch 3174/9999, Iter 158680: Loss = 0.015318279154598713, lr = [0.0001] +[2024-06-09 21:26:30,286] - INFO: Epoch 3175/9999, Iter 158700: Loss = 0.013065194711089134, lr = [0.0001] +[2024-06-09 21:27:09,475] - INFO: Epoch 3175/9999, Iter 158720: Loss = 0.015229660086333752, lr = [0.0001] +[2024-06-09 21:27:48,298] - INFO: Epoch 3175/9999, Iter 158740: Loss = 0.00783082377165556, lr = [0.0001] +[2024-06-09 21:28:04,882] - INFO: Evaluate at epoch 3175! +[2024-06-09 21:28:09,414] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 21:28:09,414] - INFO: Eval (with pad) PSNR (current): 38.184 (3175) SSIM (current): 0.9615 (3175) +[2024-06-09 21:28:09,414] - INFO: Evaluation over. +[2024-06-09 21:28:35,000] - INFO: Epoch 3176/9999, Iter 158760: Loss = 0.010761011391878128, lr = [0.0001] +[2024-06-09 21:29:15,066] - INFO: Epoch 3176/9999, Iter 158780: Loss = 0.01586497761309147, lr = [0.0001] +[2024-06-09 21:29:53,550] - INFO: Epoch 3177/9999, Iter 158800: Loss = 0.00623534107580781, lr = [0.0001] +[2024-06-09 21:30:35,002] - INFO: Epoch 3177/9999, Iter 158820: Loss = 0.011103390716016293, lr = [0.0001] +[2024-06-09 21:31:16,368] - INFO: Epoch 3177/9999, Iter 158840: Loss = 0.017540741711854935, lr = [0.0001] +[2024-06-09 21:31:55,056] - INFO: Epoch 3178/9999, Iter 158860: Loss = 0.014820180833339691, lr = [0.0001] +[2024-06-09 21:32:35,012] - INFO: Epoch 3178/9999, Iter 158880: Loss = 0.010398178361356258, lr = [0.0001] +[2024-06-09 21:33:14,089] - INFO: Epoch 3179/9999, Iter 158900: Loss = 0.01754440739750862, lr = [0.0001] +[2024-06-09 21:33:55,391] - INFO: Epoch 3179/9999, Iter 158920: Loss = 0.007976116612553596, lr = [0.0001] +[2024-06-09 21:34:35,516] - INFO: Epoch 3179/9999, Iter 158940: Loss = 0.012948418036103249, lr = [0.0001] +[2024-06-09 21:35:16,702] - INFO: Epoch 3180/9999, Iter 158960: Loss = 0.008573312312364578, lr = [0.0001] +[2024-06-09 21:35:56,662] - INFO: Epoch 3180/9999, Iter 158980: Loss = 0.01569143496453762, lr = [0.0001] +[2024-06-09 21:36:31,882] - INFO: Evaluate at epoch 3180! +[2024-06-09 21:36:36,093] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 21:36:36,093] - INFO: Eval (with pad) PSNR (current): 38.182 (3180) SSIM (current): 0.9615 (3180) +[2024-06-09 21:36:36,093] - INFO: Evaluation over. +[2024-06-09 21:36:41,868] - INFO: Epoch 3181/9999, Iter 159000: Loss = 0.01686394028365612, lr = [0.0001] +[2024-06-09 21:37:19,478] - INFO: Epoch 3181/9999, Iter 159020: Loss = 0.009597809985280037, lr = [0.0001] +[2024-06-09 21:37:59,932] - INFO: Epoch 3181/9999, Iter 159040: Loss = 0.007274015340954065, lr = [0.0001] +[2024-06-09 21:38:39,336] - INFO: Epoch 3182/9999, Iter 159060: Loss = 0.014245239086449146, lr = [0.0001] +[2024-06-09 21:39:20,405] - INFO: Epoch 3182/9999, Iter 159080: Loss = 0.01427367888391018, lr = [0.0001] +[2024-06-09 21:40:00,021] - INFO: Epoch 3183/9999, Iter 159100: Loss = 0.0182234738022089, lr = [0.0001] +[2024-06-09 21:40:39,969] - INFO: Epoch 3183/9999, Iter 159120: Loss = 0.011637491174042225, lr = [0.0001] +[2024-06-09 21:41:18,757] - INFO: Epoch 3183/9999, Iter 159140: Loss = 0.008792860433459282, lr = [0.0001] +[2024-06-09 21:41:59,601] - INFO: Epoch 3184/9999, Iter 159160: Loss = 0.010669750161468983, lr = [0.0001] +[2024-06-09 21:42:39,665] - INFO: Epoch 3184/9999, Iter 159180: Loss = 0.009845351800322533, lr = [0.0001] +[2024-06-09 21:43:20,533] - INFO: Epoch 3185/9999, Iter 159200: Loss = 0.011039823293685913, lr = [0.0001] +[2024-06-09 21:44:02,487] - INFO: Epoch 3185/9999, Iter 159220: Loss = 0.00847084354609251, lr = [0.0001] +[2024-06-09 21:44:42,340] - INFO: Epoch 3185/9999, Iter 159240: Loss = 0.015091970562934875, lr = [0.0001] +[2024-06-09 21:44:57,956] - INFO: Evaluate at epoch 3185! +[2024-06-09 21:45:02,641] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 21:45:02,642] - INFO: Eval (with pad) PSNR (current): 38.139 (3185) SSIM (current): 0.9614 (3185) +[2024-06-09 21:45:02,642] - INFO: Evaluation over. +[2024-06-09 21:45:28,802] - INFO: Epoch 3186/9999, Iter 159260: Loss = 0.012132838368415833, lr = [0.0001] +[2024-06-09 21:46:08,918] - INFO: Epoch 3186/9999, Iter 159280: Loss = 0.019009802490472794, lr = [0.0001] +[2024-06-09 21:46:48,338] - INFO: Epoch 3187/9999, Iter 159300: Loss = 0.0073969243094325066, lr = [0.0001] +[2024-06-09 21:47:28,667] - INFO: Epoch 3187/9999, Iter 159320: Loss = 0.013059758581221104, lr = [0.0001] +[2024-06-09 21:48:08,791] - INFO: Epoch 3187/9999, Iter 159340: Loss = 0.017667017877101898, lr = [0.0001] +[2024-06-09 21:48:48,936] - INFO: Epoch 3188/9999, Iter 159360: Loss = 0.012005181983113289, lr = [0.0001] +[2024-06-09 21:49:28,191] - INFO: Epoch 3188/9999, Iter 159380: Loss = 0.009968393482267857, lr = [0.0001] +[2024-06-09 21:50:07,665] - INFO: Epoch 3189/9999, Iter 159400: Loss = 0.009015434421598911, lr = [0.0001] +[2024-06-09 21:50:48,278] - INFO: Epoch 3189/9999, Iter 159420: Loss = 0.008691907860338688, lr = [0.0001] +[2024-06-09 21:51:28,785] - INFO: Epoch 3189/9999, Iter 159440: Loss = 0.011139772832393646, lr = [0.0001] +[2024-06-09 21:52:08,036] - INFO: Epoch 3190/9999, Iter 159460: Loss = 0.01317873690277338, lr = [0.0001] +[2024-06-09 21:52:48,086] - INFO: Epoch 3190/9999, Iter 159480: Loss = 0.017628135159611702, lr = [0.0001] +[2024-06-09 21:53:23,934] - INFO: Evaluate at epoch 3190! +[2024-06-09 21:53:28,337] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 21:53:28,338] - INFO: Eval (with pad) PSNR (current): 38.161 (3190) SSIM (current): 0.9613 (3190) +[2024-06-09 21:53:28,338] - INFO: Evaluation over. +[2024-06-09 21:53:33,982] - INFO: Epoch 3191/9999, Iter 159500: Loss = 0.011606015264987946, lr = [0.0001] +[2024-06-09 21:54:14,914] - INFO: Epoch 3191/9999, Iter 159520: Loss = 0.013608979061245918, lr = [0.0001] +[2024-06-09 21:54:54,087] - INFO: Epoch 3191/9999, Iter 159540: Loss = 0.01147012785077095, lr = [0.0001] +[2024-06-09 21:55:33,715] - INFO: Epoch 3192/9999, Iter 159560: Loss = 0.014045430347323418, lr = [0.0001] +[2024-06-09 21:56:11,092] - INFO: Epoch 3192/9999, Iter 159580: Loss = 0.01657213643193245, lr = [0.0001] +[2024-06-09 21:56:49,992] - INFO: Epoch 3193/9999, Iter 159600: Loss = 0.012083442881703377, lr = [0.0001] +[2024-06-09 21:57:31,226] - INFO: Epoch 3193/9999, Iter 159620: Loss = 0.010657530277967453, lr = [0.0001] +[2024-06-09 21:58:11,276] - INFO: Epoch 3193/9999, Iter 159640: Loss = 0.010772273875772953, lr = [0.0001] +[2024-06-09 21:58:51,533] - INFO: Epoch 3194/9999, Iter 159660: Loss = 0.013053803704679012, lr = [0.0001] +[2024-06-09 21:59:30,968] - INFO: Epoch 3194/9999, Iter 159680: Loss = 0.012810391373932362, lr = [0.0001] +[2024-06-09 22:00:09,860] - INFO: Epoch 3195/9999, Iter 159700: Loss = 0.01268971711397171, lr = [0.0001] +[2024-06-09 22:00:50,811] - INFO: Epoch 3195/9999, Iter 159720: Loss = 0.0093678655102849, lr = [0.0001] +[2024-06-09 22:01:30,734] - INFO: Epoch 3195/9999, Iter 159740: Loss = 0.00823699776083231, lr = [0.0001] +[2024-06-09 22:01:46,612] - INFO: Evaluate at epoch 3195! +[2024-06-09 22:01:50,941] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 22:01:50,942] - INFO: Eval (with pad) PSNR (current): 38.104 (3195) SSIM (current): 0.9613 (3195) +[2024-06-09 22:01:50,942] - INFO: Evaluation over. +[2024-06-09 22:02:16,478] - INFO: Epoch 3196/9999, Iter 159760: Loss = 0.00978290569037199, lr = [0.0001] +[2024-06-09 22:02:57,726] - INFO: Epoch 3196/9999, Iter 159780: Loss = 0.012688462622463703, lr = [0.0001] +[2024-06-09 22:03:36,062] - INFO: Epoch 3197/9999, Iter 159800: Loss = 0.008228767663240433, lr = [0.0001] +[2024-06-09 22:04:16,273] - INFO: Epoch 3197/9999, Iter 159820: Loss = 0.007931537926197052, lr = [0.0001] +[2024-06-09 22:04:56,294] - INFO: Epoch 3197/9999, Iter 159840: Loss = 0.014393823221325874, lr = [0.0001] +[2024-06-09 22:05:35,337] - INFO: Epoch 3198/9999, Iter 159860: Loss = 0.01645367406308651, lr = [0.0001] +[2024-06-09 22:06:16,033] - INFO: Epoch 3198/9999, Iter 159880: Loss = 0.011220024898648262, lr = [0.0001] +[2024-06-09 22:06:53,820] - INFO: Epoch 3199/9999, Iter 159900: Loss = 0.012250304222106934, lr = [0.0001] +[2024-06-09 22:07:35,138] - INFO: Epoch 3199/9999, Iter 159920: Loss = 0.012582858093082905, lr = [0.0001] +[2024-06-09 22:08:15,292] - INFO: Epoch 3199/9999, Iter 159940: Loss = 0.015108994208276272, lr = [0.0001] +[2024-06-09 22:08:54,578] - INFO: Epoch 3200/9999, Iter 159960: Loss = 0.008819888345897198, lr = [0.0001] +[2024-06-09 22:09:35,293] - INFO: Epoch 3200/9999, Iter 159980: Loss = 0.017565526068210602, lr = [0.0001] +[2024-06-09 22:10:10,165] - INFO: Evaluate at epoch 3200! +[2024-06-09 22:10:14,543] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 22:10:14,544] - INFO: Eval (with pad) PSNR (current): 38.148 (3200) SSIM (current): 0.9615 (3200) +[2024-06-09 22:10:14,544] - INFO: Evaluation over. +[2024-06-09 22:10:19,972] - INFO: Epoch 3201/9999, Iter 160000: Loss = 0.01787342131137848, lr = [0.0001] +[2024-06-09 22:10:59,244] - INFO: Epoch 3201/9999, Iter 160020: Loss = 0.009983159601688385, lr = [0.0001] +[2024-06-09 22:11:39,282] - INFO: Epoch 3201/9999, Iter 160040: Loss = 0.01045536994934082, lr = [0.0001] +[2024-06-09 22:12:16,813] - INFO: Epoch 3202/9999, Iter 160060: Loss = 0.013094335794448853, lr = [0.0001] +[2024-06-09 22:12:57,253] - INFO: Epoch 3202/9999, Iter 160080: Loss = 0.01228008046746254, lr = [0.0001] +[2024-06-09 22:13:37,409] - INFO: Epoch 3203/9999, Iter 160100: Loss = 0.008821525610983372, lr = [0.0001] +[2024-06-09 22:14:19,037] - INFO: Epoch 3203/9999, Iter 160120: Loss = 0.008185911923646927, lr = [0.0001] +[2024-06-09 22:14:59,235] - INFO: Epoch 3203/9999, Iter 160140: Loss = 0.014102582819759846, lr = [0.0001] +[2024-06-09 22:15:39,233] - INFO: Epoch 3204/9999, Iter 160160: Loss = 0.010845179669559002, lr = [0.0001] +[2024-06-09 22:16:20,184] - INFO: Epoch 3204/9999, Iter 160180: Loss = 0.011746364645659924, lr = [0.0001] +[2024-06-09 22:16:59,400] - INFO: Epoch 3205/9999, Iter 160200: Loss = 0.012951432727277279, lr = [0.0001] +[2024-06-09 22:17:40,392] - INFO: Epoch 3205/9999, Iter 160220: Loss = 0.016213752329349518, lr = [0.0001] +[2024-06-09 22:18:19,395] - INFO: Epoch 3205/9999, Iter 160240: Loss = 0.009068412706255913, lr = [0.0001] +[2024-06-09 22:18:35,304] - INFO: Evaluate at epoch 3205! +[2024-06-09 22:18:39,605] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 22:18:39,606] - INFO: Eval (with pad) PSNR (current): 38.155 (3205) SSIM (current): 0.9614 (3205) +[2024-06-09 22:18:39,606] - INFO: Evaluation over. +[2024-06-09 22:19:07,034] - INFO: Epoch 3206/9999, Iter 160260: Loss = 0.011627609841525555, lr = [0.0001] +[2024-06-09 22:19:45,682] - INFO: Epoch 3206/9999, Iter 160280: Loss = 0.011073724366724491, lr = [0.0001] +[2024-06-09 22:20:26,557] - INFO: Epoch 3207/9999, Iter 160300: Loss = 0.01085688453167677, lr = [0.0001] +[2024-06-09 22:21:08,291] - INFO: Epoch 3207/9999, Iter 160320: Loss = 0.011559497565031052, lr = [0.0001] +[2024-06-09 22:21:47,355] - INFO: Epoch 3207/9999, Iter 160340: Loss = 0.009089336730539799, lr = [0.0001] +[2024-06-09 22:22:28,215] - INFO: Epoch 3208/9999, Iter 160360: Loss = 0.009968036785721779, lr = [0.0001] +[2024-06-09 22:23:07,217] - INFO: Epoch 3208/9999, Iter 160380: Loss = 0.016448739916086197, lr = [0.0001] +[2024-06-09 22:23:46,479] - INFO: Epoch 3209/9999, Iter 160400: Loss = 0.00981940608471632, lr = [0.0001] +[2024-06-09 22:24:27,887] - INFO: Epoch 3209/9999, Iter 160420: Loss = 0.014721591025590897, lr = [0.0001] +[2024-06-09 22:25:04,918] - INFO: Epoch 3209/9999, Iter 160440: Loss = 0.019965872168540955, lr = [0.0001] +[2024-06-09 22:25:45,268] - INFO: Epoch 3210/9999, Iter 160460: Loss = 0.013051563873887062, lr = [0.0001] +[2024-06-09 22:26:26,827] - INFO: Epoch 3210/9999, Iter 160480: Loss = 0.00962840672582388, lr = [0.0001] +[2024-06-09 22:27:02,015] - INFO: Evaluate at epoch 3210! +[2024-06-09 22:27:06,238] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 22:27:06,238] - INFO: Eval (with pad) PSNR (current): 38.158 (3210) SSIM (current): 0.9613 (3210) +[2024-06-09 22:27:06,238] - INFO: Evaluation over. +[2024-06-09 22:27:11,863] - INFO: Epoch 3211/9999, Iter 160500: Loss = 0.015885356813669205, lr = [0.0001] +[2024-06-09 22:27:52,845] - INFO: Epoch 3211/9999, Iter 160520: Loss = 0.013178721070289612, lr = [0.0001] +[2024-06-09 22:28:32,896] - INFO: Epoch 3211/9999, Iter 160540: Loss = 0.012770409695804119, lr = [0.0001] +[2024-06-09 22:29:14,003] - INFO: Epoch 3212/9999, Iter 160560: Loss = 0.015326203778386116, lr = [0.0001] +[2024-06-09 22:29:54,473] - INFO: Epoch 3212/9999, Iter 160580: Loss = 0.007102298550307751, lr = [0.0001] +[2024-06-09 22:30:33,582] - INFO: Epoch 3213/9999, Iter 160600: Loss = 0.010276359505951405, lr = [0.0001] +[2024-06-09 22:31:13,360] - INFO: Epoch 3213/9999, Iter 160620: Loss = 0.013667122460901737, lr = [0.0001] +[2024-06-09 22:31:54,609] - INFO: Epoch 3213/9999, Iter 160640: Loss = 0.01899554952979088, lr = [0.0001] +[2024-06-09 22:32:34,472] - INFO: Epoch 3214/9999, Iter 160660: Loss = 0.019812485203146935, lr = [0.0001] +[2024-06-09 22:33:13,202] - INFO: Epoch 3214/9999, Iter 160680: Loss = 0.012823175638914108, lr = [0.0001] +[2024-06-09 22:33:52,442] - INFO: Epoch 3215/9999, Iter 160700: Loss = 0.01079651154577732, lr = [0.0001] +[2024-06-09 22:34:33,778] - INFO: Epoch 3215/9999, Iter 160720: Loss = 0.007628078106790781, lr = [0.0001] +[2024-06-09 22:35:12,659] - INFO: Epoch 3215/9999, Iter 160740: Loss = 0.011305849067866802, lr = [0.0001] +[2024-06-09 22:35:28,175] - INFO: Evaluate at epoch 3215! +[2024-06-09 22:35:32,447] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 22:35:32,447] - INFO: Eval (with pad) PSNR (current): 38.171 (3215) SSIM (current): 0.9614 (3215) +[2024-06-09 22:35:32,448] - INFO: Evaluation over. +[2024-06-09 22:35:58,516] - INFO: Epoch 3216/9999, Iter 160760: Loss = 0.015871847048401833, lr = [0.0001] +[2024-06-09 22:36:40,547] - INFO: Epoch 3216/9999, Iter 160780: Loss = 0.007540869992226362, lr = [0.0001] +[2024-06-09 22:37:20,793] - INFO: Epoch 3217/9999, Iter 160800: Loss = 0.008916581980884075, lr = [0.0001] +[2024-06-09 22:38:02,783] - INFO: Epoch 3217/9999, Iter 160820: Loss = 0.01213028747588396, lr = [0.0001] +[2024-06-09 22:38:42,700] - INFO: Epoch 3217/9999, Iter 160840: Loss = 0.006538602523505688, lr = [0.0001] +[2024-06-09 22:39:22,822] - INFO: Epoch 3218/9999, Iter 160860: Loss = 0.01019416656345129, lr = [0.0001] +[2024-06-09 22:40:02,603] - INFO: Epoch 3218/9999, Iter 160880: Loss = 0.018769657239317894, lr = [0.0001] +[2024-06-09 22:40:40,536] - INFO: Epoch 3219/9999, Iter 160900: Loss = 0.008731936104595661, lr = [0.0001] +[2024-06-09 22:41:21,602] - INFO: Epoch 3219/9999, Iter 160920: Loss = 0.010417203418910503, lr = [0.0001] +[2024-06-09 22:42:01,773] - INFO: Epoch 3219/9999, Iter 160940: Loss = 0.009759459644556046, lr = [0.0001] +[2024-06-09 22:42:42,621] - INFO: Epoch 3220/9999, Iter 160960: Loss = 0.012611261568963528, lr = [0.0001] +[2024-06-09 22:43:21,003] - INFO: Epoch 3220/9999, Iter 160980: Loss = 0.011032979935407639, lr = [0.0001] +[2024-06-09 22:43:56,328] - INFO: Evaluate at epoch 3220! +[2024-06-09 22:44:00,651] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 22:44:00,651] - INFO: Eval (with pad) PSNR (current): 38.146 (3220) SSIM (current): 0.9613 (3220) +[2024-06-09 22:44:00,652] - INFO: Evaluation over. +[2024-06-09 22:44:06,007] - INFO: Epoch 3221/9999, Iter 161000: Loss = 0.01211110781878233, lr = [0.0001] +[2024-06-09 22:44:48,709] - INFO: Epoch 3221/9999, Iter 161020: Loss = 0.01578696072101593, lr = [0.0001] +[2024-06-09 22:45:29,144] - INFO: Epoch 3221/9999, Iter 161040: Loss = 0.011306719854474068, lr = [0.0001] +[2024-06-09 22:46:09,692] - INFO: Epoch 3222/9999, Iter 161060: Loss = 0.010153227485716343, lr = [0.0001] +[2024-06-09 22:46:49,149] - INFO: Epoch 3222/9999, Iter 161080: Loss = 0.013493587262928486, lr = [0.0001] +[2024-06-09 22:47:29,779] - INFO: Epoch 3223/9999, Iter 161100: Loss = 0.009602965787053108, lr = [0.0001] +[2024-06-09 22:48:09,660] - INFO: Epoch 3223/9999, Iter 161120: Loss = 0.014859667979180813, lr = [0.0001] +[2024-06-09 22:48:49,167] - INFO: Epoch 3223/9999, Iter 161140: Loss = 0.00962051935493946, lr = [0.0001] +[2024-06-09 22:49:29,640] - INFO: Epoch 3224/9999, Iter 161160: Loss = 0.010793793015182018, lr = [0.0001] +[2024-06-09 22:50:09,468] - INFO: Epoch 3224/9999, Iter 161180: Loss = 0.014562351629137993, lr = [0.0001] +[2024-06-09 22:50:49,094] - INFO: Epoch 3225/9999, Iter 161200: Loss = 0.01281188428401947, lr = [0.0001] +[2024-06-09 22:51:28,573] - INFO: Epoch 3225/9999, Iter 161220: Loss = 0.015938160941004753, lr = [0.0001] +[2024-06-09 22:52:07,989] - INFO: Epoch 3225/9999, Iter 161240: Loss = 0.0107128219678998, lr = [0.0001] +[2024-06-09 22:52:22,765] - INFO: Evaluate at epoch 3225! +[2024-06-09 22:52:27,036] - INFO: Eval (with pad) PSNR (max): 38.191 (2835) SSIM (max): 0.9615 (2850) +[2024-06-09 22:52:27,036] - INFO: Eval (with pad) PSNR (current): 38.167 (3225) SSIM (current): 0.9614 (3225) +[2024-06-09 22:52:27,036] - INFO: Evaluation over. +[2024-06-09 22:52:52,756] - INFO: Epoch 3226/9999, Iter 161260: Loss = 0.011736146174371243, lr = [0.0001] +[2024-06-09 22:53:32,872] - INFO: Epoch 3226/9999, Iter 161280: Loss = 0.013739202171564102, lr = [0.0001] +[2024-06-09 22:54:13,013] - INFO: Epoch 3227/9999, Iter 161300: Loss = 0.016200879588723183, lr = [0.0001] +[2024-06-09 22:54:54,120] - INFO: Epoch 3227/9999, Iter 161320: Loss = 0.013877905905246735, lr = [0.0001] +[2024-06-09 22:55:34,581] - INFO: Epoch 3227/9999, Iter 161340: Loss = 0.012771571055054665, lr = [0.0001] +[2024-06-09 22:56:11,044] - INFO: Epoch 3228/9999, Iter 161360: Loss = 0.008471840992569923, lr = [0.0001] +[2024-06-09 22:56:51,554] - INFO: Epoch 3228/9999, Iter 161380: Loss = 0.016420384868979454, lr = [0.0001] +[2024-06-09 22:57:31,656] - INFO: Epoch 3229/9999, Iter 161400: Loss = 0.011349104344844818, lr = [0.0001] +[2024-06-09 22:58:12,294] - INFO: Epoch 3229/9999, Iter 161420: Loss = 0.010137372650206089, lr = [0.0001] +[2024-06-09 22:58:49,972] - INFO: Epoch 3229/9999, Iter 161440: Loss = 0.01683206669986248, lr = [0.0001] +[2024-06-09 22:59:29,377] - INFO: Epoch 3230/9999, Iter 161460: Loss = 0.010800749994814396, lr = [0.0001] +[2024-06-09 23:00:10,796] - INFO: Epoch 3230/9999, Iter 161480: Loss = 0.017675675451755524, lr = [0.0001] +[2024-06-09 23:00:46,129] - INFO: Evaluate at epoch 3230! +[2024-06-09 23:00:52,028] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-09 23:00:52,029] - INFO: Eval (with pad) PSNR (current): 38.198 (3230) SSIM (current): 0.9614 (3230) +[2024-06-09 23:00:52,029] - INFO: Evaluation over. +[2024-06-09 23:00:57,110] - INFO: Epoch 3231/9999, Iter 161500: Loss = 0.010627247393131256, lr = [0.0001] +[2024-06-09 23:01:37,397] - INFO: Epoch 3231/9999, Iter 161520: Loss = 0.010612266138195992, lr = [0.0001] +[2024-06-09 23:02:17,325] - INFO: Epoch 3231/9999, Iter 161540: Loss = 0.009951125830411911, lr = [0.0001] +[2024-06-09 23:02:58,123] - INFO: Epoch 3232/9999, Iter 161560: Loss = 0.014844398945569992, lr = [0.0001] +[2024-06-09 23:03:38,363] - INFO: Epoch 3232/9999, Iter 161580: Loss = 0.012569219805300236, lr = [0.0001] +[2024-06-09 23:04:17,218] - INFO: Epoch 3233/9999, Iter 161600: Loss = 0.009196601808071136, lr = [0.0001] +[2024-06-09 23:04:57,818] - INFO: Epoch 3233/9999, Iter 161620: Loss = 0.006056053098291159, lr = [0.0001] +[2024-06-09 23:05:38,152] - INFO: Epoch 3233/9999, Iter 161640: Loss = 0.014278007671236992, lr = [0.0001] +[2024-06-09 23:06:18,504] - INFO: Epoch 3234/9999, Iter 161660: Loss = 0.011181646026670933, lr = [0.0001] +[2024-06-09 23:06:58,703] - INFO: Epoch 3234/9999, Iter 161680: Loss = 0.016851510852575302, lr = [0.0001] +[2024-06-09 23:07:39,166] - INFO: Epoch 3235/9999, Iter 161700: Loss = 0.009497911669313908, lr = [0.0001] +[2024-06-09 23:08:20,449] - INFO: Epoch 3235/9999, Iter 161720: Loss = 0.011272338218986988, lr = [0.0001] +[2024-06-09 23:08:59,724] - INFO: Epoch 3235/9999, Iter 161740: Loss = 0.015394418500363827, lr = [0.0001] +[2024-06-09 23:09:16,150] - INFO: Evaluate at epoch 3235! +[2024-06-09 23:09:20,546] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-09 23:09:20,546] - INFO: Eval (with pad) PSNR (current): 38.164 (3235) SSIM (current): 0.9613 (3235) +[2024-06-09 23:09:20,546] - INFO: Evaluation over. +[2024-06-09 23:09:45,559] - INFO: Epoch 3236/9999, Iter 161760: Loss = 0.008605051785707474, lr = [0.0001] +[2024-06-09 23:10:26,098] - INFO: Epoch 3236/9999, Iter 161780: Loss = 0.013461732305586338, lr = [0.0001] +[2024-06-09 23:11:05,129] - INFO: Epoch 3237/9999, Iter 161800: Loss = 0.012768142856657505, lr = [0.0001] +[2024-06-09 23:11:46,201] - INFO: Epoch 3237/9999, Iter 161820: Loss = 0.014584329910576344, lr = [0.0001] +[2024-06-09 23:12:25,380] - INFO: Epoch 3237/9999, Iter 161840: Loss = 0.011380641721189022, lr = [0.0001] +[2024-06-09 23:13:06,462] - INFO: Epoch 3238/9999, Iter 161860: Loss = 0.011974354274570942, lr = [0.0001] +[2024-06-09 23:13:44,682] - INFO: Epoch 3238/9999, Iter 161880: Loss = 0.010535580106079578, lr = [0.0001] +[2024-06-09 23:14:23,789] - INFO: Epoch 3239/9999, Iter 161900: Loss = 0.012968553230166435, lr = [0.0001] +[2024-06-09 23:15:04,605] - INFO: Epoch 3239/9999, Iter 161920: Loss = 0.013706094585359097, lr = [0.0001] +[2024-06-09 23:15:45,671] - INFO: Epoch 3239/9999, Iter 161940: Loss = 0.011413448490202427, lr = [0.0001] +[2024-06-09 23:16:26,651] - INFO: Epoch 3240/9999, Iter 161960: Loss = 0.011519372463226318, lr = [0.0001] +[2024-06-09 23:17:04,812] - INFO: Epoch 3240/9999, Iter 161980: Loss = 0.014943806454539299, lr = [0.0001] +[2024-06-09 23:17:40,862] - INFO: Evaluate at epoch 3240! +[2024-06-09 23:17:45,193] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-09 23:17:45,193] - INFO: Eval (with pad) PSNR (current): 38.174 (3240) SSIM (current): 0.9612 (3240) +[2024-06-09 23:17:45,193] - INFO: Evaluation over. +[2024-06-09 23:17:50,581] - INFO: Epoch 3241/9999, Iter 162000: Loss = 0.011706087738275528, lr = [0.0001] +[2024-06-09 23:18:32,287] - INFO: Epoch 3241/9999, Iter 162020: Loss = 0.01000483799725771, lr = [0.0001] +[2024-06-09 23:19:12,103] - INFO: Epoch 3241/9999, Iter 162040: Loss = 0.01392163336277008, lr = [0.0001] +[2024-06-09 23:19:51,919] - INFO: Epoch 3242/9999, Iter 162060: Loss = 0.012537104077637196, lr = [0.0001] +[2024-06-09 23:20:32,774] - INFO: Epoch 3242/9999, Iter 162080: Loss = 0.014794117771089077, lr = [0.0001] +[2024-06-09 23:21:11,309] - INFO: Epoch 3243/9999, Iter 162100: Loss = 0.008963705971837044, lr = [0.0001] +[2024-06-09 23:21:52,807] - INFO: Epoch 3243/9999, Iter 162120: Loss = 0.01179200317710638, lr = [0.0001] +[2024-06-09 23:22:32,580] - INFO: Epoch 3243/9999, Iter 162140: Loss = 0.012785614468157291, lr = [0.0001] +[2024-06-09 23:23:12,685] - INFO: Epoch 3244/9999, Iter 162160: Loss = 0.008730260655283928, lr = [0.0001] +[2024-06-09 23:23:53,937] - INFO: Epoch 3244/9999, Iter 162180: Loss = 0.012064079754054546, lr = [0.0001] +[2024-06-09 23:24:32,993] - INFO: Epoch 3245/9999, Iter 162200: Loss = 0.0093366215005517, lr = [0.0001] +[2024-06-09 23:25:13,677] - INFO: Epoch 3245/9999, Iter 162220: Loss = 0.009232667274773121, lr = [0.0001] +[2024-06-09 23:25:53,861] - INFO: Epoch 3245/9999, Iter 162240: Loss = 0.011400419287383556, lr = [0.0001] +[2024-06-09 23:26:09,123] - INFO: Evaluate at epoch 3245! +[2024-06-09 23:26:13,415] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-09 23:26:13,415] - INFO: Eval (with pad) PSNR (current): 38.171 (3245) SSIM (current): 0.9614 (3245) +[2024-06-09 23:26:13,415] - INFO: Evaluation over. +[2024-06-09 23:26:39,580] - INFO: Epoch 3246/9999, Iter 162260: Loss = 0.01026618480682373, lr = [0.0001] +[2024-06-09 23:27:18,046] - INFO: Epoch 3246/9999, Iter 162280: Loss = 0.01139042153954506, lr = [0.0001] +[2024-06-09 23:27:56,776] - INFO: Epoch 3247/9999, Iter 162300: Loss = 0.014090529642999172, lr = [0.0001] +[2024-06-09 23:28:38,418] - INFO: Epoch 3247/9999, Iter 162320: Loss = 0.01256866566836834, lr = [0.0001] +[2024-06-09 23:29:17,620] - INFO: Epoch 3247/9999, Iter 162340: Loss = 0.011696314439177513, lr = [0.0001] +[2024-06-09 23:29:58,245] - INFO: Epoch 3248/9999, Iter 162360: Loss = 0.01025876309722662, lr = [0.0001] +[2024-06-09 23:30:36,040] - INFO: Epoch 3248/9999, Iter 162380: Loss = 0.007623246405273676, lr = [0.0001] +[2024-06-09 23:31:14,712] - INFO: Epoch 3249/9999, Iter 162400: Loss = 0.012045816518366337, lr = [0.0001] +[2024-06-09 23:31:56,500] - INFO: Epoch 3249/9999, Iter 162420: Loss = 0.012213344685733318, lr = [0.0001] +[2024-06-09 23:32:36,440] - INFO: Epoch 3249/9999, Iter 162440: Loss = 0.011053531430661678, lr = [0.0001] +[2024-06-09 23:33:16,550] - INFO: Epoch 3250/9999, Iter 162460: Loss = 0.009411638602614403, lr = [0.0001] +[2024-06-09 23:33:57,013] - INFO: Epoch 3250/9999, Iter 162480: Loss = 0.011793000623583794, lr = [0.0001] +[2024-06-09 23:34:32,690] - INFO: Evaluate at epoch 3250! +[2024-06-09 23:34:37,024] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-09 23:34:37,024] - INFO: Eval (with pad) PSNR (current): 38.168 (3250) SSIM (current): 0.9614 (3250) +[2024-06-09 23:34:37,024] - INFO: Evaluation over. +[2024-06-09 23:34:42,811] - INFO: Epoch 3251/9999, Iter 162500: Loss = 0.012800317257642746, lr = [0.0001] +[2024-06-09 23:35:23,617] - INFO: Epoch 3251/9999, Iter 162520: Loss = 0.009501603431999683, lr = [0.0001] +[2024-06-09 23:36:03,204] - INFO: Epoch 3251/9999, Iter 162540: Loss = 0.020691372454166412, lr = [0.0001] +[2024-06-09 23:36:43,692] - INFO: Epoch 3252/9999, Iter 162560: Loss = 0.00854863878339529, lr = [0.0001] +[2024-06-09 23:37:22,464] - INFO: Epoch 3252/9999, Iter 162580: Loss = 0.01444914098829031, lr = [0.0001] +[2024-06-09 23:38:00,254] - INFO: Epoch 3253/9999, Iter 162600: Loss = 0.014914424158632755, lr = [0.0001] +[2024-06-09 23:38:41,695] - INFO: Epoch 3253/9999, Iter 162620: Loss = 0.013975049369037151, lr = [0.0001] +[2024-06-09 23:39:20,733] - INFO: Epoch 3253/9999, Iter 162640: Loss = 0.009323302656412125, lr = [0.0001] +[2024-06-09 23:40:01,814] - INFO: Epoch 3254/9999, Iter 162660: Loss = 0.013547475449740887, lr = [0.0001] +[2024-06-09 23:40:41,591] - INFO: Epoch 3254/9999, Iter 162680: Loss = 0.01185165997594595, lr = [0.0001] +[2024-06-09 23:41:21,219] - INFO: Epoch 3255/9999, Iter 162700: Loss = 0.013025430962443352, lr = [0.0001] +[2024-06-09 23:42:03,689] - INFO: Epoch 3255/9999, Iter 162720: Loss = 0.011107233352959156, lr = [0.0001] +[2024-06-09 23:42:43,105] - INFO: Epoch 3255/9999, Iter 162740: Loss = 0.013994837179780006, lr = [0.0001] +[2024-06-09 23:42:58,991] - INFO: Evaluate at epoch 3255! +[2024-06-09 23:43:03,348] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-09 23:43:03,349] - INFO: Eval (with pad) PSNR (current): 38.156 (3255) SSIM (current): 0.9614 (3255) +[2024-06-09 23:43:03,349] - INFO: Evaluation over. +[2024-06-09 23:43:29,190] - INFO: Epoch 3256/9999, Iter 162760: Loss = 0.00975743681192398, lr = [0.0001] +[2024-06-09 23:44:08,753] - INFO: Epoch 3256/9999, Iter 162780: Loss = 0.011619013734161854, lr = [0.0001] +[2024-06-09 23:44:46,221] - INFO: Epoch 3257/9999, Iter 162800: Loss = 0.010164199396967888, lr = [0.0001] +[2024-06-09 23:45:27,866] - INFO: Epoch 3257/9999, Iter 162820: Loss = 0.012862344272434711, lr = [0.0001] +[2024-06-09 23:46:05,575] - INFO: Epoch 3257/9999, Iter 162840: Loss = 0.007629268802702427, lr = [0.0001] +[2024-06-09 23:46:45,197] - INFO: Epoch 3258/9999, Iter 162860: Loss = 0.016417840495705605, lr = [0.0001] +[2024-06-09 23:47:26,542] - INFO: Epoch 3258/9999, Iter 162880: Loss = 0.016178162768483162, lr = [0.0001] +[2024-06-09 23:48:05,644] - INFO: Epoch 3259/9999, Iter 162900: Loss = 0.012353075668215752, lr = [0.0001] +[2024-06-09 23:48:47,516] - INFO: Epoch 3259/9999, Iter 162920: Loss = 0.013700852170586586, lr = [0.0001] +[2024-06-09 23:49:26,450] - INFO: Epoch 3259/9999, Iter 162940: Loss = 0.00905594602227211, lr = [0.0001] +[2024-06-09 23:50:08,514] - INFO: Epoch 3260/9999, Iter 162960: Loss = 0.015739649534225464, lr = [0.0001] +[2024-06-09 23:50:49,323] - INFO: Epoch 3260/9999, Iter 162980: Loss = 0.013181203044950962, lr = [0.0001] +[2024-06-09 23:51:25,121] - INFO: Evaluate at epoch 3260! +[2024-06-09 23:51:29,740] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-09 23:51:29,741] - INFO: Eval (with pad) PSNR (current): 38.125 (3260) SSIM (current): 0.9614 (3260) +[2024-06-09 23:51:29,741] - INFO: Evaluation over. +[2024-06-09 23:51:35,339] - INFO: Epoch 3261/9999, Iter 163000: Loss = 0.012037388980388641, lr = [0.0001] +[2024-06-09 23:52:14,681] - INFO: Epoch 3261/9999, Iter 163020: Loss = 0.012490560300648212, lr = [0.0001] +[2024-06-09 23:52:54,870] - INFO: Epoch 3261/9999, Iter 163040: Loss = 0.011011600494384766, lr = [0.0001] +[2024-06-09 23:53:35,172] - INFO: Epoch 3262/9999, Iter 163060: Loss = 0.010245767422020435, lr = [0.0001] +[2024-06-09 23:54:16,086] - INFO: Epoch 3262/9999, Iter 163080: Loss = 0.011881452053785324, lr = [0.0001] +[2024-06-09 23:54:56,414] - INFO: Epoch 3263/9999, Iter 163100: Loss = 0.009356709197163582, lr = [0.0001] +[2024-06-09 23:55:35,531] - INFO: Epoch 3263/9999, Iter 163120: Loss = 0.012311490252614021, lr = [0.0001] +[2024-06-09 23:56:15,027] - INFO: Epoch 3263/9999, Iter 163140: Loss = 0.008700241334736347, lr = [0.0001] +[2024-06-09 23:56:54,296] - INFO: Epoch 3264/9999, Iter 163160: Loss = 0.008011934347450733, lr = [0.0001] +[2024-06-09 23:57:34,891] - INFO: Epoch 3264/9999, Iter 163180: Loss = 0.015326223336160183, lr = [0.0001] +[2024-06-09 23:58:13,220] - INFO: Epoch 3265/9999, Iter 163200: Loss = 0.01092601753771305, lr = [0.0001] +[2024-06-09 23:58:53,496] - INFO: Epoch 3265/9999, Iter 163220: Loss = 0.014733265154063702, lr = [0.0001] +[2024-06-09 23:59:34,461] - INFO: Epoch 3265/9999, Iter 163240: Loss = 0.01803634874522686, lr = [0.0001] +[2024-06-09 23:59:50,251] - INFO: Evaluate at epoch 3265! +[2024-06-09 23:59:54,597] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-09 23:59:54,598] - INFO: Eval (with pad) PSNR (current): 38.150 (3265) SSIM (current): 0.9614 (3265) +[2024-06-09 23:59:54,598] - INFO: Evaluation over. +[2024-06-10 00:00:20,038] - INFO: Epoch 3266/9999, Iter 163260: Loss = 0.017626270651817322, lr = [0.0001] +[2024-06-10 00:00:59,378] - INFO: Epoch 3266/9999, Iter 163280: Loss = 0.009672023355960846, lr = [0.0001] +[2024-06-10 00:01:38,740] - INFO: Epoch 3267/9999, Iter 163300: Loss = 0.010795355774462223, lr = [0.0001] +[2024-06-10 00:02:20,605] - INFO: Epoch 3267/9999, Iter 163320: Loss = 0.008203594014048576, lr = [0.0001] +[2024-06-10 00:03:00,662] - INFO: Epoch 3267/9999, Iter 163340: Loss = 0.014343791641294956, lr = [0.0001] +[2024-06-10 00:03:41,399] - INFO: Epoch 3268/9999, Iter 163360: Loss = 0.008750119246542454, lr = [0.0001] +[2024-06-10 00:04:21,954] - INFO: Epoch 3268/9999, Iter 163380: Loss = 0.014311537146568298, lr = [0.0001] +[2024-06-10 00:05:00,953] - INFO: Epoch 3269/9999, Iter 163400: Loss = 0.014585922472178936, lr = [0.0001] +[2024-06-10 00:05:42,215] - INFO: Epoch 3269/9999, Iter 163420: Loss = 0.00795078743249178, lr = [0.0001] +[2024-06-10 00:06:22,556] - INFO: Epoch 3269/9999, Iter 163440: Loss = 0.014843566343188286, lr = [0.0001] +[2024-06-10 00:07:02,632] - INFO: Epoch 3270/9999, Iter 163460: Loss = 0.01031036488711834, lr = [0.0001] +[2024-06-10 00:07:42,569] - INFO: Epoch 3270/9999, Iter 163480: Loss = 0.012909067794680595, lr = [0.0001] +[2024-06-10 00:08:17,971] - INFO: Evaluate at epoch 3270! +[2024-06-10 00:08:22,297] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 00:08:22,297] - INFO: Eval (with pad) PSNR (current): 38.135 (3270) SSIM (current): 0.9613 (3270) +[2024-06-10 00:08:22,297] - INFO: Evaluation over. +[2024-06-10 00:08:27,498] - INFO: Epoch 3271/9999, Iter 163500: Loss = 0.013444856740534306, lr = [0.0001] +[2024-06-10 00:09:08,109] - INFO: Epoch 3271/9999, Iter 163520: Loss = 0.01490703597664833, lr = [0.0001] +[2024-06-10 00:09:47,997] - INFO: Epoch 3271/9999, Iter 163540: Loss = 0.011101738549768925, lr = [0.0001] +[2024-06-10 00:10:26,953] - INFO: Epoch 3272/9999, Iter 163560: Loss = 0.01557241566479206, lr = [0.0001] +[2024-06-10 00:11:07,259] - INFO: Epoch 3272/9999, Iter 163580: Loss = 0.01286196056753397, lr = [0.0001] +[2024-06-10 00:11:46,516] - INFO: Epoch 3273/9999, Iter 163600: Loss = 0.013314975425601006, lr = [0.0001] +[2024-06-10 00:12:27,262] - INFO: Epoch 3273/9999, Iter 163620: Loss = 0.00995415635406971, lr = [0.0001] +[2024-06-10 00:13:07,534] - INFO: Epoch 3273/9999, Iter 163640: Loss = 0.013585464097559452, lr = [0.0001] +[2024-06-10 00:13:48,333] - INFO: Epoch 3274/9999, Iter 163660: Loss = 0.007980777882039547, lr = [0.0001] +[2024-06-10 00:14:28,498] - INFO: Epoch 3274/9999, Iter 163680: Loss = 0.015798071399331093, lr = [0.0001] +[2024-06-10 00:15:08,376] - INFO: Epoch 3275/9999, Iter 163700: Loss = 0.01506263017654419, lr = [0.0001] +[2024-06-10 00:15:50,170] - INFO: Epoch 3275/9999, Iter 163720: Loss = 0.014902560971677303, lr = [0.0001] +[2024-06-10 00:16:30,475] - INFO: Epoch 3275/9999, Iter 163740: Loss = 0.010020459070801735, lr = [0.0001] +[2024-06-10 00:16:45,203] - INFO: Evaluate at epoch 3275! +[2024-06-10 00:16:49,477] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 00:16:49,477] - INFO: Eval (with pad) PSNR (current): 38.129 (3275) SSIM (current): 0.9614 (3275) +[2024-06-10 00:16:49,477] - INFO: Evaluation over. +[2024-06-10 00:17:17,069] - INFO: Epoch 3276/9999, Iter 163760: Loss = 0.015505362302064896, lr = [0.0001] +[2024-06-10 00:17:57,109] - INFO: Epoch 3276/9999, Iter 163780: Loss = 0.008153769187629223, lr = [0.0001] +[2024-06-10 00:18:36,329] - INFO: Epoch 3277/9999, Iter 163800: Loss = 0.015078818425536156, lr = [0.0001] +[2024-06-10 00:19:17,178] - INFO: Epoch 3277/9999, Iter 163820: Loss = 0.008918109349906445, lr = [0.0001] +[2024-06-10 00:19:55,826] - INFO: Epoch 3277/9999, Iter 163840: Loss = 0.008656042627990246, lr = [0.0001] +[2024-06-10 00:20:37,215] - INFO: Epoch 3278/9999, Iter 163860: Loss = 0.014496304094791412, lr = [0.0001] +[2024-06-10 00:21:18,010] - INFO: Epoch 3278/9999, Iter 163880: Loss = 0.01351410523056984, lr = [0.0001] +[2024-06-10 00:21:57,386] - INFO: Epoch 3279/9999, Iter 163900: Loss = 0.012300067581236362, lr = [0.0001] +[2024-06-10 00:22:38,498] - INFO: Epoch 3279/9999, Iter 163920: Loss = 0.015166760422289371, lr = [0.0001] +[2024-06-10 00:23:18,267] - INFO: Epoch 3279/9999, Iter 163940: Loss = 0.008427678607404232, lr = [0.0001] +[2024-06-10 00:23:58,660] - INFO: Epoch 3280/9999, Iter 163960: Loss = 0.014753401279449463, lr = [0.0001] +[2024-06-10 00:24:38,773] - INFO: Epoch 3280/9999, Iter 163980: Loss = 0.010757643729448318, lr = [0.0001] +[2024-06-10 00:25:14,993] - INFO: Evaluate at epoch 3280! +[2024-06-10 00:25:19,351] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 00:25:19,351] - INFO: Eval (with pad) PSNR (current): 38.161 (3280) SSIM (current): 0.9614 (3280) +[2024-06-10 00:25:19,351] - INFO: Evaluation over. +[2024-06-10 00:25:24,891] - INFO: Epoch 3281/9999, Iter 164000: Loss = 0.01715920679271221, lr = [0.0001] +[2024-06-10 00:26:04,605] - INFO: Epoch 3281/9999, Iter 164020: Loss = 0.01600032113492489, lr = [0.0001] +[2024-06-10 00:26:43,981] - INFO: Epoch 3281/9999, Iter 164040: Loss = 0.014522762969136238, lr = [0.0001] +[2024-06-10 00:27:23,224] - INFO: Epoch 3282/9999, Iter 164060: Loss = 0.012072020210325718, lr = [0.0001] +[2024-06-10 00:28:03,048] - INFO: Epoch 3282/9999, Iter 164080: Loss = 0.015603139996528625, lr = [0.0001] +[2024-06-10 00:28:43,580] - INFO: Epoch 3283/9999, Iter 164100: Loss = 0.012259207665920258, lr = [0.0001] +[2024-06-10 00:29:25,503] - INFO: Epoch 3283/9999, Iter 164120: Loss = 0.010910658165812492, lr = [0.0001] +[2024-06-10 00:30:05,429] - INFO: Epoch 3283/9999, Iter 164140: Loss = 0.014236676506698132, lr = [0.0001] +[2024-06-10 00:30:44,409] - INFO: Epoch 3284/9999, Iter 164160: Loss = 0.00927798729389906, lr = [0.0001] +[2024-06-10 00:31:22,956] - INFO: Epoch 3284/9999, Iter 164180: Loss = 0.01143303420394659, lr = [0.0001] +[2024-06-10 00:32:02,966] - INFO: Epoch 3285/9999, Iter 164200: Loss = 0.01124509982764721, lr = [0.0001] +[2024-06-10 00:32:42,576] - INFO: Epoch 3285/9999, Iter 164220: Loss = 0.012349385768175125, lr = [0.0001] +[2024-06-10 00:33:22,168] - INFO: Epoch 3285/9999, Iter 164240: Loss = 0.010981905274093151, lr = [0.0001] +[2024-06-10 00:33:37,886] - INFO: Evaluate at epoch 3285! +[2024-06-10 00:33:42,304] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 00:33:42,305] - INFO: Eval (with pad) PSNR (current): 38.170 (3285) SSIM (current): 0.9614 (3285) +[2024-06-10 00:33:42,305] - INFO: Evaluation over. +[2024-06-10 00:34:07,289] - INFO: Epoch 3286/9999, Iter 164260: Loss = 0.008494746871292591, lr = [0.0001] +[2024-06-10 00:34:46,497] - INFO: Epoch 3286/9999, Iter 164280: Loss = 0.016079427674412727, lr = [0.0001] +[2024-06-10 00:35:23,871] - INFO: Epoch 3287/9999, Iter 164300: Loss = 0.014850698411464691, lr = [0.0001] +[2024-06-10 00:36:02,933] - INFO: Epoch 3287/9999, Iter 164320: Loss = 0.01614966243505478, lr = [0.0001] +[2024-06-10 00:36:41,984] - INFO: Epoch 3287/9999, Iter 164340: Loss = 0.01181523036211729, lr = [0.0001] +[2024-06-10 00:37:24,615] - INFO: Epoch 3288/9999, Iter 164360: Loss = 0.01316375844180584, lr = [0.0001] +[2024-06-10 00:38:04,250] - INFO: Epoch 3288/9999, Iter 164380: Loss = 0.011665756814181805, lr = [0.0001] +[2024-06-10 00:38:44,373] - INFO: Epoch 3289/9999, Iter 164400: Loss = 0.005272847134619951, lr = [0.0001] +[2024-06-10 00:39:25,476] - INFO: Epoch 3289/9999, Iter 164420: Loss = 0.012157929129898548, lr = [0.0001] +[2024-06-10 00:40:05,023] - INFO: Epoch 3289/9999, Iter 164440: Loss = 0.01623881794512272, lr = [0.0001] +[2024-06-10 00:40:44,477] - INFO: Epoch 3290/9999, Iter 164460: Loss = 0.011404993012547493, lr = [0.0001] +[2024-06-10 00:41:24,685] - INFO: Epoch 3290/9999, Iter 164480: Loss = 0.012958911247551441, lr = [0.0001] +[2024-06-10 00:42:01,282] - INFO: Evaluate at epoch 3290! +[2024-06-10 00:42:05,568] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 00:42:05,568] - INFO: Eval (with pad) PSNR (current): 38.175 (3290) SSIM (current): 0.9614 (3290) +[2024-06-10 00:42:05,568] - INFO: Evaluation over. +[2024-06-10 00:42:10,760] - INFO: Epoch 3291/9999, Iter 164500: Loss = 0.011494053527712822, lr = [0.0001] +[2024-06-10 00:42:51,052] - INFO: Epoch 3291/9999, Iter 164520: Loss = 0.016833599656820297, lr = [0.0001] +[2024-06-10 00:43:30,377] - INFO: Epoch 3291/9999, Iter 164540: Loss = 0.015159840695559978, lr = [0.0001] +[2024-06-10 00:44:11,532] - INFO: Epoch 3292/9999, Iter 164560: Loss = 0.011589783243834972, lr = [0.0001] +[2024-06-10 00:44:49,752] - INFO: Epoch 3292/9999, Iter 164580: Loss = 0.013949540443718433, lr = [0.0001] +[2024-06-10 00:45:28,721] - INFO: Epoch 3293/9999, Iter 164600: Loss = 0.009636088274419308, lr = [0.0001] +[2024-06-10 00:46:11,628] - INFO: Epoch 3293/9999, Iter 164620: Loss = 0.009656270034611225, lr = [0.0001] +[2024-06-10 00:46:52,063] - INFO: Epoch 3293/9999, Iter 164640: Loss = 0.012353022582828999, lr = [0.0001] +[2024-06-10 00:47:31,340] - INFO: Epoch 3294/9999, Iter 164660: Loss = 0.011926871724426746, lr = [0.0001] +[2024-06-10 00:48:11,441] - INFO: Epoch 3294/9999, Iter 164680: Loss = 0.009289063513278961, lr = [0.0001] +[2024-06-10 00:48:51,392] - INFO: Epoch 3295/9999, Iter 164700: Loss = 0.016225896775722504, lr = [0.0001] +[2024-06-10 00:49:31,359] - INFO: Epoch 3295/9999, Iter 164720: Loss = 0.014623970724642277, lr = [0.0001] +[2024-06-10 00:50:11,343] - INFO: Epoch 3295/9999, Iter 164740: Loss = 0.012477894313633442, lr = [0.0001] +[2024-06-10 00:50:27,217] - INFO: Evaluate at epoch 3295! +[2024-06-10 00:50:31,517] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 00:50:31,517] - INFO: Eval (with pad) PSNR (current): 38.145 (3295) SSIM (current): 0.9613 (3295) +[2024-06-10 00:50:31,517] - INFO: Evaluation over. +[2024-06-10 00:50:56,417] - INFO: Epoch 3296/9999, Iter 164760: Loss = 0.015199027955532074, lr = [0.0001] +[2024-06-10 00:51:37,339] - INFO: Epoch 3296/9999, Iter 164780: Loss = 0.008086266927421093, lr = [0.0001] +[2024-06-10 00:52:15,483] - INFO: Epoch 3297/9999, Iter 164800: Loss = 0.012448273599147797, lr = [0.0001] +[2024-06-10 00:52:55,369] - INFO: Epoch 3297/9999, Iter 164820: Loss = 0.011424658820033073, lr = [0.0001] +[2024-06-10 00:53:35,299] - INFO: Epoch 3297/9999, Iter 164840: Loss = 0.014489810913801193, lr = [0.0001] +[2024-06-10 00:54:15,763] - INFO: Epoch 3298/9999, Iter 164860: Loss = 0.009078596718609333, lr = [0.0001] +[2024-06-10 00:54:54,377] - INFO: Epoch 3298/9999, Iter 164880: Loss = 0.014740919694304466, lr = [0.0001] +[2024-06-10 00:55:34,751] - INFO: Epoch 3299/9999, Iter 164900: Loss = 0.01131354458630085, lr = [0.0001] +[2024-06-10 00:56:15,792] - INFO: Epoch 3299/9999, Iter 164920: Loss = 0.014073819853365421, lr = [0.0001] +[2024-06-10 00:56:54,508] - INFO: Epoch 3299/9999, Iter 164940: Loss = 0.011800920590758324, lr = [0.0001] +[2024-06-10 00:57:36,541] - INFO: Epoch 3300/9999, Iter 164960: Loss = 0.010410062037408352, lr = [0.0001] +[2024-06-10 00:58:16,526] - INFO: Epoch 3300/9999, Iter 164980: Loss = 0.008875111117959023, lr = [0.0001] +[2024-06-10 00:58:51,415] - INFO: Evaluate at epoch 3300! +[2024-06-10 00:58:56,111] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 00:58:56,111] - INFO: Eval (with pad) PSNR (current): 38.169 (3300) SSIM (current): 0.9614 (3300) +[2024-06-10 00:58:56,111] - INFO: Evaluation over. +[2024-06-10 00:59:01,772] - INFO: Epoch 3301/9999, Iter 165000: Loss = 0.013780222274363041, lr = [0.0001] +[2024-06-10 00:59:42,417] - INFO: Epoch 3301/9999, Iter 165020: Loss = 0.010578276589512825, lr = [0.0001] +[2024-06-10 01:00:22,868] - INFO: Epoch 3301/9999, Iter 165040: Loss = 0.018018310889601707, lr = [0.0001] +[2024-06-10 01:01:03,490] - INFO: Epoch 3302/9999, Iter 165060: Loss = 0.01294267363846302, lr = [0.0001] +[2024-06-10 01:01:44,038] - INFO: Epoch 3302/9999, Iter 165080: Loss = 0.013800413347780704, lr = [0.0001] +[2024-06-10 01:02:22,781] - INFO: Epoch 3303/9999, Iter 165100: Loss = 0.007997370325028896, lr = [0.0001] +[2024-06-10 01:03:03,701] - INFO: Epoch 3303/9999, Iter 165120: Loss = 0.012040396220982075, lr = [0.0001] +[2024-06-10 01:03:44,567] - INFO: Epoch 3303/9999, Iter 165140: Loss = 0.01297175232321024, lr = [0.0001] +[2024-06-10 01:04:24,844] - INFO: Epoch 3304/9999, Iter 165160: Loss = 0.013909750618040562, lr = [0.0001] +[2024-06-10 01:05:04,591] - INFO: Epoch 3304/9999, Iter 165180: Loss = 0.010620319284498692, lr = [0.0001] +[2024-06-10 01:05:43,817] - INFO: Epoch 3305/9999, Iter 165200: Loss = 0.0178578719496727, lr = [0.0001] +[2024-06-10 01:06:25,161] - INFO: Epoch 3305/9999, Iter 165220: Loss = 0.013958233408629894, lr = [0.0001] +[2024-06-10 01:07:04,406] - INFO: Epoch 3305/9999, Iter 165240: Loss = 0.01067198347300291, lr = [0.0001] +[2024-06-10 01:07:20,332] - INFO: Evaluate at epoch 3305! +[2024-06-10 01:07:24,581] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 01:07:24,581] - INFO: Eval (with pad) PSNR (current): 38.067 (3305) SSIM (current): 0.9614 (3305) +[2024-06-10 01:07:24,581] - INFO: Evaluation over. +[2024-06-10 01:07:50,413] - INFO: Epoch 3306/9999, Iter 165260: Loss = 0.01321589294821024, lr = [0.0001] +[2024-06-10 01:08:29,654] - INFO: Epoch 3306/9999, Iter 165280: Loss = 0.018512582406401634, lr = [0.0001] +[2024-06-10 01:09:09,779] - INFO: Epoch 3307/9999, Iter 165300: Loss = 0.015073318034410477, lr = [0.0001] +[2024-06-10 01:09:51,301] - INFO: Epoch 3307/9999, Iter 165320: Loss = 0.009017417207360268, lr = [0.0001] +[2024-06-10 01:10:31,408] - INFO: Epoch 3307/9999, Iter 165340: Loss = 0.010154316201806068, lr = [0.0001] +[2024-06-10 01:11:12,060] - INFO: Epoch 3308/9999, Iter 165360: Loss = 0.01150893047451973, lr = [0.0001] +[2024-06-10 01:11:52,280] - INFO: Epoch 3308/9999, Iter 165380: Loss = 0.01565590500831604, lr = [0.0001] +[2024-06-10 01:12:32,616] - INFO: Epoch 3309/9999, Iter 165400: Loss = 0.008595780469477177, lr = [0.0001] +[2024-06-10 01:13:13,174] - INFO: Epoch 3309/9999, Iter 165420: Loss = 0.01016163919121027, lr = [0.0001] +[2024-06-10 01:13:52,883] - INFO: Epoch 3309/9999, Iter 165440: Loss = 0.017071546986699104, lr = [0.0001] +[2024-06-10 01:14:32,016] - INFO: Epoch 3310/9999, Iter 165460: Loss = 0.01926438882946968, lr = [0.0001] +[2024-06-10 01:15:09,588] - INFO: Epoch 3310/9999, Iter 165480: Loss = 0.01768985018134117, lr = [0.0001] +[2024-06-10 01:15:46,507] - INFO: Evaluate at epoch 3310! +[2024-06-10 01:15:50,841] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 01:15:50,842] - INFO: Eval (with pad) PSNR (current): 38.171 (3310) SSIM (current): 0.9614 (3310) +[2024-06-10 01:15:50,842] - INFO: Evaluation over. +[2024-06-10 01:15:55,908] - INFO: Epoch 3311/9999, Iter 165500: Loss = 0.007158988155424595, lr = [0.0001] +[2024-06-10 01:16:36,986] - INFO: Epoch 3311/9999, Iter 165520: Loss = 0.014013620093464851, lr = [0.0001] +[2024-06-10 01:17:15,567] - INFO: Epoch 3311/9999, Iter 165540: Loss = 0.009683577343821526, lr = [0.0001] +[2024-06-10 01:17:56,081] - INFO: Epoch 3312/9999, Iter 165560: Loss = 0.014818663708865643, lr = [0.0001] +[2024-06-10 01:18:36,254] - INFO: Epoch 3312/9999, Iter 165580: Loss = 0.008155862800776958, lr = [0.0001] +[2024-06-10 01:19:15,565] - INFO: Epoch 3313/9999, Iter 165600: Loss = 0.013166332617402077, lr = [0.0001] +[2024-06-10 01:19:56,452] - INFO: Epoch 3313/9999, Iter 165620: Loss = 0.015228886157274246, lr = [0.0001] +[2024-06-10 01:20:36,006] - INFO: Epoch 3313/9999, Iter 165640: Loss = 0.0118311932310462, lr = [0.0001] +[2024-06-10 01:21:16,310] - INFO: Epoch 3314/9999, Iter 165660: Loss = 0.0160080436617136, lr = [0.0001] +[2024-06-10 01:21:56,440] - INFO: Epoch 3314/9999, Iter 165680: Loss = 0.01156839169561863, lr = [0.0001] +[2024-06-10 01:22:35,525] - INFO: Epoch 3315/9999, Iter 165700: Loss = 0.01702253706753254, lr = [0.0001] +[2024-06-10 01:23:13,600] - INFO: Epoch 3315/9999, Iter 165720: Loss = 0.013676135800778866, lr = [0.0001] +[2024-06-10 01:23:54,829] - INFO: Epoch 3315/9999, Iter 165740: Loss = 0.010430521331727505, lr = [0.0001] +[2024-06-10 01:24:11,145] - INFO: Evaluate at epoch 3315! +[2024-06-10 01:24:15,479] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 01:24:15,479] - INFO: Eval (with pad) PSNR (current): 38.161 (3315) SSIM (current): 0.9615 (3315) +[2024-06-10 01:24:15,479] - INFO: Evaluation over. +[2024-06-10 01:24:41,811] - INFO: Epoch 3316/9999, Iter 165760: Loss = 0.01299651712179184, lr = [0.0001] +[2024-06-10 01:25:22,092] - INFO: Epoch 3316/9999, Iter 165780: Loss = 0.012771195732057095, lr = [0.0001] +[2024-06-10 01:26:00,485] - INFO: Epoch 3317/9999, Iter 165800: Loss = 0.010878974571824074, lr = [0.0001] +[2024-06-10 01:26:40,831] - INFO: Epoch 3317/9999, Iter 165820: Loss = 0.011242357082664967, lr = [0.0001] +[2024-06-10 01:27:21,200] - INFO: Epoch 3317/9999, Iter 165840: Loss = 0.009725344367325306, lr = [0.0001] +[2024-06-10 01:27:59,811] - INFO: Epoch 3318/9999, Iter 165860: Loss = 0.01059302780777216, lr = [0.0001] +[2024-06-10 01:28:40,372] - INFO: Epoch 3318/9999, Iter 165880: Loss = 0.01213803794234991, lr = [0.0001] +[2024-06-10 01:29:17,856] - INFO: Epoch 3319/9999, Iter 165900: Loss = 0.017810354009270668, lr = [0.0001] +[2024-06-10 01:29:59,591] - INFO: Epoch 3319/9999, Iter 165920: Loss = 0.009122180752456188, lr = [0.0001] +[2024-06-10 01:30:38,920] - INFO: Epoch 3319/9999, Iter 165940: Loss = 0.017369456589221954, lr = [0.0001] +[2024-06-10 01:31:18,556] - INFO: Epoch 3320/9999, Iter 165960: Loss = 0.013987360522150993, lr = [0.0001] +[2024-06-10 01:31:59,318] - INFO: Epoch 3320/9999, Iter 165980: Loss = 0.017034560441970825, lr = [0.0001] +[2024-06-10 01:32:33,484] - INFO: Evaluate at epoch 3320! +[2024-06-10 01:32:37,910] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 01:32:37,911] - INFO: Eval (with pad) PSNR (current): 38.178 (3320) SSIM (current): 0.9614 (3320) +[2024-06-10 01:32:37,911] - INFO: Evaluation over. +[2024-06-10 01:32:42,988] - INFO: Epoch 3321/9999, Iter 166000: Loss = 0.018048319965600967, lr = [0.0001] +[2024-06-10 01:33:22,817] - INFO: Epoch 3321/9999, Iter 166020: Loss = 0.014041358605027199, lr = [0.0001] +[2024-06-10 01:34:01,646] - INFO: Epoch 3321/9999, Iter 166040: Loss = 0.01201638113707304, lr = [0.0001] +[2024-06-10 01:34:41,758] - INFO: Epoch 3322/9999, Iter 166060: Loss = 0.01108610350638628, lr = [0.0001] +[2024-06-10 01:35:22,240] - INFO: Epoch 3322/9999, Iter 166080: Loss = 0.018179507926106453, lr = [0.0001] +[2024-06-10 01:36:01,658] - INFO: Epoch 3323/9999, Iter 166100: Loss = 0.015073911286890507, lr = [0.0001] +[2024-06-10 01:36:42,719] - INFO: Epoch 3323/9999, Iter 166120: Loss = 0.008998767472803593, lr = [0.0001] +[2024-06-10 01:37:23,262] - INFO: Epoch 3323/9999, Iter 166140: Loss = 0.016003133729100227, lr = [0.0001] +[2024-06-10 01:38:02,768] - INFO: Epoch 3324/9999, Iter 166160: Loss = 0.011584307067096233, lr = [0.0001] +[2024-06-10 01:38:43,178] - INFO: Epoch 3324/9999, Iter 166180: Loss = 0.010772358626127243, lr = [0.0001] +[2024-06-10 01:39:23,715] - INFO: Epoch 3325/9999, Iter 166200: Loss = 0.012091093696653843, lr = [0.0001] +[2024-06-10 01:40:05,224] - INFO: Epoch 3325/9999, Iter 166220: Loss = 0.013864666223526001, lr = [0.0001] +[2024-06-10 01:40:45,079] - INFO: Epoch 3325/9999, Iter 166240: Loss = 0.014330923557281494, lr = [0.0001] +[2024-06-10 01:41:00,996] - INFO: Evaluate at epoch 3325! +[2024-06-10 01:41:05,276] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 01:41:05,276] - INFO: Eval (with pad) PSNR (current): 38.127 (3325) SSIM (current): 0.9614 (3325) +[2024-06-10 01:41:05,276] - INFO: Evaluation over. +[2024-06-10 01:41:31,809] - INFO: Epoch 3326/9999, Iter 166260: Loss = 0.009403431788086891, lr = [0.0001] +[2024-06-10 01:42:13,050] - INFO: Epoch 3326/9999, Iter 166280: Loss = 0.01518144179135561, lr = [0.0001] +[2024-06-10 01:42:51,637] - INFO: Epoch 3327/9999, Iter 166300: Loss = 0.01696562021970749, lr = [0.0001] +[2024-06-10 01:43:33,565] - INFO: Epoch 3327/9999, Iter 166320: Loss = 0.007539893966168165, lr = [0.0001] +[2024-06-10 01:44:12,096] - INFO: Epoch 3327/9999, Iter 166340: Loss = 0.01111951656639576, lr = [0.0001] +[2024-06-10 01:44:53,432] - INFO: Epoch 3328/9999, Iter 166360: Loss = 0.007046916056424379, lr = [0.0001] +[2024-06-10 01:45:35,216] - INFO: Epoch 3328/9999, Iter 166380: Loss = 0.017832409590482712, lr = [0.0001] +[2024-06-10 01:46:14,686] - INFO: Epoch 3329/9999, Iter 166400: Loss = 0.017442483454942703, lr = [0.0001] +[2024-06-10 01:46:56,994] - INFO: Epoch 3329/9999, Iter 166420: Loss = 0.00934537686407566, lr = [0.0001] +[2024-06-10 01:47:38,000] - INFO: Epoch 3329/9999, Iter 166440: Loss = 0.012020335532724857, lr = [0.0001] +[2024-06-10 01:48:18,483] - INFO: Epoch 3330/9999, Iter 166460: Loss = 0.012424865737557411, lr = [0.0001] +[2024-06-10 01:48:58,268] - INFO: Epoch 3330/9999, Iter 166480: Loss = 0.010243766009807587, lr = [0.0001] +[2024-06-10 01:49:35,089] - INFO: Evaluate at epoch 3330! +[2024-06-10 01:49:39,381] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 01:49:39,381] - INFO: Eval (with pad) PSNR (current): 38.184 (3330) SSIM (current): 0.9614 (3330) +[2024-06-10 01:49:39,381] - INFO: Evaluation over. +[2024-06-10 01:49:44,588] - INFO: Epoch 3331/9999, Iter 166500: Loss = 0.01893768459558487, lr = [0.0001] +[2024-06-10 01:50:25,815] - INFO: Epoch 3331/9999, Iter 166520: Loss = 0.009587764739990234, lr = [0.0001] +[2024-06-10 01:51:06,329] - INFO: Epoch 3331/9999, Iter 166540: Loss = 0.014340571127831936, lr = [0.0001] +[2024-06-10 01:51:46,251] - INFO: Epoch 3332/9999, Iter 166560: Loss = 0.012153755873441696, lr = [0.0001] +[2024-06-10 01:52:25,878] - INFO: Epoch 3332/9999, Iter 166580: Loss = 0.009062313474714756, lr = [0.0001] +[2024-06-10 01:53:04,738] - INFO: Epoch 3333/9999, Iter 166600: Loss = 0.010838060639798641, lr = [0.0001] +[2024-06-10 01:53:47,189] - INFO: Epoch 3333/9999, Iter 166620: Loss = 0.01057971641421318, lr = [0.0001] +[2024-06-10 01:54:26,576] - INFO: Epoch 3333/9999, Iter 166640: Loss = 0.01664636842906475, lr = [0.0001] +[2024-06-10 01:55:06,941] - INFO: Epoch 3334/9999, Iter 166660: Loss = 0.010026441887021065, lr = [0.0001] +[2024-06-10 01:55:46,092] - INFO: Epoch 3334/9999, Iter 166680: Loss = 0.0131199536845088, lr = [0.0001] +[2024-06-10 01:56:26,269] - INFO: Epoch 3335/9999, Iter 166700: Loss = 0.007558172568678856, lr = [0.0001] +[2024-06-10 01:57:06,894] - INFO: Epoch 3335/9999, Iter 166720: Loss = 0.013288594782352448, lr = [0.0001] +[2024-06-10 01:57:47,592] - INFO: Epoch 3335/9999, Iter 166740: Loss = 0.008773848414421082, lr = [0.0001] +[2024-06-10 01:58:02,784] - INFO: Evaluate at epoch 3335! +[2024-06-10 01:58:07,464] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 01:58:07,465] - INFO: Eval (with pad) PSNR (current): 38.114 (3335) SSIM (current): 0.9613 (3335) +[2024-06-10 01:58:07,465] - INFO: Evaluation over. +[2024-06-10 01:58:33,859] - INFO: Epoch 3336/9999, Iter 166760: Loss = 0.014854274690151215, lr = [0.0001] +[2024-06-10 01:59:14,171] - INFO: Epoch 3336/9999, Iter 166780: Loss = 0.01676618680357933, lr = [0.0001] +[2024-06-10 01:59:52,989] - INFO: Epoch 3337/9999, Iter 166800: Loss = 0.013955793343484402, lr = [0.0001] +[2024-06-10 02:00:35,500] - INFO: Epoch 3337/9999, Iter 166820: Loss = 0.011829206719994545, lr = [0.0001] +[2024-06-10 02:01:13,780] - INFO: Epoch 3337/9999, Iter 166840: Loss = 0.010766797699034214, lr = [0.0001] +[2024-06-10 02:01:53,160] - INFO: Epoch 3338/9999, Iter 166860: Loss = 0.013586622662842274, lr = [0.0001] +[2024-06-10 02:02:34,421] - INFO: Epoch 3338/9999, Iter 166880: Loss = 0.009561749175190926, lr = [0.0001] +[2024-06-10 02:03:13,813] - INFO: Epoch 3339/9999, Iter 166900: Loss = 0.014154530130326748, lr = [0.0001] +[2024-06-10 02:03:55,782] - INFO: Epoch 3339/9999, Iter 166920: Loss = 0.013172716833651066, lr = [0.0001] +[2024-06-10 02:04:34,737] - INFO: Epoch 3339/9999, Iter 166940: Loss = 0.015121335163712502, lr = [0.0001] +[2024-06-10 02:05:15,018] - INFO: Epoch 3340/9999, Iter 166960: Loss = 0.019360460340976715, lr = [0.0001] +[2024-06-10 02:05:56,692] - INFO: Epoch 3340/9999, Iter 166980: Loss = 0.014616996981203556, lr = [0.0001] +[2024-06-10 02:06:31,954] - INFO: Evaluate at epoch 3340! +[2024-06-10 02:06:36,477] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 02:06:36,477] - INFO: Eval (with pad) PSNR (current): 38.176 (3340) SSIM (current): 0.9614 (3340) +[2024-06-10 02:06:36,477] - INFO: Evaluation over. +[2024-06-10 02:06:41,998] - INFO: Epoch 3341/9999, Iter 167000: Loss = 0.014744429849088192, lr = [0.0001] +[2024-06-10 02:07:21,209] - INFO: Epoch 3341/9999, Iter 167020: Loss = 0.015650756657123566, lr = [0.0001] +[2024-06-10 02:08:02,103] - INFO: Epoch 3341/9999, Iter 167040: Loss = 0.015377371571958065, lr = [0.0001] +[2024-06-10 02:08:43,179] - INFO: Epoch 3342/9999, Iter 167060: Loss = 0.01174292340874672, lr = [0.0001] +[2024-06-10 02:09:24,428] - INFO: Epoch 3342/9999, Iter 167080: Loss = 0.01045351754873991, lr = [0.0001] +[2024-06-10 02:10:03,231] - INFO: Epoch 3343/9999, Iter 167100: Loss = 0.008271227590739727, lr = [0.0001] +[2024-06-10 02:10:44,349] - INFO: Epoch 3343/9999, Iter 167120: Loss = 0.01607595384120941, lr = [0.0001] +[2024-06-10 02:11:24,471] - INFO: Epoch 3343/9999, Iter 167140: Loss = 0.009628734551370144, lr = [0.0001] +[2024-06-10 02:12:04,748] - INFO: Epoch 3344/9999, Iter 167160: Loss = 0.015027366578578949, lr = [0.0001] +[2024-06-10 02:12:45,032] - INFO: Epoch 3344/9999, Iter 167180: Loss = 0.010671470314264297, lr = [0.0001] +[2024-06-10 02:13:25,637] - INFO: Epoch 3345/9999, Iter 167200: Loss = 0.011272159405052662, lr = [0.0001] +[2024-06-10 02:14:07,193] - INFO: Epoch 3345/9999, Iter 167220: Loss = 0.017807748168706894, lr = [0.0001] +[2024-06-10 02:14:47,600] - INFO: Epoch 3345/9999, Iter 167240: Loss = 0.014025834389030933, lr = [0.0001] +[2024-06-10 02:15:02,494] - INFO: Evaluate at epoch 3345! +[2024-06-10 02:15:06,794] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 02:15:06,794] - INFO: Eval (with pad) PSNR (current): 38.180 (3345) SSIM (current): 0.9614 (3345) +[2024-06-10 02:15:06,794] - INFO: Evaluation over. +[2024-06-10 02:15:32,908] - INFO: Epoch 3346/9999, Iter 167260: Loss = 0.015522212721407413, lr = [0.0001] +[2024-06-10 02:16:11,570] - INFO: Epoch 3346/9999, Iter 167280: Loss = 0.008858696557581425, lr = [0.0001] +[2024-06-10 02:16:50,367] - INFO: Epoch 3347/9999, Iter 167300: Loss = 0.014463421888649464, lr = [0.0001] +[2024-06-10 02:17:30,941] - INFO: Epoch 3347/9999, Iter 167320: Loss = 0.008656523190438747, lr = [0.0001] +[2024-06-10 02:18:10,604] - INFO: Epoch 3347/9999, Iter 167340: Loss = 0.01222108956426382, lr = [0.0001] +[2024-06-10 02:18:50,787] - INFO: Epoch 3348/9999, Iter 167360: Loss = 0.00793468952178955, lr = [0.0001] +[2024-06-10 02:19:29,688] - INFO: Epoch 3348/9999, Iter 167380: Loss = 0.008595146238803864, lr = [0.0001] +[2024-06-10 02:20:09,032] - INFO: Epoch 3349/9999, Iter 167400: Loss = 0.014003811404109001, lr = [0.0001] +[2024-06-10 02:20:50,180] - INFO: Epoch 3349/9999, Iter 167420: Loss = 0.015551607124507427, lr = [0.0001] +[2024-06-10 02:21:30,162] - INFO: Epoch 3349/9999, Iter 167440: Loss = 0.01149287261068821, lr = [0.0001] +[2024-06-10 02:22:09,551] - INFO: Epoch 3350/9999, Iter 167460: Loss = 0.016140416264533997, lr = [0.0001] +[2024-06-10 02:22:48,997] - INFO: Epoch 3350/9999, Iter 167480: Loss = 0.011825292371213436, lr = [0.0001] +[2024-06-10 02:23:26,302] - INFO: Evaluate at epoch 3350! +[2024-06-10 02:23:30,638] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 02:23:30,638] - INFO: Eval (with pad) PSNR (current): 38.166 (3350) SSIM (current): 0.9614 (3350) +[2024-06-10 02:23:30,638] - INFO: Evaluation over. +[2024-06-10 02:23:36,054] - INFO: Epoch 3351/9999, Iter 167500: Loss = 0.013352440670132637, lr = [0.0001] +[2024-06-10 02:24:18,082] - INFO: Epoch 3351/9999, Iter 167520: Loss = 0.012932957150042057, lr = [0.0001] +[2024-06-10 02:24:57,597] - INFO: Epoch 3351/9999, Iter 167540: Loss = 0.01569797284901142, lr = [0.0001] +[2024-06-10 02:25:39,120] - INFO: Epoch 3352/9999, Iter 167560: Loss = 0.011021120473742485, lr = [0.0001] +[2024-06-10 02:26:17,950] - INFO: Epoch 3352/9999, Iter 167580: Loss = 0.013844236731529236, lr = [0.0001] +[2024-06-10 02:26:56,948] - INFO: Epoch 3353/9999, Iter 167600: Loss = 0.00783608015626669, lr = [0.0001] +[2024-06-10 02:27:38,184] - INFO: Epoch 3353/9999, Iter 167620: Loss = 0.012188379652798176, lr = [0.0001] +[2024-06-10 02:28:17,177] - INFO: Epoch 3353/9999, Iter 167640: Loss = 0.011880750767886639, lr = [0.0001] +[2024-06-10 02:28:58,183] - INFO: Epoch 3354/9999, Iter 167660: Loss = 0.01962854713201523, lr = [0.0001] +[2024-06-10 02:29:37,864] - INFO: Epoch 3354/9999, Iter 167680: Loss = 0.011945754289627075, lr = [0.0001] +[2024-06-10 02:30:17,789] - INFO: Epoch 3355/9999, Iter 167700: Loss = 0.014078338630497456, lr = [0.0001] +[2024-06-10 02:30:58,692] - INFO: Epoch 3355/9999, Iter 167720: Loss = 0.009840074926614761, lr = [0.0001] +[2024-06-10 02:31:38,496] - INFO: Epoch 3355/9999, Iter 167740: Loss = 0.009860803373157978, lr = [0.0001] +[2024-06-10 02:31:53,261] - INFO: Evaluate at epoch 3355! +[2024-06-10 02:31:57,789] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 02:31:57,789] - INFO: Eval (with pad) PSNR (current): 38.114 (3355) SSIM (current): 0.9614 (3355) +[2024-06-10 02:31:57,789] - INFO: Evaluation over. +[2024-06-10 02:32:23,715] - INFO: Epoch 3356/9999, Iter 167760: Loss = 0.013477263040840626, lr = [0.0001] +[2024-06-10 02:33:02,763] - INFO: Epoch 3356/9999, Iter 167780: Loss = 0.014263976365327835, lr = [0.0001] +[2024-06-10 02:34:32,952] - INFO: Epoch 3357/9999, Iter 167800: Loss = 0.00498665776103735, lr = [0.0001] +[2024-06-10 02:35:13,350] - INFO: Epoch 3357/9999, Iter 167820: Loss = 0.015798280015587807, lr = [0.0001] +[2024-06-10 02:35:52,105] - INFO: Epoch 3357/9999, Iter 167840: Loss = 0.005990180186927319, lr = [0.0001] +[2024-06-10 02:36:32,131] - INFO: Epoch 3358/9999, Iter 167860: Loss = 0.009724692441523075, lr = [0.0001] +[2024-06-10 02:37:11,146] - INFO: Epoch 3358/9999, Iter 167880: Loss = 0.011589715257287025, lr = [0.0001] +[2024-06-10 02:37:49,010] - INFO: Epoch 3359/9999, Iter 167900: Loss = 0.01543300598859787, lr = [0.0001] +[2024-06-10 02:38:28,972] - INFO: Epoch 3359/9999, Iter 167920: Loss = 0.011085360310971737, lr = [0.0001] +[2024-06-10 02:39:08,954] - INFO: Epoch 3359/9999, Iter 167940: Loss = 0.017527176067233086, lr = [0.0001] +[2024-06-10 02:39:49,536] - INFO: Epoch 3360/9999, Iter 167960: Loss = 0.015873171389102936, lr = [0.0001] +[2024-06-10 02:40:30,876] - INFO: Epoch 3360/9999, Iter 167980: Loss = 0.012247757986187935, lr = [0.0001] +[2024-06-10 02:41:06,740] - INFO: Evaluate at epoch 3360! +[2024-06-10 02:41:10,981] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 02:41:10,982] - INFO: Eval (with pad) PSNR (current): 38.156 (3360) SSIM (current): 0.9614 (3360) +[2024-06-10 02:41:10,982] - INFO: Evaluation over. +[2024-06-10 02:41:16,726] - INFO: Epoch 3361/9999, Iter 168000: Loss = 0.018570851534605026, lr = [0.0001] +[2024-06-10 02:41:55,553] - INFO: Epoch 3361/9999, Iter 168020: Loss = 0.011599928140640259, lr = [0.0001] +[2024-06-10 02:42:36,792] - INFO: Epoch 3361/9999, Iter 168040: Loss = 0.013150733895599842, lr = [0.0001] +[2024-06-10 02:43:17,282] - INFO: Epoch 3362/9999, Iter 168060: Loss = 0.010807812213897705, lr = [0.0001] +[2024-06-10 02:43:58,303] - INFO: Epoch 3362/9999, Iter 168080: Loss = 0.012163259088993073, lr = [0.0001] +[2024-06-10 02:44:37,709] - INFO: Epoch 3363/9999, Iter 168100: Loss = 0.01305720116943121, lr = [0.0001] +[2024-06-10 02:45:17,347] - INFO: Epoch 3363/9999, Iter 168120: Loss = 0.007453348953276873, lr = [0.0001] +[2024-06-10 02:45:57,317] - INFO: Epoch 3363/9999, Iter 168140: Loss = 0.01655501313507557, lr = [0.0001] +[2024-06-10 02:46:39,291] - INFO: Epoch 3364/9999, Iter 168160: Loss = 0.015532547608017921, lr = [0.0001] +[2024-06-10 02:47:19,729] - INFO: Epoch 3364/9999, Iter 168180: Loss = 0.013507649302482605, lr = [0.0001] +[2024-06-10 02:48:00,644] - INFO: Epoch 3365/9999, Iter 168200: Loss = 0.00863819569349289, lr = [0.0001] +[2024-06-10 02:48:41,460] - INFO: Epoch 3365/9999, Iter 168220: Loss = 0.00825677253305912, lr = [0.0001] +[2024-06-10 02:49:19,839] - INFO: Epoch 3365/9999, Iter 168240: Loss = 0.015790609642863274, lr = [0.0001] +[2024-06-10 02:49:35,478] - INFO: Evaluate at epoch 3365! +[2024-06-10 02:49:39,958] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 02:49:39,958] - INFO: Eval (with pad) PSNR (current): 38.156 (3365) SSIM (current): 0.9614 (3365) +[2024-06-10 02:49:39,958] - INFO: Evaluation over. +[2024-06-10 02:50:06,374] - INFO: Epoch 3366/9999, Iter 168260: Loss = 0.008547354489564896, lr = [0.0001] +[2024-06-10 02:50:45,079] - INFO: Epoch 3366/9999, Iter 168280: Loss = 0.01453660149127245, lr = [0.0001] +[2024-06-10 02:51:25,699] - INFO: Epoch 3367/9999, Iter 168300: Loss = 0.023720843717455864, lr = [0.0001] +[2024-06-10 02:52:06,764] - INFO: Epoch 3367/9999, Iter 168320: Loss = 0.011950874701142311, lr = [0.0001] +[2024-06-10 02:52:46,788] - INFO: Epoch 3367/9999, Iter 168340: Loss = 0.013447564095258713, lr = [0.0001] +[2024-06-10 02:53:26,943] - INFO: Epoch 3368/9999, Iter 168360: Loss = 0.013156515546143055, lr = [0.0001] +[2024-06-10 02:54:07,737] - INFO: Epoch 3368/9999, Iter 168380: Loss = 0.014641297981142998, lr = [0.0001] +[2024-06-10 02:54:47,416] - INFO: Epoch 3369/9999, Iter 168400: Loss = 0.014550273306667805, lr = [0.0001] +[2024-06-10 02:55:27,839] - INFO: Epoch 3369/9999, Iter 168420: Loss = 0.010689418762922287, lr = [0.0001] +[2024-06-10 02:56:08,060] - INFO: Epoch 3369/9999, Iter 168440: Loss = 0.011194010265171528, lr = [0.0001] +[2024-06-10 02:56:48,540] - INFO: Epoch 3370/9999, Iter 168460: Loss = 0.011507105082273483, lr = [0.0001] +[2024-06-10 02:57:26,787] - INFO: Epoch 3370/9999, Iter 168480: Loss = 0.010754944756627083, lr = [0.0001] +[2024-06-10 02:58:01,572] - INFO: Evaluate at epoch 3370! +[2024-06-10 02:58:05,877] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 02:58:05,877] - INFO: Eval (with pad) PSNR (current): 38.161 (3370) SSIM (current): 0.9614 (3370) +[2024-06-10 02:58:05,877] - INFO: Evaluation over. +[2024-06-10 02:58:11,133] - INFO: Epoch 3371/9999, Iter 168500: Loss = 0.011010585352778435, lr = [0.0001] +[2024-06-10 02:58:52,945] - INFO: Epoch 3371/9999, Iter 168520: Loss = 0.010126289911568165, lr = [0.0001] +[2024-06-10 02:59:31,947] - INFO: Epoch 3371/9999, Iter 168540: Loss = 0.009344913065433502, lr = [0.0001] +[2024-06-10 03:00:11,669] - INFO: Epoch 3372/9999, Iter 168560: Loss = 0.010947625152766705, lr = [0.0001] +[2024-06-10 03:00:49,796] - INFO: Epoch 3372/9999, Iter 168580: Loss = 0.010863990522921085, lr = [0.0001] +[2024-06-10 03:01:29,522] - INFO: Epoch 3373/9999, Iter 168600: Loss = 0.012586680240929127, lr = [0.0001] +[2024-06-10 03:02:10,097] - INFO: Epoch 3373/9999, Iter 168620: Loss = 0.010321511887013912, lr = [0.0001] +[2024-06-10 03:02:48,926] - INFO: Epoch 3373/9999, Iter 168640: Loss = 0.015499760396778584, lr = [0.0001] +[2024-06-10 03:03:30,034] - INFO: Epoch 3374/9999, Iter 168660: Loss = 0.015590635128319263, lr = [0.0001] +[2024-06-10 03:04:09,299] - INFO: Epoch 3374/9999, Iter 168680: Loss = 0.0137720238417387, lr = [0.0001] +[2024-06-10 03:04:49,071] - INFO: Epoch 3375/9999, Iter 168700: Loss = 0.01246586162596941, lr = [0.0001] +[2024-06-10 03:05:29,283] - INFO: Epoch 3375/9999, Iter 168720: Loss = 0.013033615425229073, lr = [0.0001] +[2024-06-10 03:06:08,087] - INFO: Epoch 3375/9999, Iter 168740: Loss = 0.010484276339411736, lr = [0.0001] +[2024-06-10 03:06:23,690] - INFO: Evaluate at epoch 3375! +[2024-06-10 03:06:28,064] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 03:06:28,065] - INFO: Eval (with pad) PSNR (current): 38.187 (3375) SSIM (current): 0.9614 (3375) +[2024-06-10 03:06:28,065] - INFO: Evaluation over. +[2024-06-10 03:06:51,976] - INFO: Epoch 3376/9999, Iter 168760: Loss = 0.007218387443572283, lr = [0.0001] +[2024-06-10 03:07:32,737] - INFO: Epoch 3376/9999, Iter 168780: Loss = 0.012119348160922527, lr = [0.0001] +[2024-06-10 03:08:11,365] - INFO: Epoch 3377/9999, Iter 168800: Loss = 0.007434065919369459, lr = [0.0001] +[2024-06-10 03:08:51,640] - INFO: Epoch 3377/9999, Iter 168820: Loss = 0.015427856706082821, lr = [0.0001] +[2024-06-10 03:09:32,413] - INFO: Epoch 3377/9999, Iter 168840: Loss = 0.011880869045853615, lr = [0.0001] +[2024-06-10 03:10:13,799] - INFO: Epoch 3378/9999, Iter 168860: Loss = 0.012110949493944645, lr = [0.0001] +[2024-06-10 03:10:52,744] - INFO: Epoch 3378/9999, Iter 168880: Loss = 0.020396433770656586, lr = [0.0001] +[2024-06-10 03:11:32,543] - INFO: Epoch 3379/9999, Iter 168900: Loss = 0.016004078090190887, lr = [0.0001] +[2024-06-10 03:12:11,449] - INFO: Epoch 3379/9999, Iter 168920: Loss = 0.013699970208108425, lr = [0.0001] +[2024-06-10 03:12:49,410] - INFO: Epoch 3379/9999, Iter 168940: Loss = 0.011937563307583332, lr = [0.0001] +[2024-06-10 03:13:30,385] - INFO: Epoch 3380/9999, Iter 168960: Loss = 0.008612588979303837, lr = [0.0001] +[2024-06-10 03:14:11,066] - INFO: Epoch 3380/9999, Iter 168980: Loss = 0.013089076615869999, lr = [0.0001] +[2024-06-10 03:14:45,949] - INFO: Evaluate at epoch 3380! +[2024-06-10 03:14:50,515] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 03:14:50,515] - INFO: Eval (with pad) PSNR (current): 38.170 (3380) SSIM (current): 0.9613 (3380) +[2024-06-10 03:14:50,515] - INFO: Evaluation over. +[2024-06-10 03:14:56,069] - INFO: Epoch 3381/9999, Iter 169000: Loss = 0.008990536443889141, lr = [0.0001] +[2024-06-10 03:15:35,747] - INFO: Epoch 3381/9999, Iter 169020: Loss = 0.01187113020569086, lr = [0.0001] +[2024-06-10 03:16:15,277] - INFO: Epoch 3381/9999, Iter 169040: Loss = 0.012693664990365505, lr = [0.0001] +[2024-06-10 03:16:54,901] - INFO: Epoch 3382/9999, Iter 169060: Loss = 0.010250824503600597, lr = [0.0001] +[2024-06-10 03:17:34,038] - INFO: Epoch 3382/9999, Iter 169080: Loss = 0.016075633466243744, lr = [0.0001] +[2024-06-10 03:18:13,843] - INFO: Epoch 3383/9999, Iter 169100: Loss = 0.010885180905461311, lr = [0.0001] +[2024-06-10 03:18:55,736] - INFO: Epoch 3383/9999, Iter 169120: Loss = 0.00909870769828558, lr = [0.0001] +[2024-06-10 03:19:33,619] - INFO: Epoch 3383/9999, Iter 169140: Loss = 0.015762224793434143, lr = [0.0001] +[2024-06-10 03:20:13,948] - INFO: Epoch 3384/9999, Iter 169160: Loss = 0.012113680131733418, lr = [0.0001] +[2024-06-10 03:20:55,175] - INFO: Epoch 3384/9999, Iter 169180: Loss = 0.017076782882213593, lr = [0.0001] +[2024-06-10 03:21:34,857] - INFO: Epoch 3385/9999, Iter 169200: Loss = 0.015501894056797028, lr = [0.0001] +[2024-06-10 03:22:15,980] - INFO: Epoch 3385/9999, Iter 169220: Loss = 0.01243465393781662, lr = [0.0001] +[2024-06-10 03:22:54,546] - INFO: Epoch 3385/9999, Iter 169240: Loss = 0.012564308010041714, lr = [0.0001] +[2024-06-10 03:23:10,074] - INFO: Evaluate at epoch 3385! +[2024-06-10 03:23:14,460] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 03:23:14,460] - INFO: Eval (with pad) PSNR (current): 38.157 (3385) SSIM (current): 0.9613 (3385) +[2024-06-10 03:23:14,461] - INFO: Evaluation over. +[2024-06-10 03:23:41,683] - INFO: Epoch 3386/9999, Iter 169260: Loss = 0.014145535416901112, lr = [0.0001] +[2024-06-10 03:24:20,668] - INFO: Epoch 3386/9999, Iter 169280: Loss = 0.007682194001972675, lr = [0.0001] +[2024-06-10 03:25:00,358] - INFO: Epoch 3387/9999, Iter 169300: Loss = 0.02040824480354786, lr = [0.0001] +[2024-06-10 03:25:41,009] - INFO: Epoch 3387/9999, Iter 169320: Loss = 0.010972489602863789, lr = [0.0001] +[2024-06-10 03:26:20,380] - INFO: Epoch 3387/9999, Iter 169340: Loss = 0.013154193758964539, lr = [0.0001] +[2024-06-10 03:27:00,940] - INFO: Epoch 3388/9999, Iter 169360: Loss = 0.007153156213462353, lr = [0.0001] +[2024-06-10 03:27:38,546] - INFO: Epoch 3388/9999, Iter 169380: Loss = 0.010773444548249245, lr = [0.0001] +[2024-06-10 03:28:17,930] - INFO: Epoch 3389/9999, Iter 169400: Loss = 0.010994193144142628, lr = [0.0001] +[2024-06-10 03:28:59,357] - INFO: Epoch 3389/9999, Iter 169420: Loss = 0.010167104192078114, lr = [0.0001] +[2024-06-10 03:29:38,023] - INFO: Epoch 3389/9999, Iter 169440: Loss = 0.012261288240551949, lr = [0.0001] +[2024-06-10 03:30:19,865] - INFO: Epoch 3390/9999, Iter 169460: Loss = 0.014020243659615517, lr = [0.0001] +[2024-06-10 03:31:00,718] - INFO: Epoch 3390/9999, Iter 169480: Loss = 0.009021387435495853, lr = [0.0001] +[2024-06-10 03:31:35,524] - INFO: Evaluate at epoch 3390! +[2024-06-10 03:31:39,788] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 03:31:39,789] - INFO: Eval (with pad) PSNR (current): 38.158 (3390) SSIM (current): 0.9614 (3390) +[2024-06-10 03:31:39,789] - INFO: Evaluation over. +[2024-06-10 03:31:45,923] - INFO: Epoch 3391/9999, Iter 169500: Loss = 0.007618042174726725, lr = [0.0001] +[2024-06-10 03:32:27,599] - INFO: Epoch 3391/9999, Iter 169520: Loss = 0.01301534567028284, lr = [0.0001] +[2024-06-10 03:33:08,054] - INFO: Epoch 3391/9999, Iter 169540: Loss = 0.014992482960224152, lr = [0.0001] +[2024-06-10 03:33:48,228] - INFO: Epoch 3392/9999, Iter 169560: Loss = 0.015555928461253643, lr = [0.0001] +[2024-06-10 03:34:28,772] - INFO: Epoch 3392/9999, Iter 169580: Loss = 0.0096188485622406, lr = [0.0001] +[2024-06-10 03:35:08,059] - INFO: Epoch 3393/9999, Iter 169600: Loss = 0.010657910257577896, lr = [0.0001] +[2024-06-10 03:35:48,096] - INFO: Epoch 3393/9999, Iter 169620: Loss = 0.013537023216485977, lr = [0.0001] +[2024-06-10 03:36:27,821] - INFO: Epoch 3393/9999, Iter 169640: Loss = 0.01585492305457592, lr = [0.0001] +[2024-06-10 03:37:07,531] - INFO: Epoch 3394/9999, Iter 169660: Loss = 0.014120817184448242, lr = [0.0001] +[2024-06-10 03:37:48,588] - INFO: Epoch 3394/9999, Iter 169680: Loss = 0.017676860094070435, lr = [0.0001] +[2024-06-10 03:38:27,429] - INFO: Epoch 3395/9999, Iter 169700: Loss = 0.014233581721782684, lr = [0.0001] +[2024-06-10 03:39:09,781] - INFO: Epoch 3395/9999, Iter 169720: Loss = 0.014747405424714088, lr = [0.0001] +[2024-06-10 03:39:48,904] - INFO: Epoch 3395/9999, Iter 169740: Loss = 0.009901161305606365, lr = [0.0001] +[2024-06-10 03:40:03,070] - INFO: Evaluate at epoch 3395! +[2024-06-10 03:40:07,369] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 03:40:07,369] - INFO: Eval (with pad) PSNR (current): 38.187 (3395) SSIM (current): 0.9614 (3395) +[2024-06-10 03:40:07,369] - INFO: Evaluation over. +[2024-06-10 03:40:33,906] - INFO: Epoch 3396/9999, Iter 169760: Loss = 0.012556997127830982, lr = [0.0001] +[2024-06-10 03:41:13,652] - INFO: Epoch 3396/9999, Iter 169780: Loss = 0.011943717487156391, lr = [0.0001] +[2024-06-10 03:41:53,718] - INFO: Epoch 3397/9999, Iter 169800: Loss = 0.009594667702913284, lr = [0.0001] +[2024-06-10 03:42:33,954] - INFO: Epoch 3397/9999, Iter 169820: Loss = 0.009233670309185982, lr = [0.0001] +[2024-06-10 03:43:11,914] - INFO: Epoch 3397/9999, Iter 169840: Loss = 0.016685863956809044, lr = [0.0001] +[2024-06-10 03:43:52,079] - INFO: Epoch 3398/9999, Iter 169860: Loss = 0.015629615634679794, lr = [0.0001] +[2024-06-10 03:44:33,492] - INFO: Epoch 3398/9999, Iter 169880: Loss = 0.015861082822084427, lr = [0.0001] +[2024-06-10 03:45:11,265] - INFO: Epoch 3399/9999, Iter 169900: Loss = 0.018501041457057, lr = [0.0001] +[2024-06-10 03:45:53,560] - INFO: Epoch 3399/9999, Iter 169920: Loss = 0.01788976974785328, lr = [0.0001] +[2024-06-10 03:46:32,904] - INFO: Epoch 3399/9999, Iter 169940: Loss = 0.017537280917167664, lr = [0.0001] +[2024-06-10 03:47:12,974] - INFO: Epoch 3400/9999, Iter 169960: Loss = 0.011611313559114933, lr = [0.0001] +[2024-06-10 03:47:54,895] - INFO: Epoch 3400/9999, Iter 169980: Loss = 0.012383752502501011, lr = [0.0001] +[2024-06-10 03:48:29,607] - INFO: Evaluate at epoch 3400! +[2024-06-10 03:48:33,989] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 03:48:33,989] - INFO: Eval (with pad) PSNR (current): 38.161 (3400) SSIM (current): 0.9614 (3400) +[2024-06-10 03:48:33,989] - INFO: Evaluation over. +[2024-06-10 03:48:39,705] - INFO: Epoch 3401/9999, Iter 170000: Loss = 0.010872850194573402, lr = [0.0001] +[2024-06-10 03:49:20,233] - INFO: Epoch 3401/9999, Iter 170020: Loss = 0.009837661869823933, lr = [0.0001] +[2024-06-10 03:50:00,843] - INFO: Epoch 3401/9999, Iter 170040: Loss = 0.01376882754266262, lr = [0.0001] +[2024-06-10 03:50:41,651] - INFO: Epoch 3402/9999, Iter 170060: Loss = 0.013360553421080112, lr = [0.0001] +[2024-06-10 03:51:21,612] - INFO: Epoch 3402/9999, Iter 170080: Loss = 0.02066739834845066, lr = [0.0001] +[2024-06-10 03:52:01,181] - INFO: Epoch 3403/9999, Iter 170100: Loss = 0.010992215014994144, lr = [0.0001] +[2024-06-10 03:52:42,748] - INFO: Epoch 3403/9999, Iter 170120: Loss = 0.014553111977875233, lr = [0.0001] +[2024-06-10 03:53:21,175] - INFO: Epoch 3403/9999, Iter 170140: Loss = 0.009300123900175095, lr = [0.0001] +[2024-06-10 03:54:00,894] - INFO: Epoch 3404/9999, Iter 170160: Loss = 0.013579260557889938, lr = [0.0001] +[2024-06-10 03:54:41,836] - INFO: Epoch 3404/9999, Iter 170180: Loss = 0.010995687916874886, lr = [0.0001] +[2024-06-10 03:55:22,382] - INFO: Epoch 3405/9999, Iter 170200: Loss = 0.009160464629530907, lr = [0.0001] +[2024-06-10 03:56:03,096] - INFO: Epoch 3405/9999, Iter 170220: Loss = 0.011300628073513508, lr = [0.0001] +[2024-06-10 03:56:42,400] - INFO: Epoch 3405/9999, Iter 170240: Loss = 0.006062349770218134, lr = [0.0001] +[2024-06-10 03:56:58,142] - INFO: Evaluate at epoch 3405! +[2024-06-10 03:57:02,445] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 03:57:02,446] - INFO: Eval (with pad) PSNR (current): 38.157 (3405) SSIM (current): 0.9613 (3405) +[2024-06-10 03:57:02,446] - INFO: Evaluation over. +[2024-06-10 03:57:30,426] - INFO: Epoch 3406/9999, Iter 170260: Loss = 0.009723151102662086, lr = [0.0001] +[2024-06-10 03:58:11,337] - INFO: Epoch 3406/9999, Iter 170280: Loss = 0.011130450293421745, lr = [0.0001] +[2024-06-10 03:58:50,768] - INFO: Epoch 3407/9999, Iter 170300: Loss = 0.014418001286685467, lr = [0.0001] +[2024-06-10 03:59:32,702] - INFO: Epoch 3407/9999, Iter 170320: Loss = 0.01324524451047182, lr = [0.0001] +[2024-06-10 04:00:11,289] - INFO: Epoch 3407/9999, Iter 170340: Loss = 0.014326274394989014, lr = [0.0001] +[2024-06-10 04:00:52,166] - INFO: Epoch 3408/9999, Iter 170360: Loss = 0.01020230446010828, lr = [0.0001] +[2024-06-10 04:01:33,886] - INFO: Epoch 3408/9999, Iter 170380: Loss = 0.01164932269603014, lr = [0.0001] +[2024-06-10 04:02:13,359] - INFO: Epoch 3409/9999, Iter 170400: Loss = 0.009810279123485088, lr = [0.0001] +[2024-06-10 04:02:53,018] - INFO: Epoch 3409/9999, Iter 170420: Loss = 0.009862265549600124, lr = [0.0001] +[2024-06-10 04:03:33,920] - INFO: Epoch 3409/9999, Iter 170440: Loss = 0.01270899549126625, lr = [0.0001] +[2024-06-10 04:04:14,937] - INFO: Epoch 3410/9999, Iter 170460: Loss = 0.008195525966584682, lr = [0.0001] +[2024-06-10 04:04:55,848] - INFO: Epoch 3410/9999, Iter 170480: Loss = 0.013212285935878754, lr = [0.0001] +[2024-06-10 04:05:30,045] - INFO: Evaluate at epoch 3410! +[2024-06-10 04:05:34,458] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 04:05:34,458] - INFO: Eval (with pad) PSNR (current): 38.168 (3410) SSIM (current): 0.9615 (3410) +[2024-06-10 04:05:34,458] - INFO: Evaluation over. +[2024-06-10 04:05:39,416] - INFO: Epoch 3411/9999, Iter 170500: Loss = 0.011258943006396294, lr = [0.0001] +[2024-06-10 04:06:19,924] - INFO: Epoch 3411/9999, Iter 170520: Loss = 0.009178776293992996, lr = [0.0001] +[2024-06-10 04:06:58,782] - INFO: Epoch 3411/9999, Iter 170540: Loss = 0.01909111626446247, lr = [0.0001] +[2024-06-10 04:07:40,497] - INFO: Epoch 3412/9999, Iter 170560: Loss = 0.0154360206797719, lr = [0.0001] +[2024-06-10 04:08:19,221] - INFO: Epoch 3412/9999, Iter 170580: Loss = 0.014370061457157135, lr = [0.0001] +[2024-06-10 04:08:58,831] - INFO: Epoch 3413/9999, Iter 170600: Loss = 0.0133406613022089, lr = [0.0001] +[2024-06-10 04:09:41,352] - INFO: Epoch 3413/9999, Iter 170620: Loss = 0.010357839055359364, lr = [0.0001] +[2024-06-10 04:10:20,466] - INFO: Epoch 3413/9999, Iter 170640: Loss = 0.013522881083190441, lr = [0.0001] +[2024-06-10 04:10:58,982] - INFO: Epoch 3414/9999, Iter 170660: Loss = 0.012502061203122139, lr = [0.0001] +[2024-06-10 04:11:40,327] - INFO: Epoch 3414/9999, Iter 170680: Loss = 0.013039860874414444, lr = [0.0001] +[2024-06-10 04:12:19,917] - INFO: Epoch 3415/9999, Iter 170700: Loss = 0.016510842368006706, lr = [0.0001] +[2024-06-10 04:13:00,811] - INFO: Epoch 3415/9999, Iter 170720: Loss = 0.011640004813671112, lr = [0.0001] +[2024-06-10 04:13:40,119] - INFO: Epoch 3415/9999, Iter 170740: Loss = 0.012782502919435501, lr = [0.0001] +[2024-06-10 04:13:55,002] - INFO: Evaluate at epoch 3415! +[2024-06-10 04:13:59,312] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 04:13:59,312] - INFO: Eval (with pad) PSNR (current): 38.161 (3415) SSIM (current): 0.9614 (3415) +[2024-06-10 04:13:59,312] - INFO: Evaluation over. +[2024-06-10 04:14:26,623] - INFO: Epoch 3416/9999, Iter 170760: Loss = 0.00931048858910799, lr = [0.0001] +[2024-06-10 04:15:06,770] - INFO: Epoch 3416/9999, Iter 170780: Loss = 0.012759895995259285, lr = [0.0001] +[2024-06-10 04:15:45,872] - INFO: Epoch 3417/9999, Iter 170800: Loss = 0.01574968732893467, lr = [0.0001] +[2024-06-10 04:16:27,376] - INFO: Epoch 3417/9999, Iter 170820: Loss = 0.022864844650030136, lr = [0.0001] +[2024-06-10 04:17:07,294] - INFO: Epoch 3417/9999, Iter 170840: Loss = 0.008497284725308418, lr = [0.0001] +[2024-06-10 04:17:48,460] - INFO: Epoch 3418/9999, Iter 170860: Loss = 0.011578968726098537, lr = [0.0001] +[2024-06-10 04:18:28,793] - INFO: Epoch 3418/9999, Iter 170880: Loss = 0.012633394449949265, lr = [0.0001] +[2024-06-10 04:19:08,648] - INFO: Epoch 3419/9999, Iter 170900: Loss = 0.015043764375150204, lr = [0.0001] +[2024-06-10 04:19:50,645] - INFO: Epoch 3419/9999, Iter 170920: Loss = 0.019806284457445145, lr = [0.0001] +[2024-06-10 04:20:30,204] - INFO: Epoch 3419/9999, Iter 170940: Loss = 0.015027741901576519, lr = [0.0001] +[2024-06-10 04:21:08,646] - INFO: Epoch 3420/9999, Iter 170960: Loss = 0.013246656395494938, lr = [0.0001] +[2024-06-10 04:21:48,717] - INFO: Epoch 3420/9999, Iter 170980: Loss = 0.015361062251031399, lr = [0.0001] +[2024-06-10 04:22:22,859] - INFO: Evaluate at epoch 3420! +[2024-06-10 04:22:27,112] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 04:22:27,112] - INFO: Eval (with pad) PSNR (current): 38.179 (3420) SSIM (current): 0.9615 (3420) +[2024-06-10 04:22:27,112] - INFO: Evaluation over. +[2024-06-10 04:22:32,278] - INFO: Epoch 3421/9999, Iter 171000: Loss = 0.013035588897764683, lr = [0.0001] +[2024-06-10 04:23:13,570] - INFO: Epoch 3421/9999, Iter 171020: Loss = 0.008674552664160728, lr = [0.0001] +[2024-06-10 04:23:53,667] - INFO: Epoch 3421/9999, Iter 171040: Loss = 0.01174605917185545, lr = [0.0001] +[2024-06-10 04:24:34,711] - INFO: Epoch 3422/9999, Iter 171060: Loss = 0.016650954261422157, lr = [0.0001] +[2024-06-10 04:25:15,016] - INFO: Epoch 3422/9999, Iter 171080: Loss = 0.01068410836160183, lr = [0.0001] +[2024-06-10 04:25:53,118] - INFO: Epoch 3423/9999, Iter 171100: Loss = 0.016557134687900543, lr = [0.0001] +[2024-06-10 04:26:34,142] - INFO: Epoch 3423/9999, Iter 171120: Loss = 0.013596268370747566, lr = [0.0001] +[2024-06-10 04:27:12,926] - INFO: Epoch 3423/9999, Iter 171140: Loss = 0.013378635980188847, lr = [0.0001] +[2024-06-10 04:27:51,961] - INFO: Epoch 3424/9999, Iter 171160: Loss = 0.01542058028280735, lr = [0.0001] +[2024-06-10 04:28:33,161] - INFO: Epoch 3424/9999, Iter 171180: Loss = 0.00882641226053238, lr = [0.0001] +[2024-06-10 04:29:12,357] - INFO: Epoch 3425/9999, Iter 171200: Loss = 0.010922836139798164, lr = [0.0001] +[2024-06-10 04:29:51,996] - INFO: Epoch 3425/9999, Iter 171220: Loss = 0.011235331185162067, lr = [0.0001] +[2024-06-10 04:30:31,857] - INFO: Epoch 3425/9999, Iter 171240: Loss = 0.016245819628238678, lr = [0.0001] +[2024-06-10 04:30:47,722] - INFO: Evaluate at epoch 3425! +[2024-06-10 04:30:51,951] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 04:30:51,952] - INFO: Eval (with pad) PSNR (current): 38.161 (3425) SSIM (current): 0.9613 (3425) +[2024-06-10 04:30:51,952] - INFO: Evaluation over. +[2024-06-10 04:31:18,585] - INFO: Epoch 3426/9999, Iter 171260: Loss = 0.010841202922165394, lr = [0.0001] +[2024-06-10 04:31:58,222] - INFO: Epoch 3426/9999, Iter 171280: Loss = 0.011528081260621548, lr = [0.0001] +[2024-06-10 04:32:37,660] - INFO: Epoch 3427/9999, Iter 171300: Loss = 0.008545114658772945, lr = [0.0001] +[2024-06-10 04:33:19,250] - INFO: Epoch 3427/9999, Iter 171320: Loss = 0.011823222041130066, lr = [0.0001] +[2024-06-10 04:33:59,024] - INFO: Epoch 3427/9999, Iter 171340: Loss = 0.0198704581707716, lr = [0.0001] +[2024-06-10 04:34:39,264] - INFO: Epoch 3428/9999, Iter 171360: Loss = 0.010223460383713245, lr = [0.0001] +[2024-06-10 04:35:19,236] - INFO: Epoch 3428/9999, Iter 171380: Loss = 0.011076126247644424, lr = [0.0001] +[2024-06-10 04:35:59,878] - INFO: Epoch 3429/9999, Iter 171400: Loss = 0.008926316164433956, lr = [0.0001] +[2024-06-10 04:36:40,864] - INFO: Epoch 3429/9999, Iter 171420: Loss = 0.01055959053337574, lr = [0.0001] +[2024-06-10 04:37:21,882] - INFO: Epoch 3429/9999, Iter 171440: Loss = 0.014947950839996338, lr = [0.0001] +[2024-06-10 04:38:00,109] - INFO: Epoch 3430/9999, Iter 171460: Loss = 0.008225184865295887, lr = [0.0001] +[2024-06-10 04:38:41,476] - INFO: Epoch 3430/9999, Iter 171480: Loss = 0.011366729624569416, lr = [0.0001] +[2024-06-10 04:39:16,218] - INFO: Evaluate at epoch 3430! +[2024-06-10 04:39:20,551] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 04:39:20,551] - INFO: Eval (with pad) PSNR (current): 38.148 (3430) SSIM (current): 0.9615 (3430) +[2024-06-10 04:39:20,551] - INFO: Evaluation over. +[2024-06-10 04:39:27,092] - INFO: Epoch 3431/9999, Iter 171500: Loss = 0.011273635551333427, lr = [0.0001] +[2024-06-10 04:40:03,868] - INFO: Epoch 3431/9999, Iter 171520: Loss = 0.008863480761647224, lr = [0.0001] +[2024-06-10 04:40:42,722] - INFO: Epoch 3431/9999, Iter 171540: Loss = 0.014598444104194641, lr = [0.0001] +[2024-06-10 04:41:23,167] - INFO: Epoch 3432/9999, Iter 171560: Loss = 0.00845502782613039, lr = [0.0001] +[2024-06-10 04:42:03,385] - INFO: Epoch 3432/9999, Iter 171580: Loss = 0.014481846243143082, lr = [0.0001] +[2024-06-10 04:42:44,553] - INFO: Epoch 3433/9999, Iter 171600: Loss = 0.011791631579399109, lr = [0.0001] +[2024-06-10 04:43:23,787] - INFO: Epoch 3433/9999, Iter 171620: Loss = 0.010889423079788685, lr = [0.0001] +[2024-06-10 04:44:03,026] - INFO: Epoch 3433/9999, Iter 171640: Loss = 0.013139883987605572, lr = [0.0001] +[2024-06-10 04:44:43,885] - INFO: Epoch 3434/9999, Iter 171660: Loss = 0.015009799972176552, lr = [0.0001] +[2024-06-10 04:45:24,544] - INFO: Epoch 3434/9999, Iter 171680: Loss = 0.009691065177321434, lr = [0.0001] +[2024-06-10 04:46:03,777] - INFO: Epoch 3435/9999, Iter 171700: Loss = 0.01342028845101595, lr = [0.0001] +[2024-06-10 04:46:43,482] - INFO: Epoch 3435/9999, Iter 171720: Loss = 0.009638851508498192, lr = [0.0001] +[2024-06-10 04:47:21,877] - INFO: Epoch 3435/9999, Iter 171740: Loss = 0.010054408572614193, lr = [0.0001] +[2024-06-10 04:47:37,807] - INFO: Evaluate at epoch 3435! +[2024-06-10 04:47:42,131] - INFO: Eval (with pad) PSNR (max): 38.198 (3230) SSIM (max): 0.9615 (2850) +[2024-06-10 04:47:42,131] - INFO: Eval (with pad) PSNR (current): 38.152 (3435) SSIM (current): 0.9614 (3435) +[2024-06-10 04:47:42,131] - INFO: Evaluation over. +[2024-06-10 04:48:07,162] - INFO: Epoch 3436/9999, Iter 171760: Loss = 0.009840940125286579, lr = [0.0001] +[2024-06-10 04:48:47,061] - INFO: Epoch 3436/9999, Iter 171780: Loss = 0.01344899833202362, lr = [0.0001] +[2024-06-10 04:49:26,946] - INFO: Epoch 3437/9999, Iter 171800: Loss = 0.01736205630004406, lr = [0.0001] +[2024-06-10 04:50:08,147] - INFO: Epoch 3437/9999, Iter 171820: Loss = 0.013051575981080532, lr = [0.0001] +[2024-06-10 04:50:48,718] - INFO: Epoch 3437/9999, Iter 171840: Loss = 0.01547679677605629, lr = [0.0001] +[2024-06-10 04:51:30,104] - INFO: Epoch 3438/9999, Iter 171860: Loss = 0.01119097787886858, lr = [0.0001] +[2024-06-10 04:52:11,541] - INFO: Epoch 3438/9999, Iter 171880: Loss = 0.011332445777952671, lr = [0.0001] +[2024-06-10 04:52:51,177] - INFO: Epoch 3439/9999, Iter 171900: Loss = 0.015925416722893715, lr = [0.0001] +[2024-06-10 04:53:33,111] - INFO: Epoch 3439/9999, Iter 171920: Loss = 0.008113414980471134, lr = [0.0001] +[2024-06-10 04:54:11,668] - INFO: Epoch 3439/9999, Iter 171940: Loss = 0.0125034274533391, lr = [0.0001] +[2024-06-10 04:54:52,822] - INFO: Epoch 3440/9999, Iter 171960: Loss = 0.00992802157998085, lr = [0.0001] +[2024-06-10 04:55:33,178] - INFO: Epoch 3440/9999, Iter 171980: Loss = 0.00906181801110506, lr = [0.0001] +[2024-06-10 04:56:08,222] - INFO: Evaluate at epoch 3440! +[2024-06-10 04:56:14,258] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 04:56:14,259] - INFO: Eval (with pad) PSNR (current): 38.203 (3440) SSIM (current): 0.9615 (3440) +[2024-06-10 04:56:14,259] - INFO: Evaluation over. +[2024-06-10 04:56:19,529] - INFO: Epoch 3441/9999, Iter 172000: Loss = 0.012709969654679298, lr = [0.0001] +[2024-06-10 04:57:00,604] - INFO: Epoch 3441/9999, Iter 172020: Loss = 0.008321957662701607, lr = [0.0001] +[2024-06-10 04:57:39,570] - INFO: Epoch 3441/9999, Iter 172040: Loss = 0.012144980952143669, lr = [0.0001] +[2024-06-10 04:58:20,707] - INFO: Epoch 3442/9999, Iter 172060: Loss = 0.014754491858184338, lr = [0.0001] +[2024-06-10 04:59:01,186] - INFO: Epoch 3442/9999, Iter 172080: Loss = 0.011437741108238697, lr = [0.0001] +[2024-06-10 04:59:41,160] - INFO: Epoch 3443/9999, Iter 172100: Loss = 0.015542084351181984, lr = [0.0001] +[2024-06-10 05:00:22,660] - INFO: Epoch 3443/9999, Iter 172120: Loss = 0.021402474492788315, lr = [0.0001] +[2024-06-10 05:01:02,097] - INFO: Epoch 3443/9999, Iter 172140: Loss = 0.017265627160668373, lr = [0.0001] +[2024-06-10 05:01:41,552] - INFO: Epoch 3444/9999, Iter 172160: Loss = 0.013044450432062149, lr = [0.0001] +[2024-06-10 05:02:21,481] - INFO: Epoch 3444/9999, Iter 172180: Loss = 0.016872068867087364, lr = [0.0001] +[2024-06-10 05:03:02,124] - INFO: Epoch 3445/9999, Iter 172200: Loss = 0.012333191931247711, lr = [0.0001] +[2024-06-10 05:03:43,150] - INFO: Epoch 3445/9999, Iter 172220: Loss = 0.00933211762458086, lr = [0.0001] +[2024-06-10 05:04:22,738] - INFO: Epoch 3445/9999, Iter 172240: Loss = 0.015538428910076618, lr = [0.0001] +[2024-06-10 05:04:38,118] - INFO: Evaluate at epoch 3445! +[2024-06-10 05:04:42,801] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 05:04:42,802] - INFO: Eval (with pad) PSNR (current): 38.175 (3445) SSIM (current): 0.9614 (3445) +[2024-06-10 05:04:42,802] - INFO: Evaluation over. +[2024-06-10 05:05:09,136] - INFO: Epoch 3446/9999, Iter 172260: Loss = 0.0126444511115551, lr = [0.0001] +[2024-06-10 05:05:49,548] - INFO: Epoch 3446/9999, Iter 172280: Loss = 0.012173980474472046, lr = [0.0001] +[2024-06-10 05:06:28,014] - INFO: Epoch 3447/9999, Iter 172300: Loss = 0.0114706726744771, lr = [0.0001] +[2024-06-10 05:07:09,108] - INFO: Epoch 3447/9999, Iter 172320: Loss = 0.015217924490571022, lr = [0.0001] +[2024-06-10 05:07:48,611] - INFO: Epoch 3447/9999, Iter 172340: Loss = 0.012353135272860527, lr = [0.0001] +[2024-06-10 05:08:27,021] - INFO: Epoch 3448/9999, Iter 172360: Loss = 0.013027719222009182, lr = [0.0001] +[2024-06-10 05:09:08,536] - INFO: Epoch 3448/9999, Iter 172380: Loss = 0.015577029436826706, lr = [0.0001] +[2024-06-10 05:09:47,565] - INFO: Epoch 3449/9999, Iter 172400: Loss = 0.013613848015666008, lr = [0.0001] +[2024-06-10 05:10:28,156] - INFO: Epoch 3449/9999, Iter 172420: Loss = 0.008693307638168335, lr = [0.0001] +[2024-06-10 05:11:08,037] - INFO: Epoch 3449/9999, Iter 172440: Loss = 0.011000524275004864, lr = [0.0001] +[2024-06-10 05:11:49,290] - INFO: Epoch 3450/9999, Iter 172460: Loss = 0.009015116840600967, lr = [0.0001] +[2024-06-10 05:12:28,581] - INFO: Epoch 3450/9999, Iter 172480: Loss = 0.013870292343199253, lr = [0.0001] +[2024-06-10 05:13:04,528] - INFO: Evaluate at epoch 3450! +[2024-06-10 05:13:09,187] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 05:13:09,188] - INFO: Eval (with pad) PSNR (current): 38.122 (3450) SSIM (current): 0.9613 (3450) +[2024-06-10 05:13:09,188] - INFO: Evaluation over. +[2024-06-10 05:13:13,971] - INFO: Epoch 3451/9999, Iter 172500: Loss = 0.012201119214296341, lr = [0.0001] +[2024-06-10 05:13:53,873] - INFO: Epoch 3451/9999, Iter 172520: Loss = 0.005385410040616989, lr = [0.0001] +[2024-06-10 05:14:33,536] - INFO: Epoch 3451/9999, Iter 172540: Loss = 0.011682754382491112, lr = [0.0001] +[2024-06-10 05:15:14,024] - INFO: Epoch 3452/9999, Iter 172560: Loss = 0.011844592168927193, lr = [0.0001] +[2024-06-10 05:15:53,755] - INFO: Epoch 3452/9999, Iter 172580: Loss = 0.01071214210242033, lr = [0.0001] +[2024-06-10 05:16:33,900] - INFO: Epoch 3453/9999, Iter 172600: Loss = 0.014176607131958008, lr = [0.0001] +[2024-06-10 05:17:13,302] - INFO: Epoch 3453/9999, Iter 172620: Loss = 0.011259598657488823, lr = [0.0001] +[2024-06-10 05:17:52,866] - INFO: Epoch 3453/9999, Iter 172640: Loss = 0.012897908687591553, lr = [0.0001] +[2024-06-10 05:18:32,117] - INFO: Epoch 3454/9999, Iter 172660: Loss = 0.014715733006596565, lr = [0.0001] +[2024-06-10 05:19:12,134] - INFO: Epoch 3454/9999, Iter 172680: Loss = 0.007679465226829052, lr = [0.0001] +[2024-06-10 05:19:51,572] - INFO: Epoch 3455/9999, Iter 172700: Loss = 0.013317589648067951, lr = [0.0001] +[2024-06-10 05:20:31,760] - INFO: Epoch 3455/9999, Iter 172720: Loss = 0.011355580762028694, lr = [0.0001] +[2024-06-10 05:21:10,824] - INFO: Epoch 3455/9999, Iter 172740: Loss = 0.010434219613671303, lr = [0.0001] +[2024-06-10 05:21:26,705] - INFO: Evaluate at epoch 3455! +[2024-06-10 05:21:31,026] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 05:21:31,026] - INFO: Eval (with pad) PSNR (current): 38.172 (3455) SSIM (current): 0.9614 (3455) +[2024-06-10 05:21:31,026] - INFO: Evaluation over. +[2024-06-10 05:21:57,860] - INFO: Epoch 3456/9999, Iter 172760: Loss = 0.017047306522727013, lr = [0.0001] +[2024-06-10 05:22:37,140] - INFO: Epoch 3456/9999, Iter 172780: Loss = 0.012452611699700356, lr = [0.0001] +[2024-06-10 05:23:15,913] - INFO: Epoch 3457/9999, Iter 172800: Loss = 0.009393228217959404, lr = [0.0001] +[2024-06-10 05:23:56,791] - INFO: Epoch 3457/9999, Iter 172820: Loss = 0.010977397672832012, lr = [0.0001] +[2024-06-10 05:24:36,887] - INFO: Epoch 3457/9999, Iter 172840: Loss = 0.010729813948273659, lr = [0.0001] +[2024-06-10 05:25:18,311] - INFO: Epoch 3458/9999, Iter 172860: Loss = 0.01229027658700943, lr = [0.0001] +[2024-06-10 05:25:56,995] - INFO: Epoch 3458/9999, Iter 172880: Loss = 0.007954473607242107, lr = [0.0001] +[2024-06-10 05:26:37,483] - INFO: Epoch 3459/9999, Iter 172900: Loss = 0.02413705177605152, lr = [0.0001] +[2024-06-10 05:27:19,508] - INFO: Epoch 3459/9999, Iter 172920: Loss = 0.009526347741484642, lr = [0.0001] +[2024-06-10 05:27:58,574] - INFO: Epoch 3459/9999, Iter 172940: Loss = 0.014577359892427921, lr = [0.0001] +[2024-06-10 05:28:39,655] - INFO: Epoch 3460/9999, Iter 172960: Loss = 0.011065742932260036, lr = [0.0001] +[2024-06-10 05:29:19,419] - INFO: Epoch 3460/9999, Iter 172980: Loss = 0.010756611824035645, lr = [0.0001] +[2024-06-10 05:29:55,071] - INFO: Evaluate at epoch 3460! +[2024-06-10 05:29:59,405] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 05:29:59,405] - INFO: Eval (with pad) PSNR (current): 38.031 (3460) SSIM (current): 0.9613 (3460) +[2024-06-10 05:29:59,405] - INFO: Evaluation over. +[2024-06-10 05:30:04,819] - INFO: Epoch 3461/9999, Iter 173000: Loss = 0.01161594782024622, lr = [0.0001] +[2024-06-10 05:30:44,797] - INFO: Epoch 3461/9999, Iter 173020: Loss = 0.009255598299205303, lr = [0.0001] +[2024-06-10 05:31:24,448] - INFO: Epoch 3461/9999, Iter 173040: Loss = 0.015844425186514854, lr = [0.0001] +[2024-06-10 05:32:05,763] - INFO: Epoch 3462/9999, Iter 173060: Loss = 0.011908815242350101, lr = [0.0001] +[2024-06-10 05:32:45,248] - INFO: Epoch 3462/9999, Iter 173080: Loss = 0.008466522209346294, lr = [0.0001] +[2024-06-10 05:33:25,732] - INFO: Epoch 3463/9999, Iter 173100: Loss = 0.007827667519450188, lr = [0.0001] +[2024-06-10 05:34:06,669] - INFO: Epoch 3463/9999, Iter 173120: Loss = 0.008727182634174824, lr = [0.0001] +[2024-06-10 05:34:46,988] - INFO: Epoch 3463/9999, Iter 173140: Loss = 0.007614473346620798, lr = [0.0001] +[2024-06-10 05:35:26,779] - INFO: Epoch 3464/9999, Iter 173160: Loss = 0.013483197428286076, lr = [0.0001] +[2024-06-10 05:36:07,920] - INFO: Epoch 3464/9999, Iter 173180: Loss = 0.012506065890192986, lr = [0.0001] +[2024-06-10 05:36:48,617] - INFO: Epoch 3465/9999, Iter 173200: Loss = 0.012334799394011497, lr = [0.0001] +[2024-06-10 05:37:29,296] - INFO: Epoch 3465/9999, Iter 173220: Loss = 0.01097568217664957, lr = [0.0001] +[2024-06-10 05:38:07,013] - INFO: Epoch 3465/9999, Iter 173240: Loss = 0.014950582757592201, lr = [0.0001] +[2024-06-10 05:38:22,789] - INFO: Evaluate at epoch 3465! +[2024-06-10 05:38:27,138] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 05:38:27,138] - INFO: Eval (with pad) PSNR (current): 38.181 (3465) SSIM (current): 0.9615 (3465) +[2024-06-10 05:38:27,138] - INFO: Evaluation over. +[2024-06-10 05:38:55,055] - INFO: Epoch 3466/9999, Iter 173260: Loss = 0.0083311153575778, lr = [0.0001] +[2024-06-10 05:39:34,341] - INFO: Epoch 3466/9999, Iter 173280: Loss = 0.009935446083545685, lr = [0.0001] +[2024-06-10 05:40:13,810] - INFO: Epoch 3467/9999, Iter 173300: Loss = 0.012784686870872974, lr = [0.0001] +[2024-06-10 05:40:55,170] - INFO: Epoch 3467/9999, Iter 173320: Loss = 0.009647508151829243, lr = [0.0001] +[2024-06-10 05:41:34,956] - INFO: Epoch 3467/9999, Iter 173340: Loss = 0.010597774758934975, lr = [0.0001] +[2024-06-10 05:42:16,060] - INFO: Epoch 3468/9999, Iter 173360: Loss = 0.018774624913930893, lr = [0.0001] +[2024-06-10 05:42:57,139] - INFO: Epoch 3468/9999, Iter 173380: Loss = 0.014974124729633331, lr = [0.0001] +[2024-06-10 05:43:36,588] - INFO: Epoch 3469/9999, Iter 173400: Loss = 0.012321682646870613, lr = [0.0001] +[2024-06-10 05:44:17,987] - INFO: Epoch 3469/9999, Iter 173420: Loss = 0.013886229135096073, lr = [0.0001] +[2024-06-10 05:44:58,117] - INFO: Epoch 3469/9999, Iter 173440: Loss = 0.007192610297352076, lr = [0.0001] +[2024-06-10 05:45:39,300] - INFO: Epoch 3470/9999, Iter 173460: Loss = 0.014986751601099968, lr = [0.0001] +[2024-06-10 05:46:19,305] - INFO: Epoch 3470/9999, Iter 173480: Loss = 0.012706134468317032, lr = [0.0001] +[2024-06-10 05:46:53,898] - INFO: Evaluate at epoch 3470! +[2024-06-10 05:46:58,186] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 05:46:58,186] - INFO: Eval (with pad) PSNR (current): 38.169 (3470) SSIM (current): 0.9614 (3470) +[2024-06-10 05:46:58,186] - INFO: Evaluation over. +[2024-06-10 05:47:03,708] - INFO: Epoch 3471/9999, Iter 173500: Loss = 0.011830943636596203, lr = [0.0001] +[2024-06-10 05:47:44,177] - INFO: Epoch 3471/9999, Iter 173520: Loss = 0.009717297740280628, lr = [0.0001] +[2024-06-10 05:48:23,747] - INFO: Epoch 3471/9999, Iter 173540: Loss = 0.007776972837746143, lr = [0.0001] +[2024-06-10 05:49:05,126] - INFO: Epoch 3472/9999, Iter 173560: Loss = 0.010022405534982681, lr = [0.0001] +[2024-06-10 05:49:44,443] - INFO: Epoch 3472/9999, Iter 173580: Loss = 0.016020115464925766, lr = [0.0001] +[2024-06-10 05:50:25,293] - INFO: Epoch 3473/9999, Iter 173600: Loss = 0.014680419117212296, lr = [0.0001] +[2024-06-10 05:51:05,564] - INFO: Epoch 3473/9999, Iter 173620: Loss = 0.015435123816132545, lr = [0.0001] +[2024-06-10 05:51:45,787] - INFO: Epoch 3473/9999, Iter 173640: Loss = 0.013531411066651344, lr = [0.0001] +[2024-06-10 05:52:27,376] - INFO: Epoch 3474/9999, Iter 173660: Loss = 0.014374084770679474, lr = [0.0001] +[2024-06-10 05:53:06,639] - INFO: Epoch 3474/9999, Iter 173680: Loss = 0.010934884659945965, lr = [0.0001] +[2024-06-10 05:53:45,752] - INFO: Epoch 3475/9999, Iter 173700: Loss = 0.009370808489620686, lr = [0.0001] +[2024-06-10 05:54:26,985] - INFO: Epoch 3475/9999, Iter 173720: Loss = 0.014556216076016426, lr = [0.0001] +[2024-06-10 05:55:05,908] - INFO: Epoch 3475/9999, Iter 173740: Loss = 0.009057514369487762, lr = [0.0001] +[2024-06-10 05:55:20,814] - INFO: Evaluate at epoch 3475! +[2024-06-10 05:55:25,234] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 05:55:25,235] - INFO: Eval (with pad) PSNR (current): 38.196 (3475) SSIM (current): 0.9615 (3475) +[2024-06-10 05:55:25,235] - INFO: Evaluation over. +[2024-06-10 05:55:52,114] - INFO: Epoch 3476/9999, Iter 173760: Loss = 0.014163840562105179, lr = [0.0001] +[2024-06-10 05:56:32,250] - INFO: Epoch 3476/9999, Iter 173780: Loss = 0.013945517130196095, lr = [0.0001] +[2024-06-10 05:57:11,496] - INFO: Epoch 3477/9999, Iter 173800: Loss = 0.013580290600657463, lr = [0.0001] +[2024-06-10 05:57:51,986] - INFO: Epoch 3477/9999, Iter 173820: Loss = 0.01301882229745388, lr = [0.0001] +[2024-06-10 05:58:30,585] - INFO: Epoch 3477/9999, Iter 173840: Loss = 0.013350468128919601, lr = [0.0001] +[2024-06-10 05:59:11,450] - INFO: Epoch 3478/9999, Iter 173860: Loss = 0.009151888079941273, lr = [0.0001] +[2024-06-10 05:59:50,718] - INFO: Epoch 3478/9999, Iter 173880: Loss = 0.014331845566630363, lr = [0.0001] +[2024-06-10 06:00:28,798] - INFO: Epoch 3479/9999, Iter 173900: Loss = 0.014755557291209698, lr = [0.0001] +[2024-06-10 06:01:10,566] - INFO: Epoch 3479/9999, Iter 173920: Loss = 0.01934027299284935, lr = [0.0001] +[2024-06-10 06:01:50,441] - INFO: Epoch 3479/9999, Iter 173940: Loss = 0.010255721397697926, lr = [0.0001] +[2024-06-10 06:02:30,489] - INFO: Epoch 3480/9999, Iter 173960: Loss = 0.011817985214293003, lr = [0.0001] +[2024-06-10 06:03:11,355] - INFO: Epoch 3480/9999, Iter 173980: Loss = 0.011692319065332413, lr = [0.0001] +[2024-06-10 06:03:46,449] - INFO: Evaluate at epoch 3480! +[2024-06-10 06:03:50,788] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 06:03:50,788] - INFO: Eval (with pad) PSNR (current): 38.178 (3480) SSIM (current): 0.9614 (3480) +[2024-06-10 06:03:50,788] - INFO: Evaluation over. +[2024-06-10 06:03:55,657] - INFO: Epoch 3481/9999, Iter 174000: Loss = 0.011840860359370708, lr = [0.0001] +[2024-06-10 06:04:35,092] - INFO: Epoch 3481/9999, Iter 174020: Loss = 0.010351561941206455, lr = [0.0001] +[2024-06-10 06:05:15,405] - INFO: Epoch 3481/9999, Iter 174040: Loss = 0.009236992336809635, lr = [0.0001] +[2024-06-10 06:05:57,121] - INFO: Epoch 3482/9999, Iter 174060: Loss = 0.014470958150923252, lr = [0.0001] +[2024-06-10 06:06:36,935] - INFO: Epoch 3482/9999, Iter 174080: Loss = 0.010802054777741432, lr = [0.0001] +[2024-06-10 06:07:16,084] - INFO: Epoch 3483/9999, Iter 174100: Loss = 0.014701960608363152, lr = [0.0001] +[2024-06-10 06:07:56,183] - INFO: Epoch 3483/9999, Iter 174120: Loss = 0.011819557286798954, lr = [0.0001] +[2024-06-10 06:08:36,102] - INFO: Epoch 3483/9999, Iter 174140: Loss = 0.012722998857498169, lr = [0.0001] +[2024-06-10 06:09:16,530] - INFO: Epoch 3484/9999, Iter 174160: Loss = 0.010033517144620419, lr = [0.0001] +[2024-06-10 06:09:56,374] - INFO: Epoch 3484/9999, Iter 174180: Loss = 0.012636340223252773, lr = [0.0001] +[2024-06-10 06:10:36,591] - INFO: Epoch 3485/9999, Iter 174200: Loss = 0.011413843370974064, lr = [0.0001] +[2024-06-10 06:11:18,398] - INFO: Epoch 3485/9999, Iter 174220: Loss = 0.01285010576248169, lr = [0.0001] +[2024-06-10 06:11:57,104] - INFO: Epoch 3485/9999, Iter 174240: Loss = 0.012415684759616852, lr = [0.0001] +[2024-06-10 06:12:12,447] - INFO: Evaluate at epoch 3485! +[2024-06-10 06:12:16,714] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 06:12:16,714] - INFO: Eval (with pad) PSNR (current): 38.174 (3485) SSIM (current): 0.9614 (3485) +[2024-06-10 06:12:16,714] - INFO: Evaluation over. +[2024-06-10 06:12:42,725] - INFO: Epoch 3486/9999, Iter 174260: Loss = 0.009393499232828617, lr = [0.0001] +[2024-06-10 06:13:21,977] - INFO: Epoch 3486/9999, Iter 174280: Loss = 0.015065901912748814, lr = [0.0001] +[2024-06-10 06:14:01,503] - INFO: Epoch 3487/9999, Iter 174300: Loss = 0.011236474849283695, lr = [0.0001] +[2024-06-10 06:14:42,703] - INFO: Epoch 3487/9999, Iter 174320: Loss = 0.015736212953925133, lr = [0.0001] +[2024-06-10 06:15:20,940] - INFO: Epoch 3487/9999, Iter 174340: Loss = 0.00957679096609354, lr = [0.0001] +[2024-06-10 06:16:01,311] - INFO: Epoch 3488/9999, Iter 174360: Loss = 0.016773877665400505, lr = [0.0001] +[2024-06-10 06:16:41,400] - INFO: Epoch 3488/9999, Iter 174380: Loss = 0.013970555737614632, lr = [0.0001] +[2024-06-10 06:17:20,237] - INFO: Epoch 3489/9999, Iter 174400: Loss = 0.012794051319360733, lr = [0.0001] +[2024-06-10 06:18:01,489] - INFO: Epoch 3489/9999, Iter 174420: Loss = 0.012351768091320992, lr = [0.0001] +[2024-06-10 06:18:41,595] - INFO: Epoch 3489/9999, Iter 174440: Loss = 0.013209420256316662, lr = [0.0001] +[2024-06-10 06:19:21,011] - INFO: Epoch 3490/9999, Iter 174460: Loss = 0.011495741084218025, lr = [0.0001] +[2024-06-10 06:20:01,958] - INFO: Epoch 3490/9999, Iter 174480: Loss = 0.019669529050588608, lr = [0.0001] +[2024-06-10 06:20:37,412] - INFO: Evaluate at epoch 3490! +[2024-06-10 06:20:41,740] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 06:20:41,740] - INFO: Eval (with pad) PSNR (current): 38.176 (3490) SSIM (current): 0.9615 (3490) +[2024-06-10 06:20:41,740] - INFO: Evaluation over. +[2024-06-10 06:20:46,990] - INFO: Epoch 3491/9999, Iter 174500: Loss = 0.014645933173596859, lr = [0.0001] +[2024-06-10 06:21:28,780] - INFO: Epoch 3491/9999, Iter 174520: Loss = 0.00995525810867548, lr = [0.0001] +[2024-06-10 06:22:08,660] - INFO: Epoch 3491/9999, Iter 174540: Loss = 0.010258070193231106, lr = [0.0001] +[2024-06-10 06:22:49,331] - INFO: Epoch 3492/9999, Iter 174560: Loss = 0.007848759181797504, lr = [0.0001] +[2024-06-10 06:23:29,074] - INFO: Epoch 3492/9999, Iter 174580: Loss = 0.011643747799098492, lr = [0.0001] +[2024-06-10 06:24:08,900] - INFO: Epoch 3493/9999, Iter 174600: Loss = 0.01617426797747612, lr = [0.0001] +[2024-06-10 06:24:48,950] - INFO: Epoch 3493/9999, Iter 174620: Loss = 0.011892300099134445, lr = [0.0001] +[2024-06-10 06:25:29,128] - INFO: Epoch 3493/9999, Iter 174640: Loss = 0.010344496928155422, lr = [0.0001] +[2024-06-10 06:26:10,310] - INFO: Epoch 3494/9999, Iter 174660: Loss = 0.01093912124633789, lr = [0.0001] +[2024-06-10 06:26:50,120] - INFO: Epoch 3494/9999, Iter 174680: Loss = 0.013513397425413132, lr = [0.0001] +[2024-06-10 06:27:29,179] - INFO: Epoch 3495/9999, Iter 174700: Loss = 0.01564955897629261, lr = [0.0001] +[2024-06-10 06:28:09,455] - INFO: Epoch 3495/9999, Iter 174720: Loss = 0.010493896901607513, lr = [0.0001] +[2024-06-10 06:28:50,916] - INFO: Epoch 3495/9999, Iter 174740: Loss = 0.012780370190739632, lr = [0.0001] +[2024-06-10 06:29:06,317] - INFO: Evaluate at epoch 3495! +[2024-06-10 06:29:10,786] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 06:29:10,787] - INFO: Eval (with pad) PSNR (current): 38.179 (3495) SSIM (current): 0.9614 (3495) +[2024-06-10 06:29:10,787] - INFO: Evaluation over. +[2024-06-10 06:29:37,822] - INFO: Epoch 3496/9999, Iter 174760: Loss = 0.013138110749423504, lr = [0.0001] +[2024-06-10 06:30:17,689] - INFO: Epoch 3496/9999, Iter 174780: Loss = 0.012229358777403831, lr = [0.0001] +[2024-06-10 06:30:56,463] - INFO: Epoch 3497/9999, Iter 174800: Loss = 0.014555022120475769, lr = [0.0001] +[2024-06-10 06:31:37,054] - INFO: Epoch 3497/9999, Iter 174820: Loss = 0.013713829219341278, lr = [0.0001] +[2024-06-10 06:32:17,541] - INFO: Epoch 3497/9999, Iter 174840: Loss = 0.014661328867077827, lr = [0.0001] +[2024-06-10 06:32:57,156] - INFO: Epoch 3498/9999, Iter 174860: Loss = 0.015528783202171326, lr = [0.0001] +[2024-06-10 06:33:37,826] - INFO: Epoch 3498/9999, Iter 174880: Loss = 0.008232887834310532, lr = [0.0001] +[2024-06-10 06:34:17,765] - INFO: Epoch 3499/9999, Iter 174900: Loss = 0.011677426286041737, lr = [0.0001] +[2024-06-10 06:34:58,088] - INFO: Epoch 3499/9999, Iter 174920: Loss = 0.013127598911523819, lr = [0.0001] +[2024-06-10 06:35:35,825] - INFO: Epoch 3499/9999, Iter 174940: Loss = 0.010409598238766193, lr = [0.0001] +[2024-06-10 06:36:16,439] - INFO: Epoch 3500/9999, Iter 174960: Loss = 0.014408259652554989, lr = [0.0001] +[2024-06-10 06:36:56,409] - INFO: Epoch 3500/9999, Iter 174980: Loss = 0.011054000817239285, lr = [0.0001] +[2024-06-10 06:37:31,928] - INFO: Evaluate at epoch 3500! +[2024-06-10 06:37:36,191] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 06:37:36,192] - INFO: Eval (with pad) PSNR (current): 38.173 (3500) SSIM (current): 0.9614 (3500) +[2024-06-10 06:37:36,192] - INFO: Evaluation over. +[2024-06-10 06:37:41,709] - INFO: Epoch 3501/9999, Iter 175000: Loss = 0.011036330834031105, lr = [0.0001] +[2024-06-10 06:38:23,834] - INFO: Epoch 3501/9999, Iter 175020: Loss = 0.010385031811892986, lr = [0.0001] +[2024-06-10 06:39:03,959] - INFO: Epoch 3501/9999, Iter 175040: Loss = 0.012199446558952332, lr = [0.0001] +[2024-06-10 06:39:43,142] - INFO: Epoch 3502/9999, Iter 175060: Loss = 0.010267602279782295, lr = [0.0001] +[2024-06-10 06:40:22,696] - INFO: Epoch 3502/9999, Iter 175080: Loss = 0.01371760480105877, lr = [0.0001] +[2024-06-10 06:41:01,819] - INFO: Epoch 3503/9999, Iter 175100: Loss = 0.013856749050319195, lr = [0.0001] +[2024-06-10 06:41:43,500] - INFO: Epoch 3503/9999, Iter 175120: Loss = 0.011755026876926422, lr = [0.0001] +[2024-06-10 06:42:22,106] - INFO: Epoch 3503/9999, Iter 175140: Loss = 0.012312844395637512, lr = [0.0001] +[2024-06-10 06:43:03,277] - INFO: Epoch 3504/9999, Iter 175160: Loss = 0.011825252324342728, lr = [0.0001] +[2024-06-10 06:43:43,078] - INFO: Epoch 3504/9999, Iter 175180: Loss = 0.0157150998711586, lr = [0.0001] +[2024-06-10 06:44:22,505] - INFO: Epoch 3505/9999, Iter 175200: Loss = 0.013710258528590202, lr = [0.0001] +[2024-06-10 06:45:04,499] - INFO: Epoch 3505/9999, Iter 175220: Loss = 0.01744629070162773, lr = [0.0001] +[2024-06-10 06:45:44,027] - INFO: Epoch 3505/9999, Iter 175240: Loss = 0.010133326053619385, lr = [0.0001] +[2024-06-10 06:46:00,786] - INFO: Evaluate at epoch 3505! +[2024-06-10 06:46:05,084] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 06:46:05,085] - INFO: Eval (with pad) PSNR (current): 38.176 (3505) SSIM (current): 0.9614 (3505) +[2024-06-10 06:46:05,085] - INFO: Evaluation over. +[2024-06-10 06:46:29,928] - INFO: Epoch 3506/9999, Iter 175260: Loss = 0.012672947719693184, lr = [0.0001] +[2024-06-10 06:47:10,432] - INFO: Epoch 3506/9999, Iter 175280: Loss = 0.01628362014889717, lr = [0.0001] +[2024-06-10 06:47:50,466] - INFO: Epoch 3507/9999, Iter 175300: Loss = 0.0142383286729455, lr = [0.0001] +[2024-06-10 06:48:30,730] - INFO: Epoch 3507/9999, Iter 175320: Loss = 0.014107713475823402, lr = [0.0001] +[2024-06-10 06:49:10,353] - INFO: Epoch 3507/9999, Iter 175340: Loss = 0.013094942085444927, lr = [0.0001] +[2024-06-10 06:49:51,039] - INFO: Epoch 3508/9999, Iter 175360: Loss = 0.00996482279151678, lr = [0.0001] +[2024-06-10 06:50:32,168] - INFO: Epoch 3508/9999, Iter 175380: Loss = 0.013117757625877857, lr = [0.0001] +[2024-06-10 06:51:11,241] - INFO: Epoch 3509/9999, Iter 175400: Loss = 0.015448122285306454, lr = [0.0001] +[2024-06-10 06:51:51,114] - INFO: Epoch 3509/9999, Iter 175420: Loss = 0.008069622330367565, lr = [0.0001] +[2024-06-10 06:52:31,555] - INFO: Epoch 3509/9999, Iter 175440: Loss = 0.016625581309199333, lr = [0.0001] +[2024-06-10 06:53:12,176] - INFO: Epoch 3510/9999, Iter 175460: Loss = 0.012035257183015347, lr = [0.0001] +[2024-06-10 06:53:52,481] - INFO: Epoch 3510/9999, Iter 175480: Loss = 0.01507995743304491, lr = [0.0001] +[2024-06-10 06:54:27,339] - INFO: Evaluate at epoch 3510! +[2024-06-10 06:54:31,679] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 06:54:31,679] - INFO: Eval (with pad) PSNR (current): 38.180 (3510) SSIM (current): 0.9614 (3510) +[2024-06-10 06:54:31,679] - INFO: Evaluation over. +[2024-06-10 06:54:37,075] - INFO: Epoch 3511/9999, Iter 175500: Loss = 0.01096977200359106, lr = [0.0001] +[2024-06-10 06:55:18,349] - INFO: Epoch 3511/9999, Iter 175520: Loss = 0.012095842510461807, lr = [0.0001] +[2024-06-10 06:55:56,595] - INFO: Epoch 3511/9999, Iter 175540: Loss = 0.006387789733707905, lr = [0.0001] +[2024-06-10 06:56:38,164] - INFO: Epoch 3512/9999, Iter 175560: Loss = 0.011022757738828659, lr = [0.0001] +[2024-06-10 06:57:18,425] - INFO: Epoch 3512/9999, Iter 175580: Loss = 0.014651728793978691, lr = [0.0001] +[2024-06-10 06:57:57,522] - INFO: Epoch 3513/9999, Iter 175600: Loss = 0.013682988472282887, lr = [0.0001] +[2024-06-10 06:58:38,081] - INFO: Epoch 3513/9999, Iter 175620: Loss = 0.013332769274711609, lr = [0.0001] +[2024-06-10 06:59:19,533] - INFO: Epoch 3513/9999, Iter 175640: Loss = 0.014319512993097305, lr = [0.0001] +[2024-06-10 07:00:01,120] - INFO: Epoch 3514/9999, Iter 175660: Loss = 0.008053906261920929, lr = [0.0001] +[2024-06-10 07:00:38,960] - INFO: Epoch 3514/9999, Iter 175680: Loss = 0.014269023202359676, lr = [0.0001] +[2024-06-10 07:01:19,556] - INFO: Epoch 3515/9999, Iter 175700: Loss = 0.009887381456792355, lr = [0.0001] +[2024-06-10 07:02:01,267] - INFO: Epoch 3515/9999, Iter 175720: Loss = 0.011545004323124886, lr = [0.0001] +[2024-06-10 07:02:42,036] - INFO: Epoch 3515/9999, Iter 175740: Loss = 0.009396268054842949, lr = [0.0001] +[2024-06-10 07:02:57,711] - INFO: Evaluate at epoch 3515! +[2024-06-10 07:03:01,893] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 07:03:01,893] - INFO: Eval (with pad) PSNR (current): 38.144 (3515) SSIM (current): 0.9615 (3515) +[2024-06-10 07:03:01,893] - INFO: Evaluation over. +[2024-06-10 07:03:28,948] - INFO: Epoch 3516/9999, Iter 175760: Loss = 0.016312286257743835, lr = [0.0001] +[2024-06-10 07:04:09,600] - INFO: Epoch 3516/9999, Iter 175780: Loss = 0.01188052911311388, lr = [0.0001] +[2024-06-10 07:04:46,647] - INFO: Epoch 3517/9999, Iter 175800: Loss = 0.015044117346405983, lr = [0.0001] +[2024-06-10 07:05:28,789] - INFO: Epoch 3517/9999, Iter 175820: Loss = 0.010090261697769165, lr = [0.0001] +[2024-06-10 07:06:09,204] - INFO: Epoch 3517/9999, Iter 175840: Loss = 0.016518400982022285, lr = [0.0001] +[2024-06-10 07:06:50,679] - INFO: Epoch 3518/9999, Iter 175860: Loss = 0.011552346870303154, lr = [0.0001] +[2024-06-10 07:07:28,637] - INFO: Epoch 3518/9999, Iter 175880: Loss = 0.01163877360522747, lr = [0.0001] +[2024-06-10 07:08:08,504] - INFO: Epoch 3519/9999, Iter 175900: Loss = 0.01060858741402626, lr = [0.0001] +[2024-06-10 07:08:48,192] - INFO: Epoch 3519/9999, Iter 175920: Loss = 0.012008847668766975, lr = [0.0001] +[2024-06-10 07:09:28,076] - INFO: Epoch 3519/9999, Iter 175940: Loss = 0.009241459891200066, lr = [0.0001] +[2024-06-10 07:10:08,855] - INFO: Epoch 3520/9999, Iter 175960: Loss = 0.015204506926238537, lr = [0.0001] +[2024-06-10 07:10:47,855] - INFO: Epoch 3520/9999, Iter 175980: Loss = 0.012113681994378567, lr = [0.0001] +[2024-06-10 07:11:24,099] - INFO: Evaluate at epoch 3520! +[2024-06-10 07:11:28,292] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 07:11:28,292] - INFO: Eval (with pad) PSNR (current): 38.141 (3520) SSIM (current): 0.9614 (3520) +[2024-06-10 07:11:28,292] - INFO: Evaluation over. +[2024-06-10 07:11:33,688] - INFO: Epoch 3521/9999, Iter 176000: Loss = 0.0058668870478868484, lr = [0.0001] +[2024-06-10 07:12:14,540] - INFO: Epoch 3521/9999, Iter 176020: Loss = 0.011339784599840641, lr = [0.0001] +[2024-06-10 07:12:53,985] - INFO: Epoch 3521/9999, Iter 176040: Loss = 0.009765099734067917, lr = [0.0001] +[2024-06-10 07:13:34,431] - INFO: Epoch 3522/9999, Iter 176060: Loss = 0.016193274408578873, lr = [0.0001] +[2024-06-10 07:14:14,090] - INFO: Epoch 3522/9999, Iter 176080: Loss = 0.013673827983438969, lr = [0.0001] +[2024-06-10 07:14:52,518] - INFO: Epoch 3523/9999, Iter 176100: Loss = 0.010383409447968006, lr = [0.0001] +[2024-06-10 07:15:32,992] - INFO: Epoch 3523/9999, Iter 176120: Loss = 0.010865646414458752, lr = [0.0001] +[2024-06-10 07:16:12,062] - INFO: Epoch 3523/9999, Iter 176140: Loss = 0.012005222961306572, lr = [0.0001] +[2024-06-10 07:16:53,223] - INFO: Epoch 3524/9999, Iter 176160: Loss = 0.012379569932818413, lr = [0.0001] +[2024-06-10 07:17:33,542] - INFO: Epoch 3524/9999, Iter 176180: Loss = 0.011371857486665249, lr = [0.0001] +[2024-06-10 07:18:13,431] - INFO: Epoch 3525/9999, Iter 176200: Loss = 0.014220571145415306, lr = [0.0001] +[2024-06-10 07:18:55,220] - INFO: Epoch 3525/9999, Iter 176220: Loss = 0.017004823312163353, lr = [0.0001] +[2024-06-10 07:19:33,869] - INFO: Epoch 3525/9999, Iter 176240: Loss = 0.011370526626706123, lr = [0.0001] +[2024-06-10 07:19:50,030] - INFO: Evaluate at epoch 3525! +[2024-06-10 07:19:54,332] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 07:19:54,333] - INFO: Eval (with pad) PSNR (current): 38.165 (3525) SSIM (current): 0.9615 (3525) +[2024-06-10 07:19:54,333] - INFO: Evaluation over. +[2024-06-10 07:20:20,355] - INFO: Epoch 3526/9999, Iter 176260: Loss = 0.019179796800017357, lr = [0.0001] +[2024-06-10 07:20:59,982] - INFO: Epoch 3526/9999, Iter 176280: Loss = 0.012802357785403728, lr = [0.0001] +[2024-06-10 07:21:39,417] - INFO: Epoch 3527/9999, Iter 176300: Loss = 0.016957880929112434, lr = [0.0001] +[2024-06-10 07:22:20,126] - INFO: Epoch 3527/9999, Iter 176320: Loss = 0.013099630363285542, lr = [0.0001] +[2024-06-10 07:23:00,642] - INFO: Epoch 3527/9999, Iter 176340: Loss = 0.013949661515653133, lr = [0.0001] +[2024-06-10 07:23:41,445] - INFO: Epoch 3528/9999, Iter 176360: Loss = 0.018127772957086563, lr = [0.0001] +[2024-06-10 07:24:22,385] - INFO: Epoch 3528/9999, Iter 176380: Loss = 0.02083812840282917, lr = [0.0001] +[2024-06-10 07:25:00,690] - INFO: Epoch 3529/9999, Iter 176400: Loss = 0.016842061653733253, lr = [0.0001] +[2024-06-10 07:25:40,168] - INFO: Epoch 3529/9999, Iter 176420: Loss = 0.01130176242440939, lr = [0.0001] +[2024-06-10 07:26:19,713] - INFO: Epoch 3529/9999, Iter 176440: Loss = 0.01243546698242426, lr = [0.0001] +[2024-06-10 07:26:59,808] - INFO: Epoch 3530/9999, Iter 176460: Loss = 0.01068326085805893, lr = [0.0001] +[2024-06-10 07:27:38,019] - INFO: Epoch 3530/9999, Iter 176480: Loss = 0.011668507941067219, lr = [0.0001] +[2024-06-10 07:28:12,453] - INFO: Evaluate at epoch 3530! +[2024-06-10 07:28:16,885] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 07:28:16,885] - INFO: Eval (with pad) PSNR (current): 38.173 (3530) SSIM (current): 0.9614 (3530) +[2024-06-10 07:28:16,885] - INFO: Evaluation over. +[2024-06-10 07:28:22,265] - INFO: Epoch 3531/9999, Iter 176500: Loss = 0.011233693920075893, lr = [0.0001] +[2024-06-10 07:29:03,353] - INFO: Epoch 3531/9999, Iter 176520: Loss = 0.00827073771506548, lr = [0.0001] +[2024-06-10 07:29:40,869] - INFO: Epoch 3531/9999, Iter 176540: Loss = 0.007839091122150421, lr = [0.0001] +[2024-06-10 07:30:22,705] - INFO: Epoch 3532/9999, Iter 176560: Loss = 0.016145389527082443, lr = [0.0001] +[2024-06-10 07:31:03,382] - INFO: Epoch 3532/9999, Iter 176580: Loss = 0.01769089512526989, lr = [0.0001] +[2024-06-10 07:31:43,658] - INFO: Epoch 3533/9999, Iter 176600: Loss = 0.012300122529268265, lr = [0.0001] +[2024-06-10 07:32:24,848] - INFO: Epoch 3533/9999, Iter 176620: Loss = 0.0120144197717309, lr = [0.0001] +[2024-06-10 07:33:05,184] - INFO: Epoch 3533/9999, Iter 176640: Loss = 0.012134086340665817, lr = [0.0001] +[2024-06-10 07:33:45,423] - INFO: Epoch 3534/9999, Iter 176660: Loss = 0.008647185750305653, lr = [0.0001] +[2024-06-10 07:34:24,904] - INFO: Epoch 3534/9999, Iter 176680: Loss = 0.011337650939822197, lr = [0.0001] +[2024-06-10 07:35:04,996] - INFO: Epoch 3535/9999, Iter 176700: Loss = 0.015266047790646553, lr = [0.0001] +[2024-06-10 07:35:46,454] - INFO: Epoch 3535/9999, Iter 176720: Loss = 0.013245484791696072, lr = [0.0001] +[2024-06-10 07:36:27,450] - INFO: Epoch 3535/9999, Iter 176740: Loss = 0.010225040838122368, lr = [0.0001] +[2024-06-10 07:36:42,305] - INFO: Evaluate at epoch 3535! +[2024-06-10 07:36:46,535] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 07:36:46,535] - INFO: Eval (with pad) PSNR (current): 38.119 (3535) SSIM (current): 0.9614 (3535) +[2024-06-10 07:36:46,535] - INFO: Evaluation over. +[2024-06-10 07:37:13,106] - INFO: Epoch 3536/9999, Iter 176760: Loss = 0.012750290334224701, lr = [0.0001] +[2024-06-10 07:37:53,693] - INFO: Epoch 3536/9999, Iter 176780: Loss = 0.01585456356406212, lr = [0.0001] +[2024-06-10 07:38:32,098] - INFO: Epoch 3537/9999, Iter 176800: Loss = 0.020799720659852028, lr = [0.0001] +[2024-06-10 07:39:13,558] - INFO: Epoch 3537/9999, Iter 176820: Loss = 0.011585927568376064, lr = [0.0001] +[2024-06-10 07:39:53,844] - INFO: Epoch 3537/9999, Iter 176840: Loss = 0.01091141439974308, lr = [0.0001] +[2024-06-10 07:40:34,803] - INFO: Epoch 3538/9999, Iter 176860: Loss = 0.015552341006696224, lr = [0.0001] +[2024-06-10 07:41:15,532] - INFO: Epoch 3538/9999, Iter 176880: Loss = 0.01097018737345934, lr = [0.0001] +[2024-06-10 07:41:54,537] - INFO: Epoch 3539/9999, Iter 176900: Loss = 0.01376253366470337, lr = [0.0001] +[2024-06-10 07:42:35,044] - INFO: Epoch 3539/9999, Iter 176920: Loss = 0.011671270243823528, lr = [0.0001] +[2024-06-10 07:43:13,585] - INFO: Epoch 3539/9999, Iter 176940: Loss = 0.01956295035779476, lr = [0.0001] +[2024-06-10 07:43:54,555] - INFO: Epoch 3540/9999, Iter 176960: Loss = 0.006921565160155296, lr = [0.0001] +[2024-06-10 07:44:35,890] - INFO: Epoch 3540/9999, Iter 176980: Loss = 0.012832158245146275, lr = [0.0001] +[2024-06-10 07:45:12,111] - INFO: Evaluate at epoch 3540! +[2024-06-10 07:45:16,365] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 07:45:16,365] - INFO: Eval (with pad) PSNR (current): 38.153 (3540) SSIM (current): 0.9615 (3540) +[2024-06-10 07:45:16,366] - INFO: Evaluation over. +[2024-06-10 07:45:21,409] - INFO: Epoch 3541/9999, Iter 177000: Loss = 0.012912584468722343, lr = [0.0001] +[2024-06-10 07:46:03,806] - INFO: Epoch 3541/9999, Iter 177020: Loss = 0.01715611107647419, lr = [0.0001] +[2024-06-10 07:46:40,843] - INFO: Epoch 3541/9999, Iter 177040: Loss = 0.009275608696043491, lr = [0.0001] +[2024-06-10 07:47:21,872] - INFO: Epoch 3542/9999, Iter 177060: Loss = 0.009631907567381859, lr = [0.0001] +[2024-06-10 07:48:03,660] - INFO: Epoch 3542/9999, Iter 177080: Loss = 0.007439065258949995, lr = [0.0001] +[2024-06-10 07:48:42,710] - INFO: Epoch 3543/9999, Iter 177100: Loss = 0.013185977935791016, lr = [0.0001] +[2024-06-10 07:49:24,708] - INFO: Epoch 3543/9999, Iter 177120: Loss = 0.008005166426301003, lr = [0.0001] +[2024-06-10 07:50:04,289] - INFO: Epoch 3543/9999, Iter 177140: Loss = 0.012526744976639748, lr = [0.0001] +[2024-06-10 07:50:44,445] - INFO: Epoch 3544/9999, Iter 177160: Loss = 0.010743672959506512, lr = [0.0001] +[2024-06-10 07:51:25,710] - INFO: Epoch 3544/9999, Iter 177180: Loss = 0.011813119053840637, lr = [0.0001] +[2024-06-10 07:52:02,865] - INFO: Epoch 3545/9999, Iter 177200: Loss = 0.007437183987349272, lr = [0.0001] +[2024-06-10 07:52:45,394] - INFO: Epoch 3545/9999, Iter 177220: Loss = 0.011872678063809872, lr = [0.0001] +[2024-06-10 07:53:25,325] - INFO: Epoch 3545/9999, Iter 177240: Loss = 0.010469650849699974, lr = [0.0001] +[2024-06-10 07:53:40,727] - INFO: Evaluate at epoch 3545! +[2024-06-10 07:53:44,865] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 07:53:44,866] - INFO: Eval (with pad) PSNR (current): 38.140 (3545) SSIM (current): 0.9614 (3545) +[2024-06-10 07:53:44,866] - INFO: Evaluation over. +[2024-06-10 07:54:10,662] - INFO: Epoch 3546/9999, Iter 177260: Loss = 0.01067619863897562, lr = [0.0001] +[2024-06-10 07:54:50,302] - INFO: Epoch 3546/9999, Iter 177280: Loss = 0.016248466446995735, lr = [0.0001] +[2024-06-10 07:55:30,220] - INFO: Epoch 3547/9999, Iter 177300: Loss = 0.009015113115310669, lr = [0.0001] +[2024-06-10 07:56:10,533] - INFO: Epoch 3547/9999, Iter 177320: Loss = 0.011052669957280159, lr = [0.0001] +[2024-06-10 07:56:50,736] - INFO: Epoch 3547/9999, Iter 177340: Loss = 0.013956576585769653, lr = [0.0001] +[2024-06-10 07:57:32,355] - INFO: Epoch 3548/9999, Iter 177360: Loss = 0.011858684942126274, lr = [0.0001] +[2024-06-10 07:58:13,169] - INFO: Epoch 3548/9999, Iter 177380: Loss = 0.016040373593568802, lr = [0.0001] +[2024-06-10 07:58:52,086] - INFO: Epoch 3549/9999, Iter 177400: Loss = 0.009353688918054104, lr = [0.0001] +[2024-06-10 07:59:34,705] - INFO: Epoch 3549/9999, Iter 177420: Loss = 0.01069938950240612, lr = [0.0001] +[2024-06-10 08:00:15,160] - INFO: Epoch 3549/9999, Iter 177440: Loss = 0.015867698937654495, lr = [0.0001] +[2024-06-10 08:00:55,800] - INFO: Epoch 3550/9999, Iter 177460: Loss = 0.011510924436151981, lr = [0.0001] +[2024-06-10 08:01:37,423] - INFO: Epoch 3550/9999, Iter 177480: Loss = 0.012229184620082378, lr = [0.0001] +[2024-06-10 08:02:11,448] - INFO: Evaluate at epoch 3550! +[2024-06-10 08:02:15,828] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 08:02:15,828] - INFO: Eval (with pad) PSNR (current): 38.193 (3550) SSIM (current): 0.9613 (3550) +[2024-06-10 08:02:15,828] - INFO: Evaluation over. +[2024-06-10 08:02:21,496] - INFO: Epoch 3551/9999, Iter 177500: Loss = 0.009193231351673603, lr = [0.0001] +[2024-06-10 08:02:59,863] - INFO: Epoch 3551/9999, Iter 177520: Loss = 0.01532740332186222, lr = [0.0001] +[2024-06-10 08:03:40,101] - INFO: Epoch 3551/9999, Iter 177540: Loss = 0.01095681544393301, lr = [0.0001] +[2024-06-10 08:04:21,036] - INFO: Epoch 3552/9999, Iter 177560: Loss = 0.014218341559171677, lr = [0.0001] +[2024-06-10 08:05:01,168] - INFO: Epoch 3552/9999, Iter 177580: Loss = 0.013184227049350739, lr = [0.0001] +[2024-06-10 08:05:40,656] - INFO: Epoch 3553/9999, Iter 177600: Loss = 0.012560078874230385, lr = [0.0001] +[2024-06-10 08:06:20,534] - INFO: Epoch 3553/9999, Iter 177620: Loss = 0.01392701268196106, lr = [0.0001] +[2024-06-10 08:06:59,742] - INFO: Epoch 3553/9999, Iter 177640: Loss = 0.01873706467449665, lr = [0.0001] +[2024-06-10 08:07:39,058] - INFO: Epoch 3554/9999, Iter 177660: Loss = 0.008338065817952156, lr = [0.0001] +[2024-06-10 08:08:20,314] - INFO: Epoch 3554/9999, Iter 177680: Loss = 0.013025910593569279, lr = [0.0001] +[2024-06-10 08:09:00,055] - INFO: Epoch 3555/9999, Iter 177700: Loss = 0.01184637937694788, lr = [0.0001] +[2024-06-10 08:09:41,310] - INFO: Epoch 3555/9999, Iter 177720: Loss = 0.014281944371759892, lr = [0.0001] +[2024-06-10 08:10:20,692] - INFO: Epoch 3555/9999, Iter 177740: Loss = 0.01350442599505186, lr = [0.0001] +[2024-06-10 08:10:37,509] - INFO: Evaluate at epoch 3555! +[2024-06-10 08:10:41,805] - INFO: Eval (with pad) PSNR (max): 38.203 (3440) SSIM (max): 0.9615 (2850) +[2024-06-10 08:10:41,805] - INFO: Eval (with pad) PSNR (current): 38.165 (3555) SSIM (current): 0.9613 (3555) +[2024-06-10 08:10:41,805] - INFO: Evaluation over. +[2024-06-10 08:11:08,457] - INFO: Epoch 3556/9999, Iter 177760: Loss = 0.010412662290036678, lr = [0.0001] +[2024-06-10 08:11:46,559] - INFO: Epoch 3556/9999, Iter 177780: Loss = 0.01773156225681305, lr = [0.0001] +[2024-06-10 08:12:26,236] - INFO: Epoch 3557/9999, Iter 177800: Loss = 0.010466192848980427, lr = [0.0001] +[2024-06-10 08:13:07,149] - INFO: Epoch 3557/9999, Iter 177820: Loss = 0.01177665963768959, lr = [0.0001] +[2024-06-10 08:13:46,374] - INFO: Epoch 3557/9999, Iter 177840: Loss = 0.019095858559012413, lr = [0.0001] +[2024-06-10 08:14:27,259] - INFO: Epoch 3558/9999, Iter 177860: Loss = 0.01280510239303112, lr = [0.0001] +[2024-06-10 08:15:08,359] - INFO: Epoch 3558/9999, Iter 177880: Loss = 0.015877673402428627, lr = [0.0001] +[2024-06-10 08:15:47,063] - INFO: Epoch 3559/9999, Iter 177900: Loss = 0.0170329287648201, lr = [0.0001] +[2024-06-10 08:16:28,008] - INFO: Epoch 3559/9999, Iter 177920: Loss = 0.014976179227232933, lr = [0.0001] +[2024-06-10 08:17:07,932] - INFO: Epoch 3559/9999, Iter 177940: Loss = 0.013395383954048157, lr = [0.0001] +[2024-06-10 08:17:47,781] - INFO: Epoch 3560/9999, Iter 177960: Loss = 0.014200001023709774, lr = [0.0001] +[2024-06-10 08:18:28,088] - INFO: Epoch 3560/9999, Iter 177980: Loss = 0.014359461143612862, lr = [0.0001] +[2024-06-10 08:19:03,662] - INFO: Evaluate at epoch 3560! +[2024-06-10 08:19:09,503] - INFO: Eval (with pad) PSNR (max): 38.206 (3560) SSIM (max): 0.9615 (2850) +[2024-06-10 08:19:09,503] - INFO: Eval (with pad) PSNR (current): 38.206 (3560) SSIM (current): 0.9615 (3560) +[2024-06-10 08:19:09,504] - INFO: Evaluation over. +[2024-06-10 08:19:14,804] - INFO: Epoch 3561/9999, Iter 178000: Loss = 0.011174535378813744, lr = [0.0001] +[2024-06-10 08:19:56,102] - INFO: Epoch 3561/9999, Iter 178020: Loss = 0.01523330807685852, lr = [0.0001] +[2024-06-10 08:20:35,451] - INFO: Epoch 3561/9999, Iter 178040: Loss = 0.011072770692408085, lr = [0.0001] +[2024-06-10 08:21:16,326] - INFO: Epoch 3562/9999, Iter 178060: Loss = 0.014385782182216644, lr = [0.0001] +[2024-06-10 08:21:57,517] - INFO: Epoch 3562/9999, Iter 178080: Loss = 0.012327124364674091, lr = [0.0001] +[2024-06-10 08:22:37,187] - INFO: Epoch 3563/9999, Iter 178100: Loss = 0.009907678700983524, lr = [0.0001] +[2024-06-10 08:23:16,890] - INFO: Epoch 3563/9999, Iter 178120: Loss = 0.009408741258084774, lr = [0.0001] +[2024-06-10 08:23:57,678] - INFO: Epoch 3563/9999, Iter 178140: Loss = 0.015183852054178715, lr = [0.0001] +[2024-06-10 08:24:36,988] - INFO: Epoch 3564/9999, Iter 178160: Loss = 0.012826958671212196, lr = [0.0001] +[2024-06-10 08:25:17,319] - INFO: Epoch 3564/9999, Iter 178180: Loss = 0.008397702127695084, lr = [0.0001] +[2024-06-10 08:25:57,837] - INFO: Epoch 3565/9999, Iter 178200: Loss = 0.017750045284628868, lr = [0.0001] +[2024-06-10 08:26:40,122] - INFO: Epoch 3565/9999, Iter 178220: Loss = 0.010939965955913067, lr = [0.0001] +[2024-06-10 08:27:18,942] - INFO: Epoch 3565/9999, Iter 178240: Loss = 0.00946273934096098, lr = [0.0001] +[2024-06-10 08:27:34,697] - INFO: Evaluate at epoch 3565! +[2024-06-10 08:27:41,800] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 08:27:41,801] - INFO: Eval (with pad) PSNR (current): 38.206 (3565) SSIM (current): 0.9616 (3565) +[2024-06-10 08:27:41,801] - INFO: Evaluation over. +[2024-06-10 08:28:07,789] - INFO: Epoch 3566/9999, Iter 178260: Loss = 0.016458531841635704, lr = [0.0001] +[2024-06-10 08:28:48,245] - INFO: Epoch 3566/9999, Iter 178280: Loss = 0.01136413961648941, lr = [0.0001] +[2024-06-10 08:29:28,641] - INFO: Epoch 3567/9999, Iter 178300: Loss = 0.010190045461058617, lr = [0.0001] +[2024-06-10 08:30:07,922] - INFO: Epoch 3567/9999, Iter 178320: Loss = 0.015013651922345161, lr = [0.0001] +[2024-06-10 08:30:47,589] - INFO: Epoch 3567/9999, Iter 178340: Loss = 0.015224918723106384, lr = [0.0001] +[2024-06-10 08:31:27,236] - INFO: Epoch 3568/9999, Iter 178360: Loss = 0.01241220347583294, lr = [0.0001] +[2024-06-10 08:32:07,159] - INFO: Epoch 3568/9999, Iter 178380: Loss = 0.013925733044743538, lr = [0.0001] +[2024-06-10 08:32:47,049] - INFO: Epoch 3569/9999, Iter 178400: Loss = 0.00883565191179514, lr = [0.0001] +[2024-06-10 08:33:28,389] - INFO: Epoch 3569/9999, Iter 178420: Loss = 0.010961984284222126, lr = [0.0001] +[2024-06-10 08:34:07,764] - INFO: Epoch 3569/9999, Iter 178440: Loss = 0.00889583583921194, lr = [0.0001] +[2024-06-10 08:34:48,536] - INFO: Epoch 3570/9999, Iter 178460: Loss = 0.01069855410605669, lr = [0.0001] +[2024-06-10 08:35:27,033] - INFO: Epoch 3570/9999, Iter 178480: Loss = 0.019952520728111267, lr = [0.0001] +[2024-06-10 08:36:02,245] - INFO: Evaluate at epoch 3570! +[2024-06-10 08:36:06,352] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 08:36:06,352] - INFO: Eval (with pad) PSNR (current): 38.188 (3570) SSIM (current): 0.9615 (3570) +[2024-06-10 08:36:06,352] - INFO: Evaluation over. +[2024-06-10 08:36:11,840] - INFO: Epoch 3571/9999, Iter 178500: Loss = 0.013122458010911942, lr = [0.0001] +[2024-06-10 08:36:52,696] - INFO: Epoch 3571/9999, Iter 178520: Loss = 0.014613272622227669, lr = [0.0001] +[2024-06-10 08:37:33,311] - INFO: Epoch 3571/9999, Iter 178540: Loss = 0.012273511849343777, lr = [0.0001] +[2024-06-10 08:38:13,187] - INFO: Epoch 3572/9999, Iter 178560: Loss = 0.019820233806967735, lr = [0.0001] +[2024-06-10 08:38:53,830] - INFO: Epoch 3572/9999, Iter 178580: Loss = 0.0137156518176198, lr = [0.0001] +[2024-06-10 08:39:32,813] - INFO: Epoch 3573/9999, Iter 178600: Loss = 0.01439756155014038, lr = [0.0001] +[2024-06-10 08:40:13,009] - INFO: Epoch 3573/9999, Iter 178620: Loss = 0.007168373558670282, lr = [0.0001] +[2024-06-10 08:40:53,190] - INFO: Epoch 3573/9999, Iter 178640: Loss = 0.009646834805607796, lr = [0.0001] +[2024-06-10 08:41:34,969] - INFO: Epoch 3574/9999, Iter 178660: Loss = 0.013018191792070866, lr = [0.0001] +[2024-06-10 08:42:15,683] - INFO: Epoch 3574/9999, Iter 178680: Loss = 0.011542750522494316, lr = [0.0001] +[2024-06-10 08:42:54,231] - INFO: Epoch 3575/9999, Iter 178700: Loss = 0.011987300589680672, lr = [0.0001] +[2024-06-10 08:43:36,383] - INFO: Epoch 3575/9999, Iter 178720: Loss = 0.013982015661895275, lr = [0.0001] +[2024-06-10 08:44:13,836] - INFO: Epoch 3575/9999, Iter 178740: Loss = 0.011080766096711159, lr = [0.0001] +[2024-06-10 08:44:29,968] - INFO: Evaluate at epoch 3575! +[2024-06-10 08:44:34,093] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 08:44:34,093] - INFO: Eval (with pad) PSNR (current): 38.186 (3575) SSIM (current): 0.9615 (3575) +[2024-06-10 08:44:34,093] - INFO: Evaluation over. +[2024-06-10 08:45:00,747] - INFO: Epoch 3576/9999, Iter 178760: Loss = 0.009206554852426052, lr = [0.0001] +[2024-06-10 08:45:41,057] - INFO: Epoch 3576/9999, Iter 178780: Loss = 0.010074231773614883, lr = [0.0001] +[2024-06-10 08:46:21,019] - INFO: Epoch 3577/9999, Iter 178800: Loss = 0.014041026122868061, lr = [0.0001] +[2024-06-10 08:47:03,546] - INFO: Epoch 3577/9999, Iter 178820: Loss = 0.011017726734280586, lr = [0.0001] +[2024-06-10 08:47:43,402] - INFO: Epoch 3577/9999, Iter 178840: Loss = 0.016330476850271225, lr = [0.0001] +[2024-06-10 08:48:23,576] - INFO: Epoch 3578/9999, Iter 178860: Loss = 0.016318336129188538, lr = [0.0001] +[2024-06-10 08:49:02,412] - INFO: Epoch 3578/9999, Iter 178880: Loss = 0.012011955492198467, lr = [0.0001] +[2024-06-10 08:49:41,945] - INFO: Epoch 3579/9999, Iter 178900: Loss = 0.010307158343493938, lr = [0.0001] +[2024-06-10 08:50:21,432] - INFO: Epoch 3579/9999, Iter 178920: Loss = 0.009262112900614738, lr = [0.0001] +[2024-06-10 08:51:00,166] - INFO: Epoch 3579/9999, Iter 178940: Loss = 0.013726666569709778, lr = [0.0001] +[2024-06-10 08:51:39,962] - INFO: Epoch 3580/9999, Iter 178960: Loss = 0.009536424651741982, lr = [0.0001] +[2024-06-10 08:52:19,346] - INFO: Epoch 3580/9999, Iter 178980: Loss = 0.010387367568910122, lr = [0.0001] +[2024-06-10 08:52:54,970] - INFO: Evaluate at epoch 3580! +[2024-06-10 08:52:59,220] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 08:52:59,220] - INFO: Eval (with pad) PSNR (current): 38.066 (3580) SSIM (current): 0.9614 (3580) +[2024-06-10 08:52:59,220] - INFO: Evaluation over. +[2024-06-10 08:53:04,273] - INFO: Epoch 3581/9999, Iter 179000: Loss = 0.013990379869937897, lr = [0.0001] +[2024-06-10 08:53:43,543] - INFO: Epoch 3581/9999, Iter 179020: Loss = 0.012611759826540947, lr = [0.0001] +[2024-06-10 08:54:24,355] - INFO: Epoch 3581/9999, Iter 179040: Loss = 0.011817723512649536, lr = [0.0001] +[2024-06-10 08:55:04,434] - INFO: Epoch 3582/9999, Iter 179060: Loss = 0.012668274343013763, lr = [0.0001] +[2024-06-10 08:55:45,488] - INFO: Epoch 3582/9999, Iter 179080: Loss = 0.007401051931083202, lr = [0.0001] +[2024-06-10 08:56:26,224] - INFO: Epoch 3583/9999, Iter 179100: Loss = 0.014517100527882576, lr = [0.0001] +[2024-06-10 08:57:07,443] - INFO: Epoch 3583/9999, Iter 179120: Loss = 0.01649456098675728, lr = [0.0001] +[2024-06-10 08:57:47,748] - INFO: Epoch 3583/9999, Iter 179140: Loss = 0.01317055057734251, lr = [0.0001] +[2024-06-10 08:58:29,250] - INFO: Epoch 3584/9999, Iter 179160: Loss = 0.012780917808413506, lr = [0.0001] +[2024-06-10 08:59:10,663] - INFO: Epoch 3584/9999, Iter 179180: Loss = 0.010039190761744976, lr = [0.0001] +[2024-06-10 08:59:49,005] - INFO: Epoch 3585/9999, Iter 179200: Loss = 0.012917251326143742, lr = [0.0001] +[2024-06-10 09:00:29,962] - INFO: Epoch 3585/9999, Iter 179220: Loss = 0.014820300973951817, lr = [0.0001] +[2024-06-10 09:01:08,626] - INFO: Epoch 3585/9999, Iter 179240: Loss = 0.01069383230060339, lr = [0.0001] +[2024-06-10 09:01:23,773] - INFO: Evaluate at epoch 3585! +[2024-06-10 09:01:28,030] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 09:01:28,031] - INFO: Eval (with pad) PSNR (current): 38.163 (3585) SSIM (current): 0.9614 (3585) +[2024-06-10 09:01:28,031] - INFO: Evaluation over. +[2024-06-10 09:01:52,289] - INFO: Epoch 3586/9999, Iter 179260: Loss = 0.015949543565511703, lr = [0.0001] +[2024-06-10 09:02:33,805] - INFO: Epoch 3586/9999, Iter 179280: Loss = 0.014846188016235828, lr = [0.0001] +[2024-06-10 09:03:14,256] - INFO: Epoch 3587/9999, Iter 179300: Loss = 0.010769886896014214, lr = [0.0001] +[2024-06-10 09:03:55,372] - INFO: Epoch 3587/9999, Iter 179320: Loss = 0.011760489083826542, lr = [0.0001] +[2024-06-10 09:04:34,642] - INFO: Epoch 3587/9999, Iter 179340: Loss = 0.012882965616881847, lr = [0.0001] +[2024-06-10 09:05:16,498] - INFO: Epoch 3588/9999, Iter 179360: Loss = 0.01560774352401495, lr = [0.0001] +[2024-06-10 09:05:55,958] - INFO: Epoch 3588/9999, Iter 179380: Loss = 0.010316049680113792, lr = [0.0001] +[2024-06-10 09:06:35,350] - INFO: Epoch 3589/9999, Iter 179400: Loss = 0.01156759262084961, lr = [0.0001] +[2024-06-10 09:07:15,477] - INFO: Epoch 3589/9999, Iter 179420: Loss = 0.01394614763557911, lr = [0.0001] +[2024-06-10 09:07:55,140] - INFO: Epoch 3589/9999, Iter 179440: Loss = 0.008611286990344524, lr = [0.0001] +[2024-06-10 09:08:34,881] - INFO: Epoch 3590/9999, Iter 179460: Loss = 0.010591376572847366, lr = [0.0001] +[2024-06-10 09:09:15,250] - INFO: Epoch 3590/9999, Iter 179480: Loss = 0.011983828619122505, lr = [0.0001] +[2024-06-10 09:09:50,618] - INFO: Evaluate at epoch 3590! +[2024-06-10 09:09:54,776] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 09:09:54,776] - INFO: Eval (with pad) PSNR (current): 38.125 (3590) SSIM (current): 0.9613 (3590) +[2024-06-10 09:09:54,776] - INFO: Evaluation over. +[2024-06-10 09:10:00,322] - INFO: Epoch 3591/9999, Iter 179500: Loss = 0.013852717354893684, lr = [0.0001] +[2024-06-10 09:10:40,609] - INFO: Epoch 3591/9999, Iter 179520: Loss = 0.01673257164657116, lr = [0.0001] +[2024-06-10 09:11:20,627] - INFO: Epoch 3591/9999, Iter 179540: Loss = 0.012594454921782017, lr = [0.0001] +[2024-06-10 09:12:01,125] - INFO: Epoch 3592/9999, Iter 179560: Loss = 0.008717120625078678, lr = [0.0001] +[2024-06-10 09:12:40,819] - INFO: Epoch 3592/9999, Iter 179580: Loss = 0.008890936151146889, lr = [0.0001] +[2024-06-10 09:13:21,627] - INFO: Epoch 3593/9999, Iter 179600: Loss = 0.015562180429697037, lr = [0.0001] +[2024-06-10 09:14:03,029] - INFO: Epoch 3593/9999, Iter 179620: Loss = 0.014024756848812103, lr = [0.0001] +[2024-06-10 09:14:42,485] - INFO: Epoch 3593/9999, Iter 179640: Loss = 0.015734121203422546, lr = [0.0001] +[2024-06-10 09:15:24,782] - INFO: Epoch 3594/9999, Iter 179660: Loss = 0.014746969565749168, lr = [0.0001] +[2024-06-10 09:16:04,011] - INFO: Epoch 3594/9999, Iter 179680: Loss = 0.013519001193344593, lr = [0.0001] +[2024-06-10 09:16:42,955] - INFO: Epoch 3595/9999, Iter 179700: Loss = 0.009786950424313545, lr = [0.0001] +[2024-06-10 09:17:24,804] - INFO: Epoch 3595/9999, Iter 179720: Loss = 0.0161111019551754, lr = [0.0001] +[2024-06-10 09:18:04,033] - INFO: Epoch 3595/9999, Iter 179740: Loss = 0.010042287409305573, lr = [0.0001] +[2024-06-10 09:18:20,275] - INFO: Evaluate at epoch 3595! +[2024-06-10 09:18:24,567] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 09:18:24,567] - INFO: Eval (with pad) PSNR (current): 38.183 (3595) SSIM (current): 0.9615 (3595) +[2024-06-10 09:18:24,567] - INFO: Evaluation over. +[2024-06-10 09:18:51,879] - INFO: Epoch 3596/9999, Iter 179760: Loss = 0.007883287966251373, lr = [0.0001] +[2024-06-10 09:19:30,952] - INFO: Epoch 3596/9999, Iter 179780: Loss = 0.010087015107274055, lr = [0.0001] +[2024-06-10 09:20:10,237] - INFO: Epoch 3597/9999, Iter 179800: Loss = 0.013519573025405407, lr = [0.0001] +[2024-06-10 09:20:51,548] - INFO: Epoch 3597/9999, Iter 179820: Loss = 0.013918579556047916, lr = [0.0001] +[2024-06-10 09:21:32,266] - INFO: Epoch 3597/9999, Iter 179840: Loss = 0.01277268398553133, lr = [0.0001] +[2024-06-10 09:22:12,372] - INFO: Epoch 3598/9999, Iter 179860: Loss = 0.012431113980710506, lr = [0.0001] +[2024-06-10 09:22:52,523] - INFO: Epoch 3598/9999, Iter 179880: Loss = 0.010321603156626225, lr = [0.0001] +[2024-06-10 09:23:32,337] - INFO: Epoch 3599/9999, Iter 179900: Loss = 0.01145109347999096, lr = [0.0001] +[2024-06-10 09:24:14,195] - INFO: Epoch 3599/9999, Iter 179920: Loss = 0.017991162836551666, lr = [0.0001] +[2024-06-10 09:24:53,665] - INFO: Epoch 3599/9999, Iter 179940: Loss = 0.012225689366459846, lr = [0.0001] +[2024-06-10 09:25:33,640] - INFO: Epoch 3600/9999, Iter 179960: Loss = 0.01592949405312538, lr = [0.0001] +[2024-06-10 09:26:14,478] - INFO: Epoch 3600/9999, Iter 179980: Loss = 0.019976286217570305, lr = [0.0001] +[2024-06-10 09:26:50,807] - INFO: Evaluate at epoch 3600! +[2024-06-10 09:26:55,038] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 09:26:55,039] - INFO: Eval (with pad) PSNR (current): 38.160 (3600) SSIM (current): 0.9615 (3600) +[2024-06-10 09:26:55,039] - INFO: Evaluation over. +[2024-06-10 09:27:00,420] - INFO: Epoch 3601/9999, Iter 180000: Loss = 0.010146706365048885, lr = [0.0001] +[2024-06-10 09:27:42,708] - INFO: Epoch 3601/9999, Iter 180020: Loss = 0.014704607427120209, lr = [0.0001] +[2024-06-10 09:28:22,047] - INFO: Epoch 3601/9999, Iter 180040: Loss = 0.01439326535910368, lr = [0.0001] +[2024-06-10 09:29:03,070] - INFO: Epoch 3602/9999, Iter 180060: Loss = 0.01559295691549778, lr = [0.0001] +[2024-06-10 09:29:43,641] - INFO: Epoch 3602/9999, Iter 180080: Loss = 0.011537613347172737, lr = [0.0001] +[2024-06-10 09:30:23,114] - INFO: Epoch 3603/9999, Iter 180100: Loss = 0.012250613421201706, lr = [0.0001] +[2024-06-10 09:31:04,193] - INFO: Epoch 3603/9999, Iter 180120: Loss = 0.010725421831011772, lr = [0.0001] +[2024-06-10 09:31:43,924] - INFO: Epoch 3603/9999, Iter 180140: Loss = 0.01102427113801241, lr = [0.0001] +[2024-06-10 09:32:24,314] - INFO: Epoch 3604/9999, Iter 180160: Loss = 0.013051529414951801, lr = [0.0001] +[2024-06-10 09:33:05,204] - INFO: Epoch 3604/9999, Iter 180180: Loss = 0.009402339346706867, lr = [0.0001] +[2024-06-10 09:33:44,637] - INFO: Epoch 3605/9999, Iter 180200: Loss = 0.011367296800017357, lr = [0.0001] +[2024-06-10 09:34:24,955] - INFO: Epoch 3605/9999, Iter 180220: Loss = 0.013115612789988518, lr = [0.0001] +[2024-06-10 09:35:03,910] - INFO: Epoch 3605/9999, Iter 180240: Loss = 0.010078765451908112, lr = [0.0001] +[2024-06-10 09:35:19,649] - INFO: Evaluate at epoch 3605! +[2024-06-10 09:35:23,821] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 09:35:23,822] - INFO: Eval (with pad) PSNR (current): 38.165 (3605) SSIM (current): 0.9614 (3605) +[2024-06-10 09:35:23,822] - INFO: Evaluation over. +[2024-06-10 09:35:49,532] - INFO: Epoch 3606/9999, Iter 180260: Loss = 0.015777703374624252, lr = [0.0001] +[2024-06-10 09:36:29,781] - INFO: Epoch 3606/9999, Iter 180280: Loss = 0.01157242152839899, lr = [0.0001] +[2024-06-10 09:37:09,026] - INFO: Epoch 3607/9999, Iter 180300: Loss = 0.011914954520761967, lr = [0.0001] +[2024-06-10 09:37:49,882] - INFO: Epoch 3607/9999, Iter 180320: Loss = 0.01423561479896307, lr = [0.0001] +[2024-06-10 09:38:30,629] - INFO: Epoch 3607/9999, Iter 180340: Loss = 0.012259447947144508, lr = [0.0001] +[2024-06-10 09:39:11,287] - INFO: Epoch 3608/9999, Iter 180360: Loss = 0.018522489815950394, lr = [0.0001] +[2024-06-10 09:39:52,303] - INFO: Epoch 3608/9999, Iter 180380: Loss = 0.014106662943959236, lr = [0.0001] +[2024-06-10 09:40:31,558] - INFO: Epoch 3609/9999, Iter 180400: Loss = 0.014406920410692692, lr = [0.0001] +[2024-06-10 09:41:12,979] - INFO: Epoch 3609/9999, Iter 180420: Loss = 0.009327567182481289, lr = [0.0001] +[2024-06-10 09:41:52,173] - INFO: Epoch 3609/9999, Iter 180440: Loss = 0.00788874551653862, lr = [0.0001] +[2024-06-10 09:42:29,916] - INFO: Epoch 3610/9999, Iter 180460: Loss = 0.01089935190975666, lr = [0.0001] +[2024-06-10 09:43:11,795] - INFO: Epoch 3610/9999, Iter 180480: Loss = 0.008157015778124332, lr = [0.0001] +[2024-06-10 09:43:47,189] - INFO: Evaluate at epoch 3610! +[2024-06-10 09:43:51,393] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 09:43:51,393] - INFO: Eval (with pad) PSNR (current): 38.157 (3610) SSIM (current): 0.9615 (3610) +[2024-06-10 09:43:51,393] - INFO: Evaluation over. +[2024-06-10 09:43:56,629] - INFO: Epoch 3611/9999, Iter 180500: Loss = 0.00979960709810257, lr = [0.0001] +[2024-06-10 09:44:38,540] - INFO: Epoch 3611/9999, Iter 180520: Loss = 0.009252344258129597, lr = [0.0001] +[2024-06-10 09:45:18,593] - INFO: Epoch 3611/9999, Iter 180540: Loss = 0.011431234888732433, lr = [0.0001] +[2024-06-10 09:45:58,225] - INFO: Epoch 3612/9999, Iter 180560: Loss = 0.00882931798696518, lr = [0.0001] +[2024-06-10 09:46:38,707] - INFO: Epoch 3612/9999, Iter 180580: Loss = 0.01259424164891243, lr = [0.0001] +[2024-06-10 09:47:18,980] - INFO: Epoch 3613/9999, Iter 180600: Loss = 0.00961934495717287, lr = [0.0001] +[2024-06-10 09:48:00,292] - INFO: Epoch 3613/9999, Iter 180620: Loss = 0.009017135947942734, lr = [0.0001] +[2024-06-10 09:48:41,472] - INFO: Epoch 3613/9999, Iter 180640: Loss = 0.009342288598418236, lr = [0.0001] +[2024-06-10 09:49:23,381] - INFO: Epoch 3614/9999, Iter 180660: Loss = 0.010798675008118153, lr = [0.0001] +[2024-06-10 09:50:02,269] - INFO: Epoch 3614/9999, Iter 180680: Loss = 0.011699247173964977, lr = [0.0001] +[2024-06-10 09:50:41,944] - INFO: Epoch 3615/9999, Iter 180700: Loss = 0.011829701252281666, lr = [0.0001] +[2024-06-10 09:51:22,464] - INFO: Epoch 3615/9999, Iter 180720: Loss = 0.009478255175054073, lr = [0.0001] +[2024-06-10 09:52:01,535] - INFO: Epoch 3615/9999, Iter 180740: Loss = 0.019085409119725227, lr = [0.0001] +[2024-06-10 09:52:17,837] - INFO: Evaluate at epoch 3615! +[2024-06-10 09:52:22,088] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 09:52:22,088] - INFO: Eval (with pad) PSNR (current): 38.203 (3615) SSIM (current): 0.9615 (3615) +[2024-06-10 09:52:22,088] - INFO: Evaluation over. +[2024-06-10 09:52:48,071] - INFO: Epoch 3616/9999, Iter 180760: Loss = 0.013515705242753029, lr = [0.0001] +[2024-06-10 09:53:28,004] - INFO: Epoch 3616/9999, Iter 180780: Loss = 0.008325790986418724, lr = [0.0001] +[2024-06-10 09:54:05,838] - INFO: Epoch 3617/9999, Iter 180800: Loss = 0.009890702553093433, lr = [0.0001] +[2024-06-10 09:54:47,491] - INFO: Epoch 3617/9999, Iter 180820: Loss = 0.01353065948933363, lr = [0.0001] +[2024-06-10 09:55:27,736] - INFO: Epoch 3617/9999, Iter 180840: Loss = 0.012441135942935944, lr = [0.0001] +[2024-06-10 09:56:08,927] - INFO: Epoch 3618/9999, Iter 180860: Loss = 0.010380557738244534, lr = [0.0001] +[2024-06-10 09:56:48,538] - INFO: Epoch 3618/9999, Iter 180880: Loss = 0.01124205905944109, lr = [0.0001] +[2024-06-10 09:57:27,654] - INFO: Epoch 3619/9999, Iter 180900: Loss = 0.01755010150372982, lr = [0.0001] +[2024-06-10 09:58:08,725] - INFO: Epoch 3619/9999, Iter 180920: Loss = 0.020509807392954826, lr = [0.0001] +[2024-06-10 09:58:47,310] - INFO: Epoch 3619/9999, Iter 180940: Loss = 0.014964631758630276, lr = [0.0001] +[2024-06-10 09:59:27,111] - INFO: Epoch 3620/9999, Iter 180960: Loss = 0.015929564833641052, lr = [0.0001] +[2024-06-10 10:00:07,917] - INFO: Epoch 3620/9999, Iter 180980: Loss = 0.010427955538034439, lr = [0.0001] +[2024-06-10 10:00:41,589] - INFO: Evaluate at epoch 3620! +[2024-06-10 10:00:45,904] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 10:00:45,905] - INFO: Eval (with pad) PSNR (current): 38.176 (3620) SSIM (current): 0.9613 (3620) +[2024-06-10 10:00:45,905] - INFO: Evaluation over. +[2024-06-10 10:00:51,369] - INFO: Epoch 3621/9999, Iter 181000: Loss = 0.009518248029053211, lr = [0.0001] +[2024-06-10 10:01:32,355] - INFO: Epoch 3621/9999, Iter 181020: Loss = 0.01379392109811306, lr = [0.0001] +[2024-06-10 10:02:11,188] - INFO: Epoch 3621/9999, Iter 181040: Loss = 0.01606522500514984, lr = [0.0001] +[2024-06-10 10:02:51,491] - INFO: Epoch 3622/9999, Iter 181060: Loss = 0.013797983527183533, lr = [0.0001] +[2024-06-10 10:03:30,216] - INFO: Epoch 3622/9999, Iter 181080: Loss = 0.009478282183408737, lr = [0.0001] +[2024-06-10 10:04:10,678] - INFO: Epoch 3623/9999, Iter 181100: Loss = 0.00859826523810625, lr = [0.0001] +[2024-06-10 10:04:51,947] - INFO: Epoch 3623/9999, Iter 181120: Loss = 0.01657615788280964, lr = [0.0001] +[2024-06-10 10:05:32,596] - INFO: Epoch 3623/9999, Iter 181140: Loss = 0.013179207220673561, lr = [0.0001] +[2024-06-10 10:06:13,178] - INFO: Epoch 3624/9999, Iter 181160: Loss = 0.010688437148928642, lr = [0.0001] +[2024-06-10 10:06:54,034] - INFO: Epoch 3624/9999, Iter 181180: Loss = 0.009651836939156055, lr = [0.0001] +[2024-06-10 10:07:34,701] - INFO: Epoch 3625/9999, Iter 181200: Loss = 0.01239941455423832, lr = [0.0001] +[2024-06-10 10:08:15,629] - INFO: Epoch 3625/9999, Iter 181220: Loss = 0.009355498477816582, lr = [0.0001] +[2024-06-10 10:08:56,004] - INFO: Epoch 3625/9999, Iter 181240: Loss = 0.008385425433516502, lr = [0.0001] +[2024-06-10 10:09:11,423] - INFO: Evaluate at epoch 3625! +[2024-06-10 10:09:15,612] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 10:09:15,612] - INFO: Eval (with pad) PSNR (current): 38.203 (3625) SSIM (current): 0.9615 (3625) +[2024-06-10 10:09:15,612] - INFO: Evaluation over. +[2024-06-10 10:09:41,822] - INFO: Epoch 3626/9999, Iter 181260: Loss = 0.014405322261154652, lr = [0.0001] +[2024-06-10 10:10:20,698] - INFO: Epoch 3626/9999, Iter 181280: Loss = 0.011052403599023819, lr = [0.0001] +[2024-06-10 10:10:58,991] - INFO: Epoch 3627/9999, Iter 181300: Loss = 0.013299775309860706, lr = [0.0001] +[2024-06-10 10:11:40,472] - INFO: Epoch 3627/9999, Iter 181320: Loss = 0.021274004131555557, lr = [0.0001] +[2024-06-10 10:12:20,134] - INFO: Epoch 3627/9999, Iter 181340: Loss = 0.009619132615625858, lr = [0.0001] +[2024-06-10 10:12:59,804] - INFO: Epoch 3628/9999, Iter 181360: Loss = 0.009663340635597706, lr = [0.0001] +[2024-06-10 10:13:39,889] - INFO: Epoch 3628/9999, Iter 181380: Loss = 0.008843041956424713, lr = [0.0001] +[2024-06-10 10:14:19,879] - INFO: Epoch 3629/9999, Iter 181400: Loss = 0.012390430085361004, lr = [0.0001] +[2024-06-10 10:15:01,800] - INFO: Epoch 3629/9999, Iter 181420: Loss = 0.014013562351465225, lr = [0.0001] +[2024-06-10 10:15:42,455] - INFO: Epoch 3629/9999, Iter 181440: Loss = 0.009328763000667095, lr = [0.0001] +[2024-06-10 10:16:21,859] - INFO: Epoch 3630/9999, Iter 181460: Loss = 0.010589661076664925, lr = [0.0001] +[2024-06-10 10:17:02,416] - INFO: Epoch 3630/9999, Iter 181480: Loss = 0.011903004720807076, lr = [0.0001] +[2024-06-10 10:17:38,199] - INFO: Evaluate at epoch 3630! +[2024-06-10 10:17:42,456] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 10:17:42,457] - INFO: Eval (with pad) PSNR (current): 38.188 (3630) SSIM (current): 0.9614 (3630) +[2024-06-10 10:17:42,457] - INFO: Evaluation over. +[2024-06-10 10:17:47,670] - INFO: Epoch 3631/9999, Iter 181500: Loss = 0.015444306656718254, lr = [0.0001] +[2024-06-10 10:18:28,765] - INFO: Epoch 3631/9999, Iter 181520: Loss = 0.012195185758173466, lr = [0.0001] +[2024-06-10 10:19:09,502] - INFO: Epoch 3631/9999, Iter 181540: Loss = 0.008703206665813923, lr = [0.0001] +[2024-06-10 10:19:49,443] - INFO: Epoch 3632/9999, Iter 181560: Loss = 0.015907026827335358, lr = [0.0001] +[2024-06-10 10:20:29,868] - INFO: Epoch 3632/9999, Iter 181580: Loss = 0.014138570986688137, lr = [0.0001] +[2024-06-10 10:21:09,233] - INFO: Epoch 3633/9999, Iter 181600: Loss = 0.008828788064420223, lr = [0.0001] +[2024-06-10 10:21:50,363] - INFO: Epoch 3633/9999, Iter 181620: Loss = 0.008934498764574528, lr = [0.0001] +[2024-06-10 10:22:28,527] - INFO: Epoch 3633/9999, Iter 181640: Loss = 0.013454650528728962, lr = [0.0001] +[2024-06-10 10:23:09,565] - INFO: Epoch 3634/9999, Iter 181660: Loss = 0.011524763889610767, lr = [0.0001] +[2024-06-10 10:23:50,637] - INFO: Epoch 3634/9999, Iter 181680: Loss = 0.013297900557518005, lr = [0.0001] +[2024-06-10 10:24:30,765] - INFO: Epoch 3635/9999, Iter 181700: Loss = 0.014419459737837315, lr = [0.0001] +[2024-06-10 10:25:09,834] - INFO: Epoch 3635/9999, Iter 181720: Loss = 0.013836199417710304, lr = [0.0001] +[2024-06-10 10:25:50,048] - INFO: Epoch 3635/9999, Iter 181740: Loss = 0.016780633479356766, lr = [0.0001] +[2024-06-10 10:26:05,838] - INFO: Evaluate at epoch 3635! +[2024-06-10 10:26:10,116] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 10:26:10,116] - INFO: Eval (with pad) PSNR (current): 38.170 (3635) SSIM (current): 0.9614 (3635) +[2024-06-10 10:26:10,116] - INFO: Evaluation over. +[2024-06-10 10:26:36,167] - INFO: Epoch 3636/9999, Iter 181760: Loss = 0.01106312032788992, lr = [0.0001] +[2024-06-10 10:27:17,807] - INFO: Epoch 3636/9999, Iter 181780: Loss = 0.010164528153836727, lr = [0.0001] +[2024-06-10 10:27:56,783] - INFO: Epoch 3637/9999, Iter 181800: Loss = 0.0173634085804224, lr = [0.0001] +[2024-06-10 10:28:38,112] - INFO: Epoch 3637/9999, Iter 181820: Loss = 0.009802006185054779, lr = [0.0001] +[2024-06-10 10:29:16,633] - INFO: Epoch 3637/9999, Iter 181840: Loss = 0.010074716992676258, lr = [0.0001] +[2024-06-10 10:29:55,287] - INFO: Epoch 3638/9999, Iter 181860: Loss = 0.011633917689323425, lr = [0.0001] +[2024-06-10 10:30:34,698] - INFO: Epoch 3638/9999, Iter 181880: Loss = 0.016435934230685234, lr = [0.0001] +[2024-06-10 10:31:15,175] - INFO: Epoch 3639/9999, Iter 181900: Loss = 0.013730195350944996, lr = [0.0001] +[2024-06-10 10:31:55,096] - INFO: Epoch 3639/9999, Iter 181920: Loss = 0.013317668810486794, lr = [0.0001] +[2024-06-10 10:32:34,461] - INFO: Epoch 3639/9999, Iter 181940: Loss = 0.00940784066915512, lr = [0.0001] +[2024-06-10 10:33:15,061] - INFO: Epoch 3640/9999, Iter 181960: Loss = 0.012234363704919815, lr = [0.0001] +[2024-06-10 10:33:55,396] - INFO: Epoch 3640/9999, Iter 181980: Loss = 0.018164385110139847, lr = [0.0001] +[2024-06-10 10:34:31,692] - INFO: Evaluate at epoch 3640! +[2024-06-10 10:34:35,894] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 10:34:35,895] - INFO: Eval (with pad) PSNR (current): 38.125 (3640) SSIM (current): 0.9614 (3640) +[2024-06-10 10:34:35,895] - INFO: Evaluation over. +[2024-06-10 10:34:41,275] - INFO: Epoch 3641/9999, Iter 182000: Loss = 0.011305849067866802, lr = [0.0001] +[2024-06-10 10:35:21,469] - INFO: Epoch 3641/9999, Iter 182020: Loss = 0.010332060046494007, lr = [0.0001] +[2024-06-10 10:36:01,442] - INFO: Epoch 3641/9999, Iter 182040: Loss = 0.00832635723054409, lr = [0.0001] +[2024-06-10 10:36:40,493] - INFO: Epoch 3642/9999, Iter 182060: Loss = 0.014772539027035236, lr = [0.0001] +[2024-06-10 10:37:21,574] - INFO: Epoch 3642/9999, Iter 182080: Loss = 0.00898247491568327, lr = [0.0001] +[2024-06-10 10:38:01,747] - INFO: Epoch 3643/9999, Iter 182100: Loss = 0.011943528428673744, lr = [0.0001] +[2024-06-10 10:38:44,047] - INFO: Epoch 3643/9999, Iter 182120: Loss = 0.01204788126051426, lr = [0.0001] +[2024-06-10 10:39:24,168] - INFO: Epoch 3643/9999, Iter 182140: Loss = 0.008737131021916866, lr = [0.0001] +[2024-06-10 10:40:04,189] - INFO: Epoch 3644/9999, Iter 182160: Loss = 0.010880525223910809, lr = [0.0001] +[2024-06-10 10:40:41,992] - INFO: Epoch 3644/9999, Iter 182180: Loss = 0.017747171223163605, lr = [0.0001] +[2024-06-10 10:41:22,840] - INFO: Epoch 3645/9999, Iter 182200: Loss = 0.015406548045575619, lr = [0.0001] +[2024-06-10 10:42:04,993] - INFO: Epoch 3645/9999, Iter 182220: Loss = 0.010334290564060211, lr = [0.0001] +[2024-06-10 10:42:45,939] - INFO: Epoch 3645/9999, Iter 182240: Loss = 0.013527704402804375, lr = [0.0001] +[2024-06-10 10:43:01,386] - INFO: Evaluate at epoch 3645! +[2024-06-10 10:43:05,679] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 10:43:05,680] - INFO: Eval (with pad) PSNR (current): 38.143 (3645) SSIM (current): 0.9614 (3645) +[2024-06-10 10:43:05,680] - INFO: Evaluation over. +[2024-06-10 10:43:32,574] - INFO: Epoch 3646/9999, Iter 182260: Loss = 0.015817226842045784, lr = [0.0001] +[2024-06-10 10:44:11,506] - INFO: Epoch 3646/9999, Iter 182280: Loss = 0.012009376659989357, lr = [0.0001] +[2024-06-10 10:44:49,989] - INFO: Epoch 3647/9999, Iter 182300: Loss = 0.011059315875172615, lr = [0.0001] +[2024-06-10 10:45:30,578] - INFO: Epoch 3647/9999, Iter 182320: Loss = 0.016815586015582085, lr = [0.0001] +[2024-06-10 10:46:11,430] - INFO: Epoch 3647/9999, Iter 182340: Loss = 0.013972490094602108, lr = [0.0001] +[2024-06-10 10:46:52,566] - INFO: Epoch 3648/9999, Iter 182360: Loss = 0.007423666305840015, lr = [0.0001] +[2024-06-10 10:47:33,984] - INFO: Epoch 3648/9999, Iter 182380: Loss = 0.021416086703538895, lr = [0.0001] +[2024-06-10 10:48:13,481] - INFO: Epoch 3649/9999, Iter 182400: Loss = 0.010244694538414478, lr = [0.0001] +[2024-06-10 10:48:53,402] - INFO: Epoch 3649/9999, Iter 182420: Loss = 0.010978732258081436, lr = [0.0001] +[2024-06-10 10:49:33,975] - INFO: Epoch 3649/9999, Iter 182440: Loss = 0.010941145941615105, lr = [0.0001] +[2024-06-10 10:50:12,026] - INFO: Epoch 3650/9999, Iter 182460: Loss = 0.01024993509054184, lr = [0.0001] +[2024-06-10 10:50:53,366] - INFO: Epoch 3650/9999, Iter 182480: Loss = 0.012620859779417515, lr = [0.0001] +[2024-06-10 10:51:28,343] - INFO: Evaluate at epoch 3650! +[2024-06-10 10:51:32,585] - INFO: Eval (with pad) PSNR (max): 38.206 (3565) SSIM (max): 0.9616 (3565) +[2024-06-10 10:51:32,585] - INFO: Eval (with pad) PSNR (current): 38.156 (3650) SSIM (current): 0.9615 (3650) +[2024-06-10 10:51:32,585] - INFO: Evaluation over. +[2024-06-10 10:51:37,839] - INFO: Epoch 3651/9999, Iter 182500: Loss = 0.01758185401558876, lr = [0.0001] +[2024-06-10 10:52:18,360] - INFO: Epoch 3651/9999, Iter 182520: Loss = 0.016332603991031647, lr = [0.0001] +[2024-06-10 10:52:58,825] - INFO: Epoch 3651/9999, Iter 182540: Loss = 0.016720149666070938, lr = [0.0001] +[2024-06-10 10:53:40,200] - INFO: Epoch 3652/9999, Iter 182560: Loss = 0.014650238677859306, lr = [0.0001] +[2024-06-10 10:54:20,588] - INFO: Epoch 3652/9999, Iter 182580: Loss = 0.011796259321272373, lr = [0.0001] +[2024-06-10 10:55:00,697] - INFO: Epoch 3653/9999, Iter 182600: Loss = 0.010134569369256496, lr = [0.0001] +[2024-06-10 10:55:42,741] - INFO: Epoch 3653/9999, Iter 182620: Loss = 0.014332033693790436, lr = [0.0001] +[2024-06-10 10:56:22,279] - INFO: Epoch 3653/9999, Iter 182640: Loss = 0.013026726432144642, lr = [0.0001] +[2024-06-10 10:57:01,839] - INFO: Epoch 3654/9999, Iter 182660: Loss = 0.01162779238075018, lr = [0.0001] +[2024-06-10 10:57:42,834] - INFO: Epoch 3654/9999, Iter 182680: Loss = 0.01344359666109085, lr = [0.0001] +[2024-06-10 10:58:23,298] - INFO: Epoch 3655/9999, Iter 182700: Loss = 0.013294074684381485, lr = [0.0001] +[2024-06-10 10:59:04,350] - INFO: Epoch 3655/9999, Iter 182720: Loss = 0.01809081807732582, lr = [0.0001] +[2024-06-10 10:59:45,279] - INFO: Epoch 3655/9999, Iter 182740: Loss = 0.013251333497464657, lr = [0.0001] +[2024-06-10 11:00:01,276] - INFO: Evaluate at epoch 3655! +[2024-06-10 11:00:07,093] - INFO: Eval (with pad) PSNR (max): 38.210 (3655) SSIM (max): 0.9616 (3565) +[2024-06-10 11:00:07,093] - INFO: Eval (with pad) PSNR (current): 38.210 (3655) SSIM (current): 0.9615 (3655) +[2024-06-10 11:00:07,094] - INFO: Evaluation over. +[2024-06-10 11:00:33,890] - INFO: Epoch 3656/9999, Iter 182760: Loss = 0.013535319827497005, lr = [0.0001] +[2024-06-10 11:01:14,006] - INFO: Epoch 3656/9999, Iter 182780: Loss = 0.00925940740853548, lr = [0.0001] +[2024-06-10 11:01:53,070] - INFO: Epoch 3657/9999, Iter 182800: Loss = 0.012967419810593128, lr = [0.0001] +[2024-06-10 11:02:34,449] - INFO: Epoch 3657/9999, Iter 182820: Loss = 0.020090196281671524, lr = [0.0001] +[2024-06-10 11:03:13,210] - INFO: Epoch 3657/9999, Iter 182840: Loss = 0.01668517105281353, lr = [0.0001] +[2024-06-10 11:03:54,326] - INFO: Epoch 3658/9999, Iter 182860: Loss = 0.010989455506205559, lr = [0.0001] +[2024-06-10 11:04:35,172] - INFO: Epoch 3658/9999, Iter 182880: Loss = 0.016993166878819466, lr = [0.0001] +[2024-06-10 11:05:16,310] - INFO: Epoch 3659/9999, Iter 182900: Loss = 0.013648276217281818, lr = [0.0001] +[2024-06-10 11:05:56,990] - INFO: Epoch 3659/9999, Iter 182920: Loss = 0.007229560986161232, lr = [0.0001] +[2024-06-10 11:06:36,877] - INFO: Epoch 3659/9999, Iter 182940: Loss = 0.009861521422863007, lr = [0.0001] +[2024-06-10 11:07:14,524] - INFO: Epoch 3660/9999, Iter 182960: Loss = 0.011383483186364174, lr = [0.0001] +[2024-06-10 11:07:54,803] - INFO: Epoch 3660/9999, Iter 182980: Loss = 0.009285674430429935, lr = [0.0001] +[2024-06-10 11:08:29,878] - INFO: Evaluate at epoch 3660! +[2024-06-10 11:08:34,166] - INFO: Eval (with pad) PSNR (max): 38.210 (3655) SSIM (max): 0.9616 (3565) +[2024-06-10 11:08:34,167] - INFO: Eval (with pad) PSNR (current): 38.087 (3660) SSIM (current): 0.9615 (3660) +[2024-06-10 11:08:34,167] - INFO: Evaluation over. +[2024-06-10 11:08:39,350] - INFO: Epoch 3661/9999, Iter 183000: Loss = 0.014807093888521194, lr = [0.0001] +[2024-06-10 11:09:18,001] - INFO: Epoch 3661/9999, Iter 183020: Loss = 0.01018251571804285, lr = [0.0001] +[2024-06-10 11:09:57,546] - INFO: Epoch 3661/9999, Iter 183040: Loss = 0.008938944898545742, lr = [0.0001] +[2024-06-10 11:10:36,951] - INFO: Epoch 3662/9999, Iter 183060: Loss = 0.007312213070690632, lr = [0.0001] +[2024-06-10 11:11:16,424] - INFO: Epoch 3662/9999, Iter 183080: Loss = 0.012820546515285969, lr = [0.0001] +[2024-06-10 11:11:56,901] - INFO: Epoch 3663/9999, Iter 183100: Loss = 0.01976536028087139, lr = [0.0001] +[2024-06-10 11:12:39,300] - INFO: Epoch 3663/9999, Iter 183120: Loss = 0.013186353258788586, lr = [0.0001] +[2024-06-10 11:13:18,917] - INFO: Epoch 3663/9999, Iter 183140: Loss = 0.01402942556887865, lr = [0.0001] +[2024-06-10 11:13:59,785] - INFO: Epoch 3664/9999, Iter 183160: Loss = 0.012416576966643333, lr = [0.0001] +[2024-06-10 11:14:39,063] - INFO: Epoch 3664/9999, Iter 183180: Loss = 0.012585319578647614, lr = [0.0001] +[2024-06-10 11:15:18,216] - INFO: Epoch 3665/9999, Iter 183200: Loss = 0.012885332107543945, lr = [0.0001] +[2024-06-10 11:15:58,687] - INFO: Epoch 3665/9999, Iter 183220: Loss = 0.009775261394679546, lr = [0.0001] +[2024-06-10 11:16:38,994] - INFO: Epoch 3665/9999, Iter 183240: Loss = 0.01074778288602829, lr = [0.0001] +[2024-06-10 11:16:55,277] - INFO: Evaluate at epoch 3665! +[2024-06-10 11:16:59,557] - INFO: Eval (with pad) PSNR (max): 38.210 (3655) SSIM (max): 0.9616 (3565) +[2024-06-10 11:16:59,557] - INFO: Eval (with pad) PSNR (current): 38.162 (3665) SSIM (current): 0.9615 (3665) +[2024-06-10 11:16:59,557] - INFO: Evaluation over. +[2024-06-10 11:17:25,644] - INFO: Epoch 3666/9999, Iter 183260: Loss = 0.01170037966221571, lr = [0.0001] +[2024-06-10 11:18:04,777] - INFO: Epoch 3666/9999, Iter 183280: Loss = 0.01579996570944786, lr = [0.0001] +[2024-06-10 11:18:44,671] - INFO: Epoch 3667/9999, Iter 183300: Loss = 0.013692142441868782, lr = [0.0001] +[2024-06-10 11:19:26,745] - INFO: Epoch 3667/9999, Iter 183320: Loss = 0.013726268894970417, lr = [0.0001] +[2024-06-10 11:20:06,811] - INFO: Epoch 3667/9999, Iter 183340: Loss = 0.013026628643274307, lr = [0.0001] +[2024-06-10 11:20:46,316] - INFO: Epoch 3668/9999, Iter 183360: Loss = 0.011117310263216496, lr = [0.0001] +[2024-06-10 11:21:26,980] - INFO: Epoch 3668/9999, Iter 183380: Loss = 0.011096304282546043, lr = [0.0001] +[2024-06-10 11:22:06,324] - INFO: Epoch 3669/9999, Iter 183400: Loss = 0.016835510730743408, lr = [0.0001] +[2024-06-10 11:22:47,305] - INFO: Epoch 3669/9999, Iter 183420: Loss = 0.01138592790812254, lr = [0.0001] +[2024-06-10 11:23:26,878] - INFO: Epoch 3669/9999, Iter 183440: Loss = 0.014929686672985554, lr = [0.0001] +[2024-06-10 11:24:08,214] - INFO: Epoch 3670/9999, Iter 183460: Loss = 0.014935589395463467, lr = [0.0001] +[2024-06-10 11:24:47,409] - INFO: Epoch 3670/9999, Iter 183480: Loss = 0.011213695630431175, lr = [0.0001] +[2024-06-10 11:25:23,973] - INFO: Evaluate at epoch 3670! +[2024-06-10 11:25:28,264] - INFO: Eval (with pad) PSNR (max): 38.210 (3655) SSIM (max): 0.9616 (3565) +[2024-06-10 11:25:28,264] - INFO: Eval (with pad) PSNR (current): 38.199 (3670) SSIM (current): 0.9615 (3670) +[2024-06-10 11:25:28,264] - INFO: Evaluation over. +[2024-06-10 11:25:34,046] - INFO: Epoch 3671/9999, Iter 183500: Loss = 0.011754265986382961, lr = [0.0001] +[2024-06-10 11:26:14,615] - INFO: Epoch 3671/9999, Iter 183520: Loss = 0.01473766379058361, lr = [0.0001] +[2024-06-10 11:26:53,977] - INFO: Epoch 3671/9999, Iter 183540: Loss = 0.013269406743347645, lr = [0.0001] +[2024-06-10 11:27:36,251] - INFO: Epoch 3672/9999, Iter 183560: Loss = 0.021668830886483192, lr = [0.0001] +[2024-06-10 11:28:16,558] - INFO: Epoch 3672/9999, Iter 183580: Loss = 0.013085071928799152, lr = [0.0001] +[2024-06-10 11:28:55,403] - INFO: Epoch 3673/9999, Iter 183600: Loss = 0.011442074552178383, lr = [0.0001] +[2024-06-10 11:29:37,584] - INFO: Epoch 3673/9999, Iter 183620: Loss = 0.010085242800414562, lr = [0.0001] +[2024-06-10 11:30:17,331] - INFO: Epoch 3673/9999, Iter 183640: Loss = 0.008740702643990517, lr = [0.0001] +[2024-06-10 11:30:56,673] - INFO: Epoch 3674/9999, Iter 183660: Loss = 0.014921188354492188, lr = [0.0001] +[2024-06-10 11:31:35,913] - INFO: Epoch 3674/9999, Iter 183680: Loss = 0.011983579955995083, lr = [0.0001] +[2024-06-10 11:32:16,912] - INFO: Epoch 3675/9999, Iter 183700: Loss = 0.010281316004693508, lr = [0.0001] +[2024-06-10 11:32:57,298] - INFO: Epoch 3675/9999, Iter 183720: Loss = 0.008502844721078873, lr = [0.0001] +[2024-06-10 11:33:36,430] - INFO: Epoch 3675/9999, Iter 183740: Loss = 0.012134919874370098, lr = [0.0001] +[2024-06-10 11:33:52,371] - INFO: Evaluate at epoch 3675! +[2024-06-10 11:33:58,109] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3565) +[2024-06-10 11:33:58,110] - INFO: Eval (with pad) PSNR (current): 38.216 (3675) SSIM (current): 0.9615 (3675) +[2024-06-10 11:33:58,110] - INFO: Evaluation over. +[2024-06-10 11:34:25,308] - INFO: Epoch 3676/9999, Iter 183760: Loss = 0.01673799939453602, lr = [0.0001] +[2024-06-10 11:35:05,880] - INFO: Epoch 3676/9999, Iter 183780: Loss = 0.011995206587016582, lr = [0.0001] +[2024-06-10 11:35:45,492] - INFO: Epoch 3677/9999, Iter 183800: Loss = 0.0081046586856246, lr = [0.0001] +[2024-06-10 11:36:26,615] - INFO: Epoch 3677/9999, Iter 183820: Loss = 0.015895327553153038, lr = [0.0001] +[2024-06-10 11:37:06,215] - INFO: Epoch 3677/9999, Iter 183840: Loss = 0.011176853440701962, lr = [0.0001] +[2024-06-10 11:37:44,796] - INFO: Epoch 3678/9999, Iter 183860: Loss = 0.013787942938506603, lr = [0.0001] +[2024-06-10 11:38:25,609] - INFO: Epoch 3678/9999, Iter 183880: Loss = 0.016420910134911537, lr = [0.0001] +[2024-06-10 11:39:05,025] - INFO: Epoch 3679/9999, Iter 183900: Loss = 0.010527937673032284, lr = [0.0001] +[2024-06-10 11:39:47,513] - INFO: Epoch 3679/9999, Iter 183920: Loss = 0.01172487810254097, lr = [0.0001] +[2024-06-10 11:40:28,098] - INFO: Epoch 3679/9999, Iter 183940: Loss = 0.014320245943963528, lr = [0.0001] +[2024-06-10 11:41:08,923] - INFO: Epoch 3680/9999, Iter 183960: Loss = 0.01210811734199524, lr = [0.0001] +[2024-06-10 11:41:50,034] - INFO: Epoch 3680/9999, Iter 183980: Loss = 0.01318228617310524, lr = [0.0001] +[2024-06-10 11:42:25,455] - INFO: Evaluate at epoch 3680! +[2024-06-10 11:42:29,715] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3565) +[2024-06-10 11:42:29,715] - INFO: Eval (with pad) PSNR (current): 38.158 (3680) SSIM (current): 0.9615 (3680) +[2024-06-10 11:42:29,715] - INFO: Evaluation over. +[2024-06-10 11:42:34,657] - INFO: Epoch 3681/9999, Iter 184000: Loss = 0.014354911632835865, lr = [0.0001] +[2024-06-10 11:43:15,569] - INFO: Epoch 3681/9999, Iter 184020: Loss = 0.008395454846322536, lr = [0.0001] +[2024-06-10 11:43:56,981] - INFO: Epoch 3681/9999, Iter 184040: Loss = 0.014044823125004768, lr = [0.0001] +[2024-06-10 11:44:37,100] - INFO: Epoch 3682/9999, Iter 184060: Loss = 0.013388879597187042, lr = [0.0001] +[2024-06-10 11:45:17,867] - INFO: Epoch 3682/9999, Iter 184080: Loss = 0.018755413591861725, lr = [0.0001] +[2024-06-10 11:45:57,332] - INFO: Epoch 3683/9999, Iter 184100: Loss = 0.017054039984941483, lr = [0.0001] +[2024-06-10 11:46:39,345] - INFO: Epoch 3683/9999, Iter 184120: Loss = 0.013611969538033009, lr = [0.0001] +[2024-06-10 11:47:19,268] - INFO: Epoch 3683/9999, Iter 184140: Loss = 0.01195894367992878, lr = [0.0001] +[2024-06-10 11:48:01,193] - INFO: Epoch 3684/9999, Iter 184160: Loss = 0.014817259274423122, lr = [0.0001] +[2024-06-10 11:48:41,907] - INFO: Epoch 3684/9999, Iter 184180: Loss = 0.012365471571683884, lr = [0.0001] +[2024-06-10 11:49:22,707] - INFO: Epoch 3685/9999, Iter 184200: Loss = 0.010874469764530659, lr = [0.0001] +[2024-06-10 11:50:04,808] - INFO: Epoch 3685/9999, Iter 184220: Loss = 0.008560754358768463, lr = [0.0001] +[2024-06-10 11:50:43,016] - INFO: Epoch 3685/9999, Iter 184240: Loss = 0.013970453292131424, lr = [0.0001] +[2024-06-10 11:50:58,636] - INFO: Evaluate at epoch 3685! +[2024-06-10 11:51:03,275] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3565) +[2024-06-10 11:51:03,276] - INFO: Eval (with pad) PSNR (current): 38.171 (3685) SSIM (current): 0.9614 (3685) +[2024-06-10 11:51:03,276] - INFO: Evaluation over. +[2024-06-10 11:51:28,500] - INFO: Epoch 3686/9999, Iter 184260: Loss = 0.007072812411934137, lr = [0.0001] +[2024-06-10 11:52:08,253] - INFO: Epoch 3686/9999, Iter 184280: Loss = 0.012950400821864605, lr = [0.0001] +[2024-06-10 11:52:47,653] - INFO: Epoch 3687/9999, Iter 184300: Loss = 0.012388258241117, lr = [0.0001] +[2024-06-10 11:53:29,630] - INFO: Epoch 3687/9999, Iter 184320: Loss = 0.01621200516819954, lr = [0.0001] +[2024-06-10 11:54:10,055] - INFO: Epoch 3687/9999, Iter 184340: Loss = 0.010461821220815182, lr = [0.0001] +[2024-06-10 11:54:51,326] - INFO: Epoch 3688/9999, Iter 184360: Loss = 0.0159629974514246, lr = [0.0001] +[2024-06-10 11:55:32,609] - INFO: Epoch 3688/9999, Iter 184380: Loss = 0.014931929297745228, lr = [0.0001] +[2024-06-10 11:56:12,423] - INFO: Epoch 3689/9999, Iter 184400: Loss = 0.013271629810333252, lr = [0.0001] +[2024-06-10 11:56:53,693] - INFO: Epoch 3689/9999, Iter 184420: Loss = 0.016322828829288483, lr = [0.0001] +[2024-06-10 11:57:33,775] - INFO: Epoch 3689/9999, Iter 184440: Loss = 0.01484273187816143, lr = [0.0001] +[2024-06-10 11:58:12,988] - INFO: Epoch 3690/9999, Iter 184460: Loss = 0.011948082596063614, lr = [0.0001] +[2024-06-10 11:58:52,980] - INFO: Epoch 3690/9999, Iter 184480: Loss = 0.01102339569479227, lr = [0.0001] +[2024-06-10 11:59:27,759] - INFO: Evaluate at epoch 3690! +[2024-06-10 11:59:33,764] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 11:59:33,765] - INFO: Eval (with pad) PSNR (current): 38.191 (3690) SSIM (current): 0.9616 (3690) +[2024-06-10 11:59:33,765] - INFO: Evaluation over. +[2024-06-10 11:59:38,692] - INFO: Epoch 3691/9999, Iter 184500: Loss = 0.015581794083118439, lr = [0.0001] +[2024-06-10 12:00:20,156] - INFO: Epoch 3691/9999, Iter 184520: Loss = 0.015200127847492695, lr = [0.0001] +[2024-06-10 12:01:01,057] - INFO: Epoch 3691/9999, Iter 184540: Loss = 0.014836501330137253, lr = [0.0001] +[2024-06-10 12:01:42,300] - INFO: Epoch 3692/9999, Iter 184560: Loss = 0.01230075117200613, lr = [0.0001] +[2024-06-10 12:02:23,078] - INFO: Epoch 3692/9999, Iter 184580: Loss = 0.007588978391140699, lr = [0.0001] +[2024-06-10 12:03:03,061] - INFO: Epoch 3693/9999, Iter 184600: Loss = 0.01451671589165926, lr = [0.0001] +[2024-06-10 12:03:42,498] - INFO: Epoch 3693/9999, Iter 184620: Loss = 0.012308202683925629, lr = [0.0001] +[2024-06-10 12:04:23,543] - INFO: Epoch 3693/9999, Iter 184640: Loss = 0.010808466002345085, lr = [0.0001] +[2024-06-10 12:05:03,122] - INFO: Epoch 3694/9999, Iter 184660: Loss = 0.011360285803675652, lr = [0.0001] +[2024-06-10 12:05:42,054] - INFO: Epoch 3694/9999, Iter 184680: Loss = 0.007620726712048054, lr = [0.0001] +[2024-06-10 12:06:20,653] - INFO: Epoch 3695/9999, Iter 184700: Loss = 0.010821068659424782, lr = [0.0001] +[2024-06-10 12:07:02,295] - INFO: Epoch 3695/9999, Iter 184720: Loss = 0.010793653316795826, lr = [0.0001] +[2024-06-10 12:07:42,317] - INFO: Epoch 3695/9999, Iter 184740: Loss = 0.014707982540130615, lr = [0.0001] +[2024-06-10 12:07:57,733] - INFO: Evaluate at epoch 3695! +[2024-06-10 12:08:02,017] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 12:08:02,018] - INFO: Eval (with pad) PSNR (current): 38.167 (3695) SSIM (current): 0.9615 (3695) +[2024-06-10 12:08:02,018] - INFO: Evaluation over. +[2024-06-10 12:08:27,320] - INFO: Epoch 3696/9999, Iter 184760: Loss = 0.016459178179502487, lr = [0.0001] +[2024-06-10 12:09:08,416] - INFO: Epoch 3696/9999, Iter 184780: Loss = 0.01343567669391632, lr = [0.0001] +[2024-06-10 12:09:47,278] - INFO: Epoch 3697/9999, Iter 184800: Loss = 0.009694796055555344, lr = [0.0001] +[2024-06-10 12:10:28,434] - INFO: Epoch 3697/9999, Iter 184820: Loss = 0.009071768261492252, lr = [0.0001] +[2024-06-10 12:11:08,609] - INFO: Epoch 3697/9999, Iter 184840: Loss = 0.011890305206179619, lr = [0.0001] +[2024-06-10 12:11:49,649] - INFO: Epoch 3698/9999, Iter 184860: Loss = 0.017071640118956566, lr = [0.0001] +[2024-06-10 12:12:29,681] - INFO: Epoch 3698/9999, Iter 184880: Loss = 0.01113876048475504, lr = [0.0001] +[2024-06-10 12:13:09,021] - INFO: Epoch 3699/9999, Iter 184900: Loss = 0.01528747845441103, lr = [0.0001] +[2024-06-10 12:13:48,417] - INFO: Epoch 3699/9999, Iter 184920: Loss = 0.013788469135761261, lr = [0.0001] +[2024-06-10 12:14:27,066] - INFO: Epoch 3699/9999, Iter 184940: Loss = 0.00971677154302597, lr = [0.0001] +[2024-06-10 12:15:08,129] - INFO: Epoch 3700/9999, Iter 184960: Loss = 0.012362552806735039, lr = [0.0001] +[2024-06-10 12:15:48,479] - INFO: Epoch 3700/9999, Iter 184980: Loss = 0.012043813243508339, lr = [0.0001] +[2024-06-10 12:16:24,052] - INFO: Evaluate at epoch 3700! +[2024-06-10 12:16:28,344] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 12:16:28,345] - INFO: Eval (with pad) PSNR (current): 38.190 (3700) SSIM (current): 0.9616 (3700) +[2024-06-10 12:16:28,345] - INFO: Evaluation over. +[2024-06-10 12:16:33,541] - INFO: Epoch 3701/9999, Iter 185000: Loss = 0.01717308536171913, lr = [0.0001] +[2024-06-10 12:17:13,393] - INFO: Epoch 3701/9999, Iter 185020: Loss = 0.008645354770123959, lr = [0.0001] +[2024-06-10 12:17:53,269] - INFO: Epoch 3701/9999, Iter 185040: Loss = 0.009924999438226223, lr = [0.0001] +[2024-06-10 12:18:34,556] - INFO: Epoch 3702/9999, Iter 185060: Loss = 0.009753922931849957, lr = [0.0001] +[2024-06-10 12:19:13,393] - INFO: Epoch 3702/9999, Iter 185080: Loss = 0.013287998735904694, lr = [0.0001] +[2024-06-10 12:19:52,126] - INFO: Epoch 3703/9999, Iter 185100: Loss = 0.008605899289250374, lr = [0.0001] +[2024-06-10 12:20:31,114] - INFO: Epoch 3703/9999, Iter 185120: Loss = 0.012212841771543026, lr = [0.0001] +[2024-06-10 12:21:10,480] - INFO: Epoch 3703/9999, Iter 185140: Loss = 0.009190252982079983, lr = [0.0001] +[2024-06-10 12:21:50,783] - INFO: Epoch 3704/9999, Iter 185160: Loss = 0.007692127488553524, lr = [0.0001] +[2024-06-10 12:22:32,010] - INFO: Epoch 3704/9999, Iter 185180: Loss = 0.010486333630979061, lr = [0.0001] +[2024-06-10 12:23:11,170] - INFO: Epoch 3705/9999, Iter 185200: Loss = 0.01514444500207901, lr = [0.0001] +[2024-06-10 12:23:52,436] - INFO: Epoch 3705/9999, Iter 185220: Loss = 0.009587334468960762, lr = [0.0001] +[2024-06-10 12:24:33,497] - INFO: Epoch 3705/9999, Iter 185240: Loss = 0.014405285939574242, lr = [0.0001] +[2024-06-10 12:24:49,023] - INFO: Evaluate at epoch 3705! +[2024-06-10 12:24:53,254] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 12:24:53,255] - INFO: Eval (with pad) PSNR (current): 38.169 (3705) SSIM (current): 0.9615 (3705) +[2024-06-10 12:24:53,255] - INFO: Evaluation over. +[2024-06-10 12:25:20,500] - INFO: Epoch 3706/9999, Iter 185260: Loss = 0.018103405833244324, lr = [0.0001] +[2024-06-10 12:25:59,409] - INFO: Epoch 3706/9999, Iter 185280: Loss = 0.009720353409647942, lr = [0.0001] +[2024-06-10 12:26:40,488] - INFO: Epoch 3707/9999, Iter 185300: Loss = 0.014684884808957577, lr = [0.0001] +[2024-06-10 12:27:19,179] - INFO: Epoch 3707/9999, Iter 185320: Loss = 0.012780750170350075, lr = [0.0001] +[2024-06-10 12:27:59,889] - INFO: Epoch 3707/9999, Iter 185340: Loss = 0.015201619826257229, lr = [0.0001] +[2024-06-10 12:28:41,540] - INFO: Epoch 3708/9999, Iter 185360: Loss = 0.018560197204351425, lr = [0.0001] +[2024-06-10 12:29:20,557] - INFO: Epoch 3708/9999, Iter 185380: Loss = 0.009296631440520287, lr = [0.0001] +[2024-06-10 12:30:01,309] - INFO: Epoch 3709/9999, Iter 185400: Loss = 0.01170001644641161, lr = [0.0001] +[2024-06-10 12:30:41,805] - INFO: Epoch 3709/9999, Iter 185420: Loss = 0.015892166644334793, lr = [0.0001] +[2024-06-10 12:31:21,276] - INFO: Epoch 3709/9999, Iter 185440: Loss = 0.01618608646094799, lr = [0.0001] +[2024-06-10 12:32:01,232] - INFO: Epoch 3710/9999, Iter 185460: Loss = 0.011727595701813698, lr = [0.0001] +[2024-06-10 12:32:42,148] - INFO: Epoch 3710/9999, Iter 185480: Loss = 0.011373652145266533, lr = [0.0001] +[2024-06-10 12:33:18,769] - INFO: Evaluate at epoch 3710! +[2024-06-10 12:33:22,997] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 12:33:22,997] - INFO: Eval (with pad) PSNR (current): 38.176 (3710) SSIM (current): 0.9614 (3710) +[2024-06-10 12:33:22,997] - INFO: Evaluation over. +[2024-06-10 12:33:28,644] - INFO: Epoch 3711/9999, Iter 185500: Loss = 0.009850068017840385, lr = [0.0001] +[2024-06-10 12:34:08,886] - INFO: Epoch 3711/9999, Iter 185520: Loss = 0.01063256710767746, lr = [0.0001] +[2024-06-10 12:34:47,517] - INFO: Epoch 3711/9999, Iter 185540: Loss = 0.015517160296440125, lr = [0.0001] +[2024-06-10 12:35:27,849] - INFO: Epoch 3712/9999, Iter 185560: Loss = 0.010601275600492954, lr = [0.0001] +[2024-06-10 12:36:08,373] - INFO: Epoch 3712/9999, Iter 185580: Loss = 0.01925952546298504, lr = [0.0001] +[2024-06-10 12:36:48,502] - INFO: Epoch 3713/9999, Iter 185600: Loss = 0.01913759857416153, lr = [0.0001] +[2024-06-10 12:37:29,095] - INFO: Epoch 3713/9999, Iter 185620: Loss = 0.014894585125148296, lr = [0.0001] +[2024-06-10 12:38:09,355] - INFO: Epoch 3713/9999, Iter 185640: Loss = 0.011629987508058548, lr = [0.0001] +[2024-06-10 12:38:49,577] - INFO: Epoch 3714/9999, Iter 185660: Loss = 0.013102483935654163, lr = [0.0001] +[2024-06-10 12:39:29,148] - INFO: Epoch 3714/9999, Iter 185680: Loss = 0.015459886752068996, lr = [0.0001] +[2024-06-10 12:40:08,824] - INFO: Epoch 3715/9999, Iter 185700: Loss = 0.021050920709967613, lr = [0.0001] +[2024-06-10 12:40:49,702] - INFO: Epoch 3715/9999, Iter 185720: Loss = 0.012121505104005337, lr = [0.0001] +[2024-06-10 12:41:29,733] - INFO: Epoch 3715/9999, Iter 185740: Loss = 0.010814464651048183, lr = [0.0001] +[2024-06-10 12:41:44,950] - INFO: Evaluate at epoch 3715! +[2024-06-10 12:41:49,138] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 12:41:49,139] - INFO: Eval (with pad) PSNR (current): 38.151 (3715) SSIM (current): 0.9613 (3715) +[2024-06-10 12:41:49,139] - INFO: Evaluation over. +[2024-06-10 12:42:15,103] - INFO: Epoch 3716/9999, Iter 185760: Loss = 0.01168283075094223, lr = [0.0001] +[2024-06-10 12:42:54,722] - INFO: Epoch 3716/9999, Iter 185780: Loss = 0.011296073906123638, lr = [0.0001] +[2024-06-10 12:43:34,956] - INFO: Epoch 3717/9999, Iter 185800: Loss = 0.012009650468826294, lr = [0.0001] +[2024-06-10 12:44:17,227] - INFO: Epoch 3717/9999, Iter 185820: Loss = 0.011347931809723377, lr = [0.0001] +[2024-06-10 12:44:57,030] - INFO: Epoch 3717/9999, Iter 185840: Loss = 0.010869489051401615, lr = [0.0001] +[2024-06-10 12:45:37,653] - INFO: Epoch 3718/9999, Iter 185860: Loss = 0.013657298870384693, lr = [0.0001] +[2024-06-10 12:46:17,498] - INFO: Epoch 3718/9999, Iter 185880: Loss = 0.013809065334498882, lr = [0.0001] +[2024-06-10 12:46:57,330] - INFO: Epoch 3719/9999, Iter 185900: Loss = 0.013776296749711037, lr = [0.0001] +[2024-06-10 12:47:36,135] - INFO: Epoch 3719/9999, Iter 185920: Loss = 0.010791626758873463, lr = [0.0001] +[2024-06-10 12:48:15,303] - INFO: Epoch 3719/9999, Iter 185940: Loss = 0.0184625294059515, lr = [0.0001] +[2024-06-10 12:48:58,133] - INFO: Epoch 3720/9999, Iter 185960: Loss = 0.014516145922243595, lr = [0.0001] +[2024-06-10 12:49:37,090] - INFO: Epoch 3720/9999, Iter 185980: Loss = 0.014662646688520908, lr = [0.0001] +[2024-06-10 12:50:12,727] - INFO: Evaluate at epoch 3720! +[2024-06-10 12:50:16,930] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 12:50:16,930] - INFO: Eval (with pad) PSNR (current): 38.171 (3720) SSIM (current): 0.9615 (3720) +[2024-06-10 12:50:16,931] - INFO: Evaluation over. +[2024-06-10 12:50:22,574] - INFO: Epoch 3721/9999, Iter 186000: Loss = 0.01493912748992443, lr = [0.0001] +[2024-06-10 12:51:04,481] - INFO: Epoch 3721/9999, Iter 186020: Loss = 0.011868951842188835, lr = [0.0001] +[2024-06-10 12:51:43,944] - INFO: Epoch 3721/9999, Iter 186040: Loss = 0.013195890001952648, lr = [0.0001] +[2024-06-10 12:52:23,113] - INFO: Epoch 3722/9999, Iter 186060: Loss = 0.011828005313873291, lr = [0.0001] +[2024-06-10 12:53:01,300] - INFO: Epoch 3722/9999, Iter 186080: Loss = 0.008081398904323578, lr = [0.0001] +[2024-06-10 12:53:41,944] - INFO: Epoch 3723/9999, Iter 186100: Loss = 0.01458920631557703, lr = [0.0001] +[2024-06-10 12:54:23,030] - INFO: Epoch 3723/9999, Iter 186120: Loss = 0.013305812142789364, lr = [0.0001] +[2024-06-10 12:55:03,337] - INFO: Epoch 3723/9999, Iter 186140: Loss = 0.014928735792636871, lr = [0.0001] +[2024-06-10 12:55:43,882] - INFO: Epoch 3724/9999, Iter 186160: Loss = 0.011298573575913906, lr = [0.0001] +[2024-06-10 12:56:25,002] - INFO: Epoch 3724/9999, Iter 186180: Loss = 0.010827970691025257, lr = [0.0001] +[2024-06-10 12:57:04,372] - INFO: Epoch 3725/9999, Iter 186200: Loss = 0.015286446548998356, lr = [0.0001] +[2024-06-10 12:57:46,465] - INFO: Epoch 3725/9999, Iter 186220: Loss = 0.010903757996857166, lr = [0.0001] +[2024-06-10 12:58:25,680] - INFO: Epoch 3725/9999, Iter 186240: Loss = 0.008441372774541378, lr = [0.0001] +[2024-06-10 12:58:41,393] - INFO: Evaluate at epoch 3725! +[2024-06-10 12:58:45,548] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 12:58:45,548] - INFO: Eval (with pad) PSNR (current): 38.156 (3725) SSIM (current): 0.9614 (3725) +[2024-06-10 12:58:45,549] - INFO: Evaluation over. +[2024-06-10 12:59:12,056] - INFO: Epoch 3726/9999, Iter 186260: Loss = 0.009088220074772835, lr = [0.0001] +[2024-06-10 12:59:53,403] - INFO: Epoch 3726/9999, Iter 186280: Loss = 0.009327630512416363, lr = [0.0001] +[2024-06-10 13:00:33,358] - INFO: Epoch 3727/9999, Iter 186300: Loss = 0.009389323182404041, lr = [0.0001] +[2024-06-10 13:01:15,032] - INFO: Epoch 3727/9999, Iter 186320: Loss = 0.00964898057281971, lr = [0.0001] +[2024-06-10 13:01:54,875] - INFO: Epoch 3727/9999, Iter 186340: Loss = 0.01679980382323265, lr = [0.0001] +[2024-06-10 13:02:35,353] - INFO: Epoch 3728/9999, Iter 186360: Loss = 0.01432044431567192, lr = [0.0001] +[2024-06-10 13:03:16,811] - INFO: Epoch 3728/9999, Iter 186380: Loss = 0.011766617186367512, lr = [0.0001] +[2024-06-10 13:03:57,301] - INFO: Epoch 3729/9999, Iter 186400: Loss = 0.012251973152160645, lr = [0.0001] +[2024-06-10 13:04:36,692] - INFO: Epoch 3729/9999, Iter 186420: Loss = 0.014703059569001198, lr = [0.0001] +[2024-06-10 13:05:16,836] - INFO: Epoch 3729/9999, Iter 186440: Loss = 0.01025369018316269, lr = [0.0001] +[2024-06-10 13:05:57,761] - INFO: Epoch 3730/9999, Iter 186460: Loss = 0.01589232124388218, lr = [0.0001] +[2024-06-10 13:06:37,777] - INFO: Epoch 3730/9999, Iter 186480: Loss = 0.013713693246245384, lr = [0.0001] +[2024-06-10 13:07:13,637] - INFO: Evaluate at epoch 3730! +[2024-06-10 13:07:17,960] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 13:07:17,960] - INFO: Eval (with pad) PSNR (current): 38.210 (3730) SSIM (current): 0.9614 (3730) +[2024-06-10 13:07:17,960] - INFO: Evaluation over. +[2024-06-10 13:07:23,865] - INFO: Epoch 3731/9999, Iter 186500: Loss = 0.008067475631833076, lr = [0.0001] +[2024-06-10 13:08:03,467] - INFO: Epoch 3731/9999, Iter 186520: Loss = 0.011870232410728931, lr = [0.0001] +[2024-06-10 13:08:42,340] - INFO: Epoch 3731/9999, Iter 186540: Loss = 0.013239328749477863, lr = [0.0001] +[2024-06-10 13:09:22,856] - INFO: Epoch 3732/9999, Iter 186560: Loss = 0.018424177542328835, lr = [0.0001] +[2024-06-10 13:10:02,093] - INFO: Epoch 3732/9999, Iter 186580: Loss = 0.012884784489870071, lr = [0.0001] +[2024-06-10 13:10:41,336] - INFO: Epoch 3733/9999, Iter 186600: Loss = 0.016850315034389496, lr = [0.0001] +[2024-06-10 13:11:21,522] - INFO: Epoch 3733/9999, Iter 186620: Loss = 0.009143541567027569, lr = [0.0001] +[2024-06-10 13:12:00,151] - INFO: Epoch 3733/9999, Iter 186640: Loss = 0.01117696799337864, lr = [0.0001] +[2024-06-10 13:12:41,005] - INFO: Epoch 3734/9999, Iter 186660: Loss = 0.011228980496525764, lr = [0.0001] +[2024-06-10 13:13:22,250] - INFO: Epoch 3734/9999, Iter 186680: Loss = 0.010871803387999535, lr = [0.0001] +[2024-06-10 13:14:01,956] - INFO: Epoch 3735/9999, Iter 186700: Loss = 0.012072163634002209, lr = [0.0001] +[2024-06-10 13:14:41,939] - INFO: Epoch 3735/9999, Iter 186720: Loss = 0.009189281612634659, lr = [0.0001] +[2024-06-10 13:15:23,232] - INFO: Epoch 3735/9999, Iter 186740: Loss = 0.015797395259141922, lr = [0.0001] +[2024-06-10 13:15:39,086] - INFO: Evaluate at epoch 3735! +[2024-06-10 13:15:43,204] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 13:15:43,204] - INFO: Eval (with pad) PSNR (current): 38.137 (3735) SSIM (current): 0.9614 (3735) +[2024-06-10 13:15:43,204] - INFO: Evaluation over. +[2024-06-10 13:16:11,412] - INFO: Epoch 3736/9999, Iter 186760: Loss = 0.01847675070166588, lr = [0.0001] +[2024-06-10 13:16:49,951] - INFO: Epoch 3736/9999, Iter 186780: Loss = 0.017291340976953506, lr = [0.0001] +[2024-06-10 13:17:30,162] - INFO: Epoch 3737/9999, Iter 186800: Loss = 0.015926701948046684, lr = [0.0001] +[2024-06-10 13:18:11,593] - INFO: Epoch 3737/9999, Iter 186820: Loss = 0.0103414012119174, lr = [0.0001] +[2024-06-10 13:18:53,544] - INFO: Epoch 3737/9999, Iter 186840: Loss = 0.01364363357424736, lr = [0.0001] +[2024-06-10 13:19:33,317] - INFO: Epoch 3738/9999, Iter 186860: Loss = 0.01014204602688551, lr = [0.0001] +[2024-06-10 13:20:11,844] - INFO: Epoch 3738/9999, Iter 186880: Loss = 0.012103068642318249, lr = [0.0001] +[2024-06-10 13:20:50,264] - INFO: Epoch 3739/9999, Iter 186900: Loss = 0.018216177821159363, lr = [0.0001] +[2024-06-10 13:21:32,662] - INFO: Epoch 3739/9999, Iter 186920: Loss = 0.012665050104260445, lr = [0.0001] +[2024-06-10 13:22:11,279] - INFO: Epoch 3739/9999, Iter 186940: Loss = 0.008669409900903702, lr = [0.0001] +[2024-06-10 13:22:51,442] - INFO: Epoch 3740/9999, Iter 186960: Loss = 0.013488013297319412, lr = [0.0001] +[2024-06-10 13:23:31,751] - INFO: Epoch 3740/9999, Iter 186980: Loss = 0.013123314827680588, lr = [0.0001] +[2024-06-10 13:24:06,564] - INFO: Evaluate at epoch 3740! +[2024-06-10 13:24:10,910] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 13:24:10,910] - INFO: Eval (with pad) PSNR (current): 38.206 (3740) SSIM (current): 0.9614 (3740) +[2024-06-10 13:24:10,910] - INFO: Evaluation over. +[2024-06-10 13:24:16,480] - INFO: Epoch 3741/9999, Iter 187000: Loss = 0.013155360706150532, lr = [0.0001] +[2024-06-10 13:24:58,115] - INFO: Epoch 3741/9999, Iter 187020: Loss = 0.010824513621628284, lr = [0.0001] +[2024-06-10 13:25:36,507] - INFO: Epoch 3741/9999, Iter 187040: Loss = 0.011718659661710262, lr = [0.0001] +[2024-06-10 13:26:16,664] - INFO: Epoch 3742/9999, Iter 187060: Loss = 0.011311711743474007, lr = [0.0001] +[2024-06-10 13:26:56,885] - INFO: Epoch 3742/9999, Iter 187080: Loss = 0.013447755947709084, lr = [0.0001] +[2024-06-10 13:27:36,625] - INFO: Epoch 3743/9999, Iter 187100: Loss = 0.012016301043331623, lr = [0.0001] +[2024-06-10 13:28:18,102] - INFO: Epoch 3743/9999, Iter 187120: Loss = 0.01159125380218029, lr = [0.0001] +[2024-06-10 13:28:59,573] - INFO: Epoch 3743/9999, Iter 187140: Loss = 0.008573544211685658, lr = [0.0001] +[2024-06-10 13:29:39,522] - INFO: Epoch 3744/9999, Iter 187160: Loss = 0.010888708755373955, lr = [0.0001] +[2024-06-10 13:30:20,237] - INFO: Epoch 3744/9999, Iter 187180: Loss = 0.011446766555309296, lr = [0.0001] +[2024-06-10 13:30:59,669] - INFO: Epoch 3745/9999, Iter 187200: Loss = 0.008360792882740498, lr = [0.0001] +[2024-06-10 13:31:41,069] - INFO: Epoch 3745/9999, Iter 187220: Loss = 0.016751689836382866, lr = [0.0001] +[2024-06-10 13:32:21,747] - INFO: Epoch 3745/9999, Iter 187240: Loss = 0.008365570567548275, lr = [0.0001] +[2024-06-10 13:32:37,815] - INFO: Evaluate at epoch 3745! +[2024-06-10 13:32:42,061] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 13:32:42,061] - INFO: Eval (with pad) PSNR (current): 38.154 (3745) SSIM (current): 0.9613 (3745) +[2024-06-10 13:32:42,061] - INFO: Evaluation over. +[2024-06-10 13:33:07,936] - INFO: Epoch 3746/9999, Iter 187260: Loss = 0.006572260987013578, lr = [0.0001] +[2024-06-10 13:33:47,602] - INFO: Epoch 3746/9999, Iter 187280: Loss = 0.015380524098873138, lr = [0.0001] +[2024-06-10 13:34:27,615] - INFO: Epoch 3747/9999, Iter 187300: Loss = 0.010729045607149601, lr = [0.0001] +[2024-06-10 13:35:09,211] - INFO: Epoch 3747/9999, Iter 187320: Loss = 0.01250527799129486, lr = [0.0001] +[2024-06-10 13:35:48,640] - INFO: Epoch 3747/9999, Iter 187340: Loss = 0.012149084359407425, lr = [0.0001] +[2024-06-10 13:36:30,113] - INFO: Epoch 3748/9999, Iter 187360: Loss = 0.011242424137890339, lr = [0.0001] +[2024-06-10 13:37:10,783] - INFO: Epoch 3748/9999, Iter 187380: Loss = 0.01381861325353384, lr = [0.0001] +[2024-06-10 13:37:50,112] - INFO: Epoch 3749/9999, Iter 187400: Loss = 0.011484753340482712, lr = [0.0001] +[2024-06-10 13:38:31,941] - INFO: Epoch 3749/9999, Iter 187420: Loss = 0.0143966656178236, lr = [0.0001] +[2024-06-10 13:39:12,812] - INFO: Epoch 3749/9999, Iter 187440: Loss = 0.010558624751865864, lr = [0.0001] +[2024-06-10 13:39:51,206] - INFO: Epoch 3750/9999, Iter 187460: Loss = 0.013207249343395233, lr = [0.0001] +[2024-06-10 13:40:29,579] - INFO: Epoch 3750/9999, Iter 187480: Loss = 0.013297335244715214, lr = [0.0001] +[2024-06-10 13:41:03,762] - INFO: Evaluate at epoch 3750! +[2024-06-10 13:41:08,168] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 13:41:08,168] - INFO: Eval (with pad) PSNR (current): 38.187 (3750) SSIM (current): 0.9614 (3750) +[2024-06-10 13:41:08,168] - INFO: Evaluation over. +[2024-06-10 13:41:13,532] - INFO: Epoch 3751/9999, Iter 187500: Loss = 0.009862885810434818, lr = [0.0001] +[2024-06-10 13:41:54,114] - INFO: Epoch 3751/9999, Iter 187520: Loss = 0.011837144382297993, lr = [0.0001] +[2024-06-10 13:42:33,962] - INFO: Epoch 3751/9999, Iter 187540: Loss = 0.010045462287962437, lr = [0.0001] +[2024-06-10 13:43:14,302] - INFO: Epoch 3752/9999, Iter 187560: Loss = 0.013876407407224178, lr = [0.0001] +[2024-06-10 13:43:55,202] - INFO: Epoch 3752/9999, Iter 187580: Loss = 0.011420494876801968, lr = [0.0001] +[2024-06-10 13:44:34,647] - INFO: Epoch 3753/9999, Iter 187600: Loss = 0.01163644902408123, lr = [0.0001] +[2024-06-10 13:45:15,921] - INFO: Epoch 3753/9999, Iter 187620: Loss = 0.009030424058437347, lr = [0.0001] +[2024-06-10 13:45:56,610] - INFO: Epoch 3753/9999, Iter 187640: Loss = 0.016494855284690857, lr = [0.0001] +[2024-06-10 13:46:37,739] - INFO: Epoch 3754/9999, Iter 187660: Loss = 0.011561296880245209, lr = [0.0001] +[2024-06-10 13:47:18,401] - INFO: Epoch 3754/9999, Iter 187680: Loss = 0.011372247710824013, lr = [0.0001] +[2024-06-10 13:47:57,005] - INFO: Epoch 3755/9999, Iter 187700: Loss = 0.008935206569731236, lr = [0.0001] +[2024-06-10 13:48:39,446] - INFO: Epoch 3755/9999, Iter 187720: Loss = 0.01341735478490591, lr = [0.0001] +[2024-06-10 13:49:19,591] - INFO: Epoch 3755/9999, Iter 187740: Loss = 0.01146688312292099, lr = [0.0001] +[2024-06-10 13:49:35,515] - INFO: Evaluate at epoch 3755! +[2024-06-10 13:49:39,635] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 13:49:39,635] - INFO: Eval (with pad) PSNR (current): 38.195 (3755) SSIM (current): 0.9615 (3755) +[2024-06-10 13:49:39,635] - INFO: Evaluation over. +[2024-06-10 13:50:04,268] - INFO: Epoch 3756/9999, Iter 187760: Loss = 0.020397409796714783, lr = [0.0001] +[2024-06-10 13:50:45,574] - INFO: Epoch 3756/9999, Iter 187780: Loss = 0.008597462438046932, lr = [0.0001] +[2024-06-10 13:51:26,001] - INFO: Epoch 3757/9999, Iter 187800: Loss = 0.007209568750113249, lr = [0.0001] +[2024-06-10 13:52:05,849] - INFO: Epoch 3757/9999, Iter 187820: Loss = 0.010528216138482094, lr = [0.0001] +[2024-06-10 13:52:46,033] - INFO: Epoch 3757/9999, Iter 187840: Loss = 0.016207583248615265, lr = [0.0001] +[2024-06-10 13:53:26,083] - INFO: Epoch 3758/9999, Iter 187860: Loss = 0.016503775492310524, lr = [0.0001] +[2024-06-10 13:54:05,726] - INFO: Epoch 3758/9999, Iter 187880: Loss = 0.010128630325198174, lr = [0.0001] +[2024-06-10 13:54:45,946] - INFO: Epoch 3759/9999, Iter 187900: Loss = 0.009205562993884087, lr = [0.0001] +[2024-06-10 13:55:26,343] - INFO: Epoch 3759/9999, Iter 187920: Loss = 0.015267370268702507, lr = [0.0001] +[2024-06-10 13:56:04,935] - INFO: Epoch 3759/9999, Iter 187940: Loss = 0.013819885440170765, lr = [0.0001] +[2024-06-10 13:56:46,038] - INFO: Epoch 3760/9999, Iter 187960: Loss = 0.01042947918176651, lr = [0.0001] +[2024-06-10 13:57:26,161] - INFO: Epoch 3760/9999, Iter 187980: Loss = 0.009633825160562992, lr = [0.0001] +[2024-06-10 13:58:00,788] - INFO: Evaluate at epoch 3760! +[2024-06-10 13:58:04,977] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 13:58:04,978] - INFO: Eval (with pad) PSNR (current): 38.173 (3760) SSIM (current): 0.9614 (3760) +[2024-06-10 13:58:04,978] - INFO: Evaluation over. +[2024-06-10 13:58:10,449] - INFO: Epoch 3761/9999, Iter 188000: Loss = 0.010300730355083942, lr = [0.0001] +[2024-06-10 13:58:50,917] - INFO: Epoch 3761/9999, Iter 188020: Loss = 0.008352664299309254, lr = [0.0001] +[2024-06-10 13:59:31,951] - INFO: Epoch 3761/9999, Iter 188040: Loss = 0.012490557506680489, lr = [0.0001] +[2024-06-10 14:00:12,547] - INFO: Epoch 3762/9999, Iter 188060: Loss = 0.01532834768295288, lr = [0.0001] +[2024-06-10 14:00:52,406] - INFO: Epoch 3762/9999, Iter 188080: Loss = 0.013737155124545097, lr = [0.0001] +[2024-06-10 14:01:33,262] - INFO: Epoch 3763/9999, Iter 188100: Loss = 0.017366312444210052, lr = [0.0001] +[2024-06-10 14:02:13,373] - INFO: Epoch 3763/9999, Iter 188120: Loss = 0.009924218989908695, lr = [0.0001] +[2024-06-10 14:02:53,256] - INFO: Epoch 3763/9999, Iter 188140: Loss = 0.018306348472833633, lr = [0.0001] +[2024-06-10 14:03:33,054] - INFO: Epoch 3764/9999, Iter 188160: Loss = 0.018018176779150963, lr = [0.0001] +[2024-06-10 14:04:13,596] - INFO: Epoch 3764/9999, Iter 188180: Loss = 0.017774512991309166, lr = [0.0001] +[2024-06-10 14:04:54,175] - INFO: Epoch 3765/9999, Iter 188200: Loss = 0.00886306632310152, lr = [0.0001] +[2024-06-10 14:05:37,709] - INFO: Epoch 3765/9999, Iter 188220: Loss = 0.01281802449375391, lr = [0.0001] +[2024-06-10 14:06:17,161] - INFO: Epoch 3765/9999, Iter 188240: Loss = 0.011634049005806446, lr = [0.0001] +[2024-06-10 14:06:33,092] - INFO: Evaluate at epoch 3765! +[2024-06-10 14:06:37,360] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 14:06:37,360] - INFO: Eval (with pad) PSNR (current): 38.207 (3765) SSIM (current): 0.9615 (3765) +[2024-06-10 14:06:37,360] - INFO: Evaluation over. +[2024-06-10 14:07:03,114] - INFO: Epoch 3766/9999, Iter 188260: Loss = 0.007769975811243057, lr = [0.0001] +[2024-06-10 14:07:43,788] - INFO: Epoch 3766/9999, Iter 188280: Loss = 0.012829736806452274, lr = [0.0001] +[2024-06-10 14:08:23,153] - INFO: Epoch 3767/9999, Iter 188300: Loss = 0.014064459130167961, lr = [0.0001] +[2024-06-10 14:09:03,244] - INFO: Epoch 3767/9999, Iter 188320: Loss = 0.01256110705435276, lr = [0.0001] +[2024-06-10 14:09:43,146] - INFO: Epoch 3767/9999, Iter 188340: Loss = 0.01762310042977333, lr = [0.0001] +[2024-06-10 14:10:23,937] - INFO: Epoch 3768/9999, Iter 188360: Loss = 0.014387223869562149, lr = [0.0001] +[2024-06-10 14:11:02,866] - INFO: Epoch 3768/9999, Iter 188380: Loss = 0.011324793100357056, lr = [0.0001] +[2024-06-10 14:11:42,577] - INFO: Epoch 3769/9999, Iter 188400: Loss = 0.010657940059900284, lr = [0.0001] +[2024-06-10 14:12:24,580] - INFO: Epoch 3769/9999, Iter 188420: Loss = 0.011726761236786842, lr = [0.0001] +[2024-06-10 14:13:02,991] - INFO: Epoch 3769/9999, Iter 188440: Loss = 0.010519366711378098, lr = [0.0001] +[2024-06-10 14:13:43,323] - INFO: Epoch 3770/9999, Iter 188460: Loss = 0.010936964303255081, lr = [0.0001] +[2024-06-10 14:14:24,054] - INFO: Epoch 3770/9999, Iter 188480: Loss = 0.011262776330113411, lr = [0.0001] +[2024-06-10 14:15:01,175] - INFO: Evaluate at epoch 3770! +[2024-06-10 14:15:05,443] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 14:15:05,444] - INFO: Eval (with pad) PSNR (current): 38.192 (3770) SSIM (current): 0.9615 (3770) +[2024-06-10 14:15:05,444] - INFO: Evaluation over. +[2024-06-10 14:15:11,292] - INFO: Epoch 3771/9999, Iter 188500: Loss = 0.008959664963185787, lr = [0.0001] +[2024-06-10 14:15:51,024] - INFO: Epoch 3771/9999, Iter 188520: Loss = 0.016146304085850716, lr = [0.0001] +[2024-06-10 14:16:30,861] - INFO: Epoch 3771/9999, Iter 188540: Loss = 0.014240322634577751, lr = [0.0001] +[2024-06-10 14:17:12,418] - INFO: Epoch 3772/9999, Iter 188560: Loss = 0.009377900511026382, lr = [0.0001] +[2024-06-10 14:17:52,197] - INFO: Epoch 3772/9999, Iter 188580: Loss = 0.017550788819789886, lr = [0.0001] +[2024-06-10 14:18:31,478] - INFO: Epoch 3773/9999, Iter 188600: Loss = 0.01610330492258072, lr = [0.0001] +[2024-06-10 14:19:12,320] - INFO: Epoch 3773/9999, Iter 188620: Loss = 0.012376991100609303, lr = [0.0001] +[2024-06-10 14:19:52,728] - INFO: Epoch 3773/9999, Iter 188640: Loss = 0.015065650455653667, lr = [0.0001] +[2024-06-10 14:20:34,191] - INFO: Epoch 3774/9999, Iter 188660: Loss = 0.010704167187213898, lr = [0.0001] +[2024-06-10 14:21:14,469] - INFO: Epoch 3774/9999, Iter 188680: Loss = 0.014778181910514832, lr = [0.0001] +[2024-06-10 14:21:53,709] - INFO: Epoch 3775/9999, Iter 188700: Loss = 0.01850280910730362, lr = [0.0001] +[2024-06-10 14:22:34,378] - INFO: Epoch 3775/9999, Iter 188720: Loss = 0.015481856651604176, lr = [0.0001] +[2024-06-10 14:23:15,120] - INFO: Epoch 3775/9999, Iter 188740: Loss = 0.014952434226870537, lr = [0.0001] +[2024-06-10 14:23:30,239] - INFO: Evaluate at epoch 3775! +[2024-06-10 14:23:34,660] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 14:23:34,661] - INFO: Eval (with pad) PSNR (current): 38.136 (3775) SSIM (current): 0.9614 (3775) +[2024-06-10 14:23:34,661] - INFO: Evaluation over. +[2024-06-10 14:23:59,384] - INFO: Epoch 3776/9999, Iter 188760: Loss = 0.019073305651545525, lr = [0.0001] +[2024-06-10 14:24:40,616] - INFO: Epoch 3776/9999, Iter 188780: Loss = 0.007876074872910976, lr = [0.0001] +[2024-06-10 14:25:20,991] - INFO: Epoch 3777/9999, Iter 188800: Loss = 0.007818901911377907, lr = [0.0001] +[2024-06-10 14:26:02,689] - INFO: Epoch 3777/9999, Iter 188820: Loss = 0.007088055368512869, lr = [0.0001] +[2024-06-10 14:26:42,262] - INFO: Epoch 3777/9999, Iter 188840: Loss = 0.011270171962678432, lr = [0.0001] +[2024-06-10 14:27:22,700] - INFO: Epoch 3778/9999, Iter 188860: Loss = 0.010400356724858284, lr = [0.0001] +[2024-06-10 14:28:03,543] - INFO: Epoch 3778/9999, Iter 188880: Loss = 0.014921008609235287, lr = [0.0001] +[2024-06-10 14:28:43,223] - INFO: Epoch 3779/9999, Iter 188900: Loss = 0.01601952128112316, lr = [0.0001] +[2024-06-10 14:29:23,847] - INFO: Epoch 3779/9999, Iter 188920: Loss = 0.010996220633387566, lr = [0.0001] +[2024-06-10 14:30:04,844] - INFO: Epoch 3779/9999, Iter 188940: Loss = 0.008561255410313606, lr = [0.0001] +[2024-06-10 14:30:46,296] - INFO: Epoch 3780/9999, Iter 188960: Loss = 0.01579514890909195, lr = [0.0001] +[2024-06-10 14:31:25,454] - INFO: Epoch 3780/9999, Iter 188980: Loss = 0.019045738503336906, lr = [0.0001] +[2024-06-10 14:32:01,338] - INFO: Evaluate at epoch 3780! +[2024-06-10 14:32:05,620] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 14:32:05,620] - INFO: Eval (with pad) PSNR (current): 38.176 (3780) SSIM (current): 0.9614 (3780) +[2024-06-10 14:32:05,620] - INFO: Evaluation over. +[2024-06-10 14:32:11,146] - INFO: Epoch 3781/9999, Iter 189000: Loss = 0.015163983218371868, lr = [0.0001] +[2024-06-10 14:32:53,814] - INFO: Epoch 3781/9999, Iter 189020: Loss = 0.01301044225692749, lr = [0.0001] +[2024-06-10 14:33:34,096] - INFO: Epoch 3781/9999, Iter 189040: Loss = 0.01042302418500185, lr = [0.0001] +[2024-06-10 14:34:14,371] - INFO: Epoch 3782/9999, Iter 189060: Loss = 0.014965420588850975, lr = [0.0001] +[2024-06-10 14:34:55,024] - INFO: Epoch 3782/9999, Iter 189080: Loss = 0.015912510454654694, lr = [0.0001] +[2024-06-10 14:35:35,492] - INFO: Epoch 3783/9999, Iter 189100: Loss = 0.010091603733599186, lr = [0.0001] +[2024-06-10 14:36:16,950] - INFO: Epoch 3783/9999, Iter 189120: Loss = 0.02126084454357624, lr = [0.0001] +[2024-06-10 14:36:57,955] - INFO: Epoch 3783/9999, Iter 189140: Loss = 0.015306691639125347, lr = [0.0001] +[2024-06-10 14:37:39,924] - INFO: Epoch 3784/9999, Iter 189160: Loss = 0.011684326454997063, lr = [0.0001] +[2024-06-10 14:38:21,127] - INFO: Epoch 3784/9999, Iter 189180: Loss = 0.01146253477782011, lr = [0.0001] +[2024-06-10 14:39:01,002] - INFO: Epoch 3785/9999, Iter 189200: Loss = 0.013381747528910637, lr = [0.0001] +[2024-06-10 14:39:41,720] - INFO: Epoch 3785/9999, Iter 189220: Loss = 0.007939641363918781, lr = [0.0001] +[2024-06-10 14:40:20,834] - INFO: Epoch 3785/9999, Iter 189240: Loss = 0.011177039705216885, lr = [0.0001] +[2024-06-10 14:40:36,542] - INFO: Evaluate at epoch 3785! +[2024-06-10 14:40:40,901] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 14:40:40,901] - INFO: Eval (with pad) PSNR (current): 38.105 (3785) SSIM (current): 0.9614 (3785) +[2024-06-10 14:40:40,901] - INFO: Evaluation over. +[2024-06-10 14:41:06,664] - INFO: Epoch 3786/9999, Iter 189260: Loss = 0.014414471574127674, lr = [0.0001] +[2024-06-10 14:41:47,377] - INFO: Epoch 3786/9999, Iter 189280: Loss = 0.01106688566505909, lr = [0.0001] +[2024-06-10 14:42:26,540] - INFO: Epoch 3787/9999, Iter 189300: Loss = 0.016130894422531128, lr = [0.0001] +[2024-06-10 14:43:07,604] - INFO: Epoch 3787/9999, Iter 189320: Loss = 0.01801779307425022, lr = [0.0001] +[2024-06-10 14:43:48,892] - INFO: Epoch 3787/9999, Iter 189340: Loss = 0.009183648973703384, lr = [0.0001] +[2024-06-10 14:44:27,986] - INFO: Epoch 3788/9999, Iter 189360: Loss = 0.010406209155917168, lr = [0.0001] +[2024-06-10 14:45:06,940] - INFO: Epoch 3788/9999, Iter 189380: Loss = 0.015064970590174198, lr = [0.0001] +[2024-06-10 14:45:46,949] - INFO: Epoch 3789/9999, Iter 189400: Loss = 0.008182073011994362, lr = [0.0001] +[2024-06-10 14:46:27,567] - INFO: Epoch 3789/9999, Iter 189420: Loss = 0.013009283691644669, lr = [0.0001] +[2024-06-10 14:47:06,680] - INFO: Epoch 3789/9999, Iter 189440: Loss = 0.010882995091378689, lr = [0.0001] +[2024-06-10 14:47:47,138] - INFO: Epoch 3790/9999, Iter 189460: Loss = 0.01339771132916212, lr = [0.0001] +[2024-06-10 14:48:26,145] - INFO: Epoch 3790/9999, Iter 189480: Loss = 0.01990424282848835, lr = [0.0001] +[2024-06-10 14:49:00,686] - INFO: Evaluate at epoch 3790! +[2024-06-10 14:49:05,210] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 14:49:05,211] - INFO: Eval (with pad) PSNR (current): 38.184 (3790) SSIM (current): 0.9615 (3790) +[2024-06-10 14:49:05,211] - INFO: Evaluation over. +[2024-06-10 14:49:10,616] - INFO: Epoch 3791/9999, Iter 189500: Loss = 0.008101683109998703, lr = [0.0001] +[2024-06-10 14:49:52,718] - INFO: Epoch 3791/9999, Iter 189520: Loss = 0.016733581200242043, lr = [0.0001] +[2024-06-10 14:50:33,278] - INFO: Epoch 3791/9999, Iter 189540: Loss = 0.014375227503478527, lr = [0.0001] +[2024-06-10 14:51:14,256] - INFO: Epoch 3792/9999, Iter 189560: Loss = 0.011365323327481747, lr = [0.0001] +[2024-06-10 14:51:55,215] - INFO: Epoch 3792/9999, Iter 189580: Loss = 0.007689387071877718, lr = [0.0001] +[2024-06-10 14:52:33,865] - INFO: Epoch 3793/9999, Iter 189600: Loss = 0.007200623396784067, lr = [0.0001] +[2024-06-10 14:53:16,127] - INFO: Epoch 3793/9999, Iter 189620: Loss = 0.015099302865564823, lr = [0.0001] +[2024-06-10 14:53:55,205] - INFO: Epoch 3793/9999, Iter 189640: Loss = 0.011078090406954288, lr = [0.0001] +[2024-06-10 14:54:36,437] - INFO: Epoch 3794/9999, Iter 189660: Loss = 0.011042875237762928, lr = [0.0001] +[2024-06-10 14:55:16,699] - INFO: Epoch 3794/9999, Iter 189680: Loss = 0.007434304337948561, lr = [0.0001] +[2024-06-10 14:55:55,690] - INFO: Epoch 3795/9999, Iter 189700: Loss = 0.011593475937843323, lr = [0.0001] +[2024-06-10 14:56:37,413] - INFO: Epoch 3795/9999, Iter 189720: Loss = 0.010834860615432262, lr = [0.0001] +[2024-06-10 14:57:17,529] - INFO: Epoch 3795/9999, Iter 189740: Loss = 0.013170783407986164, lr = [0.0001] +[2024-06-10 14:57:33,849] - INFO: Evaluate at epoch 3795! +[2024-06-10 14:57:38,483] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 14:57:38,483] - INFO: Eval (with pad) PSNR (current): 38.175 (3795) SSIM (current): 0.9615 (3795) +[2024-06-10 14:57:38,483] - INFO: Evaluation over. +[2024-06-10 14:58:04,085] - INFO: Epoch 3796/9999, Iter 189760: Loss = 0.010573779232800007, lr = [0.0001] +[2024-06-10 14:58:44,076] - INFO: Epoch 3796/9999, Iter 189780: Loss = 0.02233961969614029, lr = [0.0001] +[2024-06-10 14:59:24,864] - INFO: Epoch 3797/9999, Iter 189800: Loss = 0.012752769514918327, lr = [0.0001] +[2024-06-10 15:00:06,454] - INFO: Epoch 3797/9999, Iter 189820: Loss = 0.011291014030575752, lr = [0.0001] +[2024-06-10 15:00:46,298] - INFO: Epoch 3797/9999, Iter 189840: Loss = 0.015062175691127777, lr = [0.0001] +[2024-06-10 15:01:27,017] - INFO: Epoch 3798/9999, Iter 189860: Loss = 0.013403389602899551, lr = [0.0001] +[2024-06-10 15:02:05,068] - INFO: Epoch 3798/9999, Iter 189880: Loss = 0.004923058208078146, lr = [0.0001] +[2024-06-10 15:02:45,143] - INFO: Epoch 3799/9999, Iter 189900: Loss = 0.008964343927800655, lr = [0.0001] +[2024-06-10 15:03:26,989] - INFO: Epoch 3799/9999, Iter 189920: Loss = 0.010024887509644032, lr = [0.0001] +[2024-06-10 15:04:06,555] - INFO: Epoch 3799/9999, Iter 189940: Loss = 0.013971286825835705, lr = [0.0001] +[2024-06-10 15:04:48,634] - INFO: Epoch 3800/9999, Iter 189960: Loss = 0.010829203762114048, lr = [0.0001] +[2024-06-10 15:05:29,663] - INFO: Epoch 3800/9999, Iter 189980: Loss = 0.009619723074138165, lr = [0.0001] +[2024-06-10 15:06:05,234] - INFO: Evaluate at epoch 3800! +[2024-06-10 15:06:09,508] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 15:06:09,508] - INFO: Eval (with pad) PSNR (current): 38.125 (3800) SSIM (current): 0.9614 (3800) +[2024-06-10 15:06:09,508] - INFO: Evaluation over. +[2024-06-10 15:06:14,771] - INFO: Epoch 3801/9999, Iter 190000: Loss = 0.014638111926615238, lr = [0.0001] +[2024-06-10 15:06:57,019] - INFO: Epoch 3801/9999, Iter 190020: Loss = 0.011637738905847073, lr = [0.0001] +[2024-06-10 15:07:37,567] - INFO: Epoch 3801/9999, Iter 190040: Loss = 0.012966277077794075, lr = [0.0001] +[2024-06-10 15:08:19,349] - INFO: Epoch 3802/9999, Iter 190060: Loss = 0.012252978049218655, lr = [0.0001] +[2024-06-10 15:08:59,221] - INFO: Epoch 3802/9999, Iter 190080: Loss = 0.012172380462288857, lr = [0.0001] +[2024-06-10 15:09:39,435] - INFO: Epoch 3803/9999, Iter 190100: Loss = 0.01646510511636734, lr = [0.0001] +[2024-06-10 15:10:22,288] - INFO: Epoch 3803/9999, Iter 190120: Loss = 0.018953600898385048, lr = [0.0001] +[2024-06-10 15:11:02,132] - INFO: Epoch 3803/9999, Iter 190140: Loss = 0.008826718665659428, lr = [0.0001] +[2024-06-10 15:11:41,283] - INFO: Epoch 3804/9999, Iter 190160: Loss = 0.009395480155944824, lr = [0.0001] +[2024-06-10 15:12:21,091] - INFO: Epoch 3804/9999, Iter 190180: Loss = 0.018404293805360794, lr = [0.0001] +[2024-06-10 15:13:00,498] - INFO: Epoch 3805/9999, Iter 190200: Loss = 0.012383710592985153, lr = [0.0001] +[2024-06-10 15:13:41,572] - INFO: Epoch 3805/9999, Iter 190220: Loss = 0.013262617401778698, lr = [0.0001] +[2024-06-10 15:14:21,592] - INFO: Epoch 3805/9999, Iter 190240: Loss = 0.010527188889682293, lr = [0.0001] +[2024-06-10 15:14:36,705] - INFO: Evaluate at epoch 3805! +[2024-06-10 15:14:41,270] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 15:14:41,271] - INFO: Eval (with pad) PSNR (current): 38.171 (3805) SSIM (current): 0.9614 (3805) +[2024-06-10 15:14:41,271] - INFO: Evaluation over. +[2024-06-10 15:15:07,121] - INFO: Epoch 3806/9999, Iter 190260: Loss = 0.016277708113193512, lr = [0.0001] +[2024-06-10 15:15:45,612] - INFO: Epoch 3806/9999, Iter 190280: Loss = 0.0089342026039958, lr = [0.0001] +[2024-06-10 15:16:25,638] - INFO: Epoch 3807/9999, Iter 190300: Loss = 0.00841869879513979, lr = [0.0001] +[2024-06-10 15:17:07,625] - INFO: Epoch 3807/9999, Iter 190320: Loss = 0.009664122946560383, lr = [0.0001] +[2024-06-10 15:17:47,155] - INFO: Epoch 3807/9999, Iter 190340: Loss = 0.014041110873222351, lr = [0.0001] +[2024-06-10 15:18:28,003] - INFO: Epoch 3808/9999, Iter 190360: Loss = 0.010864699259400368, lr = [0.0001] +[2024-06-10 15:19:06,094] - INFO: Epoch 3808/9999, Iter 190380: Loss = 0.011739350855350494, lr = [0.0001] +[2024-06-10 15:19:47,070] - INFO: Epoch 3809/9999, Iter 190400: Loss = 0.010613367892801762, lr = [0.0001] +[2024-06-10 15:20:28,026] - INFO: Epoch 3809/9999, Iter 190420: Loss = 0.012108808383345604, lr = [0.0001] +[2024-06-10 15:21:08,264] - INFO: Epoch 3809/9999, Iter 190440: Loss = 0.010951993986964226, lr = [0.0001] +[2024-06-10 15:21:47,671] - INFO: Epoch 3810/9999, Iter 190460: Loss = 0.016892753541469574, lr = [0.0001] +[2024-06-10 15:22:27,563] - INFO: Epoch 3810/9999, Iter 190480: Loss = 0.013195390813052654, lr = [0.0001] +[2024-06-10 15:23:03,848] - INFO: Evaluate at epoch 3810! +[2024-06-10 15:23:08,225] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 15:23:08,226] - INFO: Eval (with pad) PSNR (current): 38.066 (3810) SSIM (current): 0.9614 (3810) +[2024-06-10 15:23:08,226] - INFO: Evaluation over. +[2024-06-10 15:23:14,268] - INFO: Epoch 3811/9999, Iter 190500: Loss = 0.013806969858705997, lr = [0.0001] +[2024-06-10 15:23:55,046] - INFO: Epoch 3811/9999, Iter 190520: Loss = 0.012484394945204258, lr = [0.0001] +[2024-06-10 15:24:34,820] - INFO: Epoch 3811/9999, Iter 190540: Loss = 0.01515605952590704, lr = [0.0001] +[2024-06-10 15:25:15,216] - INFO: Epoch 3812/9999, Iter 190560: Loss = 0.009482014924287796, lr = [0.0001] +[2024-06-10 15:25:55,230] - INFO: Epoch 3812/9999, Iter 190580: Loss = 0.011669130995869637, lr = [0.0001] +[2024-06-10 15:26:34,441] - INFO: Epoch 3813/9999, Iter 190600: Loss = 0.01075800508260727, lr = [0.0001] +[2024-06-10 15:27:17,389] - INFO: Epoch 3813/9999, Iter 190620: Loss = 0.011629278771579266, lr = [0.0001] +[2024-06-10 15:27:57,436] - INFO: Epoch 3813/9999, Iter 190640: Loss = 0.012619475834071636, lr = [0.0001] +[2024-06-10 15:28:37,184] - INFO: Epoch 3814/9999, Iter 190660: Loss = 0.008906102739274502, lr = [0.0001] +[2024-06-10 15:29:16,812] - INFO: Epoch 3814/9999, Iter 190680: Loss = 0.016193963587284088, lr = [0.0001] +[2024-06-10 15:29:55,991] - INFO: Epoch 3815/9999, Iter 190700: Loss = 0.012307009659707546, lr = [0.0001] +[2024-06-10 15:30:36,200] - INFO: Epoch 3815/9999, Iter 190720: Loss = 0.011294422671198845, lr = [0.0001] +[2024-06-10 15:31:16,758] - INFO: Epoch 3815/9999, Iter 190740: Loss = 0.011227607727050781, lr = [0.0001] +[2024-06-10 15:31:32,837] - INFO: Evaluate at epoch 3815! +[2024-06-10 15:31:37,200] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 15:31:37,200] - INFO: Eval (with pad) PSNR (current): 38.181 (3815) SSIM (current): 0.9614 (3815) +[2024-06-10 15:31:37,200] - INFO: Evaluation over. +[2024-06-10 15:32:03,475] - INFO: Epoch 3816/9999, Iter 190760: Loss = 0.014616577886044979, lr = [0.0001] +[2024-06-10 15:32:44,640] - INFO: Epoch 3816/9999, Iter 190780: Loss = 0.009289470501244068, lr = [0.0001] +[2024-06-10 15:33:23,184] - INFO: Epoch 3817/9999, Iter 190800: Loss = 0.010971534997224808, lr = [0.0001] +[2024-06-10 15:34:05,466] - INFO: Epoch 3817/9999, Iter 190820: Loss = 0.011319734156131744, lr = [0.0001] +[2024-06-10 15:34:47,670] - INFO: Epoch 3817/9999, Iter 190840: Loss = 0.010456233285367489, lr = [0.0001] +[2024-06-10 15:35:29,290] - INFO: Epoch 3818/9999, Iter 190860: Loss = 0.015435035340487957, lr = [0.0001] +[2024-06-10 15:36:09,446] - INFO: Epoch 3818/9999, Iter 190880: Loss = 0.010083158500492573, lr = [0.0001] +[2024-06-10 15:36:49,582] - INFO: Epoch 3819/9999, Iter 190900: Loss = 0.009026855230331421, lr = [0.0001] +[2024-06-10 15:37:29,773] - INFO: Epoch 3819/9999, Iter 190920: Loss = 0.013497542589902878, lr = [0.0001] +[2024-06-10 15:38:07,537] - INFO: Epoch 3819/9999, Iter 190940: Loss = 0.01145903393626213, lr = [0.0001] +[2024-06-10 15:38:48,453] - INFO: Epoch 3820/9999, Iter 190960: Loss = 0.01759725622832775, lr = [0.0001] +[2024-06-10 15:39:29,785] - INFO: Epoch 3820/9999, Iter 190980: Loss = 0.012926899828016758, lr = [0.0001] +[2024-06-10 15:40:05,720] - INFO: Evaluate at epoch 3820! +[2024-06-10 15:40:10,219] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3690) +[2024-06-10 15:40:10,219] - INFO: Eval (with pad) PSNR (current): 38.087 (3820) SSIM (current): 0.9615 (3820) +[2024-06-10 15:40:10,219] - INFO: Evaluation over. +[2024-06-10 15:40:15,568] - INFO: Epoch 3821/9999, Iter 191000: Loss = 0.013764141127467155, lr = [0.0001] +[2024-06-10 15:40:55,933] - INFO: Epoch 3821/9999, Iter 191020: Loss = 0.010984325781464577, lr = [0.0001] +[2024-06-10 15:41:35,322] - INFO: Epoch 3821/9999, Iter 191040: Loss = 0.019422518089413643, lr = [0.0001] +[2024-06-10 15:42:14,305] - INFO: Epoch 3822/9999, Iter 191060: Loss = 0.008726251311600208, lr = [0.0001] +[2024-06-10 15:42:53,128] - INFO: Epoch 3822/9999, Iter 191080: Loss = 0.011997604742646217, lr = [0.0001] +[2024-06-10 15:43:33,230] - INFO: Epoch 3823/9999, Iter 191100: Loss = 0.012809248641133308, lr = [0.0001] +[2024-06-10 15:44:14,280] - INFO: Epoch 3823/9999, Iter 191120: Loss = 0.011801308020949364, lr = [0.0001] +[2024-06-10 15:44:54,108] - INFO: Epoch 3823/9999, Iter 191140: Loss = 0.018602032214403152, lr = [0.0001] +[2024-06-10 15:45:36,446] - INFO: Epoch 3824/9999, Iter 191160: Loss = 0.011409957893192768, lr = [0.0001] +[2024-06-10 15:46:16,184] - INFO: Epoch 3824/9999, Iter 191180: Loss = 0.01258094422519207, lr = [0.0001] +[2024-06-10 15:46:55,329] - INFO: Epoch 3825/9999, Iter 191200: Loss = 0.01007569395005703, lr = [0.0001] +[2024-06-10 15:47:36,548] - INFO: Epoch 3825/9999, Iter 191220: Loss = 0.009633277542889118, lr = [0.0001] +[2024-06-10 15:48:16,144] - INFO: Epoch 3825/9999, Iter 191240: Loss = 0.010343002155423164, lr = [0.0001] +[2024-06-10 15:48:31,522] - INFO: Evaluate at epoch 3825! +[2024-06-10 15:48:37,349] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3825) +[2024-06-10 15:48:37,350] - INFO: Eval (with pad) PSNR (current): 38.176 (3825) SSIM (current): 0.9616 (3825) +[2024-06-10 15:48:37,350] - INFO: Evaluation over. +[2024-06-10 15:49:03,082] - INFO: Epoch 3826/9999, Iter 191260: Loss = 0.01585698127746582, lr = [0.0001] +[2024-06-10 15:49:43,394] - INFO: Epoch 3826/9999, Iter 191280: Loss = 0.005769943818449974, lr = [0.0001] +[2024-06-10 15:50:22,853] - INFO: Epoch 3827/9999, Iter 191300: Loss = 0.011858690530061722, lr = [0.0001] +[2024-06-10 15:51:02,670] - INFO: Epoch 3827/9999, Iter 191320: Loss = 0.013910509645938873, lr = [0.0001] +[2024-06-10 15:51:42,627] - INFO: Epoch 3827/9999, Iter 191340: Loss = 0.011901944875717163, lr = [0.0001] +[2024-06-10 15:52:24,584] - INFO: Epoch 3828/9999, Iter 191360: Loss = 0.013442907482385635, lr = [0.0001] +[2024-06-10 15:53:04,405] - INFO: Epoch 3828/9999, Iter 191380: Loss = 0.017249848693609238, lr = [0.0001] +[2024-06-10 15:53:44,036] - INFO: Epoch 3829/9999, Iter 191400: Loss = 0.0062101492658257484, lr = [0.0001] +[2024-06-10 15:54:23,573] - INFO: Epoch 3829/9999, Iter 191420: Loss = 0.008839339949190617, lr = [0.0001] +[2024-06-10 15:55:02,611] - INFO: Epoch 3829/9999, Iter 191440: Loss = 0.013903893530368805, lr = [0.0001] +[2024-06-10 15:55:43,810] - INFO: Epoch 3830/9999, Iter 191460: Loss = 0.006620549596846104, lr = [0.0001] +[2024-06-10 15:56:21,849] - INFO: Epoch 3830/9999, Iter 191480: Loss = 0.009085039608180523, lr = [0.0001] +[2024-06-10 15:56:57,742] - INFO: Evaluate at epoch 3830! +[2024-06-10 15:57:02,446] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3825) +[2024-06-10 15:57:02,446] - INFO: Eval (with pad) PSNR (current): 38.083 (3830) SSIM (current): 0.9613 (3830) +[2024-06-10 15:57:02,447] - INFO: Evaluation over. +[2024-06-10 15:57:08,096] - INFO: Epoch 3831/9999, Iter 191500: Loss = 0.013728315941989422, lr = [0.0001] +[2024-06-10 15:57:48,909] - INFO: Epoch 3831/9999, Iter 191520: Loss = 0.015321432612836361, lr = [0.0001] +[2024-06-10 15:58:27,738] - INFO: Epoch 3831/9999, Iter 191540: Loss = 0.012312246486544609, lr = [0.0001] +[2024-06-10 15:59:07,166] - INFO: Epoch 3832/9999, Iter 191560: Loss = 0.008896123617887497, lr = [0.0001] +[2024-06-10 15:59:47,167] - INFO: Epoch 3832/9999, Iter 191580: Loss = 0.013637864962220192, lr = [0.0001] +[2024-06-10 16:00:26,202] - INFO: Epoch 3833/9999, Iter 191600: Loss = 0.01459362544119358, lr = [0.0001] +[2024-06-10 16:01:07,110] - INFO: Epoch 3833/9999, Iter 191620: Loss = 0.010725008323788643, lr = [0.0001] +[2024-06-10 16:01:47,052] - INFO: Epoch 3833/9999, Iter 191640: Loss = 0.010399389080703259, lr = [0.0001] +[2024-06-10 16:02:27,158] - INFO: Epoch 3834/9999, Iter 191660: Loss = 0.010708961635828018, lr = [0.0001] +[2024-06-10 16:03:06,884] - INFO: Epoch 3834/9999, Iter 191680: Loss = 0.01667913608253002, lr = [0.0001] +[2024-06-10 16:03:45,472] - INFO: Epoch 3835/9999, Iter 191700: Loss = 0.01445667166262865, lr = [0.0001] +[2024-06-10 16:04:27,286] - INFO: Epoch 3835/9999, Iter 191720: Loss = 0.012140697799623013, lr = [0.0001] +[2024-06-10 16:05:07,612] - INFO: Epoch 3835/9999, Iter 191740: Loss = 0.012904792092740536, lr = [0.0001] +[2024-06-10 16:05:23,290] - INFO: Evaluate at epoch 3835! +[2024-06-10 16:05:27,554] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3825) +[2024-06-10 16:05:27,554] - INFO: Eval (with pad) PSNR (current): 38.130 (3835) SSIM (current): 0.9615 (3835) +[2024-06-10 16:05:27,555] - INFO: Evaluation over. +[2024-06-10 16:05:53,646] - INFO: Epoch 3836/9999, Iter 191760: Loss = 0.010021524503827095, lr = [0.0001] +[2024-06-10 16:06:32,501] - INFO: Epoch 3836/9999, Iter 191780: Loss = 0.011681968346238136, lr = [0.0001] +[2024-06-10 16:07:12,117] - INFO: Epoch 3837/9999, Iter 191800: Loss = 0.006469315849244595, lr = [0.0001] +[2024-06-10 16:07:53,642] - INFO: Epoch 3837/9999, Iter 191820: Loss = 0.011809848248958588, lr = [0.0001] +[2024-06-10 16:08:34,370] - INFO: Epoch 3837/9999, Iter 191840: Loss = 0.010802500881254673, lr = [0.0001] +[2024-06-10 16:09:15,773] - INFO: Epoch 3838/9999, Iter 191860: Loss = 0.014674854464828968, lr = [0.0001] +[2024-06-10 16:09:55,231] - INFO: Epoch 3838/9999, Iter 191880: Loss = 0.012989015318453312, lr = [0.0001] +[2024-06-10 16:10:35,821] - INFO: Epoch 3839/9999, Iter 191900: Loss = 0.009181923232972622, lr = [0.0001] +[2024-06-10 16:11:17,414] - INFO: Epoch 3839/9999, Iter 191920: Loss = 0.010586004704236984, lr = [0.0001] +[2024-06-10 16:11:57,321] - INFO: Epoch 3839/9999, Iter 191940: Loss = 0.013507397845387459, lr = [0.0001] +[2024-06-10 16:12:37,433] - INFO: Epoch 3840/9999, Iter 191960: Loss = 0.013293099589645863, lr = [0.0001] +[2024-06-10 16:13:17,657] - INFO: Epoch 3840/9999, Iter 191980: Loss = 0.01057958323508501, lr = [0.0001] +[2024-06-10 16:13:53,638] - INFO: Evaluate at epoch 3840! +[2024-06-10 16:13:58,221] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3825) +[2024-06-10 16:13:58,221] - INFO: Eval (with pad) PSNR (current): 38.151 (3840) SSIM (current): 0.9614 (3840) +[2024-06-10 16:13:58,221] - INFO: Evaluation over. +[2024-06-10 16:14:02,869] - INFO: Epoch 3841/9999, Iter 192000: Loss = 0.014510142616927624, lr = [0.0001] +[2024-06-10 16:14:42,556] - INFO: Epoch 3841/9999, Iter 192020: Loss = 0.013029779307544231, lr = [0.0001] +[2024-06-10 16:15:21,326] - INFO: Epoch 3841/9999, Iter 192040: Loss = 0.008452722802758217, lr = [0.0001] +[2024-06-10 16:16:01,035] - INFO: Epoch 3842/9999, Iter 192060: Loss = 0.013631457462906837, lr = [0.0001] +[2024-06-10 16:16:42,256] - INFO: Epoch 3842/9999, Iter 192080: Loss = 0.011441625654697418, lr = [0.0001] +[2024-06-10 16:17:22,096] - INFO: Epoch 3843/9999, Iter 192100: Loss = 0.008415699005126953, lr = [0.0001] +[2024-06-10 16:18:02,914] - INFO: Epoch 3843/9999, Iter 192120: Loss = 0.013087110593914986, lr = [0.0001] +[2024-06-10 16:18:42,424] - INFO: Epoch 3843/9999, Iter 192140: Loss = 0.011152276769280434, lr = [0.0001] +[2024-06-10 16:19:22,211] - INFO: Epoch 3844/9999, Iter 192160: Loss = 0.016199825331568718, lr = [0.0001] +[2024-06-10 16:20:03,182] - INFO: Epoch 3844/9999, Iter 192180: Loss = 0.015400398522615433, lr = [0.0001] +[2024-06-10 16:20:43,437] - INFO: Epoch 3845/9999, Iter 192200: Loss = 0.013336516916751862, lr = [0.0001] +[2024-06-10 16:21:24,728] - INFO: Epoch 3845/9999, Iter 192220: Loss = 0.01746632717549801, lr = [0.0001] +[2024-06-10 16:22:03,606] - INFO: Epoch 3845/9999, Iter 192240: Loss = 0.011539258062839508, lr = [0.0001] +[2024-06-10 16:22:19,615] - INFO: Evaluate at epoch 3845! +[2024-06-10 16:22:23,893] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3825) +[2024-06-10 16:22:23,894] - INFO: Eval (with pad) PSNR (current): 38.170 (3845) SSIM (current): 0.9614 (3845) +[2024-06-10 16:22:23,894] - INFO: Evaluation over. +[2024-06-10 16:22:50,495] - INFO: Epoch 3846/9999, Iter 192260: Loss = 0.013178707100450993, lr = [0.0001] +[2024-06-10 16:23:31,110] - INFO: Epoch 3846/9999, Iter 192280: Loss = 0.008967094123363495, lr = [0.0001] +[2024-06-10 16:24:11,109] - INFO: Epoch 3847/9999, Iter 192300: Loss = 0.011033136397600174, lr = [0.0001] +[2024-06-10 16:24:51,991] - INFO: Epoch 3847/9999, Iter 192320: Loss = 0.012505099177360535, lr = [0.0001] +[2024-06-10 16:25:31,833] - INFO: Epoch 3847/9999, Iter 192340: Loss = 0.01449993159621954, lr = [0.0001] +[2024-06-10 16:26:12,643] - INFO: Epoch 3848/9999, Iter 192360: Loss = 0.01273019053041935, lr = [0.0001] +[2024-06-10 16:26:52,141] - INFO: Epoch 3848/9999, Iter 192380: Loss = 0.007310991175472736, lr = [0.0001] +[2024-06-10 16:27:32,125] - INFO: Epoch 3849/9999, Iter 192400: Loss = 0.008727374486625195, lr = [0.0001] +[2024-06-10 16:28:12,160] - INFO: Epoch 3849/9999, Iter 192420: Loss = 0.018331656232476234, lr = [0.0001] +[2024-06-10 16:28:51,108] - INFO: Epoch 3849/9999, Iter 192440: Loss = 0.016119791194796562, lr = [0.0001] +[2024-06-10 16:29:31,262] - INFO: Epoch 3850/9999, Iter 192460: Loss = 0.012353597208857536, lr = [0.0001] +[2024-06-10 16:30:11,345] - INFO: Epoch 3850/9999, Iter 192480: Loss = 0.011107354424893856, lr = [0.0001] +[2024-06-10 16:30:46,305] - INFO: Evaluate at epoch 3850! +[2024-06-10 16:30:50,624] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3825) +[2024-06-10 16:30:50,624] - INFO: Eval (with pad) PSNR (current): 38.182 (3850) SSIM (current): 0.9615 (3850) +[2024-06-10 16:30:50,624] - INFO: Evaluation over. +[2024-06-10 16:30:56,156] - INFO: Epoch 3851/9999, Iter 192500: Loss = 0.010643885470926762, lr = [0.0001] +[2024-06-10 16:31:36,704] - INFO: Epoch 3851/9999, Iter 192520: Loss = 0.009713725186884403, lr = [0.0001] +[2024-06-10 16:32:14,980] - INFO: Epoch 3851/9999, Iter 192540: Loss = 0.01361656654626131, lr = [0.0001] +[2024-06-10 16:32:55,026] - INFO: Epoch 3852/9999, Iter 192560: Loss = 0.010636464692652225, lr = [0.0001] +[2024-06-10 16:33:33,504] - INFO: Epoch 3852/9999, Iter 192580: Loss = 0.007339656352996826, lr = [0.0001] +[2024-06-10 16:34:12,195] - INFO: Epoch 3853/9999, Iter 192600: Loss = 0.010753940790891647, lr = [0.0001] +[2024-06-10 16:34:52,124] - INFO: Epoch 3853/9999, Iter 192620: Loss = 0.011855571530759335, lr = [0.0001] +[2024-06-10 16:35:31,881] - INFO: Epoch 3853/9999, Iter 192640: Loss = 0.013345608487725258, lr = [0.0001] +[2024-06-10 16:36:12,226] - INFO: Epoch 3854/9999, Iter 192660: Loss = 0.014916710555553436, lr = [0.0001] +[2024-06-10 16:36:52,480] - INFO: Epoch 3854/9999, Iter 192680: Loss = 0.00801513809710741, lr = [0.0001] +[2024-06-10 16:37:31,783] - INFO: Epoch 3855/9999, Iter 192700: Loss = 0.009655517525970936, lr = [0.0001] +[2024-06-10 16:38:14,211] - INFO: Epoch 3855/9999, Iter 192720: Loss = 0.015473705716431141, lr = [0.0001] +[2024-06-10 16:38:53,495] - INFO: Epoch 3855/9999, Iter 192740: Loss = 0.015188812278211117, lr = [0.0001] +[2024-06-10 16:39:09,695] - INFO: Evaluate at epoch 3855! +[2024-06-10 16:39:14,082] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3825) +[2024-06-10 16:39:14,082] - INFO: Eval (with pad) PSNR (current): 38.154 (3855) SSIM (current): 0.9614 (3855) +[2024-06-10 16:39:14,082] - INFO: Evaluation over. +[2024-06-10 16:39:40,621] - INFO: Epoch 3856/9999, Iter 192760: Loss = 0.01016260590404272, lr = [0.0001] +[2024-06-10 16:40:20,177] - INFO: Epoch 3856/9999, Iter 192780: Loss = 0.01370210014283657, lr = [0.0001] +[2024-06-10 16:40:59,918] - INFO: Epoch 3857/9999, Iter 192800: Loss = 0.012022941373288631, lr = [0.0001] +[2024-06-10 16:41:40,198] - INFO: Epoch 3857/9999, Iter 192820: Loss = 0.01070619747042656, lr = [0.0001] +[2024-06-10 16:42:20,751] - INFO: Epoch 3857/9999, Iter 192840: Loss = 0.011948488652706146, lr = [0.0001] +[2024-06-10 16:43:02,048] - INFO: Epoch 3858/9999, Iter 192860: Loss = 0.012944089248776436, lr = [0.0001] +[2024-06-10 16:43:43,219] - INFO: Epoch 3858/9999, Iter 192880: Loss = 0.017525849863886833, lr = [0.0001] +[2024-06-10 16:44:23,771] - INFO: Epoch 3859/9999, Iter 192900: Loss = 0.012237990275025368, lr = [0.0001] +[2024-06-10 16:45:05,112] - INFO: Epoch 3859/9999, Iter 192920: Loss = 0.012145409360527992, lr = [0.0001] +[2024-06-10 16:45:45,037] - INFO: Epoch 3859/9999, Iter 192940: Loss = 0.014240276999771595, lr = [0.0001] +[2024-06-10 16:46:25,503] - INFO: Epoch 3860/9999, Iter 192960: Loss = 0.01186574436724186, lr = [0.0001] +[2024-06-10 16:47:05,045] - INFO: Epoch 3860/9999, Iter 192980: Loss = 0.00974088441580534, lr = [0.0001] +[2024-06-10 16:47:40,115] - INFO: Evaluate at epoch 3860! +[2024-06-10 16:47:44,349] - INFO: Eval (with pad) PSNR (max): 38.216 (3675) SSIM (max): 0.9616 (3825) +[2024-06-10 16:47:44,350] - INFO: Eval (with pad) PSNR (current): 38.111 (3860) SSIM (current): 0.9615 (3860) +[2024-06-10 16:47:44,350] - INFO: Evaluation over. +[2024-06-10 16:47:49,493] - INFO: Epoch 3861/9999, Iter 193000: Loss = 0.014445589855313301, lr = [0.0001] +[2024-06-10 16:48:29,853] - INFO: Epoch 3861/9999, Iter 193020: Loss = 0.007311936933547258, lr = [0.0001] +[2024-06-10 16:49:08,290] - INFO: Epoch 3861/9999, Iter 193040: Loss = 0.016096023842692375, lr = [0.0001] +[2024-06-10 16:49:48,849] - INFO: Epoch 3862/9999, Iter 193060: Loss = 0.015731723979115486, lr = [0.0001] +[2024-06-10 16:50:28,460] - INFO: Epoch 3862/9999, Iter 193080: Loss = 0.014777146279811859, lr = [0.0001] +[2024-06-10 16:51:09,125] - INFO: Epoch 3863/9999, Iter 193100: Loss = 0.012160370126366615, lr = [0.0001]