diff --git "a/DNAN/DNAN_2.log" "b/DNAN/DNAN_2.log" new file mode 100644--- /dev/null +++ "b/DNAN/DNAN_2.log" @@ -0,0 +1,7950 @@ +[2024-05-25 09:37:47,171] - INFO: LOGGER SETUP COMPLETED +[2024-05-25 09:37:47,177] - INFO: DATASET LOADED +[2024-05-25 09:37:48,324] - INFO: MODEL LOADED +[2024-05-25 09:37:48,324] - INFO: Device: cuda +[2024-05-25 09:38:13,937] - INFO: Load Pretrained model at epoch 1230 +[2024-05-25 09:38:17,384] - INFO: Epoch 1231/9999, Iter 123000: Loss = 0.007583480328321457, lr = [0.0001] +[2024-05-25 09:38:50,020] - INFO: Epoch 1231/9999, Iter 123040: Loss = 0.014803539030253887, lr = [0.0001] +[2024-05-25 09:39:22,181] - INFO: Epoch 1231/9999, Iter 123080: Loss = 0.017268700525164604, lr = [0.0001] +[2024-05-25 09:39:52,819] - INFO: Epoch 1232/9999, Iter 123120: Loss = 0.2484104037284851, lr = [0.0001] +[2024-05-25 09:40:20,128] - INFO: Epoch 1232/9999, Iter 123160: Loss = 0.054747387766838074, lr = [0.0001] +[2024-05-25 09:40:48,597] - INFO: Epoch 1233/9999, Iter 123200: Loss = 0.03013661503791809, lr = [0.0001] +[2024-05-25 09:41:15,910] - INFO: Epoch 1233/9999, Iter 123240: Loss = 0.021420443430542946, lr = [0.0001] +[2024-05-25 09:41:43,175] - INFO: Epoch 1233/9999, Iter 123280: Loss = 0.03346968814730644, lr = [0.0001] +[2024-05-25 09:42:12,056] - INFO: Epoch 1234/9999, Iter 123320: Loss = 0.01769791729748249, lr = [0.0001] +[2024-05-25 09:42:39,212] - INFO: Epoch 1234/9999, Iter 123360: Loss = 0.009408684447407722, lr = [0.0001] +[2024-05-25 09:43:07,900] - INFO: Epoch 1235/9999, Iter 123400: Loss = 0.013964264653623104, lr = [0.0001] +[2024-05-25 09:43:35,145] - INFO: Epoch 1235/9999, Iter 123440: Loss = 0.015512644313275814, lr = [0.0001] +[2024-05-25 09:44:02,381] - INFO: Epoch 1235/9999, Iter 123480: Loss = 0.013721046969294548, lr = [0.0001] +[2024-05-25 09:44:15,639] - INFO: Evaluate at epoch 1235! +[2024-05-25 09:44:20,508] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 09:44:20,509] - INFO: Eval PSNR (current): 37.436 (1235) SSIM (current): 0.9584 (1235) +[2024-05-25 09:44:20,509] - INFO: Evaluation over. +[2024-05-25 09:44:41,119] - INFO: Epoch 1236/9999, Iter 123520: Loss = 0.020826658234000206, lr = [0.0001] +[2024-05-25 09:45:08,365] - INFO: Epoch 1236/9999, Iter 123560: Loss = 0.014905352145433426, lr = [0.0001] +[2024-05-25 09:45:36,829] - INFO: Epoch 1237/9999, Iter 123600: Loss = 0.019654879346489906, lr = [0.0001] +[2024-05-25 09:46:04,117] - INFO: Epoch 1237/9999, Iter 123640: Loss = 0.015454371459782124, lr = [0.0001] +[2024-05-25 09:46:31,347] - INFO: Epoch 1237/9999, Iter 123680: Loss = 0.015785928815603256, lr = [0.0001] +[2024-05-25 09:46:59,958] - INFO: Epoch 1238/9999, Iter 123720: Loss = 0.012792878784239292, lr = [0.0001] +[2024-05-25 09:47:27,170] - INFO: Epoch 1238/9999, Iter 123760: Loss = 0.0048261540941894054, lr = [0.0001] +[2024-05-25 09:47:55,689] - INFO: Epoch 1239/9999, Iter 123800: Loss = 0.016939181834459305, lr = [0.0001] +[2024-05-25 09:48:22,995] - INFO: Epoch 1239/9999, Iter 123840: Loss = 0.009252737276256084, lr = [0.0001] +[2024-05-25 09:48:50,219] - INFO: Epoch 1239/9999, Iter 123880: Loss = 0.006328398361802101, lr = [0.0001] +[2024-05-25 09:49:19,077] - INFO: Epoch 1240/9999, Iter 123920: Loss = 0.008598309010267258, lr = [0.0001] +[2024-05-25 09:49:46,337] - INFO: Epoch 1240/9999, Iter 123960: Loss = 0.009172867983579636, lr = [0.0001] +[2024-05-25 09:50:13,281] - INFO: Evaluate at epoch 1240! +[2024-05-25 09:50:18,026] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 09:50:18,026] - INFO: Eval PSNR (current): 37.751 (1240) SSIM (current): 0.9597 (1240) +[2024-05-25 09:50:18,026] - INFO: Evaluation over. +[2024-05-25 09:50:25,012] - INFO: Epoch 1241/9999, Iter 124000: Loss = 0.011218241415917873, lr = [0.0001] +[2024-05-25 09:50:52,332] - INFO: Epoch 1241/9999, Iter 124040: Loss = 0.02134658768773079, lr = [0.0001] +[2024-05-25 09:51:19,574] - INFO: Epoch 1241/9999, Iter 124080: Loss = 0.010198734700679779, lr = [0.0001] +[2024-05-25 09:51:48,064] - INFO: Epoch 1242/9999, Iter 124120: Loss = 0.018143899738788605, lr = [0.0001] +[2024-05-25 09:52:15,226] - INFO: Epoch 1242/9999, Iter 124160: Loss = 0.020088214427232742, lr = [0.0001] +[2024-05-25 09:52:43,835] - INFO: Epoch 1243/9999, Iter 124200: Loss = 0.015730377286672592, lr = [0.0001] +[2024-05-25 09:53:11,193] - INFO: Epoch 1243/9999, Iter 124240: Loss = 0.010240723378956318, lr = [0.0001] +[2024-05-25 09:53:38,416] - INFO: Epoch 1243/9999, Iter 124280: Loss = 0.008331035263836384, lr = [0.0001] +[2024-05-25 09:54:07,297] - INFO: Epoch 1244/9999, Iter 124320: Loss = 0.020700139924883842, lr = [0.0001] +[2024-05-25 09:54:34,495] - INFO: Epoch 1244/9999, Iter 124360: Loss = 0.008619730360805988, lr = [0.0001] +[2024-05-25 09:55:02,956] - INFO: Epoch 1245/9999, Iter 124400: Loss = 0.014155951328575611, lr = [0.0001] +[2024-05-25 09:55:30,327] - INFO: Epoch 1245/9999, Iter 124440: Loss = 0.01168635580688715, lr = [0.0001] +[2024-05-25 09:55:57,490] - INFO: Epoch 1245/9999, Iter 124480: Loss = 0.013782459311187267, lr = [0.0001] +[2024-05-25 09:56:10,770] - INFO: Evaluate at epoch 1245! +[2024-05-25 09:56:15,582] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 09:56:15,582] - INFO: Eval PSNR (current): 37.829 (1245) SSIM (current): 0.9601 (1245) +[2024-05-25 09:56:15,582] - INFO: Evaluation over. +[2024-05-25 09:56:36,383] - INFO: Epoch 1246/9999, Iter 124520: Loss = 0.010607087053358555, lr = [0.0001] +[2024-05-25 09:57:03,610] - INFO: Epoch 1246/9999, Iter 124560: Loss = 0.011203169822692871, lr = [0.0001] +[2024-05-25 09:57:32,110] - INFO: Epoch 1247/9999, Iter 124600: Loss = 0.008581564761698246, lr = [0.0001] +[2024-05-25 09:57:59,459] - INFO: Epoch 1247/9999, Iter 124640: Loss = 0.012611694633960724, lr = [0.0001] +[2024-05-25 09:58:26,635] - INFO: Epoch 1247/9999, Iter 124680: Loss = 0.016043206676840782, lr = [0.0001] +[2024-05-25 09:58:55,434] - INFO: Epoch 1248/9999, Iter 124720: Loss = 0.012988612987101078, lr = [0.0001] +[2024-05-25 09:59:22,706] - INFO: Epoch 1248/9999, Iter 124760: Loss = 0.017498275265097618, lr = [0.0001] +[2024-05-25 09:59:51,321] - INFO: Epoch 1249/9999, Iter 124800: Loss = 0.009952526539564133, lr = [0.0001] +[2024-05-25 10:00:18,666] - INFO: Epoch 1249/9999, Iter 124840: Loss = 0.013473994098603725, lr = [0.0001] +[2024-05-25 10:00:45,858] - INFO: Epoch 1249/9999, Iter 124880: Loss = 0.011354540474712849, lr = [0.0001] +[2024-05-25 10:01:14,478] - INFO: Epoch 1250/9999, Iter 124920: Loss = 0.010784702375531197, lr = [0.0001] +[2024-05-25 10:01:41,671] - INFO: Epoch 1250/9999, Iter 124960: Loss = 0.016723595559597015, lr = [0.0001] +[2024-05-25 10:02:08,597] - INFO: Evaluate at epoch 1250! +[2024-05-25 10:02:13,341] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:02:13,341] - INFO: Eval PSNR (current): 37.923 (1250) SSIM (current): 0.9604 (1250) +[2024-05-25 10:02:13,341] - INFO: Evaluation over. +[2024-05-25 10:02:19,909] - INFO: Epoch 1251/9999, Iter 125000: Loss = 0.016765814274549484, lr = [0.0001] +[2024-05-25 10:02:47,178] - INFO: Epoch 1251/9999, Iter 125040: Loss = 0.010979626327753067, lr = [0.0001] +[2024-05-25 10:03:14,424] - INFO: Epoch 1251/9999, Iter 125080: Loss = 0.015461061149835587, lr = [0.0001] +[2024-05-25 10:03:43,052] - INFO: Epoch 1252/9999, Iter 125120: Loss = 0.0074989753775298595, lr = [0.0001] +[2024-05-25 10:04:10,286] - INFO: Epoch 1252/9999, Iter 125160: Loss = 0.009024059399962425, lr = [0.0001] +[2024-05-25 10:04:38,885] - INFO: Epoch 1253/9999, Iter 125200: Loss = 0.010150348767638206, lr = [0.0001] +[2024-05-25 10:05:06,126] - INFO: Epoch 1253/9999, Iter 125240: Loss = 0.01604863628745079, lr = [0.0001] +[2024-05-25 10:05:33,311] - INFO: Epoch 1253/9999, Iter 125280: Loss = 0.013381238095462322, lr = [0.0001] +[2024-05-25 10:06:02,083] - INFO: Epoch 1254/9999, Iter 125320: Loss = 0.0128704234957695, lr = [0.0001] +[2024-05-25 10:06:29,285] - INFO: Epoch 1254/9999, Iter 125360: Loss = 0.01648862101137638, lr = [0.0001] +[2024-05-25 10:06:57,796] - INFO: Epoch 1255/9999, Iter 125400: Loss = 0.009210629388689995, lr = [0.0001] +[2024-05-25 10:07:25,031] - INFO: Epoch 1255/9999, Iter 125440: Loss = 0.01963026635348797, lr = [0.0001] +[2024-05-25 10:07:52,244] - INFO: Epoch 1255/9999, Iter 125480: Loss = 0.010381638072431087, lr = [0.0001] +[2024-05-25 10:08:05,552] - INFO: Evaluate at epoch 1255! +[2024-05-25 10:08:10,415] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:08:10,415] - INFO: Eval PSNR (current): 37.932 (1255) SSIM (current): 0.9604 (1255) +[2024-05-25 10:08:10,415] - INFO: Evaluation over. +[2024-05-25 10:08:31,050] - INFO: Epoch 1256/9999, Iter 125520: Loss = 0.01771862618625164, lr = [0.0001] +[2024-05-25 10:08:58,304] - INFO: Epoch 1256/9999, Iter 125560: Loss = 0.025387009605765343, lr = [0.0001] +[2024-05-25 10:09:26,948] - INFO: Epoch 1257/9999, Iter 125600: Loss = 0.010288301855325699, lr = [0.0001] +[2024-05-25 10:09:54,191] - INFO: Epoch 1257/9999, Iter 125640: Loss = 0.012964610941708088, lr = [0.0001] +[2024-05-25 10:10:21,472] - INFO: Epoch 1257/9999, Iter 125680: Loss = 0.017338065430521965, lr = [0.0001] +[2024-05-25 10:10:49,787] - INFO: Epoch 1258/9999, Iter 125720: Loss = 0.014700571075081825, lr = [0.0001] +[2024-05-25 10:11:16,975] - INFO: Epoch 1258/9999, Iter 125760: Loss = 0.010172254405915737, lr = [0.0001] +[2024-05-25 10:11:45,587] - INFO: Epoch 1259/9999, Iter 125800: Loss = 0.017483284696936607, lr = [0.0001] +[2024-05-25 10:12:12,913] - INFO: Epoch 1259/9999, Iter 125840: Loss = 0.016200445592403412, lr = [0.0001] +[2024-05-25 10:12:40,151] - INFO: Epoch 1259/9999, Iter 125880: Loss = 0.012970434501767159, lr = [0.0001] +[2024-05-25 10:13:08,959] - INFO: Epoch 1260/9999, Iter 125920: Loss = 0.00630840752273798, lr = [0.0001] +[2024-05-25 10:13:36,235] - INFO: Epoch 1260/9999, Iter 125960: Loss = 0.015378821641206741, lr = [0.0001] +[2024-05-25 10:14:03,050] - INFO: Evaluate at epoch 1260! +[2024-05-25 10:14:07,884] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:14:07,884] - INFO: Eval PSNR (current): 37.698 (1260) SSIM (current): 0.9606 (1260) +[2024-05-25 10:14:07,884] - INFO: Evaluation over. +[2024-05-25 10:14:14,894] - INFO: Epoch 1261/9999, Iter 126000: Loss = 0.01096808910369873, lr = [0.0001] +[2024-05-25 10:14:42,238] - INFO: Epoch 1261/9999, Iter 126040: Loss = 0.011142382398247719, lr = [0.0001] +[2024-05-25 10:15:09,421] - INFO: Epoch 1261/9999, Iter 126080: Loss = 0.01861562579870224, lr = [0.0001] +[2024-05-25 10:15:38,107] - INFO: Epoch 1262/9999, Iter 126120: Loss = 0.017711177468299866, lr = [0.0001] +[2024-05-25 10:16:05,314] - INFO: Epoch 1262/9999, Iter 126160: Loss = 0.012210038490593433, lr = [0.0001] +[2024-05-25 10:16:33,637] - INFO: Epoch 1263/9999, Iter 126200: Loss = 0.015028196386992931, lr = [0.0001] +[2024-05-25 10:17:01,013] - INFO: Epoch 1263/9999, Iter 126240: Loss = 0.006072172895073891, lr = [0.0001] +[2024-05-25 10:17:28,240] - INFO: Epoch 1263/9999, Iter 126280: Loss = 0.005599869880825281, lr = [0.0001] +[2024-05-25 10:17:57,092] - INFO: Epoch 1264/9999, Iter 126320: Loss = 0.012969492003321648, lr = [0.0001] +[2024-05-25 10:18:24,381] - INFO: Epoch 1264/9999, Iter 126360: Loss = 0.016162455081939697, lr = [0.0001] +[2024-05-25 10:18:52,883] - INFO: Epoch 1265/9999, Iter 126400: Loss = 0.011839360930025578, lr = [0.0001] +[2024-05-25 10:19:20,180] - INFO: Epoch 1265/9999, Iter 126440: Loss = 0.015053472481667995, lr = [0.0001] +[2024-05-25 10:19:47,399] - INFO: Epoch 1265/9999, Iter 126480: Loss = 0.00702819274738431, lr = [0.0001] +[2024-05-25 10:20:00,735] - INFO: Evaluate at epoch 1265! +[2024-05-25 10:20:05,611] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:20:05,611] - INFO: Eval PSNR (current): 37.900 (1265) SSIM (current): 0.9606 (1265) +[2024-05-25 10:20:05,611] - INFO: Evaluation over. +[2024-05-25 10:20:26,376] - INFO: Epoch 1266/9999, Iter 126520: Loss = 0.01646973192691803, lr = [0.0001] +[2024-05-25 10:20:53,554] - INFO: Epoch 1266/9999, Iter 126560: Loss = 0.006306121591478586, lr = [0.0001] +[2024-05-25 10:21:22,025] - INFO: Epoch 1267/9999, Iter 126600: Loss = 0.017835162580013275, lr = [0.0001] +[2024-05-25 10:21:49,367] - INFO: Epoch 1267/9999, Iter 126640: Loss = 0.017190096899867058, lr = [0.0001] +[2024-05-25 10:22:16,543] - INFO: Epoch 1267/9999, Iter 126680: Loss = 0.009248240850865841, lr = [0.0001] +[2024-05-25 10:22:45,143] - INFO: Epoch 1268/9999, Iter 126720: Loss = 0.009428536519408226, lr = [0.0001] +[2024-05-25 10:23:12,361] - INFO: Epoch 1268/9999, Iter 126760: Loss = 0.011040699668228626, lr = [0.0001] +[2024-05-25 10:23:40,798] - INFO: Epoch 1269/9999, Iter 126800: Loss = 0.018670765683054924, lr = [0.0001] +[2024-05-25 10:24:08,106] - INFO: Epoch 1269/9999, Iter 126840: Loss = 0.013742886483669281, lr = [0.0001] +[2024-05-25 10:24:35,311] - INFO: Epoch 1269/9999, Iter 126880: Loss = 0.02187676727771759, lr = [0.0001] +[2024-05-25 10:25:04,144] - INFO: Epoch 1270/9999, Iter 126920: Loss = 0.014018571935594082, lr = [0.0001] +[2024-05-25 10:25:31,365] - INFO: Epoch 1270/9999, Iter 126960: Loss = 0.009497969411313534, lr = [0.0001] +[2024-05-25 10:25:58,300] - INFO: Evaluate at epoch 1270! +[2024-05-25 10:26:03,133] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:26:03,134] - INFO: Eval PSNR (current): 37.944 (1270) SSIM (current): 0.9608 (1270) +[2024-05-25 10:26:03,134] - INFO: Evaluation over. +[2024-05-25 10:26:09,939] - INFO: Epoch 1271/9999, Iter 127000: Loss = 0.010935966856777668, lr = [0.0001] +[2024-05-25 10:26:37,258] - INFO: Epoch 1271/9999, Iter 127040: Loss = 0.011322665959596634, lr = [0.0001] +[2024-05-25 10:27:04,529] - INFO: Epoch 1271/9999, Iter 127080: Loss = 0.0173017755150795, lr = [0.0001] +[2024-05-25 10:27:33,139] - INFO: Epoch 1272/9999, Iter 127120: Loss = 0.012184766121208668, lr = [0.0001] +[2024-05-25 10:28:00,366] - INFO: Epoch 1272/9999, Iter 127160: Loss = 0.011302304454147816, lr = [0.0001] +[2024-05-25 10:28:28,816] - INFO: Epoch 1273/9999, Iter 127200: Loss = 0.013145565055310726, lr = [0.0001] +[2024-05-25 10:28:56,075] - INFO: Epoch 1273/9999, Iter 127240: Loss = 0.010540353134274483, lr = [0.0001] +[2024-05-25 10:29:23,293] - INFO: Epoch 1273/9999, Iter 127280: Loss = 0.01223572064191103, lr = [0.0001] +[2024-05-25 10:29:52,093] - INFO: Epoch 1274/9999, Iter 127320: Loss = 0.01875131204724312, lr = [0.0001] +[2024-05-25 10:30:19,304] - INFO: Epoch 1274/9999, Iter 127360: Loss = 0.0173723716288805, lr = [0.0001] +[2024-05-25 10:30:47,797] - INFO: Epoch 1275/9999, Iter 127400: Loss = 0.016158899292349815, lr = [0.0001] +[2024-05-25 10:31:15,078] - INFO: Epoch 1275/9999, Iter 127440: Loss = 0.011134697124361992, lr = [0.0001] +[2024-05-25 10:31:42,226] - INFO: Epoch 1275/9999, Iter 127480: Loss = 0.024380408227443695, lr = [0.0001] +[2024-05-25 10:31:55,506] - INFO: Evaluate at epoch 1275! +[2024-05-25 10:32:00,473] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:32:00,473] - INFO: Eval PSNR (current): 37.794 (1275) SSIM (current): 0.9608 (1275) +[2024-05-25 10:32:00,474] - INFO: Evaluation over. +[2024-05-25 10:32:21,079] - INFO: Epoch 1276/9999, Iter 127520: Loss = 0.012533457018435001, lr = [0.0001] +[2024-05-25 10:32:48,259] - INFO: Epoch 1276/9999, Iter 127560: Loss = 0.012546425685286522, lr = [0.0001] +[2024-05-25 10:33:16,900] - INFO: Epoch 1277/9999, Iter 127600: Loss = 0.012262526899576187, lr = [0.0001] +[2024-05-25 10:33:44,310] - INFO: Epoch 1277/9999, Iter 127640: Loss = 0.014464734122157097, lr = [0.0001] +[2024-05-25 10:34:11,516] - INFO: Epoch 1277/9999, Iter 127680: Loss = 0.005446511320769787, lr = [0.0001] +[2024-05-25 10:34:40,421] - INFO: Epoch 1278/9999, Iter 127720: Loss = 0.014970808289945126, lr = [0.0001] +[2024-05-25 10:35:07,657] - INFO: Epoch 1278/9999, Iter 127760: Loss = 0.017765739932656288, lr = [0.0001] +[2024-05-25 10:35:36,143] - INFO: Epoch 1279/9999, Iter 127800: Loss = 0.023707479238510132, lr = [0.0001] +[2024-05-25 10:36:03,427] - INFO: Epoch 1279/9999, Iter 127840: Loss = 0.00845402292907238, lr = [0.0001] +[2024-05-25 10:36:30,647] - INFO: Epoch 1279/9999, Iter 127880: Loss = 0.012913173995912075, lr = [0.0001] +[2024-05-25 10:36:59,309] - INFO: Epoch 1280/9999, Iter 127920: Loss = 0.006926103960722685, lr = [0.0001] +[2024-05-25 10:37:26,501] - INFO: Epoch 1280/9999, Iter 127960: Loss = 0.01696392521262169, lr = [0.0001] +[2024-05-25 10:37:53,386] - INFO: Evaluate at epoch 1280! +[2024-05-25 10:37:58,309] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:37:58,310] - INFO: Eval PSNR (current): 37.993 (1280) SSIM (current): 0.9608 (1280) +[2024-05-25 10:37:58,310] - INFO: Evaluation over. +[2024-05-25 10:38:05,132] - INFO: Epoch 1281/9999, Iter 128000: Loss = 0.006154283881187439, lr = [0.0001] +[2024-05-25 10:38:32,332] - INFO: Epoch 1281/9999, Iter 128040: Loss = 0.009951643645763397, lr = [0.0001] +[2024-05-25 10:38:59,525] - INFO: Epoch 1281/9999, Iter 128080: Loss = 0.022601794451475143, lr = [0.0001] +[2024-05-25 10:39:28,096] - INFO: Epoch 1282/9999, Iter 128120: Loss = 0.0073300497606396675, lr = [0.0001] +[2024-05-25 10:39:55,285] - INFO: Epoch 1282/9999, Iter 128160: Loss = 0.014297178946435452, lr = [0.0001] +[2024-05-25 10:40:23,781] - INFO: Epoch 1283/9999, Iter 128200: Loss = 0.011653686873614788, lr = [0.0001] +[2024-05-25 10:40:51,142] - INFO: Epoch 1283/9999, Iter 128240: Loss = 0.01644827611744404, lr = [0.0001] +[2024-05-25 10:41:18,338] - INFO: Epoch 1283/9999, Iter 128280: Loss = 0.008650870993733406, lr = [0.0001] +[2024-05-25 10:41:47,295] - INFO: Epoch 1284/9999, Iter 128320: Loss = 0.018985476344823837, lr = [0.0001] +[2024-05-25 10:42:14,502] - INFO: Epoch 1284/9999, Iter 128360: Loss = 0.02069317363202572, lr = [0.0001] +[2024-05-25 10:42:43,053] - INFO: Epoch 1285/9999, Iter 128400: Loss = 0.008865045383572578, lr = [0.0001] +[2024-05-25 10:43:10,443] - INFO: Epoch 1285/9999, Iter 128440: Loss = 0.011565107852220535, lr = [0.0001] +[2024-05-25 10:43:37,668] - INFO: Epoch 1285/9999, Iter 128480: Loss = 0.009544472210109234, lr = [0.0001] +[2024-05-25 10:43:50,973] - INFO: Evaluate at epoch 1285! +[2024-05-25 10:43:55,647] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:43:55,648] - INFO: Eval PSNR (current): 37.570 (1285) SSIM (current): 0.9605 (1285) +[2024-05-25 10:43:55,648] - INFO: Evaluation over. +[2024-05-25 10:44:15,920] - INFO: Epoch 1286/9999, Iter 128520: Loss = 0.019025059416890144, lr = [0.0001] +[2024-05-25 10:44:43,135] - INFO: Epoch 1286/9999, Iter 128560: Loss = 0.00684709008783102, lr = [0.0001] +[2024-05-25 10:45:11,773] - INFO: Epoch 1287/9999, Iter 128600: Loss = 0.012752234004437923, lr = [0.0001] +[2024-05-25 10:45:39,089] - INFO: Epoch 1287/9999, Iter 128640: Loss = 0.017196238040924072, lr = [0.0001] +[2024-05-25 10:46:06,331] - INFO: Epoch 1287/9999, Iter 128680: Loss = 0.010340379551053047, lr = [0.0001] +[2024-05-25 10:46:35,245] - INFO: Epoch 1288/9999, Iter 128720: Loss = 0.011398452334105968, lr = [0.0001] +[2024-05-25 10:47:02,438] - INFO: Epoch 1288/9999, Iter 128760: Loss = 0.008974103257060051, lr = [0.0001] +[2024-05-25 10:47:30,980] - INFO: Epoch 1289/9999, Iter 128800: Loss = 0.02079588547348976, lr = [0.0001] +[2024-05-25 10:47:58,390] - INFO: Epoch 1289/9999, Iter 128840: Loss = 0.017107805237174034, lr = [0.0001] +[2024-05-25 10:48:25,542] - INFO: Epoch 1289/9999, Iter 128880: Loss = 0.009527676738798618, lr = [0.0001] +[2024-05-25 10:48:54,114] - INFO: Epoch 1290/9999, Iter 128920: Loss = 0.010756966657936573, lr = [0.0001] +[2024-05-25 10:49:21,332] - INFO: Epoch 1290/9999, Iter 128960: Loss = 0.0159879419952631, lr = [0.0001] +[2024-05-25 10:49:48,305] - INFO: Evaluate at epoch 1290! +[2024-05-25 10:49:53,046] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:49:53,047] - INFO: Eval PSNR (current): 38.047 (1290) SSIM (current): 0.9609 (1290) +[2024-05-25 10:49:53,047] - INFO: Evaluation over. +[2024-05-25 10:49:59,844] - INFO: Epoch 1291/9999, Iter 129000: Loss = 0.013070126064121723, lr = [0.0001] +[2024-05-25 10:50:27,108] - INFO: Epoch 1291/9999, Iter 129040: Loss = 0.010951410979032516, lr = [0.0001] +[2024-05-25 10:50:54,277] - INFO: Epoch 1291/9999, Iter 129080: Loss = 0.017814043909311295, lr = [0.0001] +[2024-05-25 10:51:22,947] - INFO: Epoch 1292/9999, Iter 129120: Loss = 0.005907055456191301, lr = [0.0001] +[2024-05-25 10:51:50,130] - INFO: Epoch 1292/9999, Iter 129160: Loss = 0.016397561877965927, lr = [0.0001] +[2024-05-25 10:52:19,057] - INFO: Epoch 1293/9999, Iter 129200: Loss = 0.01881800778210163, lr = [0.0001] +[2024-05-25 10:52:46,408] - INFO: Epoch 1293/9999, Iter 129240: Loss = 0.015591568313539028, lr = [0.0001] +[2024-05-25 10:53:13,622] - INFO: Epoch 1293/9999, Iter 129280: Loss = 0.020509017631411552, lr = [0.0001] +[2024-05-25 10:53:42,202] - INFO: Epoch 1294/9999, Iter 129320: Loss = 0.014209317043423653, lr = [0.0001] +[2024-05-25 10:54:09,372] - INFO: Epoch 1294/9999, Iter 129360: Loss = 0.013325318694114685, lr = [0.0001] +[2024-05-25 10:54:38,197] - INFO: Epoch 1295/9999, Iter 129400: Loss = 0.006273791193962097, lr = [0.0001] +[2024-05-25 10:55:05,562] - INFO: Epoch 1295/9999, Iter 129440: Loss = 0.009550141170620918, lr = [0.0001] +[2024-05-25 10:55:32,840] - INFO: Epoch 1295/9999, Iter 129480: Loss = 0.009110033512115479, lr = [0.0001] +[2024-05-25 10:55:46,134] - INFO: Evaluate at epoch 1295! +[2024-05-25 10:55:50,771] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:55:50,771] - INFO: Eval PSNR (current): 38.037 (1295) SSIM (current): 0.9609 (1295) +[2024-05-25 10:55:50,771] - INFO: Evaluation over. +[2024-05-25 10:56:11,316] - INFO: Epoch 1296/9999, Iter 129520: Loss = 0.016247184947133064, lr = [0.0001] +[2024-05-25 10:56:38,525] - INFO: Epoch 1296/9999, Iter 129560: Loss = 0.008973625488579273, lr = [0.0001] +[2024-05-25 10:57:06,800] - INFO: Epoch 1297/9999, Iter 129600: Loss = 0.014583210460841656, lr = [0.0001] +[2024-05-25 10:57:34,043] - INFO: Epoch 1297/9999, Iter 129640: Loss = 0.01178259588778019, lr = [0.0001] +[2024-05-25 10:58:01,270] - INFO: Epoch 1297/9999, Iter 129680: Loss = 0.018874958157539368, lr = [0.0001] +[2024-05-25 10:58:29,990] - INFO: Epoch 1298/9999, Iter 129720: Loss = 0.01389530673623085, lr = [0.0001] +[2024-05-25 10:58:57,207] - INFO: Epoch 1298/9999, Iter 129760: Loss = 0.01416407898068428, lr = [0.0001] +[2024-05-25 10:59:25,804] - INFO: Epoch 1299/9999, Iter 129800: Loss = 0.009799106977880001, lr = [0.0001] +[2024-05-25 10:59:53,091] - INFO: Epoch 1299/9999, Iter 129840: Loss = 0.015174578875303268, lr = [0.0001] +[2024-05-25 11:00:20,263] - INFO: Epoch 1299/9999, Iter 129880: Loss = 0.012217149138450623, lr = [0.0001] +[2024-05-25 11:00:48,978] - INFO: Epoch 1300/9999, Iter 129920: Loss = 0.006817496381700039, lr = [0.0001] +[2024-05-25 11:01:16,158] - INFO: Epoch 1300/9999, Iter 129960: Loss = 0.009632298722863197, lr = [0.0001] +[2024-05-25 11:01:43,045] - INFO: Evaluate at epoch 1300! +[2024-05-25 11:01:47,876] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:01:47,876] - INFO: Eval PSNR (current): 38.023 (1300) SSIM (current): 0.9609 (1300) +[2024-05-25 11:01:47,876] - INFO: Evaluation over. +[2024-05-25 11:01:55,263] - INFO: Epoch 1301/9999, Iter 130000: Loss = 0.012613673694431782, lr = [0.0001] +[2024-05-25 11:02:22,531] - INFO: Epoch 1301/9999, Iter 130040: Loss = 0.014173523522913456, lr = [0.0001] +[2024-05-25 11:02:49,798] - INFO: Epoch 1301/9999, Iter 130080: Loss = 0.007218103855848312, lr = [0.0001] +[2024-05-25 11:03:18,468] - INFO: Epoch 1302/9999, Iter 130120: Loss = 0.0075458260253071785, lr = [0.0001] +[2024-05-25 11:03:45,678] - INFO: Epoch 1302/9999, Iter 130160: Loss = 0.012055599130690098, lr = [0.0001] +[2024-05-25 11:04:14,036] - INFO: Epoch 1303/9999, Iter 130200: Loss = 0.02023882418870926, lr = [0.0001] +[2024-05-25 11:04:41,335] - INFO: Epoch 1303/9999, Iter 130240: Loss = 0.009771766141057014, lr = [0.0001] +[2024-05-25 11:05:08,554] - INFO: Epoch 1303/9999, Iter 130280: Loss = 0.01066195871680975, lr = [0.0001] +[2024-05-25 11:05:37,130] - INFO: Epoch 1304/9999, Iter 130320: Loss = 0.015988625586032867, lr = [0.0001] +[2024-05-25 11:06:04,358] - INFO: Epoch 1304/9999, Iter 130360: Loss = 0.018961960449814796, lr = [0.0001] +[2024-05-25 11:06:32,823] - INFO: Epoch 1305/9999, Iter 130400: Loss = 0.009138395078480244, lr = [0.0001] +[2024-05-25 11:07:00,109] - INFO: Epoch 1305/9999, Iter 130440: Loss = 0.009915263392031193, lr = [0.0001] +[2024-05-25 11:07:27,331] - INFO: Epoch 1305/9999, Iter 130480: Loss = 0.017174601554870605, lr = [0.0001] +[2024-05-25 11:07:40,588] - INFO: Evaluate at epoch 1305! +[2024-05-25 11:07:45,438] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:07:45,438] - INFO: Eval PSNR (current): 37.894 (1305) SSIM (current): 0.9609 (1305) +[2024-05-25 11:07:45,438] - INFO: Evaluation over. +[2024-05-25 11:08:06,216] - INFO: Epoch 1306/9999, Iter 130520: Loss = 0.008769286796450615, lr = [0.0001] +[2024-05-25 11:08:33,467] - INFO: Epoch 1306/9999, Iter 130560: Loss = 0.012493632733821869, lr = [0.0001] +[2024-05-25 11:09:02,076] - INFO: Epoch 1307/9999, Iter 130600: Loss = 0.010796697810292244, lr = [0.0001] +[2024-05-25 11:09:29,347] - INFO: Epoch 1307/9999, Iter 130640: Loss = 0.008568162098526955, lr = [0.0001] +[2024-05-25 11:09:56,540] - INFO: Epoch 1307/9999, Iter 130680: Loss = 0.011042285710573196, lr = [0.0001] +[2024-05-25 11:10:25,090] - INFO: Epoch 1308/9999, Iter 130720: Loss = 0.019056417047977448, lr = [0.0001] +[2024-05-25 11:10:52,361] - INFO: Epoch 1308/9999, Iter 130760: Loss = 0.010459231212735176, lr = [0.0001] +[2024-05-25 11:11:20,741] - INFO: Epoch 1309/9999, Iter 130800: Loss = 0.015320241451263428, lr = [0.0001] +[2024-05-25 11:11:48,025] - INFO: Epoch 1309/9999, Iter 130840: Loss = 0.01788821630179882, lr = [0.0001] +[2024-05-25 11:12:15,195] - INFO: Epoch 1309/9999, Iter 130880: Loss = 0.020326169207692146, lr = [0.0001] +[2024-05-25 11:12:43,832] - INFO: Epoch 1310/9999, Iter 130920: Loss = 0.0069575742818415165, lr = [0.0001] +[2024-05-25 11:13:11,029] - INFO: Epoch 1310/9999, Iter 130960: Loss = 0.012286574579775333, lr = [0.0001] +[2024-05-25 11:13:37,862] - INFO: Evaluate at epoch 1310! +[2024-05-25 11:13:42,717] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:13:42,718] - INFO: Eval PSNR (current): 38.047 (1310) SSIM (current): 0.9609 (1310) +[2024-05-25 11:13:42,718] - INFO: Evaluation over. +[2024-05-25 11:13:49,878] - INFO: Epoch 1311/9999, Iter 131000: Loss = 0.012437839061021805, lr = [0.0001] +[2024-05-25 11:14:17,128] - INFO: Epoch 1311/9999, Iter 131040: Loss = 0.016297722235322, lr = [0.0001] +[2024-05-25 11:14:44,361] - INFO: Epoch 1311/9999, Iter 131080: Loss = 0.008256719447672367, lr = [0.0001] +[2024-05-25 11:15:13,134] - INFO: Epoch 1312/9999, Iter 131120: Loss = 0.020886002108454704, lr = [0.0001] +[2024-05-25 11:15:40,400] - INFO: Epoch 1312/9999, Iter 131160: Loss = 0.009441309608519077, lr = [0.0001] +[2024-05-25 11:16:08,794] - INFO: Epoch 1313/9999, Iter 131200: Loss = 0.01160653680562973, lr = [0.0001] +[2024-05-25 11:16:36,079] - INFO: Epoch 1313/9999, Iter 131240: Loss = 0.0125276492908597, lr = [0.0001] +[2024-05-25 11:17:03,231] - INFO: Epoch 1313/9999, Iter 131280: Loss = 0.009296005591750145, lr = [0.0001] +[2024-05-25 11:17:32,038] - INFO: Epoch 1314/9999, Iter 131320: Loss = 0.009969932027161121, lr = [0.0001] +[2024-05-25 11:17:59,240] - INFO: Epoch 1314/9999, Iter 131360: Loss = 0.009691490791738033, lr = [0.0001] +[2024-05-25 11:18:27,965] - INFO: Epoch 1315/9999, Iter 131400: Loss = 0.01876518316566944, lr = [0.0001] +[2024-05-25 11:18:55,155] - INFO: Epoch 1315/9999, Iter 131440: Loss = 0.007418873254209757, lr = [0.0001] +[2024-05-25 11:19:22,413] - INFO: Epoch 1315/9999, Iter 131480: Loss = 0.009733122773468494, lr = [0.0001] +[2024-05-25 11:19:35,756] - INFO: Evaluate at epoch 1315! +[2024-05-25 11:19:40,581] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:19:40,582] - INFO: Eval PSNR (current): 37.992 (1315) SSIM (current): 0.9609 (1315) +[2024-05-25 11:19:40,582] - INFO: Evaluation over. +[2024-05-25 11:20:01,951] - INFO: Epoch 1316/9999, Iter 131520: Loss = 0.01042884774506092, lr = [0.0001] +[2024-05-25 11:20:29,139] - INFO: Epoch 1316/9999, Iter 131560: Loss = 0.013738458976149559, lr = [0.0001] +[2024-05-25 11:20:57,548] - INFO: Epoch 1317/9999, Iter 131600: Loss = 0.008893788792192936, lr = [0.0001] +[2024-05-25 11:21:24,862] - INFO: Epoch 1317/9999, Iter 131640: Loss = 0.022089220583438873, lr = [0.0001] +[2024-05-25 11:21:52,064] - INFO: Epoch 1317/9999, Iter 131680: Loss = 0.009977592155337334, lr = [0.0001] +[2024-05-25 11:22:20,718] - INFO: Epoch 1318/9999, Iter 131720: Loss = 0.01320192776620388, lr = [0.0001] +[2024-05-25 11:22:47,869] - INFO: Epoch 1318/9999, Iter 131760: Loss = 0.008238086476922035, lr = [0.0001] +[2024-05-25 11:23:16,263] - INFO: Epoch 1319/9999, Iter 131800: Loss = 0.017309781163930893, lr = [0.0001] +[2024-05-25 11:23:43,647] - INFO: Epoch 1319/9999, Iter 131840: Loss = 0.008568823337554932, lr = [0.0001] +[2024-05-25 11:24:10,854] - INFO: Epoch 1319/9999, Iter 131880: Loss = 0.008995287120342255, lr = [0.0001] +[2024-05-25 11:24:39,420] - INFO: Epoch 1320/9999, Iter 131920: Loss = 0.01482614316046238, lr = [0.0001] +[2024-05-25 11:25:06,588] - INFO: Epoch 1320/9999, Iter 131960: Loss = 0.01262219063937664, lr = [0.0001] +[2024-05-25 11:25:33,518] - INFO: Evaluate at epoch 1320! +[2024-05-25 11:25:38,229] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:25:38,229] - INFO: Eval PSNR (current): 38.006 (1320) SSIM (current): 0.9609 (1320) +[2024-05-25 11:25:38,229] - INFO: Evaluation over. +[2024-05-25 11:25:45,214] - INFO: Epoch 1321/9999, Iter 132000: Loss = 0.010282676666975021, lr = [0.0001] +[2024-05-25 11:26:12,511] - INFO: Epoch 1321/9999, Iter 132040: Loss = 0.005847078748047352, lr = [0.0001] +[2024-05-25 11:26:39,700] - INFO: Epoch 1321/9999, Iter 132080: Loss = 0.009761459194123745, lr = [0.0001] +[2024-05-25 11:27:08,383] - INFO: Epoch 1322/9999, Iter 132120: Loss = 0.01686675101518631, lr = [0.0001] +[2024-05-25 11:27:35,631] - INFO: Epoch 1322/9999, Iter 132160: Loss = 0.01430438831448555, lr = [0.0001] +[2024-05-25 11:28:04,090] - INFO: Epoch 1323/9999, Iter 132200: Loss = 0.009817750193178654, lr = [0.0001] +[2024-05-25 11:28:31,395] - INFO: Epoch 1323/9999, Iter 132240: Loss = 0.012469672597944736, lr = [0.0001] +[2024-05-25 11:28:58,562] - INFO: Epoch 1323/9999, Iter 132280: Loss = 0.008611517958343029, lr = [0.0001] +[2024-05-25 11:29:27,319] - INFO: Epoch 1324/9999, Iter 132320: Loss = 0.014148776419460773, lr = [0.0001] +[2024-05-25 11:29:54,479] - INFO: Epoch 1324/9999, Iter 132360: Loss = 0.016983268782496452, lr = [0.0001] +[2024-05-25 11:30:22,818] - INFO: Epoch 1325/9999, Iter 132400: Loss = 0.007865621708333492, lr = [0.0001] +[2024-05-25 11:30:50,184] - INFO: Epoch 1325/9999, Iter 132440: Loss = 0.010830243118107319, lr = [0.0001] +[2024-05-25 11:31:17,414] - INFO: Epoch 1325/9999, Iter 132480: Loss = 0.01048104278743267, lr = [0.0001] +[2024-05-25 11:31:30,719] - INFO: Evaluate at epoch 1325! +[2024-05-25 11:31:40,623] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:31:40,623] - INFO: Eval PSNR (current): 38.055 (1325) SSIM (current): 0.9610 (1325) +[2024-05-25 11:31:40,623] - INFO: Evaluation over. +[2024-05-25 11:32:01,120] - INFO: Epoch 1326/9999, Iter 132520: Loss = 0.01157921552658081, lr = [0.0001] +[2024-05-25 11:32:28,355] - INFO: Epoch 1326/9999, Iter 132560: Loss = 0.01433712150901556, lr = [0.0001] +[2024-05-25 11:32:57,017] - INFO: Epoch 1327/9999, Iter 132600: Loss = 0.01626448705792427, lr = [0.0001] +[2024-05-25 11:33:24,423] - INFO: Epoch 1327/9999, Iter 132640: Loss = 0.019205858930945396, lr = [0.0001] +[2024-05-25 11:33:51,626] - INFO: Epoch 1327/9999, Iter 132680: Loss = 0.019176973029971123, lr = [0.0001] +[2024-05-25 11:34:20,512] - INFO: Epoch 1328/9999, Iter 132720: Loss = 0.011353581212460995, lr = [0.0001] +[2024-05-25 11:34:47,727] - INFO: Epoch 1328/9999, Iter 132760: Loss = 0.011995265260338783, lr = [0.0001] +[2024-05-25 11:35:16,284] - INFO: Epoch 1329/9999, Iter 132800: Loss = 0.014650850556790829, lr = [0.0001] +[2024-05-25 11:35:43,559] - INFO: Epoch 1329/9999, Iter 132840: Loss = 0.006867935415357351, lr = [0.0001] +[2024-05-25 11:36:10,750] - INFO: Epoch 1329/9999, Iter 132880: Loss = 0.010191754437983036, lr = [0.0001] +[2024-05-25 11:36:39,296] - INFO: Epoch 1330/9999, Iter 132920: Loss = 0.01482679694890976, lr = [0.0001] +[2024-05-25 11:37:06,519] - INFO: Epoch 1330/9999, Iter 132960: Loss = 0.011951068416237831, lr = [0.0001] +[2024-05-25 11:37:33,453] - INFO: Evaluate at epoch 1330! +[2024-05-25 11:37:38,358] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:37:38,358] - INFO: Eval PSNR (current): 38.039 (1330) SSIM (current): 0.9608 (1330) +[2024-05-25 11:37:38,358] - INFO: Evaluation over. +[2024-05-25 11:37:45,136] - INFO: Epoch 1331/9999, Iter 133000: Loss = 0.008405192755162716, lr = [0.0001] +[2024-05-25 11:38:12,365] - INFO: Epoch 1331/9999, Iter 133040: Loss = 0.0065109278075397015, lr = [0.0001] +[2024-05-25 11:38:39,575] - INFO: Epoch 1331/9999, Iter 133080: Loss = 0.014933804981410503, lr = [0.0001] +[2024-05-25 11:39:08,295] - INFO: Epoch 1332/9999, Iter 133120: Loss = 0.01372806541621685, lr = [0.0001] +[2024-05-25 11:39:35,476] - INFO: Epoch 1332/9999, Iter 133160: Loss = 0.023204516619443893, lr = [0.0001] +[2024-05-25 11:40:04,116] - INFO: Epoch 1333/9999, Iter 133200: Loss = 0.012852995656430721, lr = [0.0001] +[2024-05-25 11:40:31,336] - INFO: Epoch 1333/9999, Iter 133240: Loss = 0.010759948752820492, lr = [0.0001] +[2024-05-25 11:40:58,536] - INFO: Epoch 1333/9999, Iter 133280: Loss = 0.011544019915163517, lr = [0.0001] +[2024-05-25 11:41:27,375] - INFO: Epoch 1334/9999, Iter 133320: Loss = 0.0118575319647789, lr = [0.0001] +[2024-05-25 11:41:54,634] - INFO: Epoch 1334/9999, Iter 133360: Loss = 0.023769916966557503, lr = [0.0001] +[2024-05-25 11:42:23,353] - INFO: Epoch 1335/9999, Iter 133400: Loss = 0.01081007905304432, lr = [0.0001] +[2024-05-25 11:42:50,567] - INFO: Epoch 1335/9999, Iter 133440: Loss = 0.024262620136141777, lr = [0.0001] +[2024-05-25 11:43:17,775] - INFO: Epoch 1335/9999, Iter 133480: Loss = 0.007370924111455679, lr = [0.0001] +[2024-05-25 11:43:31,073] - INFO: Evaluate at epoch 1335! +[2024-05-25 11:43:35,880] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:43:35,880] - INFO: Eval PSNR (current): 37.983 (1335) SSIM (current): 0.9608 (1335) +[2024-05-25 11:43:35,880] - INFO: Evaluation over. +[2024-05-25 11:43:56,492] - INFO: Epoch 1336/9999, Iter 133520: Loss = 0.015363001264631748, lr = [0.0001] +[2024-05-25 11:44:23,646] - INFO: Epoch 1336/9999, Iter 133560: Loss = 0.011971131898462772, lr = [0.0001] +[2024-05-25 11:44:52,420] - INFO: Epoch 1337/9999, Iter 133600: Loss = 0.019318534061312675, lr = [0.0001] +[2024-05-25 11:45:19,708] - INFO: Epoch 1337/9999, Iter 133640: Loss = 0.012591708451509476, lr = [0.0001] +[2024-05-25 11:45:46,936] - INFO: Epoch 1337/9999, Iter 133680: Loss = 0.011094123125076294, lr = [0.0001] +[2024-05-25 11:46:15,495] - INFO: Epoch 1338/9999, Iter 133720: Loss = 0.012786219827830791, lr = [0.0001] +[2024-05-25 11:46:42,731] - INFO: Epoch 1338/9999, Iter 133760: Loss = 0.014478432014584541, lr = [0.0001] +[2024-05-25 11:47:11,224] - INFO: Epoch 1339/9999, Iter 133800: Loss = 0.009377549402415752, lr = [0.0001] +[2024-05-25 11:47:38,523] - INFO: Epoch 1339/9999, Iter 133840: Loss = 0.011656945571303368, lr = [0.0001] +[2024-05-25 11:48:05,730] - INFO: Epoch 1339/9999, Iter 133880: Loss = 0.00639864057302475, lr = [0.0001] +[2024-05-25 11:48:34,387] - INFO: Epoch 1340/9999, Iter 133920: Loss = 0.014301726594567299, lr = [0.0001] +[2024-05-25 11:49:01,589] - INFO: Epoch 1340/9999, Iter 133960: Loss = 0.017140578478574753, lr = [0.0001] +[2024-05-25 11:49:28,484] - INFO: Evaluate at epoch 1340! +[2024-05-25 11:49:33,107] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:49:33,107] - INFO: Eval PSNR (current): 38.019 (1340) SSIM (current): 0.9608 (1340) +[2024-05-25 11:49:33,107] - INFO: Evaluation over. +[2024-05-25 11:49:39,891] - INFO: Epoch 1341/9999, Iter 134000: Loss = 0.011334637179970741, lr = [0.0001] +[2024-05-25 11:50:07,232] - INFO: Epoch 1341/9999, Iter 134040: Loss = 0.012236707843840122, lr = [0.0001] +[2024-05-25 11:50:34,416] - INFO: Epoch 1341/9999, Iter 134080: Loss = 0.016834605485200882, lr = [0.0001] +[2024-05-25 11:51:02,979] - INFO: Epoch 1342/9999, Iter 134120: Loss = 0.009720087051391602, lr = [0.0001] +[2024-05-25 11:51:30,194] - INFO: Epoch 1342/9999, Iter 134160: Loss = 0.015320608392357826, lr = [0.0001] +[2024-05-25 11:51:59,010] - INFO: Epoch 1343/9999, Iter 134200: Loss = 0.00785390567034483, lr = [0.0001] +[2024-05-25 11:52:26,308] - INFO: Epoch 1343/9999, Iter 134240: Loss = 0.013366999104619026, lr = [0.0001] +[2024-05-25 11:52:53,522] - INFO: Epoch 1343/9999, Iter 134280: Loss = 0.013811254873871803, lr = [0.0001] +[2024-05-25 11:53:22,157] - INFO: Epoch 1344/9999, Iter 134320: Loss = 0.010036884807050228, lr = [0.0001] +[2024-05-25 11:53:49,404] - INFO: Epoch 1344/9999, Iter 134360: Loss = 0.010077950544655323, lr = [0.0001] +[2024-05-25 11:54:18,040] - INFO: Epoch 1345/9999, Iter 134400: Loss = 0.016897859051823616, lr = [0.0001] +[2024-05-25 11:54:45,393] - INFO: Epoch 1345/9999, Iter 134440: Loss = 0.011736384592950344, lr = [0.0001] +[2024-05-25 11:55:12,556] - INFO: Epoch 1345/9999, Iter 134480: Loss = 0.009188059717416763, lr = [0.0001] +[2024-05-25 11:55:25,857] - INFO: Evaluate at epoch 1345! +[2024-05-25 11:55:30,741] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:55:30,741] - INFO: Eval PSNR (current): 37.976 (1345) SSIM (current): 0.9606 (1345) +[2024-05-25 11:55:30,741] - INFO: Evaluation over. +[2024-05-25 11:55:50,969] - INFO: Epoch 1346/9999, Iter 134520: Loss = 0.01673508621752262, lr = [0.0001] +[2024-05-25 11:56:18,119] - INFO: Epoch 1346/9999, Iter 134560: Loss = 0.009082663804292679, lr = [0.0001] +[2024-05-25 11:56:46,848] - INFO: Epoch 1347/9999, Iter 134600: Loss = 0.014464570209383965, lr = [0.0001] +[2024-05-25 11:57:14,121] - INFO: Epoch 1347/9999, Iter 134640: Loss = 0.011000625789165497, lr = [0.0001] +[2024-05-25 11:57:41,339] - INFO: Epoch 1347/9999, Iter 134680: Loss = 0.012916218489408493, lr = [0.0001] +[2024-05-25 11:58:10,136] - INFO: Epoch 1348/9999, Iter 134720: Loss = 0.00666852155700326, lr = [0.0001] +[2024-05-25 11:58:37,308] - INFO: Epoch 1348/9999, Iter 134760: Loss = 0.013703202828764915, lr = [0.0001] +[2024-05-25 11:59:05,886] - INFO: Epoch 1349/9999, Iter 134800: Loss = 0.011144024319946766, lr = [0.0001] +[2024-05-25 11:59:33,242] - INFO: Epoch 1349/9999, Iter 134840: Loss = 0.010993179865181446, lr = [0.0001] +[2024-05-25 12:00:00,414] - INFO: Epoch 1349/9999, Iter 134880: Loss = 0.008952472358942032, lr = [0.0001] +[2024-05-25 12:00:28,916] - INFO: Epoch 1350/9999, Iter 134920: Loss = 0.014064310118556023, lr = [0.0001] +[2024-05-25 12:00:56,116] - INFO: Epoch 1350/9999, Iter 134960: Loss = 0.011834586039185524, lr = [0.0001] +[2024-05-25 12:01:23,036] - INFO: Evaluate at epoch 1350! +[2024-05-25 12:01:27,815] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:01:27,815] - INFO: Eval PSNR (current): 37.563 (1350) SSIM (current): 0.9607 (1350) +[2024-05-25 12:01:27,815] - INFO: Evaluation over. +[2024-05-25 12:01:34,288] - INFO: Epoch 1351/9999, Iter 135000: Loss = 0.015054029412567616, lr = [0.0001] +[2024-05-25 12:02:01,519] - INFO: Epoch 1351/9999, Iter 135040: Loss = 0.010236943140625954, lr = [0.0001] +[2024-05-25 12:02:28,743] - INFO: Epoch 1351/9999, Iter 135080: Loss = 0.01123543456196785, lr = [0.0001] +[2024-05-25 12:02:57,473] - INFO: Epoch 1352/9999, Iter 135120: Loss = 0.009593317285180092, lr = [0.0001] +[2024-05-25 12:03:24,663] - INFO: Epoch 1352/9999, Iter 135160: Loss = 0.010555390268564224, lr = [0.0001] +[2024-05-25 12:03:53,221] - INFO: Epoch 1353/9999, Iter 135200: Loss = 0.01920628733932972, lr = [0.0001] +[2024-05-25 12:04:20,490] - INFO: Epoch 1353/9999, Iter 135240: Loss = 0.018426455557346344, lr = [0.0001] +[2024-05-25 12:04:47,775] - INFO: Epoch 1353/9999, Iter 135280: Loss = 0.00964275561273098, lr = [0.0001] +[2024-05-25 12:05:16,585] - INFO: Epoch 1354/9999, Iter 135320: Loss = 0.007855148985981941, lr = [0.0001] +[2024-05-25 12:05:43,831] - INFO: Epoch 1354/9999, Iter 135360: Loss = 0.011156952008605003, lr = [0.0001] +[2024-05-25 12:06:12,466] - INFO: Epoch 1355/9999, Iter 135400: Loss = 0.014147107489407063, lr = [0.0001] +[2024-05-25 12:06:39,750] - INFO: Epoch 1355/9999, Iter 135440: Loss = 0.022960640490055084, lr = [0.0001] +[2024-05-25 12:07:06,951] - INFO: Epoch 1355/9999, Iter 135480: Loss = 0.019264711067080498, lr = [0.0001] +[2024-05-25 12:07:20,303] - INFO: Evaluate at epoch 1355! +[2024-05-25 12:07:25,110] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:07:25,110] - INFO: Eval PSNR (current): 37.952 (1355) SSIM (current): 0.9607 (1355) +[2024-05-25 12:07:25,110] - INFO: Evaluation over. +[2024-05-25 12:07:45,510] - INFO: Epoch 1356/9999, Iter 135520: Loss = 0.008917060680687428, lr = [0.0001] +[2024-05-25 12:08:12,711] - INFO: Epoch 1356/9999, Iter 135560: Loss = 0.010185252875089645, lr = [0.0001] +[2024-05-25 12:08:41,314] - INFO: Epoch 1357/9999, Iter 135600: Loss = 0.00875590555369854, lr = [0.0001] +[2024-05-25 12:09:08,553] - INFO: Epoch 1357/9999, Iter 135640: Loss = 0.00687692454084754, lr = [0.0001] +[2024-05-25 12:09:35,794] - INFO: Epoch 1357/9999, Iter 135680: Loss = 0.005660003516823053, lr = [0.0001] +[2024-05-25 12:10:04,296] - INFO: Epoch 1358/9999, Iter 135720: Loss = 0.008952159434556961, lr = [0.0001] +[2024-05-25 12:10:31,520] - INFO: Epoch 1358/9999, Iter 135760: Loss = 0.013496017083525658, lr = [0.0001] +[2024-05-25 12:11:00,275] - INFO: Epoch 1359/9999, Iter 135800: Loss = 0.011249903589487076, lr = [0.0001] +[2024-05-25 12:11:27,617] - INFO: Epoch 1359/9999, Iter 135840: Loss = 0.006893359590321779, lr = [0.0001] +[2024-05-25 12:11:54,788] - INFO: Epoch 1359/9999, Iter 135880: Loss = 0.017354462295770645, lr = [0.0001] +[2024-05-25 12:12:23,398] - INFO: Epoch 1360/9999, Iter 135920: Loss = 0.008583227172493935, lr = [0.0001] +[2024-05-25 12:12:50,618] - INFO: Epoch 1360/9999, Iter 135960: Loss = 0.02110055461525917, lr = [0.0001] +[2024-05-25 12:13:17,487] - INFO: Evaluate at epoch 1360! +[2024-05-25 12:13:22,334] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:13:22,334] - INFO: Eval PSNR (current): 38.006 (1360) SSIM (current): 0.9608 (1360) +[2024-05-25 12:13:22,334] - INFO: Evaluation over. +[2024-05-25 12:13:29,007] - INFO: Epoch 1361/9999, Iter 136000: Loss = 0.01724306121468544, lr = [0.0001] +[2024-05-25 12:13:56,248] - INFO: Epoch 1361/9999, Iter 136040: Loss = 0.02015531435608864, lr = [0.0001] +[2024-05-25 12:14:23,453] - INFO: Epoch 1361/9999, Iter 136080: Loss = 0.009502693079411983, lr = [0.0001] +[2024-05-25 12:14:52,207] - INFO: Epoch 1362/9999, Iter 136120: Loss = 0.013080400414764881, lr = [0.0001] +[2024-05-25 12:15:19,435] - INFO: Epoch 1362/9999, Iter 136160: Loss = 0.01605372317135334, lr = [0.0001] +[2024-05-25 12:15:48,061] - INFO: Epoch 1363/9999, Iter 136200: Loss = 0.00915247667580843, lr = [0.0001] +[2024-05-25 12:16:15,367] - INFO: Epoch 1363/9999, Iter 136240: Loss = 0.016992099583148956, lr = [0.0001] +[2024-05-25 12:16:42,618] - INFO: Epoch 1363/9999, Iter 136280: Loss = 0.008122744038701057, lr = [0.0001] +[2024-05-25 12:17:11,344] - INFO: Epoch 1364/9999, Iter 136320: Loss = 0.015881888568401337, lr = [0.0001] +[2024-05-25 12:17:38,492] - INFO: Epoch 1364/9999, Iter 136360: Loss = 0.007203080225735903, lr = [0.0001] +[2024-05-25 12:18:06,989] - INFO: Epoch 1365/9999, Iter 136400: Loss = 0.015506650321185589, lr = [0.0001] +[2024-05-25 12:18:34,264] - INFO: Epoch 1365/9999, Iter 136440: Loss = 0.010359914042055607, lr = [0.0001] +[2024-05-25 12:19:01,530] - INFO: Epoch 1365/9999, Iter 136480: Loss = 0.031005147844552994, lr = [0.0001] +[2024-05-25 12:19:14,918] - INFO: Evaluate at epoch 1365! +[2024-05-25 12:19:19,775] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:19:19,775] - INFO: Eval PSNR (current): 37.977 (1365) SSIM (current): 0.9607 (1365) +[2024-05-25 12:19:19,776] - INFO: Evaluation over. +[2024-05-25 12:19:40,004] - INFO: Epoch 1366/9999, Iter 136520: Loss = 0.013678913936018944, lr = [0.0001] +[2024-05-25 12:20:07,210] - INFO: Epoch 1366/9999, Iter 136560: Loss = 0.014026384800672531, lr = [0.0001] +[2024-05-25 12:20:35,856] - INFO: Epoch 1367/9999, Iter 136600: Loss = 0.019815750420093536, lr = [0.0001] +[2024-05-25 12:21:03,153] - INFO: Epoch 1367/9999, Iter 136640: Loss = 0.01353576872497797, lr = [0.0001] +[2024-05-25 12:21:30,433] - INFO: Epoch 1367/9999, Iter 136680: Loss = 0.020508872345089912, lr = [0.0001] +[2024-05-25 12:21:59,228] - INFO: Epoch 1368/9999, Iter 136720: Loss = 0.009881691075861454, lr = [0.0001] +[2024-05-25 12:22:26,452] - INFO: Epoch 1368/9999, Iter 136760: Loss = 0.006239029578864574, lr = [0.0001] +[2024-05-25 12:22:55,204] - INFO: Epoch 1369/9999, Iter 136800: Loss = 0.01763511449098587, lr = [0.0001] +[2024-05-25 12:23:22,505] - INFO: Epoch 1369/9999, Iter 136840: Loss = 0.013990329578518867, lr = [0.0001] +[2024-05-25 12:23:49,720] - INFO: Epoch 1369/9999, Iter 136880: Loss = 0.014893160201609135, lr = [0.0001] +[2024-05-25 12:24:18,654] - INFO: Epoch 1370/9999, Iter 136920: Loss = 0.015420430339872837, lr = [0.0001] +[2024-05-25 12:24:45,838] - INFO: Epoch 1370/9999, Iter 136960: Loss = 0.010711051523685455, lr = [0.0001] +[2024-05-25 12:25:12,738] - INFO: Evaluate at epoch 1370! +[2024-05-25 12:25:17,558] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:25:17,558] - INFO: Eval PSNR (current): 37.979 (1370) SSIM (current): 0.9606 (1370) +[2024-05-25 12:25:17,558] - INFO: Evaluation over. +[2024-05-25 12:25:24,305] - INFO: Epoch 1371/9999, Iter 137000: Loss = 0.020494773983955383, lr = [0.0001] +[2024-05-25 12:25:51,543] - INFO: Epoch 1371/9999, Iter 137040: Loss = 0.01108768954873085, lr = [0.0001] +[2024-05-25 12:26:18,704] - INFO: Epoch 1371/9999, Iter 137080: Loss = 0.018624678254127502, lr = [0.0001] +[2024-05-25 12:26:47,255] - INFO: Epoch 1372/9999, Iter 137120: Loss = 0.012258385308086872, lr = [0.0001] +[2024-05-25 12:27:14,419] - INFO: Epoch 1372/9999, Iter 137160: Loss = 0.010196886956691742, lr = [0.0001] +[2024-05-25 12:27:42,918] - INFO: Epoch 1373/9999, Iter 137200: Loss = 0.006406405474990606, lr = [0.0001] +[2024-05-25 12:28:10,187] - INFO: Epoch 1373/9999, Iter 137240: Loss = 0.015555668622255325, lr = [0.0001] +[2024-05-25 12:28:37,376] - INFO: Epoch 1373/9999, Iter 137280: Loss = 0.012174050323665142, lr = [0.0001] +[2024-05-25 12:29:06,100] - INFO: Epoch 1374/9999, Iter 137320: Loss = 0.012610339559614658, lr = [0.0001] +[2024-05-25 12:29:33,296] - INFO: Epoch 1374/9999, Iter 137360: Loss = 0.014578557573258877, lr = [0.0001] +[2024-05-25 12:30:01,691] - INFO: Epoch 1375/9999, Iter 137400: Loss = 0.011277328245341778, lr = [0.0001] +[2024-05-25 12:30:29,032] - INFO: Epoch 1375/9999, Iter 137440: Loss = 0.017914358526468277, lr = [0.0001] +[2024-05-25 12:30:56,293] - INFO: Epoch 1375/9999, Iter 137480: Loss = 0.015516323037445545, lr = [0.0001] +[2024-05-25 12:31:09,622] - INFO: Evaluate at epoch 1375! +[2024-05-25 12:31:14,707] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:31:14,707] - INFO: Eval PSNR (current): 37.964 (1375) SSIM (current): 0.9605 (1375) +[2024-05-25 12:31:14,707] - INFO: Evaluation over. +[2024-05-25 12:31:36,631] - INFO: Epoch 1376/9999, Iter 137520: Loss = 0.008236460387706757, lr = [0.0001] +[2024-05-25 12:32:03,962] - INFO: Epoch 1376/9999, Iter 137560: Loss = 0.010798304341733456, lr = [0.0001] +[2024-05-25 12:32:32,632] - INFO: Epoch 1377/9999, Iter 137600: Loss = 0.009152773767709732, lr = [0.0001] +[2024-05-25 12:32:59,998] - INFO: Epoch 1377/9999, Iter 137640: Loss = 0.01298369187861681, lr = [0.0001] +[2024-05-25 12:33:27,327] - INFO: Epoch 1377/9999, Iter 137680: Loss = 0.01563570275902748, lr = [0.0001] +[2024-05-25 12:33:55,816] - INFO: Epoch 1378/9999, Iter 137720: Loss = 0.008391660638153553, lr = [0.0001] +[2024-05-25 12:34:23,056] - INFO: Epoch 1378/9999, Iter 137760: Loss = 0.010777258314192295, lr = [0.0001] +[2024-05-25 12:34:51,615] - INFO: Epoch 1379/9999, Iter 137800: Loss = 0.016196157783269882, lr = [0.0001] +[2024-05-25 12:35:18,964] - INFO: Epoch 1379/9999, Iter 137840: Loss = 0.012585368938744068, lr = [0.0001] +[2024-05-25 12:35:46,198] - INFO: Epoch 1379/9999, Iter 137880: Loss = 0.015411926433444023, lr = [0.0001] +[2024-05-25 12:36:14,689] - INFO: Epoch 1380/9999, Iter 137920: Loss = 0.013193751685321331, lr = [0.0001] +[2024-05-25 12:36:41,931] - INFO: Epoch 1380/9999, Iter 137960: Loss = 0.007742444518953562, lr = [0.0001] +[2024-05-25 12:37:08,909] - INFO: Evaluate at epoch 1380! +[2024-05-25 12:37:13,513] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:37:13,514] - INFO: Eval PSNR (current): 37.967 (1380) SSIM (current): 0.9608 (1380) +[2024-05-25 12:37:13,514] - INFO: Evaluation over. +[2024-05-25 12:37:21,979] - INFO: Epoch 1381/9999, Iter 138000: Loss = 0.009648894891142845, lr = [0.0001] +[2024-05-25 12:37:49,346] - INFO: Epoch 1381/9999, Iter 138040: Loss = 0.014107173308730125, lr = [0.0001] +[2024-05-25 12:38:16,643] - INFO: Epoch 1381/9999, Iter 138080: Loss = 0.007081200834363699, lr = [0.0001] +[2024-05-25 12:38:45,369] - INFO: Epoch 1382/9999, Iter 138120: Loss = 0.0135499844327569, lr = [0.0001] +[2024-05-25 12:39:12,668] - INFO: Epoch 1382/9999, Iter 138160: Loss = 0.01526973769068718, lr = [0.0001] +[2024-05-25 12:39:41,463] - INFO: Epoch 1383/9999, Iter 138200: Loss = 0.015738096088171005, lr = [0.0001] +[2024-05-25 12:40:08,837] - INFO: Epoch 1383/9999, Iter 138240: Loss = 0.01570461504161358, lr = [0.0001] +[2024-05-25 12:40:36,120] - INFO: Epoch 1383/9999, Iter 138280: Loss = 0.00840587355196476, lr = [0.0001] +[2024-05-25 12:41:04,786] - INFO: Epoch 1384/9999, Iter 138320: Loss = 0.013805199414491653, lr = [0.0001] +[2024-05-25 12:41:31,987] - INFO: Epoch 1384/9999, Iter 138360: Loss = 0.013325763866305351, lr = [0.0001] +[2024-05-25 12:42:00,846] - INFO: Epoch 1385/9999, Iter 138400: Loss = 0.012440968304872513, lr = [0.0001] +[2024-05-25 12:42:28,142] - INFO: Epoch 1385/9999, Iter 138440: Loss = 0.009561420418322086, lr = [0.0001] +[2024-05-25 12:42:55,461] - INFO: Epoch 1385/9999, Iter 138480: Loss = 0.006579624488949776, lr = [0.0001] +[2024-05-25 12:43:08,762] - INFO: Evaluate at epoch 1385! +[2024-05-25 12:43:13,662] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:43:13,662] - INFO: Eval PSNR (current): 37.960 (1385) SSIM (current): 0.9607 (1385) +[2024-05-25 12:43:13,662] - INFO: Evaluation over. +[2024-05-25 12:43:34,443] - INFO: Epoch 1386/9999, Iter 138520: Loss = 0.008427806198596954, lr = [0.0001] +[2024-05-25 12:44:01,722] - INFO: Epoch 1386/9999, Iter 138560: Loss = 0.015415688045322895, lr = [0.0001] +[2024-05-25 12:44:30,365] - INFO: Epoch 1387/9999, Iter 138600: Loss = 0.013232062570750713, lr = [0.0001] +[2024-05-25 12:44:57,747] - INFO: Epoch 1387/9999, Iter 138640: Loss = 0.017456265166401863, lr = [0.0001] +[2024-05-25 12:45:24,920] - INFO: Epoch 1387/9999, Iter 138680: Loss = 0.013600241392850876, lr = [0.0001] +[2024-05-25 12:45:53,520] - INFO: Epoch 1388/9999, Iter 138720: Loss = 0.007691886741667986, lr = [0.0001] +[2024-05-25 12:46:20,687] - INFO: Epoch 1388/9999, Iter 138760: Loss = 0.018538199365139008, lr = [0.0001] +[2024-05-25 12:46:49,121] - INFO: Epoch 1389/9999, Iter 138800: Loss = 0.008695145137608051, lr = [0.0001] +[2024-05-25 12:47:16,492] - INFO: Epoch 1389/9999, Iter 138840: Loss = 0.01420336402952671, lr = [0.0001] +[2024-05-25 12:47:43,705] - INFO: Epoch 1389/9999, Iter 138880: Loss = 0.012276015244424343, lr = [0.0001] +[2024-05-25 12:48:12,711] - INFO: Epoch 1390/9999, Iter 138920: Loss = 0.016420677304267883, lr = [0.0001] +[2024-05-25 12:48:39,919] - INFO: Epoch 1390/9999, Iter 138960: Loss = 0.016095416620373726, lr = [0.0001] +[2024-05-25 12:49:06,818] - INFO: Evaluate at epoch 1390! +[2024-05-25 12:49:11,723] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:49:11,724] - INFO: Eval PSNR (current): 37.911 (1390) SSIM (current): 0.9606 (1390) +[2024-05-25 12:49:11,724] - INFO: Evaluation over. +[2024-05-25 12:49:18,986] - INFO: Epoch 1391/9999, Iter 139000: Loss = 0.011562378145754337, lr = [0.0001] +[2024-05-25 12:49:46,241] - INFO: Epoch 1391/9999, Iter 139040: Loss = 0.009359913878142834, lr = [0.0001] +[2024-05-25 12:50:13,453] - INFO: Epoch 1391/9999, Iter 139080: Loss = 0.00907826703041792, lr = [0.0001] +[2024-05-25 12:50:42,183] - INFO: Epoch 1392/9999, Iter 139120: Loss = 0.015825670212507248, lr = [0.0001] +[2024-05-25 12:51:09,382] - INFO: Epoch 1392/9999, Iter 139160: Loss = 0.006031616125255823, lr = [0.0001] +[2024-05-25 12:51:38,140] - INFO: Epoch 1393/9999, Iter 139200: Loss = 0.00789419561624527, lr = [0.0001] +[2024-05-25 12:52:05,456] - INFO: Epoch 1393/9999, Iter 139240: Loss = 0.007261672057211399, lr = [0.0001] +[2024-05-25 12:52:32,584] - INFO: Epoch 1393/9999, Iter 139280: Loss = 0.013904300518333912, lr = [0.0001] +[2024-05-25 12:53:01,569] - INFO: Epoch 1394/9999, Iter 139320: Loss = 0.011943463236093521, lr = [0.0001] +[2024-05-25 12:53:28,834] - INFO: Epoch 1394/9999, Iter 139360: Loss = 0.004208857659250498, lr = [0.0001] +[2024-05-25 12:53:57,277] - INFO: Epoch 1395/9999, Iter 139400: Loss = 0.01240121852606535, lr = [0.0001] +[2024-05-25 12:54:24,702] - INFO: Epoch 1395/9999, Iter 139440: Loss = 0.014970222488045692, lr = [0.0001] +[2024-05-25 12:54:51,922] - INFO: Epoch 1395/9999, Iter 139480: Loss = 0.012875828891992569, lr = [0.0001] +[2024-05-25 12:55:05,254] - INFO: Evaluate at epoch 1395! +[2024-05-25 12:55:10,039] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:55:10,040] - INFO: Eval PSNR (current): 38.008 (1395) SSIM (current): 0.9608 (1395) +[2024-05-25 12:55:10,040] - INFO: Evaluation over. +[2024-05-25 12:55:30,216] - INFO: Epoch 1396/9999, Iter 139520: Loss = 0.011585288681089878, lr = [0.0001] +[2024-05-25 12:55:57,437] - INFO: Epoch 1396/9999, Iter 139560: Loss = 0.017914114519953728, lr = [0.0001] +[2024-05-25 12:56:26,069] - INFO: Epoch 1397/9999, Iter 139600: Loss = 0.012522106990218163, lr = [0.0001] +[2024-05-25 12:56:53,362] - INFO: Epoch 1397/9999, Iter 139640: Loss = 0.014401397667825222, lr = [0.0001] +[2024-05-25 12:57:20,557] - INFO: Epoch 1397/9999, Iter 139680: Loss = 0.008164373226463795, lr = [0.0001] +[2024-05-25 12:57:49,324] - INFO: Epoch 1398/9999, Iter 139720: Loss = 0.0143575519323349, lr = [0.0001] +[2024-05-25 12:58:16,541] - INFO: Epoch 1398/9999, Iter 139760: Loss = 0.007191039621829987, lr = [0.0001] +[2024-05-25 12:58:45,033] - INFO: Epoch 1399/9999, Iter 139800: Loss = 0.014741776511073112, lr = [0.0001] +[2024-05-25 12:59:12,366] - INFO: Epoch 1399/9999, Iter 139840: Loss = 0.018566185608506203, lr = [0.0001] +[2024-05-25 12:59:39,575] - INFO: Epoch 1399/9999, Iter 139880: Loss = 0.011004985310137272, lr = [0.0001] +[2024-05-25 13:00:08,283] - INFO: Epoch 1400/9999, Iter 139920: Loss = 0.01782810315489769, lr = [0.0001] +[2024-05-25 13:00:35,519] - INFO: Epoch 1400/9999, Iter 139960: Loss = 0.01298332680016756, lr = [0.0001] +[2024-05-25 13:01:02,397] - INFO: Evaluate at epoch 1400! +[2024-05-25 13:01:07,265] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:01:07,266] - INFO: Eval PSNR (current): 37.947 (1400) SSIM (current): 0.9606 (1400) +[2024-05-25 13:01:07,266] - INFO: Evaluation over. +[2024-05-25 13:01:13,923] - INFO: Epoch 1401/9999, Iter 140000: Loss = 0.008711012080311775, lr = [0.0001] +[2024-05-25 13:01:41,229] - INFO: Epoch 1401/9999, Iter 140040: Loss = 0.008890699595212936, lr = [0.0001] +[2024-05-25 13:02:08,438] - INFO: Epoch 1401/9999, Iter 140080: Loss = 0.024168800562620163, lr = [0.0001] +[2024-05-25 13:02:37,094] - INFO: Epoch 1402/9999, Iter 140120: Loss = 0.011027703061699867, lr = [0.0001] +[2024-05-25 13:03:04,342] - INFO: Epoch 1402/9999, Iter 140160: Loss = 0.007090040482580662, lr = [0.0001] +[2024-05-25 13:03:33,088] - INFO: Epoch 1403/9999, Iter 140200: Loss = 0.012215365655720234, lr = [0.0001] +[2024-05-25 13:04:00,394] - INFO: Epoch 1403/9999, Iter 140240: Loss = 0.008185832761228085, lr = [0.0001] +[2024-05-25 13:04:27,576] - INFO: Epoch 1403/9999, Iter 140280: Loss = 0.023841239511966705, lr = [0.0001] +[2024-05-25 13:04:56,498] - INFO: Epoch 1404/9999, Iter 140320: Loss = 0.009360658004879951, lr = [0.0001] +[2024-05-25 13:05:23,698] - INFO: Epoch 1404/9999, Iter 140360: Loss = 0.01981409266591072, lr = [0.0001] +[2024-05-25 13:05:52,442] - INFO: Epoch 1405/9999, Iter 140400: Loss = 0.008033904246985912, lr = [0.0001] +[2024-05-25 13:06:19,704] - INFO: Epoch 1405/9999, Iter 140440: Loss = 0.015458312816917896, lr = [0.0001] +[2024-05-25 13:06:46,869] - INFO: Epoch 1405/9999, Iter 140480: Loss = 0.006929461844265461, lr = [0.0001] +[2024-05-25 13:07:00,177] - INFO: Evaluate at epoch 1405! +[2024-05-25 13:07:04,954] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:07:04,955] - INFO: Eval PSNR (current): 37.851 (1405) SSIM (current): 0.9604 (1405) +[2024-05-25 13:07:04,955] - INFO: Evaluation over. +[2024-05-25 13:07:25,468] - INFO: Epoch 1406/9999, Iter 140520: Loss = 0.0075650811195373535, lr = [0.0001] +[2024-05-25 13:07:52,617] - INFO: Epoch 1406/9999, Iter 140560: Loss = 0.01707085594534874, lr = [0.0001] +[2024-05-25 13:08:21,186] - INFO: Epoch 1407/9999, Iter 140600: Loss = 0.017752083018422127, lr = [0.0001] +[2024-05-25 13:08:48,523] - INFO: Epoch 1407/9999, Iter 140640: Loss = 0.02109326794743538, lr = [0.0001] +[2024-05-25 13:09:15,758] - INFO: Epoch 1407/9999, Iter 140680: Loss = 0.007839802652597427, lr = [0.0001] +[2024-05-25 13:09:44,414] - INFO: Epoch 1408/9999, Iter 140720: Loss = 0.014076732099056244, lr = [0.0001] +[2024-05-25 13:10:11,575] - INFO: Epoch 1408/9999, Iter 140760: Loss = 0.012031148187816143, lr = [0.0001] +[2024-05-25 13:10:40,304] - INFO: Epoch 1409/9999, Iter 140800: Loss = 0.013094360940158367, lr = [0.0001] +[2024-05-25 13:11:07,588] - INFO: Epoch 1409/9999, Iter 140840: Loss = 0.018015744164586067, lr = [0.0001] +[2024-05-25 13:11:34,816] - INFO: Epoch 1409/9999, Iter 140880: Loss = 0.012299148365855217, lr = [0.0001] +[2024-05-25 13:12:03,738] - INFO: Epoch 1410/9999, Iter 140920: Loss = 0.005196830723434687, lr = [0.0001] +[2024-05-25 13:12:30,999] - INFO: Epoch 1410/9999, Iter 140960: Loss = 0.016317585483193398, lr = [0.0001] +[2024-05-25 13:12:57,879] - INFO: Evaluate at epoch 1410! +[2024-05-25 13:13:02,680] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:13:02,680] - INFO: Eval PSNR (current): 37.948 (1410) SSIM (current): 0.9609 (1410) +[2024-05-25 13:13:02,680] - INFO: Evaluation over. +[2024-05-25 13:13:14,183] - INFO: Epoch 1411/9999, Iter 141000: Loss = 0.011479583568871021, lr = [0.0001] +[2024-05-25 13:13:42,133] - INFO: Epoch 1411/9999, Iter 141040: Loss = 0.01059509627521038, lr = [0.0001] +[2024-05-25 13:14:09,444] - INFO: Epoch 1411/9999, Iter 141080: Loss = 0.009216380305588245, lr = [0.0001] +[2024-05-25 13:14:38,246] - INFO: Epoch 1412/9999, Iter 141120: Loss = 0.011967157945036888, lr = [0.0001] +[2024-05-25 13:15:05,457] - INFO: Epoch 1412/9999, Iter 141160: Loss = 0.007806139998137951, lr = [0.0001] +[2024-05-25 13:15:34,093] - INFO: Epoch 1413/9999, Iter 141200: Loss = 0.01204609964042902, lr = [0.0001] +[2024-05-25 13:16:01,394] - INFO: Epoch 1413/9999, Iter 141240: Loss = 0.018220175057649612, lr = [0.0001] +[2024-05-25 13:16:28,598] - INFO: Epoch 1413/9999, Iter 141280: Loss = 0.009625962935388088, lr = [0.0001] +[2024-05-25 13:16:57,098] - INFO: Epoch 1414/9999, Iter 141320: Loss = 0.01903359591960907, lr = [0.0001] +[2024-05-25 13:17:24,279] - INFO: Epoch 1414/9999, Iter 141360: Loss = 0.02049553208053112, lr = [0.0001] +[2024-05-25 13:17:52,794] - INFO: Epoch 1415/9999, Iter 141400: Loss = 0.006793791428208351, lr = [0.0001] +[2024-05-25 13:18:20,079] - INFO: Epoch 1415/9999, Iter 141440: Loss = 0.01878921128809452, lr = [0.0001] +[2024-05-25 13:18:47,300] - INFO: Epoch 1415/9999, Iter 141480: Loss = 0.021071359515190125, lr = [0.0001] +[2024-05-25 13:19:00,599] - INFO: Evaluate at epoch 1415! +[2024-05-25 13:19:05,391] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:19:05,391] - INFO: Eval PSNR (current): 37.961 (1415) SSIM (current): 0.9607 (1415) +[2024-05-25 13:19:05,391] - INFO: Evaluation over. +[2024-05-25 13:19:26,423] - INFO: Epoch 1416/9999, Iter 141520: Loss = 0.017741484567523003, lr = [0.0001] +[2024-05-25 13:19:53,733] - INFO: Epoch 1416/9999, Iter 141560: Loss = 0.01447356678545475, lr = [0.0001] +[2024-05-25 13:20:22,130] - INFO: Epoch 1417/9999, Iter 141600: Loss = 0.013152584433555603, lr = [0.0001] +[2024-05-25 13:20:49,382] - INFO: Epoch 1417/9999, Iter 141640: Loss = 0.008706538006663322, lr = [0.0001] +[2024-05-25 13:21:16,630] - INFO: Epoch 1417/9999, Iter 141680: Loss = 0.012932958081364632, lr = [0.0001] +[2024-05-25 13:21:45,351] - INFO: Epoch 1418/9999, Iter 141720: Loss = 0.011677967384457588, lr = [0.0001] +[2024-05-25 13:22:12,521] - INFO: Epoch 1418/9999, Iter 141760: Loss = 0.0120825981721282, lr = [0.0001] +[2024-05-25 13:22:41,085] - INFO: Epoch 1419/9999, Iter 141800: Loss = 0.007907839491963387, lr = [0.0001] +[2024-05-25 13:23:08,448] - INFO: Epoch 1419/9999, Iter 141840: Loss = 0.007345641031861305, lr = [0.0001] +[2024-05-25 13:23:35,631] - INFO: Epoch 1419/9999, Iter 141880: Loss = 0.008253577165305614, lr = [0.0001] +[2024-05-25 13:24:04,341] - INFO: Epoch 1420/9999, Iter 141920: Loss = 0.010703014209866524, lr = [0.0001] +[2024-05-25 13:24:31,551] - INFO: Epoch 1420/9999, Iter 141960: Loss = 0.009710084646940231, lr = [0.0001] +[2024-05-25 13:24:58,375] - INFO: Evaluate at epoch 1420! +[2024-05-25 13:25:03,096] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:25:03,096] - INFO: Eval PSNR (current): 37.889 (1420) SSIM (current): 0.9605 (1420) +[2024-05-25 13:25:03,096] - INFO: Evaluation over. +[2024-05-25 13:25:09,795] - INFO: Epoch 1421/9999, Iter 142000: Loss = 0.014263114891946316, lr = [0.0001] +[2024-05-25 13:25:37,078] - INFO: Epoch 1421/9999, Iter 142040: Loss = 0.01540989801287651, lr = [0.0001] +[2024-05-25 13:26:04,262] - INFO: Epoch 1421/9999, Iter 142080: Loss = 0.014807510189712048, lr = [0.0001] +[2024-05-25 13:26:32,878] - INFO: Epoch 1422/9999, Iter 142120: Loss = 0.015785470604896545, lr = [0.0001] +[2024-05-25 13:27:00,087] - INFO: Epoch 1422/9999, Iter 142160: Loss = 0.011938770301640034, lr = [0.0001] +[2024-05-25 13:27:28,596] - INFO: Epoch 1423/9999, Iter 142200: Loss = 0.015402683988213539, lr = [0.0001] +[2024-05-25 13:27:55,919] - INFO: Epoch 1423/9999, Iter 142240: Loss = 0.008962227031588554, lr = [0.0001] +[2024-05-25 13:28:23,087] - INFO: Epoch 1423/9999, Iter 142280: Loss = 0.0062881894409656525, lr = [0.0001] +[2024-05-25 13:28:51,846] - INFO: Epoch 1424/9999, Iter 142320: Loss = 0.009885335341095924, lr = [0.0001] +[2024-05-25 13:29:19,072] - INFO: Epoch 1424/9999, Iter 142360: Loss = 0.012659484520554543, lr = [0.0001] +[2024-05-25 13:29:47,637] - INFO: Epoch 1425/9999, Iter 142400: Loss = 0.013444839976727962, lr = [0.0001] +[2024-05-25 13:30:14,892] - INFO: Epoch 1425/9999, Iter 142440: Loss = 0.008995681069791317, lr = [0.0001] +[2024-05-25 13:30:42,111] - INFO: Epoch 1425/9999, Iter 142480: Loss = 0.011858288198709488, lr = [0.0001] +[2024-05-25 13:30:55,473] - INFO: Evaluate at epoch 1425! +[2024-05-25 13:31:00,462] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:31:00,462] - INFO: Eval PSNR (current): 37.903 (1425) SSIM (current): 0.9606 (1425) +[2024-05-25 13:31:00,462] - INFO: Evaluation over. +[2024-05-25 13:31:21,216] - INFO: Epoch 1426/9999, Iter 142520: Loss = 0.012926433235406876, lr = [0.0001] +[2024-05-25 13:31:48,361] - INFO: Epoch 1426/9999, Iter 142560: Loss = 0.01890150085091591, lr = [0.0001] +[2024-05-25 13:32:16,683] - INFO: Epoch 1427/9999, Iter 142600: Loss = 0.012422988191246986, lr = [0.0001] +[2024-05-25 13:32:43,931] - INFO: Epoch 1427/9999, Iter 142640: Loss = 0.01943359151482582, lr = [0.0001] +[2024-05-25 13:33:11,127] - INFO: Epoch 1427/9999, Iter 142680: Loss = 0.016153350472450256, lr = [0.0001] +[2024-05-25 13:33:39,655] - INFO: Epoch 1428/9999, Iter 142720: Loss = 0.014668891206383705, lr = [0.0001] +[2024-05-25 13:34:06,806] - INFO: Epoch 1428/9999, Iter 142760: Loss = 0.018066057935357094, lr = [0.0001] +[2024-05-25 13:34:35,389] - INFO: Epoch 1429/9999, Iter 142800: Loss = 0.02021537534892559, lr = [0.0001] +[2024-05-25 13:35:02,623] - INFO: Epoch 1429/9999, Iter 142840: Loss = 0.007406735792756081, lr = [0.0001] +[2024-05-25 13:35:29,863] - INFO: Epoch 1429/9999, Iter 142880: Loss = 0.010727361775934696, lr = [0.0001] +[2024-05-25 13:35:58,479] - INFO: Epoch 1430/9999, Iter 142920: Loss = 0.014003440737724304, lr = [0.0001] +[2024-05-25 13:36:25,737] - INFO: Epoch 1430/9999, Iter 142960: Loss = 0.006319241598248482, lr = [0.0001] +[2024-05-25 13:36:52,679] - INFO: Evaluate at epoch 1430! +[2024-05-25 13:36:57,614] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:36:57,614] - INFO: Eval PSNR (current): 37.534 (1430) SSIM (current): 0.9604 (1430) +[2024-05-25 13:36:57,614] - INFO: Evaluation over. +[2024-05-25 13:37:04,359] - INFO: Epoch 1431/9999, Iter 143000: Loss = 0.010495318099856377, lr = [0.0001] +[2024-05-25 13:37:31,666] - INFO: Epoch 1431/9999, Iter 143040: Loss = 0.02096790261566639, lr = [0.0001] +[2024-05-25 13:37:58,856] - INFO: Epoch 1431/9999, Iter 143080: Loss = 0.005314192268997431, lr = [0.0001] +[2024-05-25 13:38:27,452] - INFO: Epoch 1432/9999, Iter 143120: Loss = 0.01717178337275982, lr = [0.0001] +[2024-05-25 13:38:54,643] - INFO: Epoch 1432/9999, Iter 143160: Loss = 0.009958081878721714, lr = [0.0001] +[2024-05-25 13:39:23,063] - INFO: Epoch 1433/9999, Iter 143200: Loss = 0.011604447849094868, lr = [0.0001] +[2024-05-25 13:39:50,287] - INFO: Epoch 1433/9999, Iter 143240: Loss = 0.015533102676272392, lr = [0.0001] +[2024-05-25 13:40:17,441] - INFO: Epoch 1433/9999, Iter 143280: Loss = 0.008758432231843472, lr = [0.0001] +[2024-05-25 13:40:46,322] - INFO: Epoch 1434/9999, Iter 143320: Loss = 0.012808465398848057, lr = [0.0001] +[2024-05-25 13:41:13,523] - INFO: Epoch 1434/9999, Iter 143360: Loss = 0.012109695002436638, lr = [0.0001] +[2024-05-25 13:41:42,117] - INFO: Epoch 1435/9999, Iter 143400: Loss = 0.01653830148279667, lr = [0.0001] +[2024-05-25 13:42:09,361] - INFO: Epoch 1435/9999, Iter 143440: Loss = 0.008544121868908405, lr = [0.0001] +[2024-05-25 13:42:36,588] - INFO: Epoch 1435/9999, Iter 143480: Loss = 0.011843301355838776, lr = [0.0001] +[2024-05-25 13:42:49,873] - INFO: Evaluate at epoch 1435! +[2024-05-25 13:42:54,562] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:42:54,562] - INFO: Eval PSNR (current): 37.915 (1435) SSIM (current): 0.9608 (1435) +[2024-05-25 13:42:54,562] - INFO: Evaluation over. +[2024-05-25 13:43:14,798] - INFO: Epoch 1436/9999, Iter 143520: Loss = 0.026757704094052315, lr = [0.0001] +[2024-05-25 13:43:42,013] - INFO: Epoch 1436/9999, Iter 143560: Loss = 0.020511789247393608, lr = [0.0001] +[2024-05-25 13:44:10,844] - INFO: Epoch 1437/9999, Iter 143600: Loss = 0.00939084216952324, lr = [0.0001] +[2024-05-25 13:44:38,090] - INFO: Epoch 1437/9999, Iter 143640: Loss = 0.020079070702195168, lr = [0.0001] +[2024-05-25 13:45:05,356] - INFO: Epoch 1437/9999, Iter 143680: Loss = 0.022478142753243446, lr = [0.0001] +[2024-05-25 13:45:34,159] - INFO: Epoch 1438/9999, Iter 143720: Loss = 0.009874273091554642, lr = [0.0001] +[2024-05-25 13:46:01,288] - INFO: Epoch 1438/9999, Iter 143760: Loss = 0.007577198091894388, lr = [0.0001] +[2024-05-25 13:46:30,018] - INFO: Epoch 1439/9999, Iter 143800: Loss = 0.012166272848844528, lr = [0.0001] +[2024-05-25 13:46:57,300] - INFO: Epoch 1439/9999, Iter 143840: Loss = 0.02291904203593731, lr = [0.0001] +[2024-05-25 13:47:24,487] - INFO: Epoch 1439/9999, Iter 143880: Loss = 0.01365684811025858, lr = [0.0001] +[2024-05-25 13:47:53,047] - INFO: Epoch 1440/9999, Iter 143920: Loss = 0.010721760801970959, lr = [0.0001] +[2024-05-25 13:48:20,224] - INFO: Epoch 1440/9999, Iter 143960: Loss = 0.01161595992743969, lr = [0.0001] +[2024-05-25 13:48:47,132] - INFO: Evaluate at epoch 1440! +[2024-05-25 13:48:51,745] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:48:51,745] - INFO: Eval PSNR (current): 37.918 (1440) SSIM (current): 0.9604 (1440) +[2024-05-25 13:48:51,745] - INFO: Evaluation over. +[2024-05-25 13:48:58,513] - INFO: Epoch 1441/9999, Iter 144000: Loss = 0.010991145856678486, lr = [0.0001] +[2024-05-25 13:49:25,766] - INFO: Epoch 1441/9999, Iter 144040: Loss = 0.011271494440734386, lr = [0.0001] +[2024-05-25 13:49:52,968] - INFO: Epoch 1441/9999, Iter 144080: Loss = 0.012273909524083138, lr = [0.0001] +[2024-05-25 13:50:21,483] - INFO: Epoch 1442/9999, Iter 144120: Loss = 0.020707566291093826, lr = [0.0001] +[2024-05-25 13:50:48,666] - INFO: Epoch 1442/9999, Iter 144160: Loss = 0.014892171137034893, lr = [0.0001] +[2024-05-25 13:51:17,509] - INFO: Epoch 1443/9999, Iter 144200: Loss = 0.013295439071953297, lr = [0.0001] +[2024-05-25 13:51:44,721] - INFO: Epoch 1443/9999, Iter 144240: Loss = 0.012491176836192608, lr = [0.0001] +[2024-05-25 13:52:11,939] - INFO: Epoch 1443/9999, Iter 144280: Loss = 0.005325743462890387, lr = [0.0001] +[2024-05-25 13:52:40,618] - INFO: Epoch 1444/9999, Iter 144320: Loss = 0.013451235368847847, lr = [0.0001] +[2024-05-25 13:53:07,787] - INFO: Epoch 1444/9999, Iter 144360: Loss = 0.009738815017044544, lr = [0.0001] +[2024-05-25 13:53:36,441] - INFO: Epoch 1445/9999, Iter 144400: Loss = 0.01903996244072914, lr = [0.0001] +[2024-05-25 13:54:03,750] - INFO: Epoch 1445/9999, Iter 144440: Loss = 0.015484057366847992, lr = [0.0001] +[2024-05-25 13:54:30,950] - INFO: Epoch 1445/9999, Iter 144480: Loss = 0.010618687607347965, lr = [0.0001] +[2024-05-25 13:54:44,234] - INFO: Evaluate at epoch 1445! +[2024-05-25 13:54:49,047] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:54:49,048] - INFO: Eval PSNR (current): 37.877 (1445) SSIM (current): 0.9606 (1445) +[2024-05-25 13:54:49,048] - INFO: Evaluation over. +[2024-05-25 13:55:09,567] - INFO: Epoch 1446/9999, Iter 144520: Loss = 0.010845773853361607, lr = [0.0001] +[2024-05-25 13:55:36,798] - INFO: Epoch 1446/9999, Iter 144560: Loss = 0.01704694889485836, lr = [0.0001] +[2024-05-25 13:56:05,209] - INFO: Epoch 1447/9999, Iter 144600: Loss = 0.02270105667412281, lr = [0.0001] +[2024-05-25 13:56:32,519] - INFO: Epoch 1447/9999, Iter 144640: Loss = 0.007606884930282831, lr = [0.0001] +[2024-05-25 13:56:59,788] - INFO: Epoch 1447/9999, Iter 144680: Loss = 0.024221248924732208, lr = [0.0001] +[2024-05-25 13:57:28,355] - INFO: Epoch 1448/9999, Iter 144720: Loss = 0.009366285055875778, lr = [0.0001] +[2024-05-25 13:57:55,546] - INFO: Epoch 1448/9999, Iter 144760: Loss = 0.016918806359171867, lr = [0.0001] +[2024-05-25 13:58:24,124] - INFO: Epoch 1449/9999, Iter 144800: Loss = 0.01850351132452488, lr = [0.0001] +[2024-05-25 13:58:51,391] - INFO: Epoch 1449/9999, Iter 144840: Loss = 0.009960252791643143, lr = [0.0001] +[2024-05-25 13:59:18,607] - INFO: Epoch 1449/9999, Iter 144880: Loss = 0.010846727527678013, lr = [0.0001] +[2024-05-25 13:59:47,343] - INFO: Epoch 1450/9999, Iter 144920: Loss = 0.013603068888187408, lr = [0.0001] +[2024-05-25 14:00:14,534] - INFO: Epoch 1450/9999, Iter 144960: Loss = 0.013489802367985249, lr = [0.0001] +[2024-05-25 14:00:41,436] - INFO: Evaluate at epoch 1450! +[2024-05-25 14:00:46,254] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:00:46,254] - INFO: Eval PSNR (current): 37.863 (1450) SSIM (current): 0.9605 (1450) +[2024-05-25 14:00:46,254] - INFO: Evaluation over. +[2024-05-25 14:00:53,224] - INFO: Epoch 1451/9999, Iter 145000: Loss = 0.01280339527875185, lr = [0.0001] +[2024-05-25 14:01:20,528] - INFO: Epoch 1451/9999, Iter 145040: Loss = 0.010440771467983723, lr = [0.0001] +[2024-05-25 14:01:47,768] - INFO: Epoch 1451/9999, Iter 145080: Loss = 0.013052833266556263, lr = [0.0001] +[2024-05-25 14:02:16,136] - INFO: Epoch 1452/9999, Iter 145120: Loss = 0.014029818587005138, lr = [0.0001] +[2024-05-25 14:02:43,291] - INFO: Epoch 1452/9999, Iter 145160: Loss = 0.019440574571490288, lr = [0.0001] +[2024-05-25 14:03:11,859] - INFO: Epoch 1453/9999, Iter 145200: Loss = 0.011592189781367779, lr = [0.0001] +[2024-05-25 14:03:39,224] - INFO: Epoch 1453/9999, Iter 145240: Loss = 0.015369064174592495, lr = [0.0001] +[2024-05-25 14:04:06,362] - INFO: Epoch 1453/9999, Iter 145280: Loss = 0.012970267795026302, lr = [0.0001] +[2024-05-25 14:04:35,079] - INFO: Epoch 1454/9999, Iter 145320: Loss = 0.00839311070740223, lr = [0.0001] +[2024-05-25 14:05:02,350] - INFO: Epoch 1454/9999, Iter 145360: Loss = 0.015248698182404041, lr = [0.0001] +[2024-05-25 14:05:30,892] - INFO: Epoch 1455/9999, Iter 145400: Loss = 0.007142140995711088, lr = [0.0001] +[2024-05-25 14:05:58,144] - INFO: Epoch 1455/9999, Iter 145440: Loss = 0.016301490366458893, lr = [0.0001] +[2024-05-25 14:06:25,345] - INFO: Epoch 1455/9999, Iter 145480: Loss = 0.015130535699427128, lr = [0.0001] +[2024-05-25 14:06:38,703] - INFO: Evaluate at epoch 1455! +[2024-05-25 14:06:43,518] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:06:43,519] - INFO: Eval PSNR (current): 37.901 (1455) SSIM (current): 0.9605 (1455) +[2024-05-25 14:06:43,519] - INFO: Evaluation over. +[2024-05-25 14:07:03,792] - INFO: Epoch 1456/9999, Iter 145520: Loss = 0.02119726873934269, lr = [0.0001] +[2024-05-25 14:07:30,966] - INFO: Epoch 1456/9999, Iter 145560: Loss = 0.009835106320679188, lr = [0.0001] +[2024-05-25 14:07:59,436] - INFO: Epoch 1457/9999, Iter 145600: Loss = 0.01214697863906622, lr = [0.0001] +[2024-05-25 14:08:26,691] - INFO: Epoch 1457/9999, Iter 145640: Loss = 0.015541712753474712, lr = [0.0001] +[2024-05-25 14:08:53,869] - INFO: Epoch 1457/9999, Iter 145680: Loss = 0.01401070412248373, lr = [0.0001] +[2024-05-25 14:09:22,511] - INFO: Epoch 1458/9999, Iter 145720: Loss = 0.01869107596576214, lr = [0.0001] +[2024-05-25 14:09:49,681] - INFO: Epoch 1458/9999, Iter 145760: Loss = 0.01011389959603548, lr = [0.0001] +[2024-05-25 14:10:18,524] - INFO: Epoch 1459/9999, Iter 145800: Loss = 0.009404950775206089, lr = [0.0001] +[2024-05-25 14:10:45,769] - INFO: Epoch 1459/9999, Iter 145840: Loss = 0.014202713966369629, lr = [0.0001] +[2024-05-25 14:11:12,986] - INFO: Epoch 1459/9999, Iter 145880: Loss = 0.013672004453837872, lr = [0.0001] +[2024-05-25 14:11:41,734] - INFO: Epoch 1460/9999, Iter 145920: Loss = 0.01155466865748167, lr = [0.0001] +[2024-05-25 14:12:08,939] - INFO: Epoch 1460/9999, Iter 145960: Loss = 0.010710674338042736, lr = [0.0001] +[2024-05-25 14:12:35,878] - INFO: Evaluate at epoch 1460! +[2024-05-25 14:12:40,701] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:12:40,701] - INFO: Eval PSNR (current): 37.920 (1460) SSIM (current): 0.9604 (1460) +[2024-05-25 14:12:40,701] - INFO: Evaluation over. +[2024-05-25 14:12:47,436] - INFO: Epoch 1461/9999, Iter 146000: Loss = 0.016417600214481354, lr = [0.0001] +[2024-05-25 14:13:14,713] - INFO: Epoch 1461/9999, Iter 146040: Loss = 0.010832104831933975, lr = [0.0001] +[2024-05-25 14:13:41,853] - INFO: Epoch 1461/9999, Iter 146080: Loss = 0.011586016975343227, lr = [0.0001] +[2024-05-25 14:14:10,492] - INFO: Epoch 1462/9999, Iter 146120: Loss = 0.015602678060531616, lr = [0.0001] +[2024-05-25 14:14:37,767] - INFO: Epoch 1462/9999, Iter 146160: Loss = 0.01636555604636669, lr = [0.0001] +[2024-05-25 14:15:06,466] - INFO: Epoch 1463/9999, Iter 146200: Loss = 0.010754650458693504, lr = [0.0001] +[2024-05-25 14:15:33,750] - INFO: Epoch 1463/9999, Iter 146240: Loss = 0.011616174131631851, lr = [0.0001] +[2024-05-25 14:16:00,946] - INFO: Epoch 1463/9999, Iter 146280: Loss = 0.022597208619117737, lr = [0.0001] +[2024-05-25 14:16:29,639] - INFO: Epoch 1464/9999, Iter 146320: Loss = 0.024572288617491722, lr = [0.0001] +[2024-05-25 14:16:56,740] - INFO: Epoch 1464/9999, Iter 146360: Loss = 0.01569513976573944, lr = [0.0001] +[2024-05-25 14:17:25,330] - INFO: Epoch 1465/9999, Iter 146400: Loss = 0.014869623817503452, lr = [0.0001] +[2024-05-25 14:17:52,611] - INFO: Epoch 1465/9999, Iter 146440: Loss = 0.01488491427153349, lr = [0.0001] +[2024-05-25 14:18:19,762] - INFO: Epoch 1465/9999, Iter 146480: Loss = 0.018800916150212288, lr = [0.0001] +[2024-05-25 14:18:33,052] - INFO: Evaluate at epoch 1465! +[2024-05-25 14:18:37,777] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:18:37,777] - INFO: Eval PSNR (current): 37.846 (1465) SSIM (current): 0.9606 (1465) +[2024-05-25 14:18:37,777] - INFO: Evaluation over. +[2024-05-25 14:18:58,212] - INFO: Epoch 1466/9999, Iter 146520: Loss = 0.007135727908462286, lr = [0.0001] +[2024-05-25 14:19:25,411] - INFO: Epoch 1466/9999, Iter 146560: Loss = 0.01861567236483097, lr = [0.0001] +[2024-05-25 14:19:53,983] - INFO: Epoch 1467/9999, Iter 146600: Loss = 0.009981103241443634, lr = [0.0001] +[2024-05-25 14:20:21,244] - INFO: Epoch 1467/9999, Iter 146640: Loss = 0.007708429358899593, lr = [0.0001] +[2024-05-25 14:20:48,514] - INFO: Epoch 1467/9999, Iter 146680: Loss = 0.00715402327477932, lr = [0.0001] +[2024-05-25 14:21:17,217] - INFO: Epoch 1468/9999, Iter 146720: Loss = 0.006257352884858847, lr = [0.0001] +[2024-05-25 14:21:44,369] - INFO: Epoch 1468/9999, Iter 146760: Loss = 0.015120113268494606, lr = [0.0001] +[2024-05-25 14:22:12,837] - INFO: Epoch 1469/9999, Iter 146800: Loss = 0.01448746956884861, lr = [0.0001] +[2024-05-25 14:22:40,130] - INFO: Epoch 1469/9999, Iter 146840: Loss = 0.0168437696993351, lr = [0.0001] +[2024-05-25 14:23:07,384] - INFO: Epoch 1469/9999, Iter 146880: Loss = 0.011706010438501835, lr = [0.0001] +[2024-05-25 14:23:35,966] - INFO: Epoch 1470/9999, Iter 146920: Loss = 0.01223139837384224, lr = [0.0001] +[2024-05-25 14:24:03,125] - INFO: Epoch 1470/9999, Iter 146960: Loss = 0.01808157004415989, lr = [0.0001] +[2024-05-25 14:24:30,023] - INFO: Evaluate at epoch 1470! +[2024-05-25 14:24:34,869] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:24:34,869] - INFO: Eval PSNR (current): 37.992 (1470) SSIM (current): 0.9607 (1470) +[2024-05-25 14:24:34,870] - INFO: Evaluation over. +[2024-05-25 14:24:41,792] - INFO: Epoch 1471/9999, Iter 147000: Loss = 0.009511391632258892, lr = [0.0001] +[2024-05-25 14:25:09,157] - INFO: Epoch 1471/9999, Iter 147040: Loss = 0.011845039203763008, lr = [0.0001] +[2024-05-25 14:25:36,368] - INFO: Epoch 1471/9999, Iter 147080: Loss = 0.010096496902406216, lr = [0.0001] +[2024-05-25 14:26:04,911] - INFO: Epoch 1472/9999, Iter 147120: Loss = 0.014566498808562756, lr = [0.0001] +[2024-05-25 14:26:32,065] - INFO: Epoch 1472/9999, Iter 147160: Loss = 0.023862194269895554, lr = [0.0001] +[2024-05-25 14:27:00,584] - INFO: Epoch 1473/9999, Iter 147200: Loss = 0.01954570598900318, lr = [0.0001] +[2024-05-25 14:27:27,891] - INFO: Epoch 1473/9999, Iter 147240: Loss = 0.008943230845034122, lr = [0.0001] +[2024-05-25 14:27:55,080] - INFO: Epoch 1473/9999, Iter 147280: Loss = 0.01713385060429573, lr = [0.0001] +[2024-05-25 14:28:23,750] - INFO: Epoch 1474/9999, Iter 147320: Loss = 0.012917405925691128, lr = [0.0001] +[2024-05-25 14:28:50,928] - INFO: Epoch 1474/9999, Iter 147360: Loss = 0.014644567854702473, lr = [0.0001] +[2024-05-25 14:29:19,677] - INFO: Epoch 1475/9999, Iter 147400: Loss = 0.012235837057232857, lr = [0.0001] +[2024-05-25 14:29:46,908] - INFO: Epoch 1475/9999, Iter 147440: Loss = 0.015424947254359722, lr = [0.0001] +[2024-05-25 14:30:14,176] - INFO: Epoch 1475/9999, Iter 147480: Loss = 0.015732094645500183, lr = [0.0001] +[2024-05-25 14:30:27,473] - INFO: Evaluate at epoch 1475! +[2024-05-25 14:30:32,183] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:30:32,183] - INFO: Eval PSNR (current): 37.941 (1475) SSIM (current): 0.9607 (1475) +[2024-05-25 14:30:32,183] - INFO: Evaluation over. +[2024-05-25 14:30:52,742] - INFO: Epoch 1476/9999, Iter 147520: Loss = 0.017855461686849594, lr = [0.0001] +[2024-05-25 14:31:19,912] - INFO: Epoch 1476/9999, Iter 147560: Loss = 0.011740011163055897, lr = [0.0001] +[2024-05-25 14:31:48,588] - INFO: Epoch 1477/9999, Iter 147600: Loss = 0.01697283610701561, lr = [0.0001] +[2024-05-25 14:32:15,975] - INFO: Epoch 1477/9999, Iter 147640: Loss = 0.006631809752434492, lr = [0.0001] +[2024-05-25 14:32:43,138] - INFO: Epoch 1477/9999, Iter 147680: Loss = 0.0129941301420331, lr = [0.0001] +[2024-05-25 14:33:11,850] - INFO: Epoch 1478/9999, Iter 147720: Loss = 0.013855055905878544, lr = [0.0001] +[2024-05-25 14:33:39,081] - INFO: Epoch 1478/9999, Iter 147760: Loss = 0.00999413337558508, lr = [0.0001] +[2024-05-25 14:34:07,598] - INFO: Epoch 1479/9999, Iter 147800: Loss = 0.008769320324063301, lr = [0.0001] +[2024-05-25 14:34:34,935] - INFO: Epoch 1479/9999, Iter 147840: Loss = 0.012707682326436043, lr = [0.0001] +[2024-05-25 14:35:02,090] - INFO: Epoch 1479/9999, Iter 147880: Loss = 0.006231715902686119, lr = [0.0001] +[2024-05-25 14:35:30,711] - INFO: Epoch 1480/9999, Iter 147920: Loss = 0.010596259497106075, lr = [0.0001] +[2024-05-25 14:35:57,867] - INFO: Epoch 1480/9999, Iter 147960: Loss = 0.012109672650694847, lr = [0.0001] +[2024-05-25 14:36:24,727] - INFO: Evaluate at epoch 1480! +[2024-05-25 14:36:29,501] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:36:29,502] - INFO: Eval PSNR (current): 38.045 (1480) SSIM (current): 0.9609 (1480) +[2024-05-25 14:36:29,502] - INFO: Evaluation over. +[2024-05-25 14:36:36,362] - INFO: Epoch 1481/9999, Iter 148000: Loss = 0.005479627754539251, lr = [0.0001] +[2024-05-25 14:37:03,676] - INFO: Epoch 1481/9999, Iter 148040: Loss = 0.019403837621212006, lr = [0.0001] +[2024-05-25 14:37:30,893] - INFO: Epoch 1481/9999, Iter 148080: Loss = 0.017507417127490044, lr = [0.0001] +[2024-05-25 14:37:59,574] - INFO: Epoch 1482/9999, Iter 148120: Loss = 0.014435146935284138, lr = [0.0001] +[2024-05-25 14:38:26,760] - INFO: Epoch 1482/9999, Iter 148160: Loss = 0.015771420672535896, lr = [0.0001] +[2024-05-25 14:38:55,324] - INFO: Epoch 1483/9999, Iter 148200: Loss = 0.009699849411845207, lr = [0.0001] +[2024-05-25 14:39:22,713] - INFO: Epoch 1483/9999, Iter 148240: Loss = 0.010740058496594429, lr = [0.0001] +[2024-05-25 14:39:49,970] - INFO: Epoch 1483/9999, Iter 148280: Loss = 0.008095727302134037, lr = [0.0001] +[2024-05-25 14:40:18,744] - INFO: Epoch 1484/9999, Iter 148320: Loss = 0.010258171707391739, lr = [0.0001] +[2024-05-25 14:40:46,007] - INFO: Epoch 1484/9999, Iter 148360: Loss = 0.009740273468196392, lr = [0.0001] +[2024-05-25 14:41:14,648] - INFO: Epoch 1485/9999, Iter 148400: Loss = 0.01568308286368847, lr = [0.0001] +[2024-05-25 14:41:41,958] - INFO: Epoch 1485/9999, Iter 148440: Loss = 0.021966595202684402, lr = [0.0001] +[2024-05-25 14:42:09,085] - INFO: Epoch 1485/9999, Iter 148480: Loss = 0.014862027950584888, lr = [0.0001] +[2024-05-25 14:42:22,549] - INFO: Evaluate at epoch 1485! +[2024-05-25 14:42:27,376] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:42:27,376] - INFO: Eval PSNR (current): 37.969 (1485) SSIM (current): 0.9607 (1485) +[2024-05-25 14:42:27,377] - INFO: Evaluation over. +[2024-05-25 14:42:47,889] - INFO: Epoch 1486/9999, Iter 148520: Loss = 0.020451439544558525, lr = [0.0001] +[2024-05-25 14:43:15,058] - INFO: Epoch 1486/9999, Iter 148560: Loss = 0.005476064048707485, lr = [0.0001] +[2024-05-25 14:43:43,846] - INFO: Epoch 1487/9999, Iter 148600: Loss = 0.014726707711815834, lr = [0.0001] +[2024-05-25 14:44:11,114] - INFO: Epoch 1487/9999, Iter 148640: Loss = 0.01649564318358898, lr = [0.0001] +[2024-05-25 14:44:38,316] - INFO: Epoch 1487/9999, Iter 148680: Loss = 0.01892225816845894, lr = [0.0001] +[2024-05-25 14:45:06,841] - INFO: Epoch 1488/9999, Iter 148720: Loss = 0.011515939608216286, lr = [0.0001] +[2024-05-25 14:45:34,086] - INFO: Epoch 1488/9999, Iter 148760: Loss = 0.01545097678899765, lr = [0.0001] +[2024-05-25 14:46:02,465] - INFO: Epoch 1489/9999, Iter 148800: Loss = 0.017187204211950302, lr = [0.0001] +[2024-05-25 14:46:29,817] - INFO: Epoch 1489/9999, Iter 148840: Loss = 0.016864463686943054, lr = [0.0001] +[2024-05-25 14:46:57,000] - INFO: Epoch 1489/9999, Iter 148880: Loss = 0.009622064419090748, lr = [0.0001] +[2024-05-25 14:47:25,567] - INFO: Epoch 1490/9999, Iter 148920: Loss = 0.0068451049737632275, lr = [0.0001] +[2024-05-25 14:47:52,766] - INFO: Epoch 1490/9999, Iter 148960: Loss = 0.013863060623407364, lr = [0.0001] +[2024-05-25 14:48:19,671] - INFO: Evaluate at epoch 1490! +[2024-05-25 14:48:24,427] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:48:24,427] - INFO: Eval PSNR (current): 37.759 (1490) SSIM (current): 0.9602 (1490) +[2024-05-25 14:48:24,427] - INFO: Evaluation over. +[2024-05-25 14:48:31,380] - INFO: Epoch 1491/9999, Iter 149000: Loss = 0.016593143343925476, lr = [0.0001] +[2024-05-25 14:48:58,612] - INFO: Epoch 1491/9999, Iter 149040: Loss = 0.014512944966554642, lr = [0.0001] +[2024-05-25 14:49:25,838] - INFO: Epoch 1491/9999, Iter 149080: Loss = 0.0119901392608881, lr = [0.0001] +[2024-05-25 14:49:54,545] - INFO: Epoch 1492/9999, Iter 149120: Loss = 0.01933201774954796, lr = [0.0001] +[2024-05-25 14:50:21,767] - INFO: Epoch 1492/9999, Iter 149160: Loss = 0.01407646294683218, lr = [0.0001] +[2024-05-25 14:50:50,338] - INFO: Epoch 1493/9999, Iter 149200: Loss = 0.009338514879345894, lr = [0.0001] +[2024-05-25 14:51:17,614] - INFO: Epoch 1493/9999, Iter 149240: Loss = 0.006228982470929623, lr = [0.0001] +[2024-05-25 14:51:44,876] - INFO: Epoch 1493/9999, Iter 149280: Loss = 0.009861242026090622, lr = [0.0001] +[2024-05-25 14:52:13,572] - INFO: Epoch 1494/9999, Iter 149320: Loss = 0.01348046213388443, lr = [0.0001] +[2024-05-25 14:52:40,799] - INFO: Epoch 1494/9999, Iter 149360: Loss = 0.012381182983517647, lr = [0.0001] +[2024-05-25 14:53:09,488] - INFO: Epoch 1495/9999, Iter 149400: Loss = 0.009474563412368298, lr = [0.0001] +[2024-05-25 14:53:36,776] - INFO: Epoch 1495/9999, Iter 149440: Loss = 0.015025114640593529, lr = [0.0001] +[2024-05-25 14:54:03,951] - INFO: Epoch 1495/9999, Iter 149480: Loss = 0.014966771006584167, lr = [0.0001] +[2024-05-25 14:54:17,223] - INFO: Evaluate at epoch 1495! +[2024-05-25 14:54:22,033] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:54:22,033] - INFO: Eval PSNR (current): 37.985 (1495) SSIM (current): 0.9608 (1495) +[2024-05-25 14:54:22,033] - INFO: Evaluation over. +[2024-05-25 14:54:42,503] - INFO: Epoch 1496/9999, Iter 149520: Loss = 0.014637247659265995, lr = [0.0001] +[2024-05-25 14:55:09,771] - INFO: Epoch 1496/9999, Iter 149560: Loss = 0.010613256134092808, lr = [0.0001] +[2024-05-25 14:55:38,405] - INFO: Epoch 1497/9999, Iter 149600: Loss = 0.006373428739607334, lr = [0.0001] +[2024-05-25 14:56:05,740] - INFO: Epoch 1497/9999, Iter 149640: Loss = 0.010839368216693401, lr = [0.0001] +[2024-05-25 14:56:32,939] - INFO: Epoch 1497/9999, Iter 149680: Loss = 0.018644770607352257, lr = [0.0001] +[2024-05-25 14:57:01,512] - INFO: Epoch 1498/9999, Iter 149720: Loss = 0.017584573477506638, lr = [0.0001] +[2024-05-25 14:57:28,714] - INFO: Epoch 1498/9999, Iter 149760: Loss = 0.01012168638408184, lr = [0.0001] +[2024-05-25 14:57:57,405] - INFO: Epoch 1499/9999, Iter 149800: Loss = 0.015977751463651657, lr = [0.0001] +[2024-05-25 14:58:24,802] - INFO: Epoch 1499/9999, Iter 149840: Loss = 0.014641700312495232, lr = [0.0001] +[2024-05-25 14:58:51,928] - INFO: Epoch 1499/9999, Iter 149880: Loss = 0.02259177155792713, lr = [0.0001] +[2024-05-25 14:59:20,416] - INFO: Epoch 1500/9999, Iter 149920: Loss = 0.012013876810669899, lr = [5e-05] +[2024-05-25 14:59:47,709] - INFO: Epoch 1500/9999, Iter 149960: Loss = 0.012669113464653492, lr = [5e-05] +[2024-05-25 15:00:14,629] - INFO: Evaluate at epoch 1500! +[2024-05-25 15:00:19,363] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 15:00:19,363] - INFO: Eval PSNR (current): 38.013 (1500) SSIM (current): 0.9609 (1500) +[2024-05-25 15:00:19,363] - INFO: Evaluation over. +[2024-05-25 15:00:26,247] - INFO: Epoch 1501/9999, Iter 150000: Loss = 0.008737131021916866, lr = [5e-05] +[2024-05-25 15:00:53,579] - INFO: Epoch 1501/9999, Iter 150040: Loss = 0.00961355958133936, lr = [5e-05] +[2024-05-25 15:01:20,778] - INFO: Epoch 1501/9999, Iter 150080: Loss = 0.01610010489821434, lr = [5e-05] +[2024-05-25 15:01:49,283] - INFO: Epoch 1502/9999, Iter 150120: Loss = 0.014711640775203705, lr = [5e-05] +[2024-05-25 15:02:16,489] - INFO: Epoch 1502/9999, Iter 150160: Loss = 0.017865028232336044, lr = [5e-05] +[2024-05-25 15:02:44,962] - INFO: Epoch 1503/9999, Iter 150200: Loss = 0.009578652679920197, lr = [5e-05] +[2024-05-25 15:03:12,332] - INFO: Epoch 1503/9999, Iter 150240: Loss = 0.01316365972161293, lr = [5e-05] +[2024-05-25 15:03:39,569] - INFO: Epoch 1503/9999, Iter 150280: Loss = 0.011206096969544888, lr = [5e-05] +[2024-05-25 15:04:08,186] - INFO: Epoch 1504/9999, Iter 150320: Loss = 0.016308387741446495, lr = [5e-05] +[2024-05-25 15:04:35,390] - INFO: Epoch 1504/9999, Iter 150360: Loss = 0.009021014906466007, lr = [5e-05] +[2024-05-25 15:05:03,795] - INFO: Epoch 1505/9999, Iter 150400: Loss = 0.010127399116754532, lr = [5e-05] +[2024-05-25 15:05:31,167] - INFO: Epoch 1505/9999, Iter 150440: Loss = 0.015070678666234016, lr = [5e-05] +[2024-05-25 15:05:58,366] - INFO: Epoch 1505/9999, Iter 150480: Loss = 0.019078215584158897, lr = [5e-05] +[2024-05-25 15:06:11,654] - INFO: Evaluate at epoch 1505! +[2024-05-25 15:06:16,414] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 15:06:16,415] - INFO: Eval PSNR (current): 37.960 (1505) SSIM (current): 0.9609 (1505) +[2024-05-25 15:06:16,415] - INFO: Evaluation over. +[2024-05-25 15:06:37,033] - INFO: Epoch 1506/9999, Iter 150520: Loss = 0.011607479304075241, lr = [5e-05] +[2024-05-25 15:07:04,218] - INFO: Epoch 1506/9999, Iter 150560: Loss = 0.00985195767134428, lr = [5e-05] +[2024-05-25 15:07:32,964] - INFO: Epoch 1507/9999, Iter 150600: Loss = 0.010934141464531422, lr = [5e-05] +[2024-05-25 15:08:00,328] - INFO: Epoch 1507/9999, Iter 150640: Loss = 0.01610608771443367, lr = [5e-05] +[2024-05-25 15:08:27,498] - INFO: Epoch 1507/9999, Iter 150680: Loss = 0.011081146076321602, lr = [5e-05] +[2024-05-25 15:08:56,197] - INFO: Epoch 1508/9999, Iter 150720: Loss = 0.01404667366296053, lr = [5e-05] +[2024-05-25 15:09:23,418] - INFO: Epoch 1508/9999, Iter 150760: Loss = 0.013626137748360634, lr = [5e-05] +[2024-05-25 15:09:52,180] - INFO: Epoch 1509/9999, Iter 150800: Loss = 0.011724061332643032, lr = [5e-05] +[2024-05-25 15:10:19,478] - INFO: Epoch 1509/9999, Iter 150840: Loss = 0.011005640029907227, lr = [5e-05] +[2024-05-25 15:10:46,681] - INFO: Epoch 1509/9999, Iter 150880: Loss = 0.010757415555417538, lr = [5e-05] +[2024-05-25 15:11:15,289] - INFO: Epoch 1510/9999, Iter 150920: Loss = 0.010748893022537231, lr = [5e-05] +[2024-05-25 15:11:42,459] - INFO: Epoch 1510/9999, Iter 150960: Loss = 0.013154758140444756, lr = [5e-05] +[2024-05-25 15:12:09,394] - INFO: Evaluate at epoch 1510! +[2024-05-25 15:12:19,392] - INFO: Eval PSNR (max): 38.073 (1510) SSIM (max): 0.9611 (1220) +[2024-05-25 15:12:19,393] - INFO: Eval PSNR (current): 38.073 (1510) SSIM (current): 0.9610 (1510) +[2024-05-25 15:12:19,393] - INFO: Evaluation over. +[2024-05-25 15:12:26,258] - INFO: Epoch 1511/9999, Iter 151000: Loss = 0.01963699236512184, lr = [5e-05] +[2024-05-25 15:12:53,475] - INFO: Epoch 1511/9999, Iter 151040: Loss = 0.011155368760228157, lr = [5e-05] +[2024-05-25 15:13:20,682] - INFO: Epoch 1511/9999, Iter 151080: Loss = 0.010302899405360222, lr = [5e-05] +[2024-05-25 15:13:49,260] - INFO: Epoch 1512/9999, Iter 151120: Loss = 0.008010804653167725, lr = [5e-05] +[2024-05-25 15:14:16,491] - INFO: Epoch 1512/9999, Iter 151160: Loss = 0.009958343580365181, lr = [5e-05] +[2024-05-25 15:14:45,149] - INFO: Epoch 1513/9999, Iter 151200: Loss = 0.017557356506586075, lr = [5e-05] +[2024-05-25 15:15:12,511] - INFO: Epoch 1513/9999, Iter 151240: Loss = 0.023994365707039833, lr = [5e-05] +[2024-05-25 15:15:39,680] - INFO: Epoch 1513/9999, Iter 151280: Loss = 0.013026325032114983, lr = [5e-05] +[2024-05-25 15:16:08,386] - INFO: Epoch 1514/9999, Iter 151320: Loss = 0.02199733443558216, lr = [5e-05] +[2024-05-25 15:16:35,714] - INFO: Epoch 1514/9999, Iter 151360: Loss = 0.005750745534896851, lr = [5e-05] +[2024-05-25 15:17:04,330] - INFO: Epoch 1515/9999, Iter 151400: Loss = 0.011063415557146072, lr = [5e-05] +[2024-05-25 15:17:31,635] - INFO: Epoch 1515/9999, Iter 151440: Loss = 0.010318630374968052, lr = [5e-05] +[2024-05-25 15:17:58,853] - INFO: Epoch 1515/9999, Iter 151480: Loss = 0.00922628678381443, lr = [5e-05] +[2024-05-25 15:18:12,192] - INFO: Evaluate at epoch 1515! +[2024-05-25 15:18:16,882] - INFO: Eval PSNR (max): 38.073 (1510) SSIM (max): 0.9611 (1220) +[2024-05-25 15:18:16,882] - INFO: Eval PSNR (current): 38.035 (1515) SSIM (current): 0.9610 (1515) +[2024-05-25 15:18:16,882] - INFO: Evaluation over. +[2024-05-25 15:18:37,411] - INFO: Epoch 1516/9999, Iter 151520: Loss = 0.011886714026331902, lr = [5e-05] +[2024-05-25 15:19:04,562] - INFO: Epoch 1516/9999, Iter 151560: Loss = 0.0069773332215845585, lr = [5e-05] +[2024-05-25 15:19:33,301] - INFO: Epoch 1517/9999, Iter 151600: Loss = 0.016171157360076904, lr = [5e-05] +[2024-05-25 15:20:00,598] - INFO: Epoch 1517/9999, Iter 151640: Loss = 0.017474349588155746, lr = [5e-05] +[2024-05-25 15:20:27,786] - INFO: Epoch 1517/9999, Iter 151680: Loss = 0.014042573980987072, lr = [5e-05] +[2024-05-25 15:20:56,473] - INFO: Epoch 1518/9999, Iter 151720: Loss = 0.010405060835182667, lr = [5e-05] +[2024-05-25 15:21:23,682] - INFO: Epoch 1518/9999, Iter 151760: Loss = 0.014555995352566242, lr = [5e-05] +[2024-05-25 15:21:52,105] - INFO: Epoch 1519/9999, Iter 151800: Loss = 0.01115905400365591, lr = [5e-05] +[2024-05-25 15:22:19,421] - INFO: Epoch 1519/9999, Iter 151840: Loss = 0.007474289275705814, lr = [5e-05] +[2024-05-25 15:22:46,598] - INFO: Epoch 1519/9999, Iter 151880: Loss = 0.010303054936230183, lr = [5e-05] +[2024-05-25 15:23:15,261] - INFO: Epoch 1520/9999, Iter 151920: Loss = 0.015948310494422913, lr = [5e-05] +[2024-05-25 15:23:42,506] - INFO: Epoch 1520/9999, Iter 151960: Loss = 0.0050371610559523106, lr = [5e-05] +[2024-05-25 15:24:09,358] - INFO: Evaluate at epoch 1520! +[2024-05-25 15:24:24,130] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1520) +[2024-05-25 15:24:24,130] - INFO: Eval PSNR (current): 38.073 (1520) SSIM (current): 0.9611 (1520) +[2024-05-25 15:24:24,131] - INFO: Evaluation over. +[2024-05-25 15:24:31,053] - INFO: Epoch 1521/9999, Iter 152000: Loss = 0.011365024372935295, lr = [5e-05] +[2024-05-25 15:24:58,280] - INFO: Epoch 1521/9999, Iter 152040: Loss = 0.01477832905948162, lr = [5e-05] +[2024-05-25 15:25:25,467] - INFO: Epoch 1521/9999, Iter 152080: Loss = 0.010147741995751858, lr = [5e-05] +[2024-05-25 15:25:54,290] - INFO: Epoch 1522/9999, Iter 152120: Loss = 0.011868075467646122, lr = [5e-05] +[2024-05-25 15:26:21,484] - INFO: Epoch 1522/9999, Iter 152160: Loss = 0.013282875530421734, lr = [5e-05] +[2024-05-25 15:26:49,909] - INFO: Epoch 1523/9999, Iter 152200: Loss = 0.010351913049817085, lr = [5e-05] +[2024-05-25 15:27:17,191] - INFO: Epoch 1523/9999, Iter 152240: Loss = 0.0118362195789814, lr = [5e-05] +[2024-05-25 15:27:44,414] - INFO: Epoch 1523/9999, Iter 152280: Loss = 0.013282912783324718, lr = [5e-05] +[2024-05-25 15:28:13,188] - INFO: Epoch 1524/9999, Iter 152320: Loss = 0.01177685335278511, lr = [5e-05] +[2024-05-25 15:28:40,370] - INFO: Epoch 1524/9999, Iter 152360: Loss = 0.012786786071956158, lr = [5e-05] +[2024-05-25 15:29:08,994] - INFO: Epoch 1525/9999, Iter 152400: Loss = 0.018090784549713135, lr = [5e-05] +[2024-05-25 15:29:36,298] - INFO: Epoch 1525/9999, Iter 152440: Loss = 0.011369426734745502, lr = [5e-05] +[2024-05-25 15:30:03,523] - INFO: Epoch 1525/9999, Iter 152480: Loss = 0.00972558744251728, lr = [5e-05] +[2024-05-25 15:30:16,801] - INFO: Evaluate at epoch 1525! +[2024-05-25 15:30:21,636] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1520) +[2024-05-25 15:30:21,637] - INFO: Eval PSNR (current): 38.013 (1525) SSIM (current): 0.9610 (1525) +[2024-05-25 15:30:21,637] - INFO: Evaluation over. +[2024-05-25 15:30:42,218] - INFO: Epoch 1526/9999, Iter 152520: Loss = 0.006441052537411451, lr = [5e-05] +[2024-05-25 15:31:09,434] - INFO: Epoch 1526/9999, Iter 152560: Loss = 0.009405112825334072, lr = [5e-05] +[2024-05-25 15:31:38,100] - INFO: Epoch 1527/9999, Iter 152600: Loss = 0.009260684251785278, lr = [5e-05] +[2024-05-25 15:32:05,384] - INFO: Epoch 1527/9999, Iter 152640: Loss = 0.008381453342735767, lr = [5e-05] +[2024-05-25 15:32:32,558] - INFO: Epoch 1527/9999, Iter 152680: Loss = 0.007435962557792664, lr = [5e-05] +[2024-05-25 15:33:01,265] - INFO: Epoch 1528/9999, Iter 152720: Loss = 0.016118617728352547, lr = [5e-05] +[2024-05-25 15:33:28,423] - INFO: Epoch 1528/9999, Iter 152760: Loss = 0.018853947520256042, lr = [5e-05] +[2024-05-25 15:33:57,097] - INFO: Epoch 1529/9999, Iter 152800: Loss = 0.01158609427511692, lr = [5e-05] +[2024-05-25 15:34:24,431] - INFO: Epoch 1529/9999, Iter 152840: Loss = 0.009239996783435345, lr = [5e-05] +[2024-05-25 15:34:51,642] - INFO: Epoch 1529/9999, Iter 152880: Loss = 0.016542183235287666, lr = [5e-05] +[2024-05-25 15:35:20,222] - INFO: Epoch 1530/9999, Iter 152920: Loss = 0.016886023804545403, lr = [5e-05] +[2024-05-25 15:35:47,494] - INFO: Epoch 1530/9999, Iter 152960: Loss = 0.015100055374205112, lr = [5e-05] +[2024-05-25 15:36:14,384] - INFO: Evaluate at epoch 1530! +[2024-05-25 15:36:19,249] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1520) +[2024-05-25 15:36:19,250] - INFO: Eval PSNR (current): 38.060 (1530) SSIM (current): 0.9611 (1530) +[2024-05-25 15:36:19,250] - INFO: Evaluation over. +[2024-05-25 15:36:26,036] - INFO: Epoch 1531/9999, Iter 153000: Loss = 0.010424322448670864, lr = [5e-05] +[2024-05-25 15:36:53,295] - INFO: Epoch 1531/9999, Iter 153040: Loss = 0.013012716546654701, lr = [5e-05] +[2024-05-25 15:37:20,453] - INFO: Epoch 1531/9999, Iter 153080: Loss = 0.007204791996628046, lr = [5e-05] +[2024-05-25 15:37:48,824] - INFO: Epoch 1532/9999, Iter 153120: Loss = 0.01092186477035284, lr = [5e-05] +[2024-05-25 15:38:16,026] - INFO: Epoch 1532/9999, Iter 153160: Loss = 0.00953854713588953, lr = [5e-05] +[2024-05-25 15:38:44,800] - INFO: Epoch 1533/9999, Iter 153200: Loss = 0.01990552246570587, lr = [5e-05] +[2024-05-25 15:39:12,132] - INFO: Epoch 1533/9999, Iter 153240: Loss = 0.014678334817290306, lr = [5e-05] +[2024-05-25 15:39:39,355] - INFO: Epoch 1533/9999, Iter 153280: Loss = 0.005695419851690531, lr = [5e-05] +[2024-05-25 15:40:07,969] - INFO: Epoch 1534/9999, Iter 153320: Loss = 0.010703997686505318, lr = [5e-05] +[2024-05-25 15:40:35,170] - INFO: Epoch 1534/9999, Iter 153360: Loss = 0.01175372302532196, lr = [5e-05] +[2024-05-25 15:41:03,525] - INFO: Epoch 1535/9999, Iter 153400: Loss = 0.011481408029794693, lr = [5e-05] +[2024-05-25 15:41:30,832] - INFO: Epoch 1535/9999, Iter 153440: Loss = 0.02399267628788948, lr = [5e-05] +[2024-05-25 15:41:57,984] - INFO: Epoch 1535/9999, Iter 153480: Loss = 0.007588360458612442, lr = [5e-05] +[2024-05-25 15:42:11,387] - INFO: Evaluate at epoch 1535! +[2024-05-25 15:42:21,160] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1535) +[2024-05-25 15:42:21,161] - INFO: Eval PSNR (current): 38.073 (1535) SSIM (current): 0.9611 (1535) +[2024-05-25 15:42:21,161] - INFO: Evaluation over. +[2024-05-25 15:42:41,592] - INFO: Epoch 1536/9999, Iter 153520: Loss = 0.009451399557292461, lr = [5e-05] +[2024-05-25 15:43:08,784] - INFO: Epoch 1536/9999, Iter 153560: Loss = 0.009554353542625904, lr = [5e-05] +[2024-05-25 15:43:37,489] - INFO: Epoch 1537/9999, Iter 153600: Loss = 0.008323892019689083, lr = [5e-05] +[2024-05-25 15:44:04,751] - INFO: Epoch 1537/9999, Iter 153640: Loss = 0.010309605859220028, lr = [5e-05] +[2024-05-25 15:44:31,966] - INFO: Epoch 1537/9999, Iter 153680: Loss = 0.021620431914925575, lr = [5e-05] +[2024-05-25 15:45:00,571] - INFO: Epoch 1538/9999, Iter 153720: Loss = 0.01337407249957323, lr = [5e-05] +[2024-05-25 15:45:27,789] - INFO: Epoch 1538/9999, Iter 153760: Loss = 0.008545514196157455, lr = [5e-05] +[2024-05-25 15:45:56,404] - INFO: Epoch 1539/9999, Iter 153800: Loss = 0.009217692539095879, lr = [5e-05] +[2024-05-25 15:46:23,736] - INFO: Epoch 1539/9999, Iter 153840: Loss = 0.007398238871246576, lr = [5e-05] +[2024-05-25 15:46:50,975] - INFO: Epoch 1539/9999, Iter 153880: Loss = 0.011614354327321053, lr = [5e-05] +[2024-05-25 15:47:19,563] - INFO: Epoch 1540/9999, Iter 153920: Loss = 0.012514940463006496, lr = [5e-05] +[2024-05-25 15:47:46,715] - INFO: Epoch 1540/9999, Iter 153960: Loss = 0.014561441726982594, lr = [5e-05] +[2024-05-25 15:48:13,608] - INFO: Evaluate at epoch 1540! +[2024-05-25 15:48:18,480] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1535) +[2024-05-25 15:48:18,480] - INFO: Eval PSNR (current): 38.066 (1540) SSIM (current): 0.9611 (1540) +[2024-05-25 15:48:18,480] - INFO: Evaluation over. +[2024-05-25 15:48:26,017] - INFO: Epoch 1541/9999, Iter 154000: Loss = 0.009147846139967442, lr = [5e-05] +[2024-05-25 15:48:53,379] - INFO: Epoch 1541/9999, Iter 154040: Loss = 0.011226581409573555, lr = [5e-05] +[2024-05-25 15:49:20,553] - INFO: Epoch 1541/9999, Iter 154080: Loss = 0.015438955277204514, lr = [5e-05] +[2024-05-25 15:49:49,308] - INFO: Epoch 1542/9999, Iter 154120: Loss = 0.010437623597681522, lr = [5e-05] +[2024-05-25 15:50:16,639] - INFO: Epoch 1542/9999, Iter 154160: Loss = 0.015002116560935974, lr = [5e-05] +[2024-05-25 15:50:45,341] - INFO: Epoch 1543/9999, Iter 154200: Loss = 0.009824775159358978, lr = [5e-05] +[2024-05-25 15:51:12,623] - INFO: Epoch 1543/9999, Iter 154240: Loss = 0.010476868599653244, lr = [5e-05] +[2024-05-25 15:51:39,800] - INFO: Epoch 1543/9999, Iter 154280: Loss = 0.015289686620235443, lr = [5e-05] +[2024-05-25 15:52:08,550] - INFO: Epoch 1544/9999, Iter 154320: Loss = 0.020327581092715263, lr = [5e-05] +[2024-05-25 15:52:35,673] - INFO: Epoch 1544/9999, Iter 154360: Loss = 0.011433495208621025, lr = [5e-05] +[2024-05-25 15:53:04,325] - INFO: Epoch 1545/9999, Iter 154400: Loss = 0.025145331397652626, lr = [5e-05] +[2024-05-25 15:53:31,684] - INFO: Epoch 1545/9999, Iter 154440: Loss = 0.013597573153674603, lr = [5e-05] +[2024-05-25 15:53:58,955] - INFO: Epoch 1545/9999, Iter 154480: Loss = 0.009936332702636719, lr = [5e-05] +[2024-05-25 15:54:12,304] - INFO: Evaluate at epoch 1545! +[2024-05-25 15:54:22,163] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9611 (1535) +[2024-05-25 15:54:22,163] - INFO: Eval PSNR (current): 38.109 (1545) SSIM (current): 0.9611 (1545) +[2024-05-25 15:54:22,164] - INFO: Evaluation over. +[2024-05-25 15:54:42,839] - INFO: Epoch 1546/9999, Iter 154520: Loss = 0.010790175758302212, lr = [5e-05] +[2024-05-25 15:55:10,017] - INFO: Epoch 1546/9999, Iter 154560: Loss = 0.015543800778687, lr = [5e-05] +[2024-05-25 15:55:38,730] - INFO: Epoch 1547/9999, Iter 154600: Loss = 0.015962103381752968, lr = [5e-05] +[2024-05-25 15:56:05,940] - INFO: Epoch 1547/9999, Iter 154640: Loss = 0.008673019707202911, lr = [5e-05] +[2024-05-25 15:56:33,124] - INFO: Epoch 1547/9999, Iter 154680: Loss = 0.011401609517633915, lr = [5e-05] +[2024-05-25 15:57:01,627] - INFO: Epoch 1548/9999, Iter 154720: Loss = 0.008737028576433659, lr = [5e-05] +[2024-05-25 15:57:28,842] - INFO: Epoch 1548/9999, Iter 154760: Loss = 0.015411540865898132, lr = [5e-05] +[2024-05-25 15:57:57,501] - INFO: Epoch 1549/9999, Iter 154800: Loss = 0.014953864738345146, lr = [5e-05] +[2024-05-25 15:58:24,942] - INFO: Epoch 1549/9999, Iter 154840: Loss = 0.01668025180697441, lr = [5e-05] +[2024-05-25 15:58:52,175] - INFO: Epoch 1549/9999, Iter 154880: Loss = 0.012983085587620735, lr = [5e-05] +[2024-05-25 15:59:21,019] - INFO: Epoch 1550/9999, Iter 154920: Loss = 0.009964920580387115, lr = [5e-05] +[2024-05-25 15:59:48,206] - INFO: Epoch 1550/9999, Iter 154960: Loss = 0.013316333293914795, lr = [5e-05] +[2024-05-25 16:00:15,084] - INFO: Evaluate at epoch 1550! +[2024-05-25 16:00:25,480] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:00:25,481] - INFO: Eval PSNR (current): 38.097 (1550) SSIM (current): 0.9612 (1550) +[2024-05-25 16:00:25,481] - INFO: Evaluation over. +[2024-05-25 16:00:32,368] - INFO: Epoch 1551/9999, Iter 155000: Loss = 0.009367117658257484, lr = [5e-05] +[2024-05-25 16:00:59,646] - INFO: Epoch 1551/9999, Iter 155040: Loss = 0.011977280490100384, lr = [5e-05] +[2024-05-25 16:01:26,875] - INFO: Epoch 1551/9999, Iter 155080: Loss = 0.00857968907803297, lr = [5e-05] +[2024-05-25 16:01:55,616] - INFO: Epoch 1552/9999, Iter 155120: Loss = 0.02113601379096508, lr = [5e-05] +[2024-05-25 16:02:22,788] - INFO: Epoch 1552/9999, Iter 155160: Loss = 0.011427903547883034, lr = [5e-05] +[2024-05-25 16:02:51,529] - INFO: Epoch 1553/9999, Iter 155200: Loss = 0.00709256436675787, lr = [5e-05] +[2024-05-25 16:03:18,897] - INFO: Epoch 1553/9999, Iter 155240: Loss = 0.012258047237992287, lr = [5e-05] +[2024-05-25 16:03:46,127] - INFO: Epoch 1553/9999, Iter 155280: Loss = 0.012084359303116798, lr = [5e-05] +[2024-05-25 16:04:14,561] - INFO: Epoch 1554/9999, Iter 155320: Loss = 0.01709405519068241, lr = [5e-05] +[2024-05-25 16:04:41,735] - INFO: Epoch 1554/9999, Iter 155360: Loss = 0.012102385051548481, lr = [5e-05] +[2024-05-25 16:05:10,332] - INFO: Epoch 1555/9999, Iter 155400: Loss = 0.009011722169816494, lr = [5e-05] +[2024-05-25 16:05:37,594] - INFO: Epoch 1555/9999, Iter 155440: Loss = 0.005967766046524048, lr = [5e-05] +[2024-05-25 16:06:04,819] - INFO: Epoch 1555/9999, Iter 155480: Loss = 0.013016138225793839, lr = [5e-05] +[2024-05-25 16:06:18,093] - INFO: Evaluate at epoch 1555! +[2024-05-25 16:06:22,899] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:06:22,900] - INFO: Eval PSNR (current): 38.045 (1555) SSIM (current): 0.9611 (1555) +[2024-05-25 16:06:22,900] - INFO: Evaluation over. +[2024-05-25 16:06:43,563] - INFO: Epoch 1556/9999, Iter 155520: Loss = 0.01495387963950634, lr = [5e-05] +[2024-05-25 16:07:10,790] - INFO: Epoch 1556/9999, Iter 155560: Loss = 0.017496444284915924, lr = [5e-05] +[2024-05-25 16:07:39,384] - INFO: Epoch 1557/9999, Iter 155600: Loss = 0.01021907664835453, lr = [5e-05] +[2024-05-25 16:08:06,731] - INFO: Epoch 1557/9999, Iter 155640: Loss = 0.00944214966148138, lr = [5e-05] +[2024-05-25 16:08:33,889] - INFO: Epoch 1557/9999, Iter 155680: Loss = 0.006118187215179205, lr = [5e-05] +[2024-05-25 16:09:02,499] - INFO: Epoch 1558/9999, Iter 155720: Loss = 0.010389125905930996, lr = [5e-05] +[2024-05-25 16:09:29,743] - INFO: Epoch 1558/9999, Iter 155760: Loss = 0.016700023785233498, lr = [5e-05] +[2024-05-25 16:09:58,155] - INFO: Epoch 1559/9999, Iter 155800: Loss = 0.019976550713181496, lr = [5e-05] +[2024-05-25 16:10:25,360] - INFO: Epoch 1559/9999, Iter 155840: Loss = 0.009852631948888302, lr = [5e-05] +[2024-05-25 16:10:52,562] - INFO: Epoch 1559/9999, Iter 155880: Loss = 0.008106876164674759, lr = [5e-05] +[2024-05-25 16:11:21,380] - INFO: Epoch 1560/9999, Iter 155920: Loss = 0.013918212614953518, lr = [5e-05] +[2024-05-25 16:11:48,595] - INFO: Epoch 1560/9999, Iter 155960: Loss = 0.0075681679882109165, lr = [5e-05] +[2024-05-25 16:12:15,619] - INFO: Evaluate at epoch 1560! +[2024-05-25 16:12:20,421] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:12:20,422] - INFO: Eval PSNR (current): 38.065 (1560) SSIM (current): 0.9610 (1560) +[2024-05-25 16:12:20,422] - INFO: Evaluation over. +[2024-05-25 16:12:27,636] - INFO: Epoch 1561/9999, Iter 156000: Loss = 0.011905756779015064, lr = [5e-05] +[2024-05-25 16:12:54,824] - INFO: Epoch 1561/9999, Iter 156040: Loss = 0.010755603201687336, lr = [5e-05] +[2024-05-25 16:13:22,015] - INFO: Epoch 1561/9999, Iter 156080: Loss = 0.012167088687419891, lr = [5e-05] +[2024-05-25 16:13:50,818] - INFO: Epoch 1562/9999, Iter 156120: Loss = 0.015397629700601101, lr = [5e-05] +[2024-05-25 16:14:18,006] - INFO: Epoch 1562/9999, Iter 156160: Loss = 0.009062050841748714, lr = [5e-05] +[2024-05-25 16:14:46,521] - INFO: Epoch 1563/9999, Iter 156200: Loss = 0.012079419568181038, lr = [5e-05] +[2024-05-25 16:15:13,915] - INFO: Epoch 1563/9999, Iter 156240: Loss = 0.015283230692148209, lr = [5e-05] +[2024-05-25 16:15:41,066] - INFO: Epoch 1563/9999, Iter 156280: Loss = 0.005690385587513447, lr = [5e-05] +[2024-05-25 16:16:09,684] - INFO: Epoch 1564/9999, Iter 156320: Loss = 0.00968571100383997, lr = [5e-05] +[2024-05-25 16:16:36,867] - INFO: Epoch 1564/9999, Iter 156360: Loss = 0.019409192726016045, lr = [5e-05] +[2024-05-25 16:17:05,412] - INFO: Epoch 1565/9999, Iter 156400: Loss = 0.014945568516850471, lr = [5e-05] +[2024-05-25 16:17:32,749] - INFO: Epoch 1565/9999, Iter 156440: Loss = 0.011929724365472794, lr = [5e-05] +[2024-05-25 16:17:59,935] - INFO: Epoch 1565/9999, Iter 156480: Loss = 0.01693870685994625, lr = [5e-05] +[2024-05-25 16:18:13,253] - INFO: Evaluate at epoch 1565! +[2024-05-25 16:18:17,986] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:18:17,986] - INFO: Eval PSNR (current): 38.055 (1565) SSIM (current): 0.9610 (1565) +[2024-05-25 16:18:17,986] - INFO: Evaluation over. +[2024-05-25 16:18:38,844] - INFO: Epoch 1566/9999, Iter 156520: Loss = 0.011605320498347282, lr = [5e-05] +[2024-05-25 16:19:05,992] - INFO: Epoch 1566/9999, Iter 156560: Loss = 0.014457831159234047, lr = [5e-05] +[2024-05-25 16:19:34,569] - INFO: Epoch 1567/9999, Iter 156600: Loss = 0.012950298376381397, lr = [5e-05] +[2024-05-25 16:20:01,842] - INFO: Epoch 1567/9999, Iter 156640: Loss = 0.009909464977681637, lr = [5e-05] +[2024-05-25 16:20:29,083] - INFO: Epoch 1567/9999, Iter 156680: Loss = 0.015679536387324333, lr = [5e-05] +[2024-05-25 16:20:57,829] - INFO: Epoch 1568/9999, Iter 156720: Loss = 0.012579874135553837, lr = [5e-05] +[2024-05-25 16:21:25,054] - INFO: Epoch 1568/9999, Iter 156760: Loss = 0.010429594665765762, lr = [5e-05] +[2024-05-25 16:21:53,411] - INFO: Epoch 1569/9999, Iter 156800: Loss = 0.023786552250385284, lr = [5e-05] +[2024-05-25 16:22:20,789] - INFO: Epoch 1569/9999, Iter 156840: Loss = 0.019413020461797714, lr = [5e-05] +[2024-05-25 16:22:47,929] - INFO: Epoch 1569/9999, Iter 156880: Loss = 0.017138613387942314, lr = [5e-05] +[2024-05-25 16:23:16,706] - INFO: Epoch 1570/9999, Iter 156920: Loss = 0.012342404574155807, lr = [5e-05] +[2024-05-25 16:23:43,915] - INFO: Epoch 1570/9999, Iter 156960: Loss = 0.010681710205972195, lr = [5e-05] +[2024-05-25 16:24:10,808] - INFO: Evaluate at epoch 1570! +[2024-05-25 16:24:15,452] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:24:15,453] - INFO: Eval PSNR (current): 38.051 (1570) SSIM (current): 0.9610 (1570) +[2024-05-25 16:24:15,453] - INFO: Evaluation over. +[2024-05-25 16:24:22,177] - INFO: Epoch 1571/9999, Iter 157000: Loss = 0.009924612939357758, lr = [5e-05] +[2024-05-25 16:24:49,468] - INFO: Epoch 1571/9999, Iter 157040: Loss = 0.022080885246396065, lr = [5e-05] +[2024-05-25 16:25:16,619] - INFO: Epoch 1571/9999, Iter 157080: Loss = 0.009013084694743156, lr = [5e-05] +[2024-05-25 16:25:45,298] - INFO: Epoch 1572/9999, Iter 157120: Loss = 0.011073141358792782, lr = [5e-05] +[2024-05-25 16:26:12,456] - INFO: Epoch 1572/9999, Iter 157160: Loss = 0.014510628767311573, lr = [5e-05] +[2024-05-25 16:26:41,153] - INFO: Epoch 1573/9999, Iter 157200: Loss = 0.006449120584875345, lr = [5e-05] +[2024-05-25 16:27:08,509] - INFO: Epoch 1573/9999, Iter 157240: Loss = 0.012070409022271633, lr = [5e-05] +[2024-05-25 16:27:35,741] - INFO: Epoch 1573/9999, Iter 157280: Loss = 0.013666738756000996, lr = [5e-05] +[2024-05-25 16:28:04,376] - INFO: Epoch 1574/9999, Iter 157320: Loss = 0.01966245099902153, lr = [5e-05] +[2024-05-25 16:28:31,674] - INFO: Epoch 1574/9999, Iter 157360: Loss = 0.011045588180422783, lr = [5e-05] +[2024-05-25 16:29:00,349] - INFO: Epoch 1575/9999, Iter 157400: Loss = 0.014672365970909595, lr = [5e-05] +[2024-05-25 16:29:27,628] - INFO: Epoch 1575/9999, Iter 157440: Loss = 0.015881050378084183, lr = [5e-05] +[2024-05-25 16:29:54,790] - INFO: Epoch 1575/9999, Iter 157480: Loss = 0.012961638160049915, lr = [5e-05] +[2024-05-25 16:30:08,114] - INFO: Evaluate at epoch 1575! +[2024-05-25 16:30:12,760] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:30:12,760] - INFO: Eval PSNR (current): 38.057 (1575) SSIM (current): 0.9610 (1575) +[2024-05-25 16:30:12,760] - INFO: Evaluation over. +[2024-05-25 16:30:33,316] - INFO: Epoch 1576/9999, Iter 157520: Loss = 0.0078957574442029, lr = [5e-05] +[2024-05-25 16:31:00,501] - INFO: Epoch 1576/9999, Iter 157560: Loss = 0.022204753011465073, lr = [5e-05] +[2024-05-25 16:31:28,962] - INFO: Epoch 1577/9999, Iter 157600: Loss = 0.012986414134502411, lr = [5e-05] +[2024-05-25 16:31:56,274] - INFO: Epoch 1577/9999, Iter 157640: Loss = 0.011038394644856453, lr = [5e-05] +[2024-05-25 16:32:23,545] - INFO: Epoch 1577/9999, Iter 157680: Loss = 0.01195590291172266, lr = [5e-05] +[2024-05-25 16:32:52,363] - INFO: Epoch 1578/9999, Iter 157720: Loss = 0.02083439752459526, lr = [5e-05] +[2024-05-25 16:33:19,580] - INFO: Epoch 1578/9999, Iter 157760: Loss = 0.015705300495028496, lr = [5e-05] +[2024-05-25 16:33:48,133] - INFO: Epoch 1579/9999, Iter 157800: Loss = 0.009045220911502838, lr = [5e-05] +[2024-05-25 16:34:15,462] - INFO: Epoch 1579/9999, Iter 157840: Loss = 0.02254815772175789, lr = [5e-05] +[2024-05-25 16:34:42,669] - INFO: Epoch 1579/9999, Iter 157880: Loss = 0.014165368862450123, lr = [5e-05] +[2024-05-25 16:35:11,467] - INFO: Epoch 1580/9999, Iter 157920: Loss = 0.013030319474637508, lr = [5e-05] +[2024-05-25 16:35:38,711] - INFO: Epoch 1580/9999, Iter 157960: Loss = 0.008090825751423836, lr = [5e-05] +[2024-05-25 16:36:05,572] - INFO: Evaluate at epoch 1580! +[2024-05-25 16:36:15,674] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 16:36:15,675] - INFO: Eval PSNR (current): 38.103 (1580) SSIM (current): 0.9612 (1580) +[2024-05-25 16:36:15,675] - INFO: Evaluation over. +[2024-05-25 16:36:22,320] - INFO: Epoch 1581/9999, Iter 158000: Loss = 0.021101318299770355, lr = [5e-05] +[2024-05-25 16:36:49,608] - INFO: Epoch 1581/9999, Iter 158040: Loss = 0.0111539913341403, lr = [5e-05] +[2024-05-25 16:37:16,830] - INFO: Epoch 1581/9999, Iter 158080: Loss = 0.014077247120440006, lr = [5e-05] +[2024-05-25 16:37:45,360] - INFO: Epoch 1582/9999, Iter 158120: Loss = 0.011482874862849712, lr = [5e-05] +[2024-05-25 16:38:12,567] - INFO: Epoch 1582/9999, Iter 158160: Loss = 0.009530863724648952, lr = [5e-05] +[2024-05-25 16:38:41,098] - INFO: Epoch 1583/9999, Iter 158200: Loss = 0.02480580285191536, lr = [5e-05] +[2024-05-25 16:39:08,368] - INFO: Epoch 1583/9999, Iter 158240: Loss = 0.023653544485569, lr = [5e-05] +[2024-05-25 16:39:35,574] - INFO: Epoch 1583/9999, Iter 158280: Loss = 0.017516663298010826, lr = [5e-05] +[2024-05-25 16:40:04,340] - INFO: Epoch 1584/9999, Iter 158320: Loss = 0.013607780449092388, lr = [5e-05] +[2024-05-25 16:40:31,536] - INFO: Epoch 1584/9999, Iter 158360: Loss = 0.010491565801203251, lr = [5e-05] +[2024-05-25 16:40:59,937] - INFO: Epoch 1585/9999, Iter 158400: Loss = 0.014314452186226845, lr = [5e-05] +[2024-05-25 16:41:27,126] - INFO: Epoch 1585/9999, Iter 158440: Loss = 0.016740117222070694, lr = [5e-05] +[2024-05-25 16:41:54,330] - INFO: Epoch 1585/9999, Iter 158480: Loss = 0.017971953377127647, lr = [5e-05] +[2024-05-25 16:42:07,601] - INFO: Evaluate at epoch 1585! +[2024-05-25 16:42:12,230] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 16:42:12,230] - INFO: Eval PSNR (current): 38.066 (1585) SSIM (current): 0.9612 (1585) +[2024-05-25 16:42:12,230] - INFO: Evaluation over. +[2024-05-25 16:42:32,495] - INFO: Epoch 1586/9999, Iter 158520: Loss = 0.008755595423281193, lr = [5e-05] +[2024-05-25 16:42:59,701] - INFO: Epoch 1586/9999, Iter 158560: Loss = 0.015094798058271408, lr = [5e-05] +[2024-05-25 16:43:28,328] - INFO: Epoch 1587/9999, Iter 158600: Loss = 0.015671130269765854, lr = [5e-05] +[2024-05-25 16:43:55,602] - INFO: Epoch 1587/9999, Iter 158640: Loss = 0.012872647494077682, lr = [5e-05] +[2024-05-25 16:44:22,796] - INFO: Epoch 1587/9999, Iter 158680: Loss = 0.009732461534440517, lr = [5e-05] +[2024-05-25 16:44:51,388] - INFO: Epoch 1588/9999, Iter 158720: Loss = 0.014514640904963017, lr = [5e-05] +[2024-05-25 16:45:18,594] - INFO: Epoch 1588/9999, Iter 158760: Loss = 0.02088692970573902, lr = [5e-05] +[2024-05-25 16:45:47,134] - INFO: Epoch 1589/9999, Iter 158800: Loss = 0.01569424942135811, lr = [5e-05] +[2024-05-25 16:46:14,458] - INFO: Epoch 1589/9999, Iter 158840: Loss = 0.01828148029744625, lr = [5e-05] +[2024-05-25 16:46:41,638] - INFO: Epoch 1589/9999, Iter 158880: Loss = 0.006017821840941906, lr = [5e-05] +[2024-05-25 16:47:10,463] - INFO: Epoch 1590/9999, Iter 158920: Loss = 0.013172750361263752, lr = [5e-05] +[2024-05-25 16:47:37,639] - INFO: Epoch 1590/9999, Iter 158960: Loss = 0.014754284173250198, lr = [5e-05] +[2024-05-25 16:48:04,575] - INFO: Evaluate at epoch 1590! +[2024-05-25 16:48:09,241] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 16:48:09,241] - INFO: Eval PSNR (current): 38.073 (1590) SSIM (current): 0.9611 (1590) +[2024-05-25 16:48:09,241] - INFO: Evaluation over. +[2024-05-25 16:48:15,900] - INFO: Epoch 1591/9999, Iter 159000: Loss = 0.013510475866496563, lr = [5e-05] +[2024-05-25 16:48:43,203] - INFO: Epoch 1591/9999, Iter 159040: Loss = 0.010746101848781109, lr = [5e-05] +[2024-05-25 16:49:10,430] - INFO: Epoch 1591/9999, Iter 159080: Loss = 0.011712909676134586, lr = [5e-05] +[2024-05-25 16:49:38,963] - INFO: Epoch 1592/9999, Iter 159120: Loss = 0.013251404277980328, lr = [5e-05] +[2024-05-25 16:50:06,179] - INFO: Epoch 1592/9999, Iter 159160: Loss = 0.01080302707850933, lr = [5e-05] +[2024-05-25 16:50:34,621] - INFO: Epoch 1593/9999, Iter 159200: Loss = 0.008744783699512482, lr = [5e-05] +[2024-05-25 16:51:01,890] - INFO: Epoch 1593/9999, Iter 159240: Loss = 0.006152710411697626, lr = [5e-05] +[2024-05-25 16:51:29,154] - INFO: Epoch 1593/9999, Iter 159280: Loss = 0.009982303716242313, lr = [5e-05] +[2024-05-25 16:51:57,915] - INFO: Epoch 1594/9999, Iter 159320: Loss = 0.00907259713858366, lr = [5e-05] +[2024-05-25 16:52:25,116] - INFO: Epoch 1594/9999, Iter 159360: Loss = 0.012881017290055752, lr = [5e-05] +[2024-05-25 16:52:53,658] - INFO: Epoch 1595/9999, Iter 159400: Loss = 0.016458436846733093, lr = [5e-05] +[2024-05-25 16:53:20,958] - INFO: Epoch 1595/9999, Iter 159440: Loss = 0.012937754392623901, lr = [5e-05] +[2024-05-25 16:53:48,155] - INFO: Epoch 1595/9999, Iter 159480: Loss = 0.0151680838316679, lr = [5e-05] +[2024-05-25 16:54:01,447] - INFO: Evaluate at epoch 1595! +[2024-05-25 16:54:06,170] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 16:54:06,170] - INFO: Eval PSNR (current): 38.037 (1595) SSIM (current): 0.9610 (1595) +[2024-05-25 16:54:06,170] - INFO: Evaluation over. +[2024-05-25 16:54:26,590] - INFO: Epoch 1596/9999, Iter 159520: Loss = 0.00829368270933628, lr = [5e-05] +[2024-05-25 16:54:53,805] - INFO: Epoch 1596/9999, Iter 159560: Loss = 0.01534381415694952, lr = [5e-05] +[2024-05-25 16:55:22,447] - INFO: Epoch 1597/9999, Iter 159600: Loss = 0.0169373732060194, lr = [5e-05] +[2024-05-25 16:55:49,835] - INFO: Epoch 1597/9999, Iter 159640: Loss = 0.006360297556966543, lr = [5e-05] +[2024-05-25 16:56:17,035] - INFO: Epoch 1597/9999, Iter 159680: Loss = 0.016838526353240013, lr = [5e-05] +[2024-05-25 16:56:45,615] - INFO: Epoch 1598/9999, Iter 159720: Loss = 0.007111969869583845, lr = [5e-05] +[2024-05-25 16:57:12,837] - INFO: Epoch 1598/9999, Iter 159760: Loss = 0.011943967081606388, lr = [5e-05] +[2024-05-25 16:57:41,331] - INFO: Epoch 1599/9999, Iter 159800: Loss = 0.030001875013113022, lr = [5e-05] +[2024-05-25 16:58:08,699] - INFO: Epoch 1599/9999, Iter 159840: Loss = 0.016570407897233963, lr = [5e-05] +[2024-05-25 16:58:35,903] - INFO: Epoch 1599/9999, Iter 159880: Loss = 0.013401597738265991, lr = [5e-05] +[2024-05-25 16:59:04,506] - INFO: Epoch 1600/9999, Iter 159920: Loss = 0.017556821927428246, lr = [5e-05] +[2024-05-25 16:59:31,683] - INFO: Epoch 1600/9999, Iter 159960: Loss = 0.011958502233028412, lr = [5e-05] +[2024-05-25 16:59:58,544] - INFO: Evaluate at epoch 1600! +[2024-05-25 17:00:03,197] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 17:00:03,198] - INFO: Eval PSNR (current): 38.049 (1600) SSIM (current): 0.9611 (1600) +[2024-05-25 17:00:03,198] - INFO: Evaluation over. +[2024-05-25 17:00:09,808] - INFO: Epoch 1601/9999, Iter 160000: Loss = 0.013461670838296413, lr = [5e-05] +[2024-05-25 17:00:37,087] - INFO: Epoch 1601/9999, Iter 160040: Loss = 0.011130486615002155, lr = [5e-05] +[2024-05-25 17:01:04,332] - INFO: Epoch 1601/9999, Iter 160080: Loss = 0.018373100087046623, lr = [5e-05] +[2024-05-25 17:01:33,061] - INFO: Epoch 1602/9999, Iter 160120: Loss = 0.004917263984680176, lr = [5e-05] +[2024-05-25 17:02:00,265] - INFO: Epoch 1602/9999, Iter 160160: Loss = 0.01124840509146452, lr = [5e-05] +[2024-05-25 17:02:28,771] - INFO: Epoch 1603/9999, Iter 160200: Loss = 0.015528522431850433, lr = [5e-05] +[2024-05-25 17:02:56,095] - INFO: Epoch 1603/9999, Iter 160240: Loss = 0.004285150673240423, lr = [5e-05] +[2024-05-25 17:03:23,290] - INFO: Epoch 1603/9999, Iter 160280: Loss = 0.00558044295758009, lr = [5e-05] +[2024-05-25 17:03:52,072] - INFO: Epoch 1604/9999, Iter 160320: Loss = 0.01454542949795723, lr = [5e-05] +[2024-05-25 17:04:19,290] - INFO: Epoch 1604/9999, Iter 160360: Loss = 0.019545165821909904, lr = [5e-05] +[2024-05-25 17:04:47,605] - INFO: Epoch 1605/9999, Iter 160400: Loss = 0.013250523246824741, lr = [5e-05] +[2024-05-25 17:05:14,955] - INFO: Epoch 1605/9999, Iter 160440: Loss = 0.00567724509164691, lr = [5e-05] +[2024-05-25 17:05:42,253] - INFO: Epoch 1605/9999, Iter 160480: Loss = 0.013376076705753803, lr = [5e-05] +[2024-05-25 17:05:55,591] - INFO: Evaluate at epoch 1605! +[2024-05-25 17:06:00,230] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 17:06:00,230] - INFO: Eval PSNR (current): 38.060 (1605) SSIM (current): 0.9611 (1605) +[2024-05-25 17:06:00,230] - INFO: Evaluation over. +[2024-05-25 17:06:20,575] - INFO: Epoch 1606/9999, Iter 160520: Loss = 0.012702906504273415, lr = [5e-05] +[2024-05-25 17:06:47,788] - INFO: Epoch 1606/9999, Iter 160560: Loss = 0.010260820388793945, lr = [5e-05] +[2024-05-25 17:07:16,513] - INFO: Epoch 1607/9999, Iter 160600: Loss = 0.01892366074025631, lr = [5e-05] +[2024-05-25 17:07:43,807] - INFO: Epoch 1607/9999, Iter 160640: Loss = 0.020402399823069572, lr = [5e-05] +[2024-05-25 17:08:11,039] - INFO: Epoch 1607/9999, Iter 160680: Loss = 0.014145566150546074, lr = [5e-05] +[2024-05-25 17:08:39,673] - INFO: Epoch 1608/9999, Iter 160720: Loss = 0.012173044495284557, lr = [5e-05] +[2024-05-25 17:09:06,868] - INFO: Epoch 1608/9999, Iter 160760: Loss = 0.013513823039829731, lr = [5e-05] +[2024-05-25 17:09:35,406] - INFO: Epoch 1609/9999, Iter 160800: Loss = 0.00861144158989191, lr = [5e-05] +[2024-05-25 17:10:02,734] - INFO: Epoch 1609/9999, Iter 160840: Loss = 0.012807468883693218, lr = [5e-05] +[2024-05-25 17:10:29,940] - INFO: Epoch 1609/9999, Iter 160880: Loss = 0.011833892203867435, lr = [5e-05] +[2024-05-25 17:10:58,608] - INFO: Epoch 1610/9999, Iter 160920: Loss = 0.014710276387631893, lr = [5e-05] +[2024-05-25 17:11:25,777] - INFO: Epoch 1610/9999, Iter 160960: Loss = 0.013996635563671589, lr = [5e-05] +[2024-05-25 17:11:52,676] - INFO: Evaluate at epoch 1610! +[2024-05-25 17:11:57,335] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 17:11:57,335] - INFO: Eval PSNR (current): 38.093 (1610) SSIM (current): 0.9611 (1610) +[2024-05-25 17:11:57,335] - INFO: Evaluation over. +[2024-05-25 17:12:03,874] - INFO: Epoch 1611/9999, Iter 161000: Loss = 0.010590762831270695, lr = [5e-05] +[2024-05-25 17:12:31,118] - INFO: Epoch 1611/9999, Iter 161040: Loss = 0.00905891414731741, lr = [5e-05] +[2024-05-25 17:12:58,409] - INFO: Epoch 1611/9999, Iter 161080: Loss = 0.01766170933842659, lr = [5e-05] +[2024-05-25 17:13:26,991] - INFO: Epoch 1612/9999, Iter 161120: Loss = 0.012969047762453556, lr = [5e-05] +[2024-05-25 17:13:54,196] - INFO: Epoch 1612/9999, Iter 161160: Loss = 0.014708125963807106, lr = [5e-05] +[2024-05-25 17:14:22,790] - INFO: Epoch 1613/9999, Iter 161200: Loss = 0.021441616117954254, lr = [5e-05] +[2024-05-25 17:14:50,062] - INFO: Epoch 1613/9999, Iter 161240: Loss = 0.011420988477766514, lr = [5e-05] +[2024-05-25 17:15:17,303] - INFO: Epoch 1613/9999, Iter 161280: Loss = 0.019537124782800674, lr = [5e-05] +[2024-05-25 17:15:46,043] - INFO: Epoch 1614/9999, Iter 161320: Loss = 0.013727079145610332, lr = [5e-05] +[2024-05-25 17:16:13,331] - INFO: Epoch 1614/9999, Iter 161360: Loss = 0.012005092576146126, lr = [5e-05] +[2024-05-25 17:16:41,846] - INFO: Epoch 1615/9999, Iter 161400: Loss = 0.00925159640610218, lr = [5e-05] +[2024-05-25 17:17:09,259] - INFO: Epoch 1615/9999, Iter 161440: Loss = 0.010726414620876312, lr = [5e-05] +[2024-05-25 17:17:36,435] - INFO: Epoch 1615/9999, Iter 161480: Loss = 0.012598778121173382, lr = [5e-05] +[2024-05-25 17:17:49,714] - INFO: Evaluate at epoch 1615! +[2024-05-25 17:17:54,314] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 17:17:54,314] - INFO: Eval PSNR (current): 38.099 (1615) SSIM (current): 0.9612 (1615) +[2024-05-25 17:17:54,314] - INFO: Evaluation over. +[2024-05-25 17:18:14,701] - INFO: Epoch 1616/9999, Iter 161520: Loss = 0.012814573012292385, lr = [5e-05] +[2024-05-25 17:18:41,960] - INFO: Epoch 1616/9999, Iter 161560: Loss = 0.018872592598199844, lr = [5e-05] +[2024-05-25 17:19:10,416] - INFO: Epoch 1617/9999, Iter 161600: Loss = 0.009924918413162231, lr = [5e-05] +[2024-05-25 17:19:37,675] - INFO: Epoch 1617/9999, Iter 161640: Loss = 0.015968509018421173, lr = [5e-05] +[2024-05-25 17:20:04,889] - INFO: Epoch 1617/9999, Iter 161680: Loss = 0.009206262417137623, lr = [5e-05] +[2024-05-25 17:20:33,582] - INFO: Epoch 1618/9999, Iter 161720: Loss = 0.009876901283860207, lr = [5e-05] +[2024-05-25 17:21:00,761] - INFO: Epoch 1618/9999, Iter 161760: Loss = 0.008555016480386257, lr = [5e-05] +[2024-05-25 17:21:29,424] - INFO: Epoch 1619/9999, Iter 161800: Loss = 0.016396524384617805, lr = [5e-05] +[2024-05-25 17:21:56,655] - INFO: Epoch 1619/9999, Iter 161840: Loss = 0.015540306456387043, lr = [5e-05] +[2024-05-25 17:22:23,829] - INFO: Epoch 1619/9999, Iter 161880: Loss = 0.008040554821491241, lr = [5e-05] +[2024-05-25 17:22:52,671] - INFO: Epoch 1620/9999, Iter 161920: Loss = 0.017393089830875397, lr = [5e-05] +[2024-05-25 17:23:19,901] - INFO: Epoch 1620/9999, Iter 161960: Loss = 0.018156562000513077, lr = [5e-05] +[2024-05-25 17:23:46,934] - INFO: Evaluate at epoch 1620! +[2024-05-25 17:24:01,885] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:24:01,886] - INFO: Eval PSNR (current): 38.127 (1620) SSIM (current): 0.9613 (1620) +[2024-05-25 17:24:01,886] - INFO: Evaluation over. +[2024-05-25 17:24:08,580] - INFO: Epoch 1621/9999, Iter 162000: Loss = 0.011552990414202213, lr = [5e-05] +[2024-05-25 17:24:35,880] - INFO: Epoch 1621/9999, Iter 162040: Loss = 0.021520640701055527, lr = [5e-05] +[2024-05-25 17:25:03,100] - INFO: Epoch 1621/9999, Iter 162080: Loss = 0.01051188725978136, lr = [5e-05] +[2024-05-25 17:25:31,598] - INFO: Epoch 1622/9999, Iter 162120: Loss = 0.012926441617310047, lr = [5e-05] +[2024-05-25 17:25:58,851] - INFO: Epoch 1622/9999, Iter 162160: Loss = 0.013431642204523087, lr = [5e-05] +[2024-05-25 17:26:27,249] - INFO: Epoch 1623/9999, Iter 162200: Loss = 0.016916556283831596, lr = [5e-05] +[2024-05-25 17:26:54,522] - INFO: Epoch 1623/9999, Iter 162240: Loss = 0.015956994146108627, lr = [5e-05] +[2024-05-25 17:27:21,777] - INFO: Epoch 1623/9999, Iter 162280: Loss = 0.01527850329875946, lr = [5e-05] +[2024-05-25 17:27:50,424] - INFO: Epoch 1624/9999, Iter 162320: Loss = 0.01714625395834446, lr = [5e-05] +[2024-05-25 17:28:17,663] - INFO: Epoch 1624/9999, Iter 162360: Loss = 0.01065546739846468, lr = [5e-05] +[2024-05-25 17:28:46,363] - INFO: Epoch 1625/9999, Iter 162400: Loss = 0.022998321801424026, lr = [5e-05] +[2024-05-25 17:29:13,652] - INFO: Epoch 1625/9999, Iter 162440: Loss = 0.005762279964983463, lr = [5e-05] +[2024-05-25 17:29:40,847] - INFO: Epoch 1625/9999, Iter 162480: Loss = 0.017361808568239212, lr = [5e-05] +[2024-05-25 17:29:54,171] - INFO: Evaluate at epoch 1625! +[2024-05-25 17:29:58,700] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:29:58,701] - INFO: Eval PSNR (current): 38.110 (1625) SSIM (current): 0.9612 (1625) +[2024-05-25 17:29:58,701] - INFO: Evaluation over. +[2024-05-25 17:30:18,918] - INFO: Epoch 1626/9999, Iter 162520: Loss = 0.010177338495850563, lr = [5e-05] +[2024-05-25 17:30:46,135] - INFO: Epoch 1626/9999, Iter 162560: Loss = 0.010509486310184002, lr = [5e-05] +[2024-05-25 17:31:14,574] - INFO: Epoch 1627/9999, Iter 162600: Loss = 0.017105119302868843, lr = [5e-05] +[2024-05-25 17:31:41,820] - INFO: Epoch 1627/9999, Iter 162640: Loss = 0.01224400196224451, lr = [5e-05] +[2024-05-25 17:32:09,085] - INFO: Epoch 1627/9999, Iter 162680: Loss = 0.011592553928494453, lr = [5e-05] +[2024-05-25 17:32:37,639] - INFO: Epoch 1628/9999, Iter 162720: Loss = 0.008513820357620716, lr = [5e-05] +[2024-05-25 17:33:04,810] - INFO: Epoch 1628/9999, Iter 162760: Loss = 0.017000805586576462, lr = [5e-05] +[2024-05-25 17:33:33,446] - INFO: Epoch 1629/9999, Iter 162800: Loss = 0.014536124654114246, lr = [5e-05] +[2024-05-25 17:34:00,776] - INFO: Epoch 1629/9999, Iter 162840: Loss = 0.011355548165738583, lr = [5e-05] +[2024-05-25 17:34:27,984] - INFO: Epoch 1629/9999, Iter 162880: Loss = 0.012751186266541481, lr = [5e-05] +[2024-05-25 17:34:56,761] - INFO: Epoch 1630/9999, Iter 162920: Loss = 0.012467624619603157, lr = [5e-05] +[2024-05-25 17:35:23,982] - INFO: Epoch 1630/9999, Iter 162960: Loss = 0.012915920466184616, lr = [5e-05] +[2024-05-25 17:35:50,876] - INFO: Evaluate at epoch 1630! +[2024-05-25 17:35:55,574] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:35:55,574] - INFO: Eval PSNR (current): 38.068 (1630) SSIM (current): 0.9611 (1630) +[2024-05-25 17:35:55,574] - INFO: Evaluation over. +[2024-05-25 17:36:02,268] - INFO: Epoch 1631/9999, Iter 163000: Loss = 0.010799375362694263, lr = [5e-05] +[2024-05-25 17:36:29,577] - INFO: Epoch 1631/9999, Iter 163040: Loss = 0.01270305272191763, lr = [5e-05] +[2024-05-25 17:36:56,804] - INFO: Epoch 1631/9999, Iter 163080: Loss = 0.01868555322289467, lr = [5e-05] +[2024-05-25 17:37:25,633] - INFO: Epoch 1632/9999, Iter 163120: Loss = 0.014159368351101875, lr = [5e-05] +[2024-05-25 17:37:52,819] - INFO: Epoch 1632/9999, Iter 163160: Loss = 0.01656278781592846, lr = [5e-05] +[2024-05-25 17:38:21,340] - INFO: Epoch 1633/9999, Iter 163200: Loss = 0.008874695748090744, lr = [5e-05] +[2024-05-25 17:38:48,585] - INFO: Epoch 1633/9999, Iter 163240: Loss = 0.012846607714891434, lr = [5e-05] +[2024-05-25 17:39:15,787] - INFO: Epoch 1633/9999, Iter 163280: Loss = 0.01171103585511446, lr = [5e-05] +[2024-05-25 17:39:44,583] - INFO: Epoch 1634/9999, Iter 163320: Loss = 0.01921323873102665, lr = [5e-05] +[2024-05-25 17:40:11,810] - INFO: Epoch 1634/9999, Iter 163360: Loss = 0.016803499311208725, lr = [5e-05] +[2024-05-25 17:40:40,332] - INFO: Epoch 1635/9999, Iter 163400: Loss = 0.009092808701097965, lr = [5e-05] +[2024-05-25 17:41:07,577] - INFO: Epoch 1635/9999, Iter 163440: Loss = 0.020051857456564903, lr = [5e-05] +[2024-05-25 17:41:34,829] - INFO: Epoch 1635/9999, Iter 163480: Loss = 0.020909806713461876, lr = [5e-05] +[2024-05-25 17:41:48,135] - INFO: Evaluate at epoch 1635! +[2024-05-25 17:41:52,788] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:41:52,788] - INFO: Eval PSNR (current): 38.105 (1635) SSIM (current): 0.9612 (1635) +[2024-05-25 17:41:52,788] - INFO: Evaluation over. +[2024-05-25 17:42:13,278] - INFO: Epoch 1636/9999, Iter 163520: Loss = 0.007088628131896257, lr = [5e-05] +[2024-05-25 17:42:40,499] - INFO: Epoch 1636/9999, Iter 163560: Loss = 0.013040673919022083, lr = [5e-05] +[2024-05-25 17:43:09,200] - INFO: Epoch 1637/9999, Iter 163600: Loss = 0.022112885490059853, lr = [5e-05] +[2024-05-25 17:43:36,464] - INFO: Epoch 1637/9999, Iter 163640: Loss = 0.011050946079194546, lr = [5e-05] +[2024-05-25 17:44:03,692] - INFO: Epoch 1637/9999, Iter 163680: Loss = 0.012742018327116966, lr = [5e-05] +[2024-05-25 17:44:32,219] - INFO: Epoch 1638/9999, Iter 163720: Loss = 0.013988700695335865, lr = [5e-05] +[2024-05-25 17:44:59,455] - INFO: Epoch 1638/9999, Iter 163760: Loss = 0.010415120981633663, lr = [5e-05] +[2024-05-25 17:45:27,967] - INFO: Epoch 1639/9999, Iter 163800: Loss = 0.012642942368984222, lr = [5e-05] +[2024-05-25 17:45:55,297] - INFO: Epoch 1639/9999, Iter 163840: Loss = 0.011624234728515148, lr = [5e-05] +[2024-05-25 17:46:22,499] - INFO: Epoch 1639/9999, Iter 163880: Loss = 0.025019561871886253, lr = [5e-05] +[2024-05-25 17:46:51,157] - INFO: Epoch 1640/9999, Iter 163920: Loss = 0.013184452429413795, lr = [5e-05] +[2024-05-25 17:47:18,376] - INFO: Epoch 1640/9999, Iter 163960: Loss = 0.005609289277344942, lr = [5e-05] +[2024-05-25 17:47:45,267] - INFO: Evaluate at epoch 1640! +[2024-05-25 17:47:49,997] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:47:49,997] - INFO: Eval PSNR (current): 37.960 (1640) SSIM (current): 0.9610 (1640) +[2024-05-25 17:47:49,997] - INFO: Evaluation over. +[2024-05-25 17:47:56,716] - INFO: Epoch 1641/9999, Iter 164000: Loss = 0.014203722588717937, lr = [5e-05] +[2024-05-25 17:48:23,975] - INFO: Epoch 1641/9999, Iter 164040: Loss = 0.00897308997809887, lr = [5e-05] +[2024-05-25 17:48:51,234] - INFO: Epoch 1641/9999, Iter 164080: Loss = 0.009948001243174076, lr = [5e-05] +[2024-05-25 17:49:19,698] - INFO: Epoch 1642/9999, Iter 164120: Loss = 0.014545604586601257, lr = [5e-05] +[2024-05-25 17:49:46,876] - INFO: Epoch 1642/9999, Iter 164160: Loss = 0.00949812401086092, lr = [5e-05] +[2024-05-25 17:50:15,430] - INFO: Epoch 1643/9999, Iter 164200: Loss = 0.017083652317523956, lr = [5e-05] +[2024-05-25 17:50:42,753] - INFO: Epoch 1643/9999, Iter 164240: Loss = 0.013341558165848255, lr = [5e-05] +[2024-05-25 17:51:09,928] - INFO: Epoch 1643/9999, Iter 164280: Loss = 0.011375544592738152, lr = [5e-05] +[2024-05-25 17:51:38,683] - INFO: Epoch 1644/9999, Iter 164320: Loss = 0.009240668267011642, lr = [5e-05] +[2024-05-25 17:52:05,938] - INFO: Epoch 1644/9999, Iter 164360: Loss = 0.015915539115667343, lr = [5e-05] +[2024-05-25 17:52:34,623] - INFO: Epoch 1645/9999, Iter 164400: Loss = 0.017924603074789047, lr = [5e-05] +[2024-05-25 17:53:02,102] - INFO: Epoch 1645/9999, Iter 164440: Loss = 0.008647684939205647, lr = [5e-05] +[2024-05-25 17:53:29,282] - INFO: Epoch 1645/9999, Iter 164480: Loss = 0.010259103029966354, lr = [5e-05] +[2024-05-25 17:53:42,599] - INFO: Evaluate at epoch 1645! +[2024-05-25 17:53:47,324] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:53:47,324] - INFO: Eval PSNR (current): 38.074 (1645) SSIM (current): 0.9612 (1645) +[2024-05-25 17:53:47,324] - INFO: Evaluation over. +[2024-05-25 17:54:07,985] - INFO: Epoch 1646/9999, Iter 164520: Loss = 0.011002774350345135, lr = [5e-05] +[2024-05-25 17:54:35,268] - INFO: Epoch 1646/9999, Iter 164560: Loss = 0.011521147564053535, lr = [5e-05] +[2024-05-25 17:55:03,928] - INFO: Epoch 1647/9999, Iter 164600: Loss = 0.022972991690039635, lr = [5e-05] +[2024-05-25 17:55:31,178] - INFO: Epoch 1647/9999, Iter 164640: Loss = 0.02183966152369976, lr = [5e-05] +[2024-05-25 17:55:58,322] - INFO: Epoch 1647/9999, Iter 164680: Loss = 0.012702559120953083, lr = [5e-05] +[2024-05-25 17:56:26,873] - INFO: Epoch 1648/9999, Iter 164720: Loss = 0.010781185701489449, lr = [5e-05] +[2024-05-25 17:56:54,085] - INFO: Epoch 1648/9999, Iter 164760: Loss = 0.013438288122415543, lr = [5e-05] +[2024-05-25 17:57:22,581] - INFO: Epoch 1649/9999, Iter 164800: Loss = 0.015830958262085915, lr = [5e-05] +[2024-05-25 17:57:49,869] - INFO: Epoch 1649/9999, Iter 164840: Loss = 0.010226518847048283, lr = [5e-05] +[2024-05-25 17:58:17,058] - INFO: Epoch 1649/9999, Iter 164880: Loss = 0.010703466832637787, lr = [5e-05] +[2024-05-25 17:58:45,602] - INFO: Epoch 1650/9999, Iter 164920: Loss = 0.012059610337018967, lr = [5e-05] +[2024-05-25 17:59:12,895] - INFO: Epoch 1650/9999, Iter 164960: Loss = 0.011471472680568695, lr = [5e-05] +[2024-05-25 17:59:39,780] - INFO: Evaluate at epoch 1650! +[2024-05-25 17:59:44,515] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:59:44,516] - INFO: Eval PSNR (current): 38.031 (1650) SSIM (current): 0.9609 (1650) +[2024-05-25 17:59:44,516] - INFO: Evaluation over. +[2024-05-25 17:59:51,303] - INFO: Epoch 1651/9999, Iter 165000: Loss = 0.019215134903788567, lr = [5e-05] +[2024-05-25 18:00:18,559] - INFO: Epoch 1651/9999, Iter 165040: Loss = 0.014057640917599201, lr = [5e-05] +[2024-05-25 18:00:45,757] - INFO: Epoch 1651/9999, Iter 165080: Loss = 0.01631779596209526, lr = [5e-05] +[2024-05-25 18:01:14,403] - INFO: Epoch 1652/9999, Iter 165120: Loss = 0.014426995068788528, lr = [5e-05] +[2024-05-25 18:01:41,604] - INFO: Epoch 1652/9999, Iter 165160: Loss = 0.009999612346291542, lr = [5e-05] +[2024-05-25 18:02:10,232] - INFO: Epoch 1653/9999, Iter 165200: Loss = 0.010661410167813301, lr = [5e-05] +[2024-05-25 18:02:37,518] - INFO: Epoch 1653/9999, Iter 165240: Loss = 0.015332394279539585, lr = [5e-05] +[2024-05-25 18:03:04,767] - INFO: Epoch 1653/9999, Iter 165280: Loss = 0.010321149602532387, lr = [5e-05] +[2024-05-25 18:03:33,310] - INFO: Epoch 1654/9999, Iter 165320: Loss = 0.01412701141089201, lr = [5e-05] +[2024-05-25 18:04:00,523] - INFO: Epoch 1654/9999, Iter 165360: Loss = 0.011695283465087414, lr = [5e-05] +[2024-05-25 18:04:29,104] - INFO: Epoch 1655/9999, Iter 165400: Loss = 0.007209004834294319, lr = [5e-05] +[2024-05-25 18:04:56,391] - INFO: Epoch 1655/9999, Iter 165440: Loss = 0.008824239484965801, lr = [5e-05] +[2024-05-25 18:05:23,638] - INFO: Epoch 1655/9999, Iter 165480: Loss = 0.013281498104333878, lr = [5e-05] +[2024-05-25 18:05:36,917] - INFO: Evaluate at epoch 1655! +[2024-05-25 18:05:41,622] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:05:41,622] - INFO: Eval PSNR (current): 38.111 (1655) SSIM (current): 0.9612 (1655) +[2024-05-25 18:05:41,622] - INFO: Evaluation over. +[2024-05-25 18:06:02,196] - INFO: Epoch 1656/9999, Iter 165520: Loss = 0.01691291108727455, lr = [5e-05] +[2024-05-25 18:06:29,438] - INFO: Epoch 1656/9999, Iter 165560: Loss = 0.019037768244743347, lr = [5e-05] +[2024-05-25 18:06:57,937] - INFO: Epoch 1657/9999, Iter 165600: Loss = 0.010417593643069267, lr = [5e-05] +[2024-05-25 18:07:25,261] - INFO: Epoch 1657/9999, Iter 165640: Loss = 0.010361448861658573, lr = [5e-05] +[2024-05-25 18:07:52,537] - INFO: Epoch 1657/9999, Iter 165680: Loss = 0.008044169284403324, lr = [5e-05] +[2024-05-25 18:08:21,203] - INFO: Epoch 1658/9999, Iter 165720: Loss = 0.009444168768823147, lr = [5e-05] +[2024-05-25 18:08:48,502] - INFO: Epoch 1658/9999, Iter 165760: Loss = 0.010656246915459633, lr = [5e-05] +[2024-05-25 18:09:16,843] - INFO: Epoch 1659/9999, Iter 165800: Loss = 0.011548329144716263, lr = [5e-05] +[2024-05-25 18:09:44,148] - INFO: Epoch 1659/9999, Iter 165840: Loss = 0.010292069986462593, lr = [5e-05] +[2024-05-25 18:10:11,411] - INFO: Epoch 1659/9999, Iter 165880: Loss = 0.020348191261291504, lr = [5e-05] +[2024-05-25 18:10:40,124] - INFO: Epoch 1660/9999, Iter 165920: Loss = 0.006968950852751732, lr = [5e-05] +[2024-05-25 18:11:07,342] - INFO: Epoch 1660/9999, Iter 165960: Loss = 0.010437210090458393, lr = [5e-05] +[2024-05-25 18:11:34,274] - INFO: Evaluate at epoch 1660! +[2024-05-25 18:11:38,799] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:11:38,800] - INFO: Eval PSNR (current): 38.046 (1660) SSIM (current): 0.9610 (1660) +[2024-05-25 18:11:38,800] - INFO: Evaluation over. +[2024-05-25 18:11:45,533] - INFO: Epoch 1661/9999, Iter 166000: Loss = 0.02695562317967415, lr = [5e-05] +[2024-05-25 18:12:12,821] - INFO: Epoch 1661/9999, Iter 166040: Loss = 0.01464062836021185, lr = [5e-05] +[2024-05-25 18:12:40,055] - INFO: Epoch 1661/9999, Iter 166080: Loss = 0.005962925497442484, lr = [5e-05] +[2024-05-25 18:13:08,615] - INFO: Epoch 1662/9999, Iter 166120: Loss = 0.009038536809384823, lr = [5e-05] +[2024-05-25 18:13:35,820] - INFO: Epoch 1662/9999, Iter 166160: Loss = 0.008284900337457657, lr = [5e-05] +[2024-05-25 18:14:04,189] - INFO: Epoch 1663/9999, Iter 166200: Loss = 0.011980637907981873, lr = [5e-05] +[2024-05-25 18:14:31,472] - INFO: Epoch 1663/9999, Iter 166240: Loss = 0.00868242233991623, lr = [5e-05] +[2024-05-25 18:14:58,664] - INFO: Epoch 1663/9999, Iter 166280: Loss = 0.011268319562077522, lr = [5e-05] +[2024-05-25 18:15:27,195] - INFO: Epoch 1664/9999, Iter 166320: Loss = 0.00973180029541254, lr = [5e-05] +[2024-05-25 18:15:54,386] - INFO: Epoch 1664/9999, Iter 166360: Loss = 0.009947020560503006, lr = [5e-05] +[2024-05-25 18:16:22,856] - INFO: Epoch 1665/9999, Iter 166400: Loss = 0.011449619196355343, lr = [5e-05] +[2024-05-25 18:16:50,092] - INFO: Epoch 1665/9999, Iter 166440: Loss = 0.012170226313173771, lr = [5e-05] +[2024-05-25 18:17:17,338] - INFO: Epoch 1665/9999, Iter 166480: Loss = 0.016587739810347557, lr = [5e-05] +[2024-05-25 18:17:30,636] - INFO: Evaluate at epoch 1665! +[2024-05-25 18:17:35,264] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:17:35,264] - INFO: Eval PSNR (current): 38.023 (1665) SSIM (current): 0.9608 (1665) +[2024-05-25 18:17:35,264] - INFO: Evaluation over. +[2024-05-25 18:17:55,631] - INFO: Epoch 1666/9999, Iter 166520: Loss = 0.01953754760324955, lr = [5e-05] +[2024-05-25 18:18:22,847] - INFO: Epoch 1666/9999, Iter 166560: Loss = 0.02182694710791111, lr = [5e-05] +[2024-05-25 18:18:51,675] - INFO: Epoch 1667/9999, Iter 166600: Loss = 0.016362264752388, lr = [5e-05] +[2024-05-25 18:19:18,950] - INFO: Epoch 1667/9999, Iter 166640: Loss = 0.01622256264090538, lr = [5e-05] +[2024-05-25 18:19:46,138] - INFO: Epoch 1667/9999, Iter 166680: Loss = 0.014518987387418747, lr = [5e-05] +[2024-05-25 18:20:14,766] - INFO: Epoch 1668/9999, Iter 166720: Loss = 0.01733158901333809, lr = [5e-05] +[2024-05-25 18:20:41,970] - INFO: Epoch 1668/9999, Iter 166760: Loss = 0.017604151740670204, lr = [5e-05] +[2024-05-25 18:21:10,416] - INFO: Epoch 1669/9999, Iter 166800: Loss = 0.006516020745038986, lr = [5e-05] +[2024-05-25 18:21:37,683] - INFO: Epoch 1669/9999, Iter 166840: Loss = 0.012058459222316742, lr = [5e-05] +[2024-05-25 18:22:04,933] - INFO: Epoch 1669/9999, Iter 166880: Loss = 0.010763658210635185, lr = [5e-05] +[2024-05-25 18:22:33,361] - INFO: Epoch 1670/9999, Iter 166920: Loss = 0.009236452169716358, lr = [5e-05] +[2024-05-25 18:23:00,643] - INFO: Epoch 1670/9999, Iter 166960: Loss = 0.01655755192041397, lr = [5e-05] +[2024-05-25 18:23:27,532] - INFO: Evaluate at epoch 1670! +[2024-05-25 18:23:32,214] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:23:32,214] - INFO: Eval PSNR (current): 38.005 (1670) SSIM (current): 0.9609 (1670) +[2024-05-25 18:23:32,214] - INFO: Evaluation over. +[2024-05-25 18:23:39,045] - INFO: Epoch 1671/9999, Iter 167000: Loss = 0.012542572803795338, lr = [5e-05] +[2024-05-25 18:24:06,352] - INFO: Epoch 1671/9999, Iter 167040: Loss = 0.008359776809811592, lr = [5e-05] +[2024-05-25 18:24:33,595] - INFO: Epoch 1671/9999, Iter 167080: Loss = 0.01895936392247677, lr = [5e-05] +[2024-05-25 18:25:02,387] - INFO: Epoch 1672/9999, Iter 167120: Loss = 0.01189976092427969, lr = [5e-05] +[2024-05-25 18:25:29,623] - INFO: Epoch 1672/9999, Iter 167160: Loss = 0.011462781578302383, lr = [5e-05] +[2024-05-25 18:25:58,143] - INFO: Epoch 1673/9999, Iter 167200: Loss = 0.008469643071293831, lr = [5e-05] +[2024-05-25 18:26:25,419] - INFO: Epoch 1673/9999, Iter 167240: Loss = 0.013069912791252136, lr = [5e-05] +[2024-05-25 18:26:52,688] - INFO: Epoch 1673/9999, Iter 167280: Loss = 0.011348863132297993, lr = [5e-05] +[2024-05-25 18:27:21,365] - INFO: Epoch 1674/9999, Iter 167320: Loss = 0.011074199341237545, lr = [5e-05] +[2024-05-25 18:27:48,617] - INFO: Epoch 1674/9999, Iter 167360: Loss = 0.008088087663054466, lr = [5e-05] +[2024-05-25 18:28:17,132] - INFO: Epoch 1675/9999, Iter 167400: Loss = 0.015808647498488426, lr = [5e-05] +[2024-05-25 18:28:44,454] - INFO: Epoch 1675/9999, Iter 167440: Loss = 0.017654357478022575, lr = [5e-05] +[2024-05-25 18:29:11,738] - INFO: Epoch 1675/9999, Iter 167480: Loss = 0.005447966046631336, lr = [5e-05] +[2024-05-25 18:29:25,053] - INFO: Evaluate at epoch 1675! +[2024-05-25 18:29:29,602] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:29:29,602] - INFO: Eval PSNR (current): 38.108 (1675) SSIM (current): 0.9613 (1675) +[2024-05-25 18:29:29,602] - INFO: Evaluation over. +[2024-05-25 18:29:50,163] - INFO: Epoch 1676/9999, Iter 167520: Loss = 0.02148193120956421, lr = [5e-05] +[2024-05-25 18:30:17,423] - INFO: Epoch 1676/9999, Iter 167560: Loss = 0.014495749957859516, lr = [5e-05] +[2024-05-25 18:30:45,992] - INFO: Epoch 1677/9999, Iter 167600: Loss = 0.011543404310941696, lr = [5e-05] +[2024-05-25 18:31:13,265] - INFO: Epoch 1677/9999, Iter 167640: Loss = 0.014773924835026264, lr = [5e-05] +[2024-05-25 18:31:40,441] - INFO: Epoch 1677/9999, Iter 167680: Loss = 0.012487152591347694, lr = [5e-05] +[2024-05-25 18:32:09,291] - INFO: Epoch 1678/9999, Iter 167720: Loss = 0.007324725389480591, lr = [5e-05] +[2024-05-25 18:32:36,510] - INFO: Epoch 1678/9999, Iter 167760: Loss = 0.006195655092597008, lr = [5e-05] +[2024-05-25 18:33:05,092] - INFO: Epoch 1679/9999, Iter 167800: Loss = 0.009815423749387264, lr = [5e-05] +[2024-05-25 18:33:32,390] - INFO: Epoch 1679/9999, Iter 167840: Loss = 0.008794521912932396, lr = [5e-05] +[2024-05-25 18:33:59,682] - INFO: Epoch 1679/9999, Iter 167880: Loss = 0.0070866006426513195, lr = [5e-05] +[2024-05-25 18:34:28,361] - INFO: Epoch 1680/9999, Iter 167920: Loss = 0.017948104068636894, lr = [5e-05] +[2024-05-25 18:34:55,508] - INFO: Epoch 1680/9999, Iter 167960: Loss = 0.012712917290627956, lr = [5e-05] +[2024-05-25 18:35:22,407] - INFO: Evaluate at epoch 1680! +[2024-05-25 18:35:27,083] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:35:27,083] - INFO: Eval PSNR (current): 38.078 (1680) SSIM (current): 0.9611 (1680) +[2024-05-25 18:35:27,083] - INFO: Evaluation over. +[2024-05-25 18:35:34,048] - INFO: Epoch 1681/9999, Iter 168000: Loss = 0.00990603119134903, lr = [5e-05] +[2024-05-25 18:36:01,389] - INFO: Epoch 1681/9999, Iter 168040: Loss = 0.009491825476288795, lr = [5e-05] +[2024-05-25 18:36:28,662] - INFO: Epoch 1681/9999, Iter 168080: Loss = 0.015658428892493248, lr = [5e-05] +[2024-05-25 18:36:57,285] - INFO: Epoch 1682/9999, Iter 168120: Loss = 0.010423597879707813, lr = [5e-05] +[2024-05-25 18:37:24,440] - INFO: Epoch 1682/9999, Iter 168160: Loss = 0.014284939505159855, lr = [5e-05] +[2024-05-25 18:37:53,206] - INFO: Epoch 1683/9999, Iter 168200: Loss = 0.01620078831911087, lr = [5e-05] +[2024-05-25 18:38:20,483] - INFO: Epoch 1683/9999, Iter 168240: Loss = 0.014642505906522274, lr = [5e-05] +[2024-05-25 18:38:47,608] - INFO: Epoch 1683/9999, Iter 168280: Loss = 0.013469889760017395, lr = [5e-05] +[2024-05-25 18:39:16,122] - INFO: Epoch 1684/9999, Iter 168320: Loss = 0.017108488827943802, lr = [5e-05] +[2024-05-25 18:39:43,327] - INFO: Epoch 1684/9999, Iter 168360: Loss = 0.008938721381127834, lr = [5e-05] +[2024-05-25 18:40:11,935] - INFO: Epoch 1685/9999, Iter 168400: Loss = 0.013768194243311882, lr = [5e-05] +[2024-05-25 18:40:39,227] - INFO: Epoch 1685/9999, Iter 168440: Loss = 0.007527985144406557, lr = [5e-05] +[2024-05-25 18:41:06,496] - INFO: Epoch 1685/9999, Iter 168480: Loss = 0.018754150718450546, lr = [5e-05] +[2024-05-25 18:41:19,780] - INFO: Evaluate at epoch 1685! +[2024-05-25 18:41:24,573] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:41:24,574] - INFO: Eval PSNR (current): 38.068 (1685) SSIM (current): 0.9611 (1685) +[2024-05-25 18:41:24,574] - INFO: Evaluation over. +[2024-05-25 18:41:45,088] - INFO: Epoch 1686/9999, Iter 168520: Loss = 0.015437060967087746, lr = [5e-05] +[2024-05-25 18:42:12,283] - INFO: Epoch 1686/9999, Iter 168560: Loss = 0.014806789346039295, lr = [5e-05] +[2024-05-25 18:42:40,780] - INFO: Epoch 1687/9999, Iter 168600: Loss = 0.019304215908050537, lr = [5e-05] +[2024-05-25 18:43:08,051] - INFO: Epoch 1687/9999, Iter 168640: Loss = 0.010097366757690907, lr = [5e-05] +[2024-05-25 18:43:35,222] - INFO: Epoch 1687/9999, Iter 168680: Loss = 0.013228869065642357, lr = [5e-05] +[2024-05-25 18:44:03,878] - INFO: Epoch 1688/9999, Iter 168720: Loss = 0.019085749983787537, lr = [5e-05] +[2024-05-25 18:44:31,082] - INFO: Epoch 1688/9999, Iter 168760: Loss = 0.014218908734619617, lr = [5e-05] +[2024-05-25 18:44:59,688] - INFO: Epoch 1689/9999, Iter 168800: Loss = 0.020880939438939095, lr = [5e-05] +[2024-05-25 18:45:27,030] - INFO: Epoch 1689/9999, Iter 168840: Loss = 0.010776007547974586, lr = [5e-05] +[2024-05-25 18:45:54,245] - INFO: Epoch 1689/9999, Iter 168880: Loss = 0.009479104541242123, lr = [5e-05] +[2024-05-25 18:46:22,935] - INFO: Epoch 1690/9999, Iter 168920: Loss = 0.011372284963726997, lr = [5e-05] +[2024-05-25 18:46:50,177] - INFO: Epoch 1690/9999, Iter 168960: Loss = 0.011996847577393055, lr = [5e-05] +[2024-05-25 18:47:17,026] - INFO: Evaluate at epoch 1690! +[2024-05-25 18:47:21,686] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:47:21,686] - INFO: Eval PSNR (current): 38.007 (1690) SSIM (current): 0.9611 (1690) +[2024-05-25 18:47:21,686] - INFO: Evaluation over. +[2024-05-25 18:47:28,487] - INFO: Epoch 1691/9999, Iter 169000: Loss = 0.013734742999076843, lr = [5e-05] +[2024-05-25 18:47:55,754] - INFO: Epoch 1691/9999, Iter 169040: Loss = 0.018036387860774994, lr = [5e-05] +[2024-05-25 18:48:22,970] - INFO: Epoch 1691/9999, Iter 169080: Loss = 0.011681974865496159, lr = [5e-05] +[2024-05-25 18:48:51,701] - INFO: Epoch 1692/9999, Iter 169120: Loss = 0.0206151083111763, lr = [5e-05] +[2024-05-25 18:49:18,899] - INFO: Epoch 1692/9999, Iter 169160: Loss = 0.016277946531772614, lr = [5e-05] +[2024-05-25 18:49:47,700] - INFO: Epoch 1693/9999, Iter 169200: Loss = 0.0082328449934721, lr = [5e-05] +[2024-05-25 18:50:15,029] - INFO: Epoch 1693/9999, Iter 169240: Loss = 0.013835975900292397, lr = [5e-05] +[2024-05-25 18:50:42,228] - INFO: Epoch 1693/9999, Iter 169280: Loss = 0.010828192345798016, lr = [5e-05] +[2024-05-25 18:51:10,678] - INFO: Epoch 1694/9999, Iter 169320: Loss = 0.008095710538327694, lr = [5e-05] +[2024-05-25 18:51:37,868] - INFO: Epoch 1694/9999, Iter 169360: Loss = 0.0067864940501749516, lr = [5e-05] +[2024-05-25 18:52:06,458] - INFO: Epoch 1695/9999, Iter 169400: Loss = 0.011019681580364704, lr = [5e-05] +[2024-05-25 18:52:33,748] - INFO: Epoch 1695/9999, Iter 169440: Loss = 0.011712069623172283, lr = [5e-05] +[2024-05-25 18:53:00,907] - INFO: Epoch 1695/9999, Iter 169480: Loss = 0.013216922990977764, lr = [5e-05] +[2024-05-25 18:53:14,206] - INFO: Evaluate at epoch 1695! +[2024-05-25 18:53:24,788] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1695) +[2024-05-25 18:53:24,789] - INFO: Eval PSNR (current): 38.102 (1695) SSIM (current): 0.9613 (1695) +[2024-05-25 18:53:24,789] - INFO: Evaluation over. +[2024-05-25 18:53:45,178] - INFO: Epoch 1696/9999, Iter 169520: Loss = 0.015276570804417133, lr = [5e-05] +[2024-05-25 18:54:12,388] - INFO: Epoch 1696/9999, Iter 169560: Loss = 0.028528593480587006, lr = [5e-05] +[2024-05-25 18:54:41,106] - INFO: Epoch 1697/9999, Iter 169600: Loss = 0.009233220480382442, lr = [5e-05] +[2024-05-25 18:55:08,386] - INFO: Epoch 1697/9999, Iter 169640: Loss = 0.010808627121150494, lr = [5e-05] +[2024-05-25 18:55:35,606] - INFO: Epoch 1697/9999, Iter 169680: Loss = 0.014561986550688744, lr = [5e-05] +[2024-05-25 18:56:04,232] - INFO: Epoch 1698/9999, Iter 169720: Loss = 0.007974985986948013, lr = [5e-05] +[2024-05-25 18:56:31,456] - INFO: Epoch 1698/9999, Iter 169760: Loss = 0.015863867476582527, lr = [5e-05] +[2024-05-25 18:57:00,004] - INFO: Epoch 1699/9999, Iter 169800: Loss = 0.006998045835644007, lr = [5e-05] +[2024-05-25 18:57:27,306] - INFO: Epoch 1699/9999, Iter 169840: Loss = 0.008426572196185589, lr = [5e-05] +[2024-05-25 18:57:54,487] - INFO: Epoch 1699/9999, Iter 169880: Loss = 0.012357740662992, lr = [5e-05] +[2024-05-25 18:58:23,279] - INFO: Epoch 1700/9999, Iter 169920: Loss = 0.011089904233813286, lr = [5e-05] +[2024-05-25 18:58:50,508] - INFO: Epoch 1700/9999, Iter 169960: Loss = 0.00865003652870655, lr = [5e-05] +[2024-05-25 18:59:17,380] - INFO: Evaluate at epoch 1700! +[2024-05-25 18:59:27,542] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 18:59:27,543] - INFO: Eval PSNR (current): 38.134 (1700) SSIM (current): 0.9612 (1700) +[2024-05-25 18:59:27,543] - INFO: Evaluation over. +[2024-05-25 18:59:34,219] - INFO: Epoch 1701/9999, Iter 170000: Loss = 0.010974587872624397, lr = [5e-05] +[2024-05-25 19:00:01,553] - INFO: Epoch 1701/9999, Iter 170040: Loss = 0.010003608651459217, lr = [5e-05] +[2024-05-25 19:00:28,726] - INFO: Epoch 1701/9999, Iter 170080: Loss = 0.009156093932688236, lr = [5e-05] +[2024-05-25 19:00:57,473] - INFO: Epoch 1702/9999, Iter 170120: Loss = 0.01079570222645998, lr = [5e-05] +[2024-05-25 19:01:24,743] - INFO: Epoch 1702/9999, Iter 170160: Loss = 0.016310879960656166, lr = [5e-05] +[2024-05-25 19:01:53,316] - INFO: Epoch 1703/9999, Iter 170200: Loss = 0.012509681284427643, lr = [5e-05] +[2024-05-25 19:02:20,595] - INFO: Epoch 1703/9999, Iter 170240: Loss = 0.015591347590088844, lr = [5e-05] +[2024-05-25 19:02:47,840] - INFO: Epoch 1703/9999, Iter 170280: Loss = 0.01524482760578394, lr = [5e-05] +[2024-05-25 19:03:16,429] - INFO: Epoch 1704/9999, Iter 170320: Loss = 0.01595473103225231, lr = [5e-05] +[2024-05-25 19:03:43,714] - INFO: Epoch 1704/9999, Iter 170360: Loss = 0.008386948145925999, lr = [5e-05] +[2024-05-25 19:04:12,399] - INFO: Epoch 1705/9999, Iter 170400: Loss = 0.012523997575044632, lr = [5e-05] +[2024-05-25 19:04:39,621] - INFO: Epoch 1705/9999, Iter 170440: Loss = 0.010224736295640469, lr = [5e-05] +[2024-05-25 19:05:06,873] - INFO: Epoch 1705/9999, Iter 170480: Loss = 0.017469899728894234, lr = [5e-05] +[2024-05-25 19:05:20,193] - INFO: Evaluate at epoch 1705! +[2024-05-25 19:05:24,931] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 19:05:24,931] - INFO: Eval PSNR (current): 38.108 (1705) SSIM (current): 0.9612 (1705) +[2024-05-25 19:05:24,931] - INFO: Evaluation over. +[2024-05-25 19:05:45,251] - INFO: Epoch 1706/9999, Iter 170520: Loss = 0.011792425997555256, lr = [5e-05] +[2024-05-25 19:06:12,504] - INFO: Epoch 1706/9999, Iter 170560: Loss = 0.014541278593242168, lr = [5e-05] +[2024-05-25 19:06:40,794] - INFO: Epoch 1707/9999, Iter 170600: Loss = 0.009196673519909382, lr = [5e-05] +[2024-05-25 19:07:08,082] - INFO: Epoch 1707/9999, Iter 170640: Loss = 0.015737231820821762, lr = [5e-05] +[2024-05-25 19:07:35,340] - INFO: Epoch 1707/9999, Iter 170680: Loss = 0.009283981285989285, lr = [5e-05] +[2024-05-25 19:08:04,346] - INFO: Epoch 1708/9999, Iter 170720: Loss = 0.01423212792724371, lr = [5e-05] +[2024-05-25 19:08:31,594] - INFO: Epoch 1708/9999, Iter 170760: Loss = 0.012586821801960468, lr = [5e-05] +[2024-05-25 19:09:00,046] - INFO: Epoch 1709/9999, Iter 170800: Loss = 0.01782277785241604, lr = [5e-05] +[2024-05-25 19:09:27,312] - INFO: Epoch 1709/9999, Iter 170840: Loss = 0.015912067145109177, lr = [5e-05] +[2024-05-25 19:09:54,492] - INFO: Epoch 1709/9999, Iter 170880: Loss = 0.010092460550367832, lr = [5e-05] +[2024-05-25 19:10:23,318] - INFO: Epoch 1710/9999, Iter 170920: Loss = 0.016766777262091637, lr = [5e-05] +[2024-05-25 19:10:50,520] - INFO: Epoch 1710/9999, Iter 170960: Loss = 0.010269192047417164, lr = [5e-05] +[2024-05-25 19:11:17,413] - INFO: Evaluate at epoch 1710! +[2024-05-25 19:11:21,935] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 19:11:21,936] - INFO: Eval PSNR (current): 38.097 (1710) SSIM (current): 0.9612 (1710) +[2024-05-25 19:11:21,936] - INFO: Evaluation over. +[2024-05-25 19:11:28,801] - INFO: Epoch 1711/9999, Iter 171000: Loss = 0.008316065184772015, lr = [5e-05] +[2024-05-25 19:11:56,089] - INFO: Epoch 1711/9999, Iter 171040: Loss = 0.01748626120388508, lr = [5e-05] +[2024-05-25 19:12:23,338] - INFO: Epoch 1711/9999, Iter 171080: Loss = 0.017631419003009796, lr = [5e-05] +[2024-05-25 19:12:52,156] - INFO: Epoch 1712/9999, Iter 171120: Loss = 0.006176565773785114, lr = [5e-05] +[2024-05-25 19:13:19,365] - INFO: Epoch 1712/9999, Iter 171160: Loss = 0.01626620441675186, lr = [5e-05] +[2024-05-25 19:13:47,953] - INFO: Epoch 1713/9999, Iter 171200: Loss = 0.00834562350064516, lr = [5e-05] +[2024-05-25 19:14:15,280] - INFO: Epoch 1713/9999, Iter 171240: Loss = 0.012153887189924717, lr = [5e-05] +[2024-05-25 19:14:42,500] - INFO: Epoch 1713/9999, Iter 171280: Loss = 0.0093660494312644, lr = [5e-05] +[2024-05-25 19:15:11,263] - INFO: Epoch 1714/9999, Iter 171320: Loss = 0.02176271192729473, lr = [5e-05] +[2024-05-25 19:15:38,524] - INFO: Epoch 1714/9999, Iter 171360: Loss = 0.012461408972740173, lr = [5e-05] +[2024-05-25 19:16:06,967] - INFO: Epoch 1715/9999, Iter 171400: Loss = 0.008379833772778511, lr = [5e-05] +[2024-05-25 19:16:34,229] - INFO: Epoch 1715/9999, Iter 171440: Loss = 0.011775607243180275, lr = [5e-05] +[2024-05-25 19:17:01,433] - INFO: Epoch 1715/9999, Iter 171480: Loss = 0.01218693982809782, lr = [5e-05] +[2024-05-25 19:17:14,826] - INFO: Evaluate at epoch 1715! +[2024-05-25 19:17:19,529] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 19:17:19,529] - INFO: Eval PSNR (current): 38.089 (1715) SSIM (current): 0.9613 (1715) +[2024-05-25 19:17:19,529] - INFO: Evaluation over. +[2024-05-25 19:17:39,883] - INFO: Epoch 1716/9999, Iter 171520: Loss = 0.01528145745396614, lr = [5e-05] +[2024-05-25 19:18:07,139] - INFO: Epoch 1716/9999, Iter 171560: Loss = 0.023181069642305374, lr = [5e-05] +[2024-05-25 19:18:35,484] - INFO: Epoch 1717/9999, Iter 171600: Loss = 0.013696105219423771, lr = [5e-05] +[2024-05-25 19:19:02,721] - INFO: Epoch 1717/9999, Iter 171640: Loss = 0.00783300306648016, lr = [5e-05] +[2024-05-25 19:19:29,975] - INFO: Epoch 1717/9999, Iter 171680: Loss = 0.01322002150118351, lr = [5e-05] +[2024-05-25 19:19:58,643] - INFO: Epoch 1718/9999, Iter 171720: Loss = 0.016040047630667686, lr = [5e-05] +[2024-05-25 19:20:25,834] - INFO: Epoch 1718/9999, Iter 171760: Loss = 0.011173540726304054, lr = [5e-05] +[2024-05-25 19:20:54,520] - INFO: Epoch 1719/9999, Iter 171800: Loss = 0.01499753724783659, lr = [5e-05] +[2024-05-25 19:21:21,831] - INFO: Epoch 1719/9999, Iter 171840: Loss = 0.011753425933420658, lr = [5e-05] +[2024-05-25 19:21:49,042] - INFO: Epoch 1719/9999, Iter 171880: Loss = 0.014791661873459816, lr = [5e-05] +[2024-05-25 19:22:17,768] - INFO: Epoch 1720/9999, Iter 171920: Loss = 0.017387324944138527, lr = [5e-05] +[2024-05-25 19:22:44,950] - INFO: Epoch 1720/9999, Iter 171960: Loss = 0.011424141004681587, lr = [5e-05] +[2024-05-25 19:23:11,856] - INFO: Evaluate at epoch 1720! +[2024-05-25 19:23:16,579] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 19:23:16,579] - INFO: Eval PSNR (current): 38.041 (1720) SSIM (current): 0.9610 (1720) +[2024-05-25 19:23:16,579] - INFO: Evaluation over. +[2024-05-25 19:23:23,605] - INFO: Epoch 1721/9999, Iter 172000: Loss = 0.020515235140919685, lr = [5e-05] +[2024-05-25 19:23:50,917] - INFO: Epoch 1721/9999, Iter 172040: Loss = 0.009436040185391903, lr = [5e-05] +[2024-05-25 19:24:18,147] - INFO: Epoch 1721/9999, Iter 172080: Loss = 0.019685693085193634, lr = [5e-05] +[2024-05-25 19:24:46,815] - INFO: Epoch 1722/9999, Iter 172120: Loss = 0.019588729366660118, lr = [5e-05] +[2024-05-25 19:25:14,006] - INFO: Epoch 1722/9999, Iter 172160: Loss = 0.015673115849494934, lr = [5e-05] +[2024-05-25 19:25:42,660] - INFO: Epoch 1723/9999, Iter 172200: Loss = 0.010506542399525642, lr = [5e-05] +[2024-05-25 19:26:09,936] - INFO: Epoch 1723/9999, Iter 172240: Loss = 0.014247465878725052, lr = [5e-05] +[2024-05-25 19:26:37,127] - INFO: Epoch 1723/9999, Iter 172280: Loss = 0.019467715173959732, lr = [5e-05] +[2024-05-25 19:27:05,748] - INFO: Epoch 1724/9999, Iter 172320: Loss = 0.011503377929329872, lr = [5e-05] +[2024-05-25 19:27:32,938] - INFO: Epoch 1724/9999, Iter 172360: Loss = 0.010130814276635647, lr = [5e-05] +[2024-05-25 19:28:01,478] - INFO: Epoch 1725/9999, Iter 172400: Loss = 0.009057166054844856, lr = [5e-05] +[2024-05-25 19:28:28,795] - INFO: Epoch 1725/9999, Iter 172440: Loss = 0.006459030322730541, lr = [5e-05] +[2024-05-25 19:28:56,023] - INFO: Epoch 1725/9999, Iter 172480: Loss = 0.012504260055720806, lr = [5e-05] +[2024-05-25 19:29:09,289] - INFO: Evaluate at epoch 1725! +[2024-05-25 19:29:19,210] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:29:19,211] - INFO: Eval PSNR (current): 38.086 (1725) SSIM (current): 0.9613 (1725) +[2024-05-25 19:29:19,211] - INFO: Evaluation over. +[2024-05-25 19:29:39,734] - INFO: Epoch 1726/9999, Iter 172520: Loss = 0.010975689627230167, lr = [5e-05] +[2024-05-25 19:30:06,907] - INFO: Epoch 1726/9999, Iter 172560: Loss = 0.010708433575928211, lr = [5e-05] +[2024-05-25 19:30:35,615] - INFO: Epoch 1727/9999, Iter 172600: Loss = 0.01052119117230177, lr = [5e-05] +[2024-05-25 19:31:02,870] - INFO: Epoch 1727/9999, Iter 172640: Loss = 0.010480002500116825, lr = [5e-05] +[2024-05-25 19:31:30,067] - INFO: Epoch 1727/9999, Iter 172680: Loss = 0.013665310107171535, lr = [5e-05] +[2024-05-25 19:31:58,682] - INFO: Epoch 1728/9999, Iter 172720: Loss = 0.00929349660873413, lr = [5e-05] +[2024-05-25 19:32:25,892] - INFO: Epoch 1728/9999, Iter 172760: Loss = 0.01496756263077259, lr = [5e-05] +[2024-05-25 19:32:54,412] - INFO: Epoch 1729/9999, Iter 172800: Loss = 0.010104643180966377, lr = [5e-05] +[2024-05-25 19:33:21,667] - INFO: Epoch 1729/9999, Iter 172840: Loss = 0.010521833784878254, lr = [5e-05] +[2024-05-25 19:33:48,880] - INFO: Epoch 1729/9999, Iter 172880: Loss = 0.011350352317094803, lr = [5e-05] +[2024-05-25 19:34:17,499] - INFO: Epoch 1730/9999, Iter 172920: Loss = 0.012793807312846184, lr = [5e-05] +[2024-05-25 19:34:44,696] - INFO: Epoch 1730/9999, Iter 172960: Loss = 0.010464776307344437, lr = [5e-05] +[2024-05-25 19:35:11,638] - INFO: Evaluate at epoch 1730! +[2024-05-25 19:35:16,417] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:35:16,417] - INFO: Eval PSNR (current): 38.093 (1730) SSIM (current): 0.9612 (1730) +[2024-05-25 19:35:16,417] - INFO: Evaluation over. +[2024-05-25 19:35:23,231] - INFO: Epoch 1731/9999, Iter 173000: Loss = 0.009890574030578136, lr = [5e-05] +[2024-05-25 19:35:50,611] - INFO: Epoch 1731/9999, Iter 173040: Loss = 0.010284405201673508, lr = [5e-05] +[2024-05-25 19:36:17,863] - INFO: Epoch 1731/9999, Iter 173080: Loss = 0.008402437902987003, lr = [5e-05] +[2024-05-25 19:36:46,378] - INFO: Epoch 1732/9999, Iter 173120: Loss = 0.012210629880428314, lr = [5e-05] +[2024-05-25 19:37:13,596] - INFO: Epoch 1732/9999, Iter 173160: Loss = 0.006984790321439505, lr = [5e-05] +[2024-05-25 19:37:41,923] - INFO: Epoch 1733/9999, Iter 173200: Loss = 0.010158035904169083, lr = [5e-05] +[2024-05-25 19:38:09,250] - INFO: Epoch 1733/9999, Iter 173240: Loss = 0.006637438666075468, lr = [5e-05] +[2024-05-25 19:38:36,501] - INFO: Epoch 1733/9999, Iter 173280: Loss = 0.020065907388925552, lr = [5e-05] +[2024-05-25 19:39:05,199] - INFO: Epoch 1734/9999, Iter 173320: Loss = 0.01364260446280241, lr = [5e-05] +[2024-05-25 19:39:32,413] - INFO: Epoch 1734/9999, Iter 173360: Loss = 0.014689401723444462, lr = [5e-05] +[2024-05-25 19:40:01,144] - INFO: Epoch 1735/9999, Iter 173400: Loss = 0.016616221517324448, lr = [5e-05] +[2024-05-25 19:40:28,446] - INFO: Epoch 1735/9999, Iter 173440: Loss = 0.01738922856748104, lr = [5e-05] +[2024-05-25 19:40:55,733] - INFO: Epoch 1735/9999, Iter 173480: Loss = 0.013097284361720085, lr = [5e-05] +[2024-05-25 19:41:09,033] - INFO: Evaluate at epoch 1735! +[2024-05-25 19:41:13,717] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:41:13,718] - INFO: Eval PSNR (current): 38.107 (1735) SSIM (current): 0.9613 (1735) +[2024-05-25 19:41:13,718] - INFO: Evaluation over. +[2024-05-25 19:41:34,120] - INFO: Epoch 1736/9999, Iter 173520: Loss = 0.017215369269251823, lr = [5e-05] +[2024-05-25 19:42:01,304] - INFO: Epoch 1736/9999, Iter 173560: Loss = 0.012129629030823708, lr = [5e-05] +[2024-05-25 19:42:29,824] - INFO: Epoch 1737/9999, Iter 173600: Loss = 0.014425617642700672, lr = [5e-05] +[2024-05-25 19:42:57,149] - INFO: Epoch 1737/9999, Iter 173640: Loss = 0.008462660945951939, lr = [5e-05] +[2024-05-25 19:43:24,426] - INFO: Epoch 1737/9999, Iter 173680: Loss = 0.01167481392621994, lr = [5e-05] +[2024-05-25 19:43:53,083] - INFO: Epoch 1738/9999, Iter 173720: Loss = 0.007896273396909237, lr = [5e-05] +[2024-05-25 19:44:20,277] - INFO: Epoch 1738/9999, Iter 173760: Loss = 0.01132668275386095, lr = [5e-05] +[2024-05-25 19:44:48,707] - INFO: Epoch 1739/9999, Iter 173800: Loss = 0.014036267064511776, lr = [5e-05] +[2024-05-25 19:45:15,957] - INFO: Epoch 1739/9999, Iter 173840: Loss = 0.009179610759019852, lr = [5e-05] +[2024-05-25 19:45:43,171] - INFO: Epoch 1739/9999, Iter 173880: Loss = 0.010357360355556011, lr = [5e-05] +[2024-05-25 19:46:12,091] - INFO: Epoch 1740/9999, Iter 173920: Loss = 0.012994700111448765, lr = [5e-05] +[2024-05-25 19:46:39,367] - INFO: Epoch 1740/9999, Iter 173960: Loss = 0.013119054958224297, lr = [5e-05] +[2024-05-25 19:47:06,277] - INFO: Evaluate at epoch 1740! +[2024-05-25 19:47:10,939] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:47:10,939] - INFO: Eval PSNR (current): 38.038 (1740) SSIM (current): 0.9611 (1740) +[2024-05-25 19:47:10,939] - INFO: Evaluation over. +[2024-05-25 19:47:17,689] - INFO: Epoch 1741/9999, Iter 174000: Loss = 0.013770059682428837, lr = [5e-05] +[2024-05-25 19:47:44,950] - INFO: Epoch 1741/9999, Iter 174040: Loss = 0.02281443029642105, lr = [5e-05] +[2024-05-25 19:48:12,191] - INFO: Epoch 1741/9999, Iter 174080: Loss = 0.016130506992340088, lr = [5e-05] +[2024-05-25 19:48:40,875] - INFO: Epoch 1742/9999, Iter 174120: Loss = 0.01407654955983162, lr = [5e-05] +[2024-05-25 19:49:08,090] - INFO: Epoch 1742/9999, Iter 174160: Loss = 0.015105435624718666, lr = [5e-05] +[2024-05-25 19:49:36,564] - INFO: Epoch 1743/9999, Iter 174200: Loss = 0.014198342338204384, lr = [5e-05] +[2024-05-25 19:50:03,967] - INFO: Epoch 1743/9999, Iter 174240: Loss = 0.016463426873087883, lr = [5e-05] +[2024-05-25 19:50:31,162] - INFO: Epoch 1743/9999, Iter 174280: Loss = 0.010743772611021996, lr = [5e-05] +[2024-05-25 19:50:59,568] - INFO: Epoch 1744/9999, Iter 174320: Loss = 0.019565604627132416, lr = [5e-05] +[2024-05-25 19:51:26,750] - INFO: Epoch 1744/9999, Iter 174360: Loss = 0.01303893979638815, lr = [5e-05] +[2024-05-25 19:51:55,539] - INFO: Epoch 1745/9999, Iter 174400: Loss = 0.014464635401964188, lr = [5e-05] +[2024-05-25 19:52:22,829] - INFO: Epoch 1745/9999, Iter 174440: Loss = 0.008834975771605968, lr = [5e-05] +[2024-05-25 19:52:50,045] - INFO: Epoch 1745/9999, Iter 174480: Loss = 0.02005413919687271, lr = [5e-05] +[2024-05-25 19:53:03,346] - INFO: Evaluate at epoch 1745! +[2024-05-25 19:53:08,025] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:53:08,025] - INFO: Eval PSNR (current): 38.110 (1745) SSIM (current): 0.9612 (1745) +[2024-05-25 19:53:08,025] - INFO: Evaluation over. +[2024-05-25 19:53:28,559] - INFO: Epoch 1746/9999, Iter 174520: Loss = 0.018280649557709694, lr = [5e-05] +[2024-05-25 19:53:55,788] - INFO: Epoch 1746/9999, Iter 174560: Loss = 0.013294159434735775, lr = [5e-05] +[2024-05-25 19:54:24,421] - INFO: Epoch 1747/9999, Iter 174600: Loss = 0.00864823441952467, lr = [5e-05] +[2024-05-25 19:54:51,723] - INFO: Epoch 1747/9999, Iter 174640: Loss = 0.006981431506574154, lr = [5e-05] +[2024-05-25 19:55:18,971] - INFO: Epoch 1747/9999, Iter 174680: Loss = 0.0095751928165555, lr = [5e-05] +[2024-05-25 19:55:47,474] - INFO: Epoch 1748/9999, Iter 174720: Loss = 0.0105979572981596, lr = [5e-05] +[2024-05-25 19:56:14,663] - INFO: Epoch 1748/9999, Iter 174760: Loss = 0.012019376270473003, lr = [5e-05] +[2024-05-25 19:56:43,405] - INFO: Epoch 1749/9999, Iter 174800: Loss = 0.012902438640594482, lr = [5e-05] +[2024-05-25 19:57:10,751] - INFO: Epoch 1749/9999, Iter 174840: Loss = 0.011504875496029854, lr = [5e-05] +[2024-05-25 19:57:38,022] - INFO: Epoch 1749/9999, Iter 174880: Loss = 0.012135225348174572, lr = [5e-05] +[2024-05-25 19:58:06,675] - INFO: Epoch 1750/9999, Iter 174920: Loss = 0.01320903655141592, lr = [5e-05] +[2024-05-25 19:58:33,856] - INFO: Epoch 1750/9999, Iter 174960: Loss = 0.008595304563641548, lr = [5e-05] +[2024-05-25 19:59:00,772] - INFO: Evaluate at epoch 1750! +[2024-05-25 19:59:10,739] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 19:59:10,740] - INFO: Eval PSNR (current): 38.112 (1750) SSIM (current): 0.9614 (1750) +[2024-05-25 19:59:10,740] - INFO: Evaluation over. +[2024-05-25 19:59:17,567] - INFO: Epoch 1751/9999, Iter 175000: Loss = 0.012385892681777477, lr = [5e-05] +[2024-05-25 19:59:44,858] - INFO: Epoch 1751/9999, Iter 175040: Loss = 0.021366888657212257, lr = [5e-05] +[2024-05-25 20:00:12,107] - INFO: Epoch 1751/9999, Iter 175080: Loss = 0.012408164329826832, lr = [5e-05] +[2024-05-25 20:00:40,578] - INFO: Epoch 1752/9999, Iter 175120: Loss = 0.017176814377307892, lr = [5e-05] +[2024-05-25 20:01:07,837] - INFO: Epoch 1752/9999, Iter 175160: Loss = 0.007623871322721243, lr = [5e-05] +[2024-05-25 20:01:36,474] - INFO: Epoch 1753/9999, Iter 175200: Loss = 0.008189963176846504, lr = [5e-05] +[2024-05-25 20:02:03,727] - INFO: Epoch 1753/9999, Iter 175240: Loss = 0.011721997521817684, lr = [5e-05] +[2024-05-25 20:02:30,971] - INFO: Epoch 1753/9999, Iter 175280: Loss = 0.022985564544796944, lr = [5e-05] +[2024-05-25 20:02:59,533] - INFO: Epoch 1754/9999, Iter 175320: Loss = 0.01597536727786064, lr = [5e-05] +[2024-05-25 20:03:26,764] - INFO: Epoch 1754/9999, Iter 175360: Loss = 0.011813843622803688, lr = [5e-05] +[2024-05-25 20:03:55,427] - INFO: Epoch 1755/9999, Iter 175400: Loss = 0.009596430696547031, lr = [5e-05] +[2024-05-25 20:04:22,726] - INFO: Epoch 1755/9999, Iter 175440: Loss = 0.009070937521755695, lr = [5e-05] +[2024-05-25 20:04:49,971] - INFO: Epoch 1755/9999, Iter 175480: Loss = 0.01024600863456726, lr = [5e-05] +[2024-05-25 20:05:03,262] - INFO: Evaluate at epoch 1755! +[2024-05-25 20:05:07,908] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:05:07,909] - INFO: Eval PSNR (current): 38.103 (1755) SSIM (current): 0.9612 (1755) +[2024-05-25 20:05:07,909] - INFO: Evaluation over. +[2024-05-25 20:05:28,273] - INFO: Epoch 1756/9999, Iter 175520: Loss = 0.013053744100034237, lr = [5e-05] +[2024-05-25 20:05:55,477] - INFO: Epoch 1756/9999, Iter 175560: Loss = 0.011131785809993744, lr = [5e-05] +[2024-05-25 20:06:24,053] - INFO: Epoch 1757/9999, Iter 175600: Loss = 0.011731822974979877, lr = [5e-05] +[2024-05-25 20:06:51,272] - INFO: Epoch 1757/9999, Iter 175640: Loss = 0.010452979244291782, lr = [5e-05] +[2024-05-25 20:07:18,522] - INFO: Epoch 1757/9999, Iter 175680: Loss = 0.0056153107434511185, lr = [5e-05] +[2024-05-25 20:07:47,111] - INFO: Epoch 1758/9999, Iter 175720: Loss = 0.009391670115292072, lr = [5e-05] +[2024-05-25 20:08:14,374] - INFO: Epoch 1758/9999, Iter 175760: Loss = 0.014468884095549583, lr = [5e-05] +[2024-05-25 20:08:43,298] - INFO: Epoch 1759/9999, Iter 175800: Loss = 0.011051730252802372, lr = [5e-05] +[2024-05-25 20:09:10,654] - INFO: Epoch 1759/9999, Iter 175840: Loss = 0.012094509787857533, lr = [5e-05] +[2024-05-25 20:09:37,852] - INFO: Epoch 1759/9999, Iter 175880: Loss = 0.009598501026630402, lr = [5e-05] +[2024-05-25 20:10:06,578] - INFO: Epoch 1760/9999, Iter 175920: Loss = 0.019262216985225677, lr = [5e-05] +[2024-05-25 20:10:33,815] - INFO: Epoch 1760/9999, Iter 175960: Loss = 0.013055779039859772, lr = [5e-05] +[2024-05-25 20:11:04,880] - INFO: Evaluate at epoch 1760! +[2024-05-25 20:11:11,704] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:11:11,704] - INFO: Eval PSNR (current): 38.096 (1760) SSIM (current): 0.9612 (1760) +[2024-05-25 20:11:11,704] - INFO: Evaluation over. +[2024-05-25 20:11:23,097] - INFO: Epoch 1761/9999, Iter 176000: Loss = 0.02794984169304371, lr = [5e-05] +[2024-05-25 20:11:50,403] - INFO: Epoch 1761/9999, Iter 176040: Loss = 0.007862310856580734, lr = [5e-05] +[2024-05-25 20:12:19,203] - INFO: Epoch 1761/9999, Iter 176080: Loss = 0.007408239413052797, lr = [5e-05] +[2024-05-25 20:12:48,576] - INFO: Epoch 1762/9999, Iter 176120: Loss = 0.011201637797057629, lr = [5e-05] +[2024-05-25 20:13:16,486] - INFO: Epoch 1762/9999, Iter 176160: Loss = 0.008748743683099747, lr = [5e-05] +[2024-05-25 20:13:47,699] - INFO: Epoch 1763/9999, Iter 176200: Loss = 0.015286386013031006, lr = [5e-05] +[2024-05-25 20:14:15,176] - INFO: Epoch 1763/9999, Iter 176240: Loss = 0.015659069642424583, lr = [5e-05] +[2024-05-25 20:14:46,055] - INFO: Epoch 1763/9999, Iter 176280: Loss = 0.01445817667990923, lr = [5e-05] +[2024-05-25 20:15:16,915] - INFO: Epoch 1764/9999, Iter 176320: Loss = 0.008378198370337486, lr = [5e-05] +[2024-05-25 20:15:44,075] - INFO: Epoch 1764/9999, Iter 176360: Loss = 0.020259426906704903, lr = [5e-05] +[2024-05-25 20:16:12,735] - INFO: Epoch 1765/9999, Iter 176400: Loss = 0.011718577705323696, lr = [5e-05] +[2024-05-25 20:16:40,091] - INFO: Epoch 1765/9999, Iter 176440: Loss = 0.00795792881399393, lr = [5e-05] +[2024-05-25 20:17:07,277] - INFO: Epoch 1765/9999, Iter 176480: Loss = 0.016977205872535706, lr = [5e-05] +[2024-05-25 20:17:20,578] - INFO: Evaluate at epoch 1765! +[2024-05-25 20:17:25,239] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:17:25,240] - INFO: Eval PSNR (current): 38.112 (1765) SSIM (current): 0.9612 (1765) +[2024-05-25 20:17:25,240] - INFO: Evaluation over. +[2024-05-25 20:17:46,182] - INFO: Epoch 1766/9999, Iter 176520: Loss = 0.017470983788371086, lr = [5e-05] +[2024-05-25 20:18:13,381] - INFO: Epoch 1766/9999, Iter 176560: Loss = 0.01180255226790905, lr = [5e-05] +[2024-05-25 20:18:42,056] - INFO: Epoch 1767/9999, Iter 176600: Loss = 0.007797511760145426, lr = [5e-05] +[2024-05-25 20:19:09,318] - INFO: Epoch 1767/9999, Iter 176640: Loss = 0.010618630796670914, lr = [5e-05] +[2024-05-25 20:19:36,562] - INFO: Epoch 1767/9999, Iter 176680: Loss = 0.010740245692431927, lr = [5e-05] +[2024-05-25 20:20:05,072] - INFO: Epoch 1768/9999, Iter 176720: Loss = 0.01286137755960226, lr = [5e-05] +[2024-05-25 20:20:32,304] - INFO: Epoch 1768/9999, Iter 176760: Loss = 0.009598307311534882, lr = [5e-05] +[2024-05-25 20:21:00,784] - INFO: Epoch 1769/9999, Iter 176800: Loss = 0.009916608221828938, lr = [5e-05] +[2024-05-25 20:21:28,037] - INFO: Epoch 1769/9999, Iter 176840: Loss = 0.00795165915042162, lr = [5e-05] +[2024-05-25 20:21:55,258] - INFO: Epoch 1769/9999, Iter 176880: Loss = 0.010990754701197147, lr = [5e-05] +[2024-05-25 20:22:24,020] - INFO: Epoch 1770/9999, Iter 176920: Loss = 0.015719152987003326, lr = [5e-05] +[2024-05-25 20:22:51,226] - INFO: Epoch 1770/9999, Iter 176960: Loss = 0.008797337301075459, lr = [5e-05] +[2024-05-25 20:23:18,148] - INFO: Evaluate at epoch 1770! +[2024-05-25 20:23:22,740] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:23:22,740] - INFO: Eval PSNR (current): 38.091 (1770) SSIM (current): 0.9613 (1770) +[2024-05-25 20:23:22,740] - INFO: Evaluation over. +[2024-05-25 20:23:29,326] - INFO: Epoch 1771/9999, Iter 177000: Loss = 0.010232606902718544, lr = [5e-05] +[2024-05-25 20:23:56,667] - INFO: Epoch 1771/9999, Iter 177040: Loss = 0.014567545615136623, lr = [5e-05] +[2024-05-25 20:24:23,871] - INFO: Epoch 1771/9999, Iter 177080: Loss = 0.012650988064706326, lr = [5e-05] +[2024-05-25 20:24:52,462] - INFO: Epoch 1772/9999, Iter 177120: Loss = 0.010024398565292358, lr = [5e-05] +[2024-05-25 20:25:19,696] - INFO: Epoch 1772/9999, Iter 177160: Loss = 0.006274811923503876, lr = [5e-05] +[2024-05-25 20:25:48,222] - INFO: Epoch 1773/9999, Iter 177200: Loss = 0.00939529575407505, lr = [5e-05] +[2024-05-25 20:26:15,505] - INFO: Epoch 1773/9999, Iter 177240: Loss = 0.011388116516172886, lr = [5e-05] +[2024-05-25 20:26:42,703] - INFO: Epoch 1773/9999, Iter 177280: Loss = 0.015974465757608414, lr = [5e-05] +[2024-05-25 20:27:11,531] - INFO: Epoch 1774/9999, Iter 177320: Loss = 0.008791928179562092, lr = [5e-05] +[2024-05-25 20:27:38,810] - INFO: Epoch 1774/9999, Iter 177360: Loss = 0.027263447642326355, lr = [5e-05] +[2024-05-25 20:28:07,285] - INFO: Epoch 1775/9999, Iter 177400: Loss = 0.016368309035897255, lr = [5e-05] +[2024-05-25 20:28:34,604] - INFO: Epoch 1775/9999, Iter 177440: Loss = 0.018539942800998688, lr = [5e-05] +[2024-05-25 20:29:01,853] - INFO: Epoch 1775/9999, Iter 177480: Loss = 0.007891254499554634, lr = [5e-05] +[2024-05-25 20:29:15,114] - INFO: Evaluate at epoch 1775! +[2024-05-25 20:29:19,851] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:29:19,852] - INFO: Eval PSNR (current): 38.088 (1775) SSIM (current): 0.9612 (1775) +[2024-05-25 20:29:19,852] - INFO: Evaluation over. +[2024-05-25 20:29:40,476] - INFO: Epoch 1776/9999, Iter 177520: Loss = 0.007186626084148884, lr = [5e-05] +[2024-05-25 20:30:07,688] - INFO: Epoch 1776/9999, Iter 177560: Loss = 0.007978181354701519, lr = [5e-05] +[2024-05-25 20:30:36,432] - INFO: Epoch 1777/9999, Iter 177600: Loss = 0.01818743906915188, lr = [5e-05] +[2024-05-25 20:31:03,727] - INFO: Epoch 1777/9999, Iter 177640: Loss = 0.01597740314900875, lr = [5e-05] +[2024-05-25 20:31:30,974] - INFO: Epoch 1777/9999, Iter 177680: Loss = 0.013244889676570892, lr = [5e-05] +[2024-05-25 20:31:59,763] - INFO: Epoch 1778/9999, Iter 177720: Loss = 0.011705616489052773, lr = [5e-05] +[2024-05-25 20:32:27,072] - INFO: Epoch 1778/9999, Iter 177760: Loss = 0.008851651102304459, lr = [5e-05] +[2024-05-25 20:32:55,562] - INFO: Epoch 1779/9999, Iter 177800: Loss = 0.007739761844277382, lr = [5e-05] +[2024-05-25 20:33:22,927] - INFO: Epoch 1779/9999, Iter 177840: Loss = 0.011575259268283844, lr = [5e-05] +[2024-05-25 20:33:50,107] - INFO: Epoch 1779/9999, Iter 177880: Loss = 0.011038475669920444, lr = [5e-05] +[2024-05-25 20:34:18,830] - INFO: Epoch 1780/9999, Iter 177920: Loss = 0.009236003272235394, lr = [5e-05] +[2024-05-25 20:34:46,002] - INFO: Epoch 1780/9999, Iter 177960: Loss = 0.01118079386651516, lr = [5e-05] +[2024-05-25 20:35:12,898] - INFO: Evaluate at epoch 1780! +[2024-05-25 20:35:17,465] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:35:17,465] - INFO: Eval PSNR (current): 38.106 (1780) SSIM (current): 0.9611 (1780) +[2024-05-25 20:35:17,465] - INFO: Evaluation over. +[2024-05-25 20:35:24,212] - INFO: Epoch 1781/9999, Iter 178000: Loss = 0.011575720272958279, lr = [5e-05] +[2024-05-25 20:35:51,496] - INFO: Epoch 1781/9999, Iter 178040: Loss = 0.01829090528190136, lr = [5e-05] +[2024-05-25 20:36:18,729] - INFO: Epoch 1781/9999, Iter 178080: Loss = 0.01649331860244274, lr = [5e-05] +[2024-05-25 20:36:47,659] - INFO: Epoch 1782/9999, Iter 178120: Loss = 0.010153369046747684, lr = [5e-05] +[2024-05-25 20:37:14,855] - INFO: Epoch 1782/9999, Iter 178160: Loss = 0.013660095632076263, lr = [5e-05] +[2024-05-25 20:37:43,491] - INFO: Epoch 1783/9999, Iter 178200: Loss = 0.018354123458266258, lr = [5e-05] +[2024-05-25 20:38:10,832] - INFO: Epoch 1783/9999, Iter 178240: Loss = 0.010665656067430973, lr = [5e-05] +[2024-05-25 20:38:38,078] - INFO: Epoch 1783/9999, Iter 178280: Loss = 0.025312066078186035, lr = [5e-05] +[2024-05-25 20:39:06,827] - INFO: Epoch 1784/9999, Iter 178320: Loss = 0.018260935321450233, lr = [5e-05] +[2024-05-25 20:39:34,074] - INFO: Epoch 1784/9999, Iter 178360: Loss = 0.02162724919617176, lr = [5e-05] +[2024-05-25 20:40:02,494] - INFO: Epoch 1785/9999, Iter 178400: Loss = 0.010259630158543587, lr = [5e-05] +[2024-05-25 20:40:29,828] - INFO: Epoch 1785/9999, Iter 178440: Loss = 0.025554167106747627, lr = [5e-05] +[2024-05-25 20:40:57,038] - INFO: Epoch 1785/9999, Iter 178480: Loss = 0.009836574085056782, lr = [5e-05] +[2024-05-25 20:41:10,349] - INFO: Evaluate at epoch 1785! +[2024-05-25 20:41:14,919] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:41:14,919] - INFO: Eval PSNR (current): 38.092 (1785) SSIM (current): 0.9612 (1785) +[2024-05-25 20:41:14,919] - INFO: Evaluation over. +[2024-05-25 20:41:35,571] - INFO: Epoch 1786/9999, Iter 178520: Loss = 0.00630010524764657, lr = [5e-05] +[2024-05-25 20:42:02,789] - INFO: Epoch 1786/9999, Iter 178560: Loss = 0.012680851854383945, lr = [5e-05] +[2024-05-25 20:42:31,278] - INFO: Epoch 1787/9999, Iter 178600: Loss = 0.02618328109383583, lr = [5e-05] +[2024-05-25 20:42:58,589] - INFO: Epoch 1787/9999, Iter 178640: Loss = 0.011099062860012054, lr = [5e-05] +[2024-05-25 20:43:25,802] - INFO: Epoch 1787/9999, Iter 178680: Loss = 0.013716314919292927, lr = [5e-05] +[2024-05-25 20:43:54,490] - INFO: Epoch 1788/9999, Iter 178720: Loss = 0.005877673160284758, lr = [5e-05] +[2024-05-25 20:44:21,715] - INFO: Epoch 1788/9999, Iter 178760: Loss = 0.01481262780725956, lr = [5e-05] +[2024-05-25 20:44:50,209] - INFO: Epoch 1789/9999, Iter 178800: Loss = 0.012943332083523273, lr = [5e-05] +[2024-05-25 20:45:17,495] - INFO: Epoch 1789/9999, Iter 178840: Loss = 0.011854566633701324, lr = [5e-05] +[2024-05-25 20:45:44,734] - INFO: Epoch 1789/9999, Iter 178880: Loss = 0.007232039235532284, lr = [5e-05] +[2024-05-25 20:46:13,454] - INFO: Epoch 1790/9999, Iter 178920: Loss = 0.015244263224303722, lr = [5e-05] +[2024-05-25 20:46:40,694] - INFO: Epoch 1790/9999, Iter 178960: Loss = 0.013136148452758789, lr = [5e-05] +[2024-05-25 20:47:07,617] - INFO: Evaluate at epoch 1790! +[2024-05-25 20:47:12,355] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:47:12,355] - INFO: Eval PSNR (current): 38.052 (1790) SSIM (current): 0.9609 (1790) +[2024-05-25 20:47:12,355] - INFO: Evaluation over. +[2024-05-25 20:47:19,176] - INFO: Epoch 1791/9999, Iter 179000: Loss = 0.012437539175152779, lr = [5e-05] +[2024-05-25 20:47:46,434] - INFO: Epoch 1791/9999, Iter 179040: Loss = 0.015379917807877064, lr = [5e-05] +[2024-05-25 20:48:13,666] - INFO: Epoch 1791/9999, Iter 179080: Loss = 0.010812441818416119, lr = [5e-05] +[2024-05-25 20:48:42,346] - INFO: Epoch 1792/9999, Iter 179120: Loss = 0.016494616866111755, lr = [5e-05] +[2024-05-25 20:49:09,580] - INFO: Epoch 1792/9999, Iter 179160: Loss = 0.008807908743619919, lr = [5e-05] +[2024-05-25 20:49:38,054] - INFO: Epoch 1793/9999, Iter 179200: Loss = 0.011219636537134647, lr = [5e-05] +[2024-05-25 20:50:05,317] - INFO: Epoch 1793/9999, Iter 179240: Loss = 0.009233164601027966, lr = [5e-05] +[2024-05-25 20:50:32,594] - INFO: Epoch 1793/9999, Iter 179280: Loss = 0.012652636505663395, lr = [5e-05] +[2024-05-25 20:51:01,286] - INFO: Epoch 1794/9999, Iter 179320: Loss = 0.012100744992494583, lr = [5e-05] +[2024-05-25 20:51:28,481] - INFO: Epoch 1794/9999, Iter 179360: Loss = 0.009788471274077892, lr = [5e-05] +[2024-05-25 20:51:57,220] - INFO: Epoch 1795/9999, Iter 179400: Loss = 0.01227479986846447, lr = [5e-05] +[2024-05-25 20:52:24,531] - INFO: Epoch 1795/9999, Iter 179440: Loss = 0.013582334853708744, lr = [5e-05] +[2024-05-25 20:52:51,754] - INFO: Epoch 1795/9999, Iter 179480: Loss = 0.01727905683219433, lr = [5e-05] +[2024-05-25 20:53:05,076] - INFO: Evaluate at epoch 1795! +[2024-05-25 20:53:09,657] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:53:09,657] - INFO: Eval PSNR (current): 38.066 (1795) SSIM (current): 0.9612 (1795) +[2024-05-25 20:53:09,658] - INFO: Evaluation over. +[2024-05-25 20:53:30,048] - INFO: Epoch 1796/9999, Iter 179520: Loss = 0.012400765903294086, lr = [5e-05] +[2024-05-25 20:53:57,310] - INFO: Epoch 1796/9999, Iter 179560: Loss = 0.008826913312077522, lr = [5e-05] +[2024-05-25 20:54:25,757] - INFO: Epoch 1797/9999, Iter 179600: Loss = 0.0148050831630826, lr = [5e-05] +[2024-05-25 20:54:52,950] - INFO: Epoch 1797/9999, Iter 179640: Loss = 0.01927979849278927, lr = [5e-05] +[2024-05-25 20:55:20,193] - INFO: Epoch 1797/9999, Iter 179680: Loss = 0.013829235918819904, lr = [5e-05] +[2024-05-25 20:55:48,967] - INFO: Epoch 1798/9999, Iter 179720: Loss = 0.016043445095419884, lr = [5e-05] +[2024-05-25 20:56:16,158] - INFO: Epoch 1798/9999, Iter 179760: Loss = 0.01671958714723587, lr = [5e-05] +[2024-05-25 20:56:44,815] - INFO: Epoch 1799/9999, Iter 179800: Loss = 0.01494704931974411, lr = [5e-05] +[2024-05-25 20:57:12,086] - INFO: Epoch 1799/9999, Iter 179840: Loss = 0.013580592349171638, lr = [5e-05] +[2024-05-25 20:57:39,332] - INFO: Epoch 1799/9999, Iter 179880: Loss = 0.009046684950590134, lr = [5e-05] +[2024-05-25 20:58:07,770] - INFO: Epoch 1800/9999, Iter 179920: Loss = 0.015977228060364723, lr = [5e-05] +[2024-05-25 20:58:35,018] - INFO: Epoch 1800/9999, Iter 179960: Loss = 0.013390232808887959, lr = [5e-05] +[2024-05-25 20:59:01,936] - INFO: Evaluate at epoch 1800! +[2024-05-25 20:59:06,536] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:59:06,536] - INFO: Eval PSNR (current): 38.129 (1800) SSIM (current): 0.9612 (1800) +[2024-05-25 20:59:06,536] - INFO: Evaluation over. +[2024-05-25 20:59:13,237] - INFO: Epoch 1801/9999, Iter 180000: Loss = 0.015429788269102573, lr = [5e-05] +[2024-05-25 20:59:40,526] - INFO: Epoch 1801/9999, Iter 180040: Loss = 0.010129997506737709, lr = [5e-05] +[2024-05-25 21:00:07,771] - INFO: Epoch 1801/9999, Iter 180080: Loss = 0.014823711477220058, lr = [5e-05] +[2024-05-25 21:00:36,423] - INFO: Epoch 1802/9999, Iter 180120: Loss = 0.01562603749334812, lr = [5e-05] +[2024-05-25 21:01:03,659] - INFO: Epoch 1802/9999, Iter 180160: Loss = 0.01621626690030098, lr = [5e-05] +[2024-05-25 21:01:32,238] - INFO: Epoch 1803/9999, Iter 180200: Loss = 0.009424270130693913, lr = [5e-05] +[2024-05-25 21:01:59,543] - INFO: Epoch 1803/9999, Iter 180240: Loss = 0.011369341053068638, lr = [5e-05] +[2024-05-25 21:02:26,753] - INFO: Epoch 1803/9999, Iter 180280: Loss = 0.011138792149722576, lr = [5e-05] +[2024-05-25 21:02:55,332] - INFO: Epoch 1804/9999, Iter 180320: Loss = 0.012341118417680264, lr = [5e-05] +[2024-05-25 21:03:22,513] - INFO: Epoch 1804/9999, Iter 180360: Loss = 0.013201447203755379, lr = [5e-05] +[2024-05-25 21:03:51,010] - INFO: Epoch 1805/9999, Iter 180400: Loss = 0.013001929968595505, lr = [5e-05] +[2024-05-25 21:04:18,370] - INFO: Epoch 1805/9999, Iter 180440: Loss = 0.012588441371917725, lr = [5e-05] +[2024-05-25 21:04:45,651] - INFO: Epoch 1805/9999, Iter 180480: Loss = 0.012479984201490879, lr = [5e-05] +[2024-05-25 21:04:58,930] - INFO: Evaluate at epoch 1805! +[2024-05-25 21:05:03,552] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 21:05:03,553] - INFO: Eval PSNR (current): 38.128 (1805) SSIM (current): 0.9613 (1805) +[2024-05-25 21:05:03,553] - INFO: Evaluation over. +[2024-05-25 21:05:23,946] - INFO: Epoch 1806/9999, Iter 180520: Loss = 0.0061845979653298855, lr = [5e-05] +[2024-05-25 21:05:51,081] - INFO: Epoch 1806/9999, Iter 180560: Loss = 0.012201780453324318, lr = [5e-05] +[2024-05-25 21:06:19,784] - INFO: Epoch 1807/9999, Iter 180600: Loss = 0.008952531963586807, lr = [5e-05] +[2024-05-25 21:06:47,072] - INFO: Epoch 1807/9999, Iter 180640: Loss = 0.013018595054745674, lr = [5e-05] +[2024-05-25 21:07:14,285] - INFO: Epoch 1807/9999, Iter 180680: Loss = 0.011908922344446182, lr = [5e-05] +[2024-05-25 21:07:43,019] - INFO: Epoch 1808/9999, Iter 180720: Loss = 0.017765190452337265, lr = [5e-05] +[2024-05-25 21:08:10,253] - INFO: Epoch 1808/9999, Iter 180760: Loss = 0.016474779695272446, lr = [5e-05] +[2024-05-25 21:08:38,974] - INFO: Epoch 1809/9999, Iter 180800: Loss = 0.011073417961597443, lr = [5e-05] +[2024-05-25 21:09:06,340] - INFO: Epoch 1809/9999, Iter 180840: Loss = 0.014269177801907063, lr = [5e-05] +[2024-05-25 21:09:33,599] - INFO: Epoch 1809/9999, Iter 180880: Loss = 0.01327277347445488, lr = [5e-05] +[2024-05-25 21:10:02,184] - INFO: Epoch 1810/9999, Iter 180920: Loss = 0.01647087000310421, lr = [5e-05] +[2024-05-25 21:10:29,348] - INFO: Epoch 1810/9999, Iter 180960: Loss = 0.011907604523003101, lr = [5e-05] +[2024-05-25 21:10:56,260] - INFO: Evaluate at epoch 1810! +[2024-05-25 21:11:00,935] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 21:11:00,936] - INFO: Eval PSNR (current): 38.122 (1810) SSIM (current): 0.9612 (1810) +[2024-05-25 21:11:00,936] - INFO: Evaluation over. +[2024-05-25 21:11:07,662] - INFO: Epoch 1811/9999, Iter 181000: Loss = 0.013062559068202972, lr = [5e-05] +[2024-05-25 21:11:34,960] - INFO: Epoch 1811/9999, Iter 181040: Loss = 0.010046237148344517, lr = [5e-05] +[2024-05-25 21:12:02,143] - INFO: Epoch 1811/9999, Iter 181080: Loss = 0.006269383244216442, lr = [5e-05] +[2024-05-25 21:12:30,894] - INFO: Epoch 1812/9999, Iter 181120: Loss = 0.00680137611925602, lr = [5e-05] +[2024-05-25 21:12:58,119] - INFO: Epoch 1812/9999, Iter 181160: Loss = 0.008687896654009819, lr = [5e-05] +[2024-05-25 21:13:26,717] - INFO: Epoch 1813/9999, Iter 181200: Loss = 0.008430222980678082, lr = [5e-05] +[2024-05-25 21:13:54,040] - INFO: Epoch 1813/9999, Iter 181240: Loss = 0.012094021774828434, lr = [5e-05] +[2024-05-25 21:14:21,254] - INFO: Epoch 1813/9999, Iter 181280: Loss = 0.007455762010067701, lr = [5e-05] +[2024-05-25 21:14:50,213] - INFO: Epoch 1814/9999, Iter 181320: Loss = 0.01999095268547535, lr = [5e-05] +[2024-05-25 21:15:17,465] - INFO: Epoch 1814/9999, Iter 181360: Loss = 0.015456033870577812, lr = [5e-05] +[2024-05-25 21:15:45,935] - INFO: Epoch 1815/9999, Iter 181400: Loss = 0.012185836210846901, lr = [5e-05] +[2024-05-25 21:16:13,189] - INFO: Epoch 1815/9999, Iter 181440: Loss = 0.01404649019241333, lr = [5e-05] +[2024-05-25 21:16:40,403] - INFO: Epoch 1815/9999, Iter 181480: Loss = 0.010721150785684586, lr = [5e-05] +[2024-05-25 21:16:53,711] - INFO: Evaluate at epoch 1815! +[2024-05-25 21:16:58,338] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 21:16:58,338] - INFO: Eval PSNR (current): 38.119 (1815) SSIM (current): 0.9613 (1815) +[2024-05-25 21:16:58,338] - INFO: Evaluation over. +[2024-05-25 21:17:18,635] - INFO: Epoch 1816/9999, Iter 181520: Loss = 0.011153963394463062, lr = [5e-05] +[2024-05-25 21:17:45,875] - INFO: Epoch 1816/9999, Iter 181560: Loss = 0.011122197844088078, lr = [5e-05] +[2024-05-25 21:18:14,630] - INFO: Epoch 1817/9999, Iter 181600: Loss = 0.011008077301084995, lr = [5e-05] +[2024-05-25 21:18:41,978] - INFO: Epoch 1817/9999, Iter 181640: Loss = 0.012764142826199532, lr = [5e-05] +[2024-05-25 21:19:09,184] - INFO: Epoch 1817/9999, Iter 181680: Loss = 0.0142223434522748, lr = [5e-05] +[2024-05-25 21:19:37,586] - INFO: Epoch 1818/9999, Iter 181720: Loss = 0.018231717869639397, lr = [5e-05] +[2024-05-25 21:20:04,790] - INFO: Epoch 1818/9999, Iter 181760: Loss = 0.023129520937800407, lr = [5e-05] +[2024-05-25 21:20:33,540] - INFO: Epoch 1819/9999, Iter 181800: Loss = 0.0092324772849679, lr = [5e-05] +[2024-05-25 21:21:00,875] - INFO: Epoch 1819/9999, Iter 181840: Loss = 0.01917392760515213, lr = [5e-05] +[2024-05-25 21:21:28,044] - INFO: Epoch 1819/9999, Iter 181880: Loss = 0.01191973127424717, lr = [5e-05] +[2024-05-25 21:21:56,618] - INFO: Epoch 1820/9999, Iter 181920: Loss = 0.011964322999119759, lr = [5e-05] +[2024-05-25 21:22:23,799] - INFO: Epoch 1820/9999, Iter 181960: Loss = 0.012596247717738152, lr = [5e-05] +[2024-05-25 21:22:50,750] - INFO: Evaluate at epoch 1820! +[2024-05-25 21:22:55,441] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 21:22:55,442] - INFO: Eval PSNR (current): 38.091 (1820) SSIM (current): 0.9612 (1820) +[2024-05-25 21:22:55,442] - INFO: Evaluation over. +[2024-05-25 21:23:02,281] - INFO: Epoch 1821/9999, Iter 182000: Loss = 0.01831371895968914, lr = [5e-05] +[2024-05-25 21:23:29,643] - INFO: Epoch 1821/9999, Iter 182040: Loss = 0.009054618887603283, lr = [5e-05] +[2024-05-25 21:23:56,834] - INFO: Epoch 1821/9999, Iter 182080: Loss = 0.011674854904413223, lr = [5e-05] +[2024-05-25 21:24:25,439] - INFO: Epoch 1822/9999, Iter 182120: Loss = 0.01111843902617693, lr = [5e-05] +[2024-05-25 21:24:52,649] - INFO: Epoch 1822/9999, Iter 182160: Loss = 0.009460550732910633, lr = [5e-05] +[2024-05-25 21:25:21,256] - INFO: Epoch 1823/9999, Iter 182200: Loss = 0.017383793368935585, lr = [5e-05] +[2024-05-25 21:25:48,581] - INFO: Epoch 1823/9999, Iter 182240: Loss = 0.009057850576937199, lr = [5e-05] +[2024-05-25 21:26:15,818] - INFO: Epoch 1823/9999, Iter 182280: Loss = 0.01627049222588539, lr = [5e-05] +[2024-05-25 21:26:44,487] - INFO: Epoch 1824/9999, Iter 182320: Loss = 0.009400474838912487, lr = [5e-05] +[2024-05-25 21:27:11,648] - INFO: Epoch 1824/9999, Iter 182360: Loss = 0.025648973882198334, lr = [5e-05] +[2024-05-25 21:27:40,408] - INFO: Epoch 1825/9999, Iter 182400: Loss = 0.012898586690425873, lr = [5e-05] +[2024-05-25 21:28:07,759] - INFO: Epoch 1825/9999, Iter 182440: Loss = 0.015504837036132812, lr = [5e-05] +[2024-05-25 21:28:34,936] - INFO: Epoch 1825/9999, Iter 182480: Loss = 0.008144753985106945, lr = [5e-05] +[2024-05-25 21:28:48,233] - INFO: Evaluate at epoch 1825! +[2024-05-25 21:28:58,489] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:28:58,489] - INFO: Eval PSNR (current): 38.138 (1825) SSIM (current): 0.9613 (1825) +[2024-05-25 21:28:58,489] - INFO: Evaluation over. +[2024-05-25 21:29:19,012] - INFO: Epoch 1826/9999, Iter 182520: Loss = 0.008818704634904861, lr = [5e-05] +[2024-05-25 21:29:46,185] - INFO: Epoch 1826/9999, Iter 182560: Loss = 0.012339706532657146, lr = [5e-05] +[2024-05-25 21:30:14,726] - INFO: Epoch 1827/9999, Iter 182600: Loss = 0.0071052429266273975, lr = [5e-05] +[2024-05-25 21:30:41,990] - INFO: Epoch 1827/9999, Iter 182640: Loss = 0.011696593835949898, lr = [5e-05] +[2024-05-25 21:31:09,238] - INFO: Epoch 1827/9999, Iter 182680: Loss = 0.013626419007778168, lr = [5e-05] +[2024-05-25 21:31:37,888] - INFO: Epoch 1828/9999, Iter 182720: Loss = 0.0097823366522789, lr = [5e-05] +[2024-05-25 21:32:05,110] - INFO: Epoch 1828/9999, Iter 182760: Loss = 0.007364341523498297, lr = [5e-05] +[2024-05-25 21:32:33,709] - INFO: Epoch 1829/9999, Iter 182800: Loss = 0.009938216768205166, lr = [5e-05] +[2024-05-25 21:33:01,087] - INFO: Epoch 1829/9999, Iter 182840: Loss = 0.011576356366276741, lr = [5e-05] +[2024-05-25 21:33:28,299] - INFO: Epoch 1829/9999, Iter 182880: Loss = 0.021022506058216095, lr = [5e-05] +[2024-05-25 21:33:57,005] - INFO: Epoch 1830/9999, Iter 182920: Loss = 0.021481191739439964, lr = [5e-05] +[2024-05-25 21:34:24,262] - INFO: Epoch 1830/9999, Iter 182960: Loss = 0.01909988559782505, lr = [5e-05] +[2024-05-25 21:34:51,173] - INFO: Evaluate at epoch 1830! +[2024-05-25 21:34:55,801] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:34:55,801] - INFO: Eval PSNR (current): 38.033 (1830) SSIM (current): 0.9611 (1830) +[2024-05-25 21:34:55,801] - INFO: Evaluation over. +[2024-05-25 21:35:02,624] - INFO: Epoch 1831/9999, Iter 183000: Loss = 0.010185642167925835, lr = [5e-05] +[2024-05-25 21:35:29,887] - INFO: Epoch 1831/9999, Iter 183040: Loss = 0.00818527489900589, lr = [5e-05] +[2024-05-25 21:35:57,155] - INFO: Epoch 1831/9999, Iter 183080: Loss = 0.012373946607112885, lr = [5e-05] +[2024-05-25 21:36:25,890] - INFO: Epoch 1832/9999, Iter 183120: Loss = 0.013370377011597157, lr = [5e-05] +[2024-05-25 21:36:53,098] - INFO: Epoch 1832/9999, Iter 183160: Loss = 0.0058924793265759945, lr = [5e-05] +[2024-05-25 21:37:21,769] - INFO: Epoch 1833/9999, Iter 183200: Loss = 0.012615669518709183, lr = [5e-05] +[2024-05-25 21:37:49,205] - INFO: Epoch 1833/9999, Iter 183240: Loss = 0.007503915578126907, lr = [5e-05] +[2024-05-25 21:38:16,338] - INFO: Epoch 1833/9999, Iter 183280: Loss = 0.011784541420638561, lr = [5e-05] +[2024-05-25 21:38:44,936] - INFO: Epoch 1834/9999, Iter 183320: Loss = 0.011181455105543137, lr = [5e-05] +[2024-05-25 21:39:12,159] - INFO: Epoch 1834/9999, Iter 183360: Loss = 0.01243435125797987, lr = [5e-05] +[2024-05-25 21:39:40,693] - INFO: Epoch 1835/9999, Iter 183400: Loss = 0.01926703006029129, lr = [5e-05] +[2024-05-25 21:40:07,999] - INFO: Epoch 1835/9999, Iter 183440: Loss = 0.017853617668151855, lr = [5e-05] +[2024-05-25 21:40:35,168] - INFO: Epoch 1835/9999, Iter 183480: Loss = 0.012677287682890892, lr = [5e-05] +[2024-05-25 21:40:48,494] - INFO: Evaluate at epoch 1835! +[2024-05-25 21:40:53,017] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:40:53,017] - INFO: Eval PSNR (current): 38.073 (1835) SSIM (current): 0.9612 (1835) +[2024-05-25 21:40:53,017] - INFO: Evaluation over. +[2024-05-25 21:41:13,465] - INFO: Epoch 1836/9999, Iter 183520: Loss = 0.014996747486293316, lr = [5e-05] +[2024-05-25 21:41:40,644] - INFO: Epoch 1836/9999, Iter 183560: Loss = 0.02204406075179577, lr = [5e-05] +[2024-05-25 21:42:09,158] - INFO: Epoch 1837/9999, Iter 183600: Loss = 0.006191376131027937, lr = [5e-05] +[2024-05-25 21:42:36,423] - INFO: Epoch 1837/9999, Iter 183640: Loss = 0.01890452951192856, lr = [5e-05] +[2024-05-25 21:43:03,620] - INFO: Epoch 1837/9999, Iter 183680: Loss = 0.007348239421844482, lr = [5e-05] +[2024-05-25 21:43:32,330] - INFO: Epoch 1838/9999, Iter 183720: Loss = 0.020167579874396324, lr = [5e-05] +[2024-05-25 21:43:59,583] - INFO: Epoch 1838/9999, Iter 183760: Loss = 0.007041798904538155, lr = [5e-05] +[2024-05-25 21:44:28,222] - INFO: Epoch 1839/9999, Iter 183800: Loss = 0.0049022589810192585, lr = [5e-05] +[2024-05-25 21:44:55,548] - INFO: Epoch 1839/9999, Iter 183840: Loss = 0.010317623615264893, lr = [5e-05] +[2024-05-25 21:45:22,756] - INFO: Epoch 1839/9999, Iter 183880: Loss = 0.009888258762657642, lr = [5e-05] +[2024-05-25 21:45:51,554] - INFO: Epoch 1840/9999, Iter 183920: Loss = 0.024742666631937027, lr = [5e-05] +[2024-05-25 21:46:18,758] - INFO: Epoch 1840/9999, Iter 183960: Loss = 0.01063399389386177, lr = [5e-05] +[2024-05-25 21:46:45,664] - INFO: Evaluate at epoch 1840! +[2024-05-25 21:46:50,316] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:46:50,316] - INFO: Eval PSNR (current): 38.031 (1840) SSIM (current): 0.9611 (1840) +[2024-05-25 21:46:50,316] - INFO: Evaluation over. +[2024-05-25 21:46:57,279] - INFO: Epoch 1841/9999, Iter 184000: Loss = 0.012399465776979923, lr = [5e-05] +[2024-05-25 21:47:24,547] - INFO: Epoch 1841/9999, Iter 184040: Loss = 0.009246732108294964, lr = [5e-05] +[2024-05-25 21:47:51,727] - INFO: Epoch 1841/9999, Iter 184080: Loss = 0.01070654857903719, lr = [5e-05] +[2024-05-25 21:48:20,306] - INFO: Epoch 1842/9999, Iter 184120: Loss = 0.010293793864548206, lr = [5e-05] +[2024-05-25 21:48:47,513] - INFO: Epoch 1842/9999, Iter 184160: Loss = 0.0124270124360919, lr = [5e-05] +[2024-05-25 21:49:16,229] - INFO: Epoch 1843/9999, Iter 184200: Loss = 0.018758142367005348, lr = [5e-05] +[2024-05-25 21:49:43,514] - INFO: Epoch 1843/9999, Iter 184240: Loss = 0.011876488104462624, lr = [5e-05] +[2024-05-25 21:50:10,705] - INFO: Epoch 1843/9999, Iter 184280: Loss = 0.007051935885101557, lr = [5e-05] +[2024-05-25 21:50:39,292] - INFO: Epoch 1844/9999, Iter 184320: Loss = 0.014108260162174702, lr = [5e-05] +[2024-05-25 21:51:06,539] - INFO: Epoch 1844/9999, Iter 184360: Loss = 0.010730445384979248, lr = [5e-05] +[2024-05-25 21:51:34,933] - INFO: Epoch 1845/9999, Iter 184400: Loss = 0.015811311081051826, lr = [5e-05] +[2024-05-25 21:52:02,263] - INFO: Epoch 1845/9999, Iter 184440: Loss = 0.022802993655204773, lr = [5e-05] +[2024-05-25 21:52:29,508] - INFO: Epoch 1845/9999, Iter 184480: Loss = 0.012051367200911045, lr = [5e-05] +[2024-05-25 21:52:42,782] - INFO: Evaluate at epoch 1845! +[2024-05-25 21:52:47,586] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:52:47,586] - INFO: Eval PSNR (current): 38.101 (1845) SSIM (current): 0.9612 (1845) +[2024-05-25 21:52:47,586] - INFO: Evaluation over. +[2024-05-25 21:53:08,040] - INFO: Epoch 1846/9999, Iter 184520: Loss = 0.018584247678518295, lr = [5e-05] +[2024-05-25 21:53:35,289] - INFO: Epoch 1846/9999, Iter 184560: Loss = 0.01145129930227995, lr = [5e-05] +[2024-05-25 21:54:03,929] - INFO: Epoch 1847/9999, Iter 184600: Loss = 0.013508847914636135, lr = [5e-05] +[2024-05-25 21:54:31,201] - INFO: Epoch 1847/9999, Iter 184640: Loss = 0.007086219731718302, lr = [5e-05] +[2024-05-25 21:54:58,464] - INFO: Epoch 1847/9999, Iter 184680: Loss = 0.01871006190776825, lr = [5e-05] +[2024-05-25 21:55:27,070] - INFO: Epoch 1848/9999, Iter 184720: Loss = 0.014849417842924595, lr = [5e-05] +[2024-05-25 21:55:54,287] - INFO: Epoch 1848/9999, Iter 184760: Loss = 0.015703978016972542, lr = [5e-05] +[2024-05-25 21:56:22,624] - INFO: Epoch 1849/9999, Iter 184800: Loss = 0.009504278190433979, lr = [5e-05] +[2024-05-25 21:56:49,944] - INFO: Epoch 1849/9999, Iter 184840: Loss = 0.01580335572361946, lr = [5e-05] +[2024-05-25 21:57:17,141] - INFO: Epoch 1849/9999, Iter 184880: Loss = 0.010390257462859154, lr = [5e-05] +[2024-05-25 21:57:45,774] - INFO: Epoch 1850/9999, Iter 184920: Loss = 0.01829894259572029, lr = [5e-05] +[2024-05-25 21:58:13,001] - INFO: Epoch 1850/9999, Iter 184960: Loss = 0.014980660751461983, lr = [5e-05] +[2024-05-25 21:58:39,930] - INFO: Evaluate at epoch 1850! +[2024-05-25 21:58:44,493] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:58:44,493] - INFO: Eval PSNR (current): 38.110 (1850) SSIM (current): 0.9613 (1850) +[2024-05-25 21:58:44,493] - INFO: Evaluation over. +[2024-05-25 21:58:51,337] - INFO: Epoch 1851/9999, Iter 185000: Loss = 0.009786735288798809, lr = [5e-05] +[2024-05-25 21:59:18,629] - INFO: Epoch 1851/9999, Iter 185040: Loss = 0.007814465090632439, lr = [5e-05] +[2024-05-25 21:59:45,883] - INFO: Epoch 1851/9999, Iter 185080: Loss = 0.013432604260742664, lr = [5e-05] +[2024-05-25 22:00:14,527] - INFO: Epoch 1852/9999, Iter 185120: Loss = 0.01751977950334549, lr = [5e-05] +[2024-05-25 22:00:41,697] - INFO: Epoch 1852/9999, Iter 185160: Loss = 0.008437580429017544, lr = [5e-05] +[2024-05-25 22:01:10,152] - INFO: Epoch 1853/9999, Iter 185200: Loss = 0.015953591093420982, lr = [5e-05] +[2024-05-25 22:01:37,551] - INFO: Epoch 1853/9999, Iter 185240: Loss = 0.008465167135000229, lr = [5e-05] +[2024-05-25 22:02:04,729] - INFO: Epoch 1853/9999, Iter 185280: Loss = 0.014291071332991123, lr = [5e-05] +[2024-05-25 22:02:33,528] - INFO: Epoch 1854/9999, Iter 185320: Loss = 0.012871623039245605, lr = [5e-05] +[2024-05-25 22:03:00,743] - INFO: Epoch 1854/9999, Iter 185360: Loss = 0.009745107032358646, lr = [5e-05] +[2024-05-25 22:03:29,412] - INFO: Epoch 1855/9999, Iter 185400: Loss = 0.00738429045304656, lr = [5e-05] +[2024-05-25 22:03:56,726] - INFO: Epoch 1855/9999, Iter 185440: Loss = 0.010767548345029354, lr = [5e-05] +[2024-05-25 22:04:23,886] - INFO: Epoch 1855/9999, Iter 185480: Loss = 0.012016983702778816, lr = [5e-05] +[2024-05-25 22:04:37,180] - INFO: Evaluate at epoch 1855! +[2024-05-25 22:04:47,585] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:04:47,586] - INFO: Eval PSNR (current): 38.142 (1855) SSIM (current): 0.9613 (1855) +[2024-05-25 22:04:47,586] - INFO: Evaluation over. +[2024-05-25 22:05:08,045] - INFO: Epoch 1856/9999, Iter 185520: Loss = 0.007393202744424343, lr = [5e-05] +[2024-05-25 22:05:35,228] - INFO: Epoch 1856/9999, Iter 185560: Loss = 0.012780489400029182, lr = [5e-05] +[2024-05-25 22:06:03,928] - INFO: Epoch 1857/9999, Iter 185600: Loss = 0.011220688931643963, lr = [5e-05] +[2024-05-25 22:06:31,244] - INFO: Epoch 1857/9999, Iter 185640: Loss = 0.007959523238241673, lr = [5e-05] +[2024-05-25 22:06:58,532] - INFO: Epoch 1857/9999, Iter 185680: Loss = 0.013124785386025906, lr = [5e-05] +[2024-05-25 22:07:27,193] - INFO: Epoch 1858/9999, Iter 185720: Loss = 0.02023913897573948, lr = [5e-05] +[2024-05-25 22:07:54,422] - INFO: Epoch 1858/9999, Iter 185760: Loss = 0.009800942614674568, lr = [5e-05] +[2024-05-25 22:08:22,986] - INFO: Epoch 1859/9999, Iter 185800: Loss = 0.005713353399187326, lr = [5e-05] +[2024-05-25 22:08:50,291] - INFO: Epoch 1859/9999, Iter 185840: Loss = 0.017910871654748917, lr = [5e-05] +[2024-05-25 22:09:17,562] - INFO: Epoch 1859/9999, Iter 185880: Loss = 0.015996800735592842, lr = [5e-05] +[2024-05-25 22:09:46,316] - INFO: Epoch 1860/9999, Iter 185920: Loss = 0.008876847103238106, lr = [5e-05] +[2024-05-25 22:10:13,524] - INFO: Epoch 1860/9999, Iter 185960: Loss = 0.015064757317304611, lr = [5e-05] +[2024-05-25 22:10:40,503] - INFO: Evaluate at epoch 1860! +[2024-05-25 22:10:45,014] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:10:45,014] - INFO: Eval PSNR (current): 38.086 (1860) SSIM (current): 0.9611 (1860) +[2024-05-25 22:10:45,014] - INFO: Evaluation over. +[2024-05-25 22:10:51,786] - INFO: Epoch 1861/9999, Iter 186000: Loss = 0.015767903998494148, lr = [5e-05] +[2024-05-25 22:11:19,191] - INFO: Epoch 1861/9999, Iter 186040: Loss = 0.013175754807889462, lr = [5e-05] +[2024-05-25 22:11:46,409] - INFO: Epoch 1861/9999, Iter 186080: Loss = 0.013501445762813091, lr = [5e-05] +[2024-05-25 22:12:15,082] - INFO: Epoch 1862/9999, Iter 186120: Loss = 0.010227717459201813, lr = [5e-05] +[2024-05-25 22:12:42,319] - INFO: Epoch 1862/9999, Iter 186160: Loss = 0.00943162851035595, lr = [5e-05] +[2024-05-25 22:13:10,840] - INFO: Epoch 1863/9999, Iter 186200: Loss = 0.010168887674808502, lr = [5e-05] +[2024-05-25 22:13:38,105] - INFO: Epoch 1863/9999, Iter 186240: Loss = 0.008784548379480839, lr = [5e-05] +[2024-05-25 22:14:05,299] - INFO: Epoch 1863/9999, Iter 186280: Loss = 0.011299175210297108, lr = [5e-05] +[2024-05-25 22:14:34,056] - INFO: Epoch 1864/9999, Iter 186320: Loss = 0.013503254391252995, lr = [5e-05] +[2024-05-25 22:15:01,267] - INFO: Epoch 1864/9999, Iter 186360: Loss = 0.01211998239159584, lr = [5e-05] +[2024-05-25 22:15:29,751] - INFO: Epoch 1865/9999, Iter 186400: Loss = 0.009936436079442501, lr = [5e-05] +[2024-05-25 22:15:57,047] - INFO: Epoch 1865/9999, Iter 186440: Loss = 0.012791609391570091, lr = [5e-05] +[2024-05-25 22:16:24,315] - INFO: Epoch 1865/9999, Iter 186480: Loss = 0.014599579386413097, lr = [5e-05] +[2024-05-25 22:16:37,585] - INFO: Evaluate at epoch 1865! +[2024-05-25 22:16:42,107] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:16:42,107] - INFO: Eval PSNR (current): 38.141 (1865) SSIM (current): 0.9613 (1865) +[2024-05-25 22:16:42,107] - INFO: Evaluation over. +[2024-05-25 22:17:02,699] - INFO: Epoch 1866/9999, Iter 186520: Loss = 0.02052365057170391, lr = [5e-05] +[2024-05-25 22:17:29,860] - INFO: Epoch 1866/9999, Iter 186560: Loss = 0.01259737741202116, lr = [5e-05] +[2024-05-25 22:17:58,413] - INFO: Epoch 1867/9999, Iter 186600: Loss = 0.009691568091511726, lr = [5e-05] +[2024-05-25 22:18:25,664] - INFO: Epoch 1867/9999, Iter 186640: Loss = 0.013216317631304264, lr = [5e-05] +[2024-05-25 22:18:52,843] - INFO: Epoch 1867/9999, Iter 186680: Loss = 0.01219435315579176, lr = [5e-05] +[2024-05-25 22:19:21,480] - INFO: Epoch 1868/9999, Iter 186720: Loss = 0.015254097990691662, lr = [5e-05] +[2024-05-25 22:19:48,690] - INFO: Epoch 1868/9999, Iter 186760: Loss = 0.00997292809188366, lr = [5e-05] +[2024-05-25 22:20:17,205] - INFO: Epoch 1869/9999, Iter 186800: Loss = 0.012194613926112652, lr = [5e-05] +[2024-05-25 22:20:44,565] - INFO: Epoch 1869/9999, Iter 186840: Loss = 0.013979563489556313, lr = [5e-05] +[2024-05-25 22:21:11,701] - INFO: Epoch 1869/9999, Iter 186880: Loss = 0.011487080715596676, lr = [5e-05] +[2024-05-25 22:21:40,372] - INFO: Epoch 1870/9999, Iter 186920: Loss = 0.010195840150117874, lr = [5e-05] +[2024-05-25 22:22:07,519] - INFO: Epoch 1870/9999, Iter 186960: Loss = 0.011141370981931686, lr = [5e-05] +[2024-05-25 22:22:34,445] - INFO: Evaluate at epoch 1870! +[2024-05-25 22:22:38,972] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:22:38,972] - INFO: Eval PSNR (current): 38.116 (1870) SSIM (current): 0.9613 (1870) +[2024-05-25 22:22:38,972] - INFO: Evaluation over. +[2024-05-25 22:22:45,882] - INFO: Epoch 1871/9999, Iter 187000: Loss = 0.009378232061862946, lr = [5e-05] +[2024-05-25 22:23:13,142] - INFO: Epoch 1871/9999, Iter 187040: Loss = 0.009700862690806389, lr = [5e-05] +[2024-05-25 22:23:40,345] - INFO: Epoch 1871/9999, Iter 187080: Loss = 0.011255412362515926, lr = [5e-05] +[2024-05-25 22:24:09,329] - INFO: Epoch 1872/9999, Iter 187120: Loss = 0.014092708006501198, lr = [5e-05] +[2024-05-25 22:24:36,512] - INFO: Epoch 1872/9999, Iter 187160: Loss = 0.00799441710114479, lr = [5e-05] +[2024-05-25 22:25:05,157] - INFO: Epoch 1873/9999, Iter 187200: Loss = 0.01903678849339485, lr = [5e-05] +[2024-05-25 22:25:32,608] - INFO: Epoch 1873/9999, Iter 187240: Loss = 0.013306672684848309, lr = [5e-05] +[2024-05-25 22:25:59,790] - INFO: Epoch 1873/9999, Iter 187280: Loss = 0.018162507563829422, lr = [5e-05] +[2024-05-25 22:26:28,422] - INFO: Epoch 1874/9999, Iter 187320: Loss = 0.013298749923706055, lr = [5e-05] +[2024-05-25 22:26:55,623] - INFO: Epoch 1874/9999, Iter 187360: Loss = 0.01739897020161152, lr = [5e-05] +[2024-05-25 22:27:24,109] - INFO: Epoch 1875/9999, Iter 187400: Loss = 0.01652310974895954, lr = [5e-05] +[2024-05-25 22:27:51,387] - INFO: Epoch 1875/9999, Iter 187440: Loss = 0.016127655282616615, lr = [5e-05] +[2024-05-25 22:28:18,607] - INFO: Epoch 1875/9999, Iter 187480: Loss = 0.01255946233868599, lr = [5e-05] +[2024-05-25 22:28:31,872] - INFO: Evaluate at epoch 1875! +[2024-05-25 22:28:36,583] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:28:36,583] - INFO: Eval PSNR (current): 38.088 (1875) SSIM (current): 0.9613 (1875) +[2024-05-25 22:28:36,583] - INFO: Evaluation over. +[2024-05-25 22:28:57,016] - INFO: Epoch 1876/9999, Iter 187520: Loss = 0.01921861432492733, lr = [5e-05] +[2024-05-25 22:29:24,181] - INFO: Epoch 1876/9999, Iter 187560: Loss = 0.012519815936684608, lr = [5e-05] +[2024-05-25 22:29:52,695] - INFO: Epoch 1877/9999, Iter 187600: Loss = 0.005798136815428734, lr = [5e-05] +[2024-05-25 22:30:19,986] - INFO: Epoch 1877/9999, Iter 187640: Loss = 0.006713717244565487, lr = [5e-05] +[2024-05-25 22:30:47,257] - INFO: Epoch 1877/9999, Iter 187680: Loss = 0.0141854677349329, lr = [5e-05] +[2024-05-25 22:31:15,862] - INFO: Epoch 1878/9999, Iter 187720: Loss = 0.008124752901494503, lr = [5e-05] +[2024-05-25 22:31:43,082] - INFO: Epoch 1878/9999, Iter 187760: Loss = 0.01625773310661316, lr = [5e-05] +[2024-05-25 22:32:11,858] - INFO: Epoch 1879/9999, Iter 187800: Loss = 0.011675320565700531, lr = [5e-05] +[2024-05-25 22:32:39,248] - INFO: Epoch 1879/9999, Iter 187840: Loss = 0.0085635706782341, lr = [5e-05] +[2024-05-25 22:33:06,484] - INFO: Epoch 1879/9999, Iter 187880: Loss = 0.02014242671430111, lr = [5e-05] +[2024-05-25 22:33:35,169] - INFO: Epoch 1880/9999, Iter 187920: Loss = 0.01425953209400177, lr = [5e-05] +[2024-05-25 22:34:02,394] - INFO: Epoch 1880/9999, Iter 187960: Loss = 0.011232474818825722, lr = [5e-05] +[2024-05-25 22:34:29,294] - INFO: Evaluate at epoch 1880! +[2024-05-25 22:34:33,873] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:34:33,873] - INFO: Eval PSNR (current): 38.087 (1880) SSIM (current): 0.9612 (1880) +[2024-05-25 22:34:33,873] - INFO: Evaluation over. +[2024-05-25 22:34:40,817] - INFO: Epoch 1881/9999, Iter 188000: Loss = 0.016855141147971153, lr = [5e-05] +[2024-05-25 22:35:08,254] - INFO: Epoch 1881/9999, Iter 188040: Loss = 0.007751597557216883, lr = [5e-05] +[2024-05-25 22:35:35,477] - INFO: Epoch 1881/9999, Iter 188080: Loss = 0.010714495554566383, lr = [5e-05] +[2024-05-25 22:36:04,051] - INFO: Epoch 1882/9999, Iter 188120: Loss = 0.007926520891487598, lr = [5e-05] +[2024-05-25 22:36:31,337] - INFO: Epoch 1882/9999, Iter 188160: Loss = 0.019708139821887016, lr = [5e-05] +[2024-05-25 22:36:59,852] - INFO: Epoch 1883/9999, Iter 188200: Loss = 0.014753264375030994, lr = [5e-05] +[2024-05-25 22:37:27,299] - INFO: Epoch 1883/9999, Iter 188240: Loss = 0.027979299426078796, lr = [5e-05] +[2024-05-25 22:37:54,514] - INFO: Epoch 1883/9999, Iter 188280: Loss = 0.012281705625355244, lr = [5e-05] +[2024-05-25 22:38:23,042] - INFO: Epoch 1884/9999, Iter 188320: Loss = 0.02932904101908207, lr = [5e-05] +[2024-05-25 22:38:50,241] - INFO: Epoch 1884/9999, Iter 188360: Loss = 0.01415231078863144, lr = [5e-05] +[2024-05-25 22:39:18,926] - INFO: Epoch 1885/9999, Iter 188400: Loss = 0.013143093325197697, lr = [5e-05] +[2024-05-25 22:39:46,250] - INFO: Epoch 1885/9999, Iter 188440: Loss = 0.014796614646911621, lr = [5e-05] +[2024-05-25 22:40:13,445] - INFO: Epoch 1885/9999, Iter 188480: Loss = 0.011812567710876465, lr = [5e-05] +[2024-05-25 22:40:26,732] - INFO: Evaluate at epoch 1885! +[2024-05-25 22:40:31,366] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:40:31,367] - INFO: Eval PSNR (current): 38.099 (1885) SSIM (current): 0.9611 (1885) +[2024-05-25 22:40:31,367] - INFO: Evaluation over. +[2024-05-25 22:40:51,735] - INFO: Epoch 1886/9999, Iter 188520: Loss = 0.009909666143357754, lr = [5e-05] +[2024-05-25 22:41:18,939] - INFO: Epoch 1886/9999, Iter 188560: Loss = 0.008020464330911636, lr = [5e-05] +[2024-05-25 22:41:47,537] - INFO: Epoch 1887/9999, Iter 188600: Loss = 0.005411388352513313, lr = [5e-05] +[2024-05-25 22:42:14,895] - INFO: Epoch 1887/9999, Iter 188640: Loss = 0.007714449428021908, lr = [5e-05] +[2024-05-25 22:42:42,103] - INFO: Epoch 1887/9999, Iter 188680: Loss = 0.006034073419868946, lr = [5e-05] +[2024-05-25 22:43:10,681] - INFO: Epoch 1888/9999, Iter 188720: Loss = 0.01066205371171236, lr = [5e-05] +[2024-05-25 22:43:37,930] - INFO: Epoch 1888/9999, Iter 188760: Loss = 0.011417915113270283, lr = [5e-05] +[2024-05-25 22:44:06,662] - INFO: Epoch 1889/9999, Iter 188800: Loss = 0.029022570699453354, lr = [5e-05] +[2024-05-25 22:44:33,960] - INFO: Epoch 1889/9999, Iter 188840: Loss = 0.008698607794940472, lr = [5e-05] +[2024-05-25 22:45:01,113] - INFO: Epoch 1889/9999, Iter 188880: Loss = 0.009868321940302849, lr = [5e-05] +[2024-05-25 22:45:29,802] - INFO: Epoch 1890/9999, Iter 188920: Loss = 0.00443011149764061, lr = [5e-05] +[2024-05-25 22:45:56,998] - INFO: Epoch 1890/9999, Iter 188960: Loss = 0.02408677712082863, lr = [5e-05] +[2024-05-25 22:46:23,937] - INFO: Evaluate at epoch 1890! +[2024-05-25 22:46:28,520] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:46:28,520] - INFO: Eval PSNR (current): 38.091 (1890) SSIM (current): 0.9612 (1890) +[2024-05-25 22:46:28,520] - INFO: Evaluation over. +[2024-05-25 22:46:35,320] - INFO: Epoch 1891/9999, Iter 189000: Loss = 0.008046776987612247, lr = [5e-05] +[2024-05-25 22:47:02,615] - INFO: Epoch 1891/9999, Iter 189040: Loss = 0.011101090349256992, lr = [5e-05] +[2024-05-25 22:47:29,834] - INFO: Epoch 1891/9999, Iter 189080: Loss = 0.02073337510228157, lr = [5e-05] +[2024-05-25 22:47:58,595] - INFO: Epoch 1892/9999, Iter 189120: Loss = 0.010673102922737598, lr = [5e-05] +[2024-05-25 22:48:25,821] - INFO: Epoch 1892/9999, Iter 189160: Loss = 0.024770816788077354, lr = [5e-05] +[2024-05-25 22:48:54,449] - INFO: Epoch 1893/9999, Iter 189200: Loss = 0.01565246656537056, lr = [5e-05] +[2024-05-25 22:49:21,767] - INFO: Epoch 1893/9999, Iter 189240: Loss = 0.009988767094910145, lr = [5e-05] +[2024-05-25 22:49:48,986] - INFO: Epoch 1893/9999, Iter 189280: Loss = 0.01274178083986044, lr = [5e-05] +[2024-05-25 22:50:17,871] - INFO: Epoch 1894/9999, Iter 189320: Loss = 0.011972513981163502, lr = [5e-05] +[2024-05-25 22:50:45,110] - INFO: Epoch 1894/9999, Iter 189360: Loss = 0.015822788700461388, lr = [5e-05] +[2024-05-25 22:51:13,462] - INFO: Epoch 1895/9999, Iter 189400: Loss = 0.010297623462975025, lr = [5e-05] +[2024-05-25 22:51:40,760] - INFO: Epoch 1895/9999, Iter 189440: Loss = 0.016321144998073578, lr = [5e-05] +[2024-05-25 22:52:08,011] - INFO: Epoch 1895/9999, Iter 189480: Loss = 0.012354504317045212, lr = [5e-05] +[2024-05-25 22:52:21,485] - INFO: Evaluate at epoch 1895! +[2024-05-25 22:52:25,950] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:52:25,950] - INFO: Eval PSNR (current): 38.104 (1895) SSIM (current): 0.9612 (1895) +[2024-05-25 22:52:25,950] - INFO: Evaluation over. +[2024-05-25 22:52:46,722] - INFO: Epoch 1896/9999, Iter 189520: Loss = 0.01370131317526102, lr = [5e-05] +[2024-05-25 22:53:14,035] - INFO: Epoch 1896/9999, Iter 189560: Loss = 0.01429719291627407, lr = [5e-05] +[2024-05-25 22:53:42,678] - INFO: Epoch 1897/9999, Iter 189600: Loss = 0.016745146363973618, lr = [5e-05] +[2024-05-25 22:54:09,973] - INFO: Epoch 1897/9999, Iter 189640: Loss = 0.011230027303099632, lr = [5e-05] +[2024-05-25 22:54:37,246] - INFO: Epoch 1897/9999, Iter 189680: Loss = 0.011894338764250278, lr = [5e-05] +[2024-05-25 22:55:06,106] - INFO: Epoch 1898/9999, Iter 189720: Loss = 0.010793437249958515, lr = [5e-05] +[2024-05-25 22:55:33,332] - INFO: Epoch 1898/9999, Iter 189760: Loss = 0.012937634252011776, lr = [5e-05] +[2024-05-25 22:56:01,965] - INFO: Epoch 1899/9999, Iter 189800: Loss = 0.01566189154982567, lr = [5e-05] +[2024-05-25 22:56:29,291] - INFO: Epoch 1899/9999, Iter 189840: Loss = 0.011722490191459656, lr = [5e-05] +[2024-05-25 22:56:56,490] - INFO: Epoch 1899/9999, Iter 189880: Loss = 0.013250792399048805, lr = [5e-05] +[2024-05-25 22:57:25,107] - INFO: Epoch 1900/9999, Iter 189920: Loss = 0.014292032457888126, lr = [5e-05] +[2024-05-25 22:57:52,309] - INFO: Epoch 1900/9999, Iter 189960: Loss = 0.006757358089089394, lr = [5e-05] +[2024-05-25 22:58:19,183] - INFO: Evaluate at epoch 1900! +[2024-05-25 22:58:23,740] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:58:23,740] - INFO: Eval PSNR (current): 38.095 (1900) SSIM (current): 0.9612 (1900) +[2024-05-25 22:58:23,740] - INFO: Evaluation over. +[2024-05-25 22:58:30,393] - INFO: Epoch 1901/9999, Iter 190000: Loss = 0.015543030574917793, lr = [5e-05] +[2024-05-25 22:58:57,704] - INFO: Epoch 1901/9999, Iter 190040: Loss = 0.0070078629069030285, lr = [5e-05] +[2024-05-25 22:59:24,979] - INFO: Epoch 1901/9999, Iter 190080: Loss = 0.008762858808040619, lr = [5e-05] +[2024-05-25 22:59:53,699] - INFO: Epoch 1902/9999, Iter 190120: Loss = 0.008656833320856094, lr = [5e-05] +[2024-05-25 23:00:20,946] - INFO: Epoch 1902/9999, Iter 190160: Loss = 0.013667271472513676, lr = [5e-05] +[2024-05-25 23:00:49,544] - INFO: Epoch 1903/9999, Iter 190200: Loss = 0.004321586340665817, lr = [5e-05] +[2024-05-25 23:01:16,897] - INFO: Epoch 1903/9999, Iter 190240: Loss = 0.01303198840469122, lr = [5e-05] +[2024-05-25 23:01:44,104] - INFO: Epoch 1903/9999, Iter 190280: Loss = 0.016348980367183685, lr = [5e-05] +[2024-05-25 23:02:12,648] - INFO: Epoch 1904/9999, Iter 190320: Loss = 0.008769677951931953, lr = [5e-05] +[2024-05-25 23:02:39,823] - INFO: Epoch 1904/9999, Iter 190360: Loss = 0.010711551643908024, lr = [5e-05] +[2024-05-25 23:03:08,243] - INFO: Epoch 1905/9999, Iter 190400: Loss = 0.011003666557371616, lr = [5e-05] +[2024-05-25 23:03:35,562] - INFO: Epoch 1905/9999, Iter 190440: Loss = 0.027228180319070816, lr = [5e-05] +[2024-05-25 23:04:02,832] - INFO: Epoch 1905/9999, Iter 190480: Loss = 0.009946238249540329, lr = [5e-05] +[2024-05-25 23:04:16,144] - INFO: Evaluate at epoch 1905! +[2024-05-25 23:04:20,829] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 23:04:20,830] - INFO: Eval PSNR (current): 38.110 (1905) SSIM (current): 0.9613 (1905) +[2024-05-25 23:04:20,830] - INFO: Evaluation over. +[2024-05-25 23:04:41,203] - INFO: Epoch 1906/9999, Iter 190520: Loss = 0.017107274383306503, lr = [5e-05] +[2024-05-25 23:05:08,402] - INFO: Epoch 1906/9999, Iter 190560: Loss = 0.018036292865872383, lr = [5e-05] +[2024-05-25 23:05:36,925] - INFO: Epoch 1907/9999, Iter 190600: Loss = 0.008849802426993847, lr = [5e-05] +[2024-05-25 23:06:04,298] - INFO: Epoch 1907/9999, Iter 190640: Loss = 0.009744979441165924, lr = [5e-05] +[2024-05-25 23:06:31,529] - INFO: Epoch 1907/9999, Iter 190680: Loss = 0.013642632402479649, lr = [5e-05] +[2024-05-25 23:07:00,114] - INFO: Epoch 1908/9999, Iter 190720: Loss = 0.01182058360427618, lr = [5e-05] +[2024-05-25 23:07:27,312] - INFO: Epoch 1908/9999, Iter 190760: Loss = 0.007895479910075665, lr = [5e-05] +[2024-05-25 23:07:55,919] - INFO: Epoch 1909/9999, Iter 190800: Loss = 0.01210444699972868, lr = [5e-05] +[2024-05-25 23:08:23,146] - INFO: Epoch 1909/9999, Iter 190840: Loss = 0.01025324035435915, lr = [5e-05] +[2024-05-25 23:08:50,342] - INFO: Epoch 1909/9999, Iter 190880: Loss = 0.025252889841794968, lr = [5e-05] +[2024-05-25 23:09:18,845] - INFO: Epoch 1910/9999, Iter 190920: Loss = 0.01573566347360611, lr = [5e-05] +[2024-05-25 23:09:46,054] - INFO: Epoch 1910/9999, Iter 190960: Loss = 0.010166345164179802, lr = [5e-05] +[2024-05-25 23:10:12,973] - INFO: Evaluate at epoch 1910! +[2024-05-25 23:10:17,689] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 23:10:17,689] - INFO: Eval PSNR (current): 38.095 (1910) SSIM (current): 0.9612 (1910) +[2024-05-25 23:10:17,690] - INFO: Evaluation over. +[2024-05-25 23:10:24,396] - INFO: Epoch 1911/9999, Iter 191000: Loss = 0.02042136900126934, lr = [5e-05] +[2024-05-25 23:10:51,786] - INFO: Epoch 1911/9999, Iter 191040: Loss = 0.010442672297358513, lr = [5e-05] +[2024-05-25 23:11:19,054] - INFO: Epoch 1911/9999, Iter 191080: Loss = 0.011470021679997444, lr = [5e-05] +[2024-05-25 23:11:47,512] - INFO: Epoch 1912/9999, Iter 191120: Loss = 0.016184013336896896, lr = [5e-05] +[2024-05-25 23:12:14,648] - INFO: Epoch 1912/9999, Iter 191160: Loss = 0.02106644958257675, lr = [5e-05] +[2024-05-25 23:12:43,109] - INFO: Epoch 1913/9999, Iter 191200: Loss = 0.011317665688693523, lr = [5e-05] +[2024-05-25 23:13:10,404] - INFO: Epoch 1913/9999, Iter 191240: Loss = 0.00921786017715931, lr = [5e-05] +[2024-05-25 23:13:37,647] - INFO: Epoch 1913/9999, Iter 191280: Loss = 0.012254837900400162, lr = [5e-05] +[2024-05-25 23:14:06,100] - INFO: Epoch 1914/9999, Iter 191320: Loss = 0.015123515389859676, lr = [5e-05] +[2024-05-25 23:14:33,299] - INFO: Epoch 1914/9999, Iter 191360: Loss = 0.01546385046094656, lr = [5e-05] +[2024-05-25 23:15:01,983] - INFO: Epoch 1915/9999, Iter 191400: Loss = 0.01625772751867771, lr = [5e-05] +[2024-05-25 23:15:29,311] - INFO: Epoch 1915/9999, Iter 191440: Loss = 0.009767974726855755, lr = [5e-05] +[2024-05-25 23:15:56,573] - INFO: Epoch 1915/9999, Iter 191480: Loss = 0.008023123256862164, lr = [5e-05] +[2024-05-25 23:16:09,847] - INFO: Evaluate at epoch 1915! +[2024-05-25 23:16:14,611] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 23:16:14,611] - INFO: Eval PSNR (current): 38.075 (1915) SSIM (current): 0.9613 (1915) +[2024-05-25 23:16:14,611] - INFO: Evaluation over. +[2024-05-25 23:16:35,282] - INFO: Epoch 1916/9999, Iter 191520: Loss = 0.010983012616634369, lr = [5e-05] +[2024-05-25 23:17:02,503] - INFO: Epoch 1916/9999, Iter 191560: Loss = 0.011844515800476074, lr = [5e-05] +[2024-05-25 23:17:31,073] - INFO: Epoch 1917/9999, Iter 191600: Loss = 0.006367992144078016, lr = [5e-05] +[2024-05-25 23:17:58,346] - INFO: Epoch 1917/9999, Iter 191640: Loss = 0.014868170954287052, lr = [5e-05] +[2024-05-25 23:18:27,013] - INFO: Epoch 1917/9999, Iter 191680: Loss = 0.019282102584838867, lr = [5e-05] +[2024-05-25 23:18:59,761] - INFO: Epoch 1918/9999, Iter 191720: Loss = 0.011143149808049202, lr = [5e-05] +[2024-05-25 23:19:27,079] - INFO: Epoch 1918/9999, Iter 191760: Loss = 0.011523348279297352, lr = [5e-05] +[2024-05-25 23:19:57,911] - INFO: Epoch 1919/9999, Iter 191800: Loss = 0.016011463478207588, lr = [5e-05] +[2024-05-25 23:20:25,172] - INFO: Epoch 1919/9999, Iter 191840: Loss = 0.01156842801719904, lr = [5e-05] +[2024-05-25 23:20:54,072] - INFO: Epoch 1919/9999, Iter 191880: Loss = 0.006263040006160736, lr = [5e-05] +[2024-05-25 23:21:23,103] - INFO: Epoch 1920/9999, Iter 191920: Loss = 0.009274661540985107, lr = [5e-05] +[2024-05-25 23:21:50,434] - INFO: Epoch 1920/9999, Iter 191960: Loss = 0.013807100243866444, lr = [5e-05] +[2024-05-25 23:22:20,384] - INFO: Evaluate at epoch 1920! +[2024-05-25 23:22:27,091] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 23:22:27,091] - INFO: Eval PSNR (current): 38.083 (1920) SSIM (current): 0.9613 (1920) +[2024-05-25 23:22:27,091] - INFO: Evaluation over. +[2024-05-25 23:22:39,738] - INFO: Epoch 1921/9999, Iter 192000: Loss = 0.012096326798200607, lr = [5e-05] +[2024-05-25 23:23:07,564] - INFO: Epoch 1921/9999, Iter 192040: Loss = 0.009773221798241138, lr = [5e-05] +[2024-05-25 23:23:34,746] - INFO: Epoch 1921/9999, Iter 192080: Loss = 0.010749945417046547, lr = [5e-05] +[2024-05-25 23:24:03,450] - INFO: Epoch 1922/9999, Iter 192120: Loss = 0.008396848104894161, lr = [5e-05] +[2024-05-25 23:24:30,637] - INFO: Epoch 1922/9999, Iter 192160: Loss = 0.007959057576954365, lr = [5e-05] +[2024-05-25 23:24:59,264] - INFO: Epoch 1923/9999, Iter 192200: Loss = 0.010273068211972713, lr = [5e-05] +[2024-05-25 23:25:26,608] - INFO: Epoch 1923/9999, Iter 192240: Loss = 0.02257184498012066, lr = [5e-05] +[2024-05-25 23:25:53,808] - INFO: Epoch 1923/9999, Iter 192280: Loss = 0.008925718255341053, lr = [5e-05] +[2024-05-25 23:26:22,576] - INFO: Epoch 1924/9999, Iter 192320: Loss = 0.016830915585160255, lr = [5e-05] +[2024-05-25 23:26:49,785] - INFO: Epoch 1924/9999, Iter 192360: Loss = 0.01973189413547516, lr = [5e-05] +[2024-05-25 23:27:18,394] - INFO: Epoch 1925/9999, Iter 192400: Loss = 0.013351427391171455, lr = [5e-05] +[2024-05-25 23:27:45,699] - INFO: Epoch 1925/9999, Iter 192440: Loss = 0.013007832691073418, lr = [5e-05] +[2024-05-25 23:28:12,864] - INFO: Epoch 1925/9999, Iter 192480: Loss = 0.013830115087330341, lr = [5e-05] +[2024-05-25 23:28:26,167] - INFO: Evaluate at epoch 1925! +[2024-05-25 23:28:36,503] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:28:36,504] - INFO: Eval PSNR (current): 38.089 (1925) SSIM (current): 0.9614 (1925) +[2024-05-25 23:28:36,504] - INFO: Evaluation over. +[2024-05-25 23:28:56,907] - INFO: Epoch 1926/9999, Iter 192520: Loss = 0.01489885151386261, lr = [5e-05] +[2024-05-25 23:29:24,103] - INFO: Epoch 1926/9999, Iter 192560: Loss = 0.008506352081894875, lr = [5e-05] +[2024-05-25 23:29:52,498] - INFO: Epoch 1927/9999, Iter 192600: Loss = 0.010195093229413033, lr = [5e-05] +[2024-05-25 23:30:19,733] - INFO: Epoch 1927/9999, Iter 192640: Loss = 0.016269315034151077, lr = [5e-05] +[2024-05-25 23:30:46,958] - INFO: Epoch 1927/9999, Iter 192680: Loss = 0.00913884025067091, lr = [5e-05] +[2024-05-25 23:31:15,511] - INFO: Epoch 1928/9999, Iter 192720: Loss = 0.020005812868475914, lr = [5e-05] +[2024-05-25 23:31:42,716] - INFO: Epoch 1928/9999, Iter 192760: Loss = 0.011795549653470516, lr = [5e-05] +[2024-05-25 23:32:11,081] - INFO: Epoch 1929/9999, Iter 192800: Loss = 0.014515945687890053, lr = [5e-05] +[2024-05-25 23:32:38,354] - INFO: Epoch 1929/9999, Iter 192840: Loss = 0.004547341726720333, lr = [5e-05] +[2024-05-25 23:33:05,543] - INFO: Epoch 1929/9999, Iter 192880: Loss = 0.010067151859402657, lr = [5e-05] +[2024-05-25 23:33:34,075] - INFO: Epoch 1930/9999, Iter 192920: Loss = 0.007197076454758644, lr = [5e-05] +[2024-05-25 23:34:01,362] - INFO: Epoch 1930/9999, Iter 192960: Loss = 0.007699355483055115, lr = [5e-05] +[2024-05-25 23:34:28,278] - INFO: Evaluate at epoch 1930! +[2024-05-25 23:34:32,969] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:34:32,969] - INFO: Eval PSNR (current): 38.123 (1930) SSIM (current): 0.9613 (1930) +[2024-05-25 23:34:32,969] - INFO: Evaluation over. +[2024-05-25 23:34:39,949] - INFO: Epoch 1931/9999, Iter 193000: Loss = 0.013578664511442184, lr = [5e-05] +[2024-05-25 23:35:07,187] - INFO: Epoch 1931/9999, Iter 193040: Loss = 0.015255464240908623, lr = [5e-05] +[2024-05-25 23:35:34,392] - INFO: Epoch 1931/9999, Iter 193080: Loss = 0.019904889166355133, lr = [5e-05] +[2024-05-25 23:36:03,181] - INFO: Epoch 1932/9999, Iter 193120: Loss = 0.01528723631054163, lr = [5e-05] +[2024-05-25 23:36:30,322] - INFO: Epoch 1932/9999, Iter 193160: Loss = 0.01326562650501728, lr = [5e-05] +[2024-05-25 23:36:58,882] - INFO: Epoch 1933/9999, Iter 193200: Loss = 0.00569474371150136, lr = [5e-05] +[2024-05-25 23:37:26,264] - INFO: Epoch 1933/9999, Iter 193240: Loss = 0.016688169911503792, lr = [5e-05] +[2024-05-25 23:37:53,406] - INFO: Epoch 1933/9999, Iter 193280: Loss = 0.02872396446764469, lr = [5e-05] +[2024-05-25 23:38:21,955] - INFO: Epoch 1934/9999, Iter 193320: Loss = 0.010840880684554577, lr = [5e-05] +[2024-05-25 23:38:49,151] - INFO: Epoch 1934/9999, Iter 193360: Loss = 0.014339319430291653, lr = [5e-05] +[2024-05-25 23:39:18,020] - INFO: Epoch 1935/9999, Iter 193400: Loss = 0.01222312543541193, lr = [5e-05] +[2024-05-25 23:39:45,264] - INFO: Epoch 1935/9999, Iter 193440: Loss = 0.015692701563239098, lr = [5e-05] +[2024-05-25 23:40:12,448] - INFO: Epoch 1935/9999, Iter 193480: Loss = 0.013402089476585388, lr = [5e-05] +[2024-05-25 23:40:25,773] - INFO: Evaluate at epoch 1935! +[2024-05-25 23:40:30,275] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:40:30,275] - INFO: Eval PSNR (current): 38.130 (1935) SSIM (current): 0.9613 (1935) +[2024-05-25 23:40:30,275] - INFO: Evaluation over. +[2024-05-25 23:40:50,704] - INFO: Epoch 1936/9999, Iter 193520: Loss = 0.010283048264682293, lr = [5e-05] +[2024-05-25 23:41:17,928] - INFO: Epoch 1936/9999, Iter 193560: Loss = 0.011043063364923, lr = [5e-05] +[2024-05-25 23:41:46,504] - INFO: Epoch 1937/9999, Iter 193600: Loss = 0.012570043094456196, lr = [5e-05] +[2024-05-25 23:42:13,815] - INFO: Epoch 1937/9999, Iter 193640: Loss = 0.019767841324210167, lr = [5e-05] +[2024-05-25 23:42:41,070] - INFO: Epoch 1937/9999, Iter 193680: Loss = 0.014607218094170094, lr = [5e-05] +[2024-05-25 23:43:09,827] - INFO: Epoch 1938/9999, Iter 193720: Loss = 0.01425436232239008, lr = [5e-05] +[2024-05-25 23:43:37,036] - INFO: Epoch 1938/9999, Iter 193760: Loss = 0.012835592962801456, lr = [5e-05] +[2024-05-25 23:44:05,711] - INFO: Epoch 1939/9999, Iter 193800: Loss = 0.016119996085762978, lr = [5e-05] +[2024-05-25 23:44:32,974] - INFO: Epoch 1939/9999, Iter 193840: Loss = 0.017903709784150124, lr = [5e-05] +[2024-05-25 23:45:00,225] - INFO: Epoch 1939/9999, Iter 193880: Loss = 0.013959119096398354, lr = [5e-05] +[2024-05-25 23:45:28,686] - INFO: Epoch 1940/9999, Iter 193920: Loss = 0.007504168897867203, lr = [5e-05] +[2024-05-25 23:45:55,806] - INFO: Epoch 1940/9999, Iter 193960: Loss = 0.019573843106627464, lr = [5e-05] +[2024-05-25 23:46:22,828] - INFO: Evaluate at epoch 1940! +[2024-05-25 23:46:27,493] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:46:27,493] - INFO: Eval PSNR (current): 38.110 (1940) SSIM (current): 0.9612 (1940) +[2024-05-25 23:46:27,493] - INFO: Evaluation over. +[2024-05-25 23:46:34,156] - INFO: Epoch 1941/9999, Iter 194000: Loss = 0.012956698425114155, lr = [5e-05] +[2024-05-25 23:47:01,443] - INFO: Epoch 1941/9999, Iter 194040: Loss = 0.013746561482548714, lr = [5e-05] +[2024-05-25 23:47:28,623] - INFO: Epoch 1941/9999, Iter 194080: Loss = 0.00612230971455574, lr = [5e-05] +[2024-05-25 23:47:57,230] - INFO: Epoch 1942/9999, Iter 194120: Loss = 0.007969659753143787, lr = [5e-05] +[2024-05-25 23:48:24,438] - INFO: Epoch 1942/9999, Iter 194160: Loss = 0.00948970764875412, lr = [5e-05] +[2024-05-25 23:48:53,015] - INFO: Epoch 1943/9999, Iter 194200: Loss = 0.009339203126728535, lr = [5e-05] +[2024-05-25 23:49:20,274] - INFO: Epoch 1943/9999, Iter 194240: Loss = 0.018952585756778717, lr = [5e-05] +[2024-05-25 23:49:47,483] - INFO: Epoch 1943/9999, Iter 194280: Loss = 0.008911021053791046, lr = [5e-05] +[2024-05-25 23:50:16,030] - INFO: Epoch 1944/9999, Iter 194320: Loss = 0.019528735429048538, lr = [5e-05] +[2024-05-25 23:50:43,247] - INFO: Epoch 1944/9999, Iter 194360: Loss = 0.020776890218257904, lr = [5e-05] +[2024-05-25 23:51:11,863] - INFO: Epoch 1945/9999, Iter 194400: Loss = 0.00917149055749178, lr = [5e-05] +[2024-05-25 23:51:39,134] - INFO: Epoch 1945/9999, Iter 194440: Loss = 0.015452257357537746, lr = [5e-05] +[2024-05-25 23:52:06,375] - INFO: Epoch 1945/9999, Iter 194480: Loss = 0.010060316883027554, lr = [5e-05] +[2024-05-25 23:52:19,667] - INFO: Evaluate at epoch 1945! +[2024-05-25 23:52:24,241] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:52:24,241] - INFO: Eval PSNR (current): 38.115 (1945) SSIM (current): 0.9611 (1945) +[2024-05-25 23:52:24,241] - INFO: Evaluation over. +[2024-05-25 23:52:44,627] - INFO: Epoch 1946/9999, Iter 194520: Loss = 0.010002374649047852, lr = [5e-05] +[2024-05-25 23:53:11,818] - INFO: Epoch 1946/9999, Iter 194560: Loss = 0.007202151231467724, lr = [5e-05] +[2024-05-25 23:53:40,450] - INFO: Epoch 1947/9999, Iter 194600: Loss = 0.011662052944302559, lr = [5e-05] +[2024-05-25 23:54:07,765] - INFO: Epoch 1947/9999, Iter 194640: Loss = 0.013865455985069275, lr = [5e-05] +[2024-05-25 23:54:35,005] - INFO: Epoch 1947/9999, Iter 194680: Loss = 0.012890791520476341, lr = [5e-05] +[2024-05-25 23:55:03,632] - INFO: Epoch 1948/9999, Iter 194720: Loss = 0.011569707654416561, lr = [5e-05] +[2024-05-25 23:55:30,819] - INFO: Epoch 1948/9999, Iter 194760: Loss = 0.01603667065501213, lr = [5e-05] +[2024-05-25 23:55:59,287] - INFO: Epoch 1949/9999, Iter 194800: Loss = 0.011449247598648071, lr = [5e-05] +[2024-05-25 23:56:26,596] - INFO: Epoch 1949/9999, Iter 194840: Loss = 0.005927605088800192, lr = [5e-05] +[2024-05-25 23:56:53,826] - INFO: Epoch 1949/9999, Iter 194880: Loss = 0.010546109639108181, lr = [5e-05] +[2024-05-25 23:57:22,352] - INFO: Epoch 1950/9999, Iter 194920: Loss = 0.006805418524891138, lr = [5e-05] +[2024-05-25 23:57:49,608] - INFO: Epoch 1950/9999, Iter 194960: Loss = 0.011336739175021648, lr = [5e-05] +[2024-05-25 23:58:16,479] - INFO: Evaluate at epoch 1950! +[2024-05-25 23:58:21,206] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:58:21,206] - INFO: Eval PSNR (current): 38.113 (1950) SSIM (current): 0.9613 (1950) +[2024-05-25 23:58:21,206] - INFO: Evaluation over. +[2024-05-25 23:58:27,744] - INFO: Epoch 1951/9999, Iter 195000: Loss = 0.011508215218782425, lr = [5e-05] +[2024-05-25 23:58:55,071] - INFO: Epoch 1951/9999, Iter 195040: Loss = 0.013452503830194473, lr = [5e-05] +[2024-05-25 23:59:22,294] - INFO: Epoch 1951/9999, Iter 195080: Loss = 0.015800083056092262, lr = [5e-05] +[2024-05-25 23:59:50,982] - INFO: Epoch 1952/9999, Iter 195120: Loss = 0.007672765292227268, lr = [5e-05] +[2024-05-26 00:00:18,183] - INFO: Epoch 1952/9999, Iter 195160: Loss = 0.013995272107422352, lr = [5e-05] +[2024-05-26 00:00:46,733] - INFO: Epoch 1953/9999, Iter 195200: Loss = 0.011850753799080849, lr = [5e-05] +[2024-05-26 00:01:14,038] - INFO: Epoch 1953/9999, Iter 195240: Loss = 0.006783263757824898, lr = [5e-05] +[2024-05-26 00:01:41,310] - INFO: Epoch 1953/9999, Iter 195280: Loss = 0.010398275218904018, lr = [5e-05] +[2024-05-26 00:02:10,080] - INFO: Epoch 1954/9999, Iter 195320: Loss = 0.00596237275749445, lr = [5e-05] +[2024-05-26 00:02:37,274] - INFO: Epoch 1954/9999, Iter 195360: Loss = 0.009888535365462303, lr = [5e-05] +[2024-05-26 00:03:06,069] - INFO: Epoch 1955/9999, Iter 195400: Loss = 0.011998468078672886, lr = [5e-05] +[2024-05-26 00:03:33,360] - INFO: Epoch 1955/9999, Iter 195440: Loss = 0.016219601035118103, lr = [5e-05] +[2024-05-26 00:04:00,544] - INFO: Epoch 1955/9999, Iter 195480: Loss = 0.009074641391634941, lr = [5e-05] +[2024-05-26 00:04:13,824] - INFO: Evaluate at epoch 1955! +[2024-05-26 00:04:18,384] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:04:18,385] - INFO: Eval PSNR (current): 38.111 (1955) SSIM (current): 0.9614 (1955) +[2024-05-26 00:04:18,385] - INFO: Evaluation over. +[2024-05-26 00:04:39,203] - INFO: Epoch 1956/9999, Iter 195520: Loss = 0.014792315661907196, lr = [5e-05] +[2024-05-26 00:05:06,394] - INFO: Epoch 1956/9999, Iter 195560: Loss = 0.01726534403860569, lr = [5e-05] +[2024-05-26 00:05:35,160] - INFO: Epoch 1957/9999, Iter 195600: Loss = 0.0135818962007761, lr = [5e-05] +[2024-05-26 00:06:02,490] - INFO: Epoch 1957/9999, Iter 195640: Loss = 0.009588838554918766, lr = [5e-05] +[2024-05-26 00:06:29,647] - INFO: Epoch 1957/9999, Iter 195680: Loss = 0.02188289538025856, lr = [5e-05] +[2024-05-26 00:06:58,562] - INFO: Epoch 1958/9999, Iter 195720: Loss = 0.01222911849617958, lr = [5e-05] +[2024-05-26 00:07:25,765] - INFO: Epoch 1958/9999, Iter 195760: Loss = 0.00860569067299366, lr = [5e-05] +[2024-05-26 00:07:54,528] - INFO: Epoch 1959/9999, Iter 195800: Loss = 0.018354328349232674, lr = [5e-05] +[2024-05-26 00:08:21,818] - INFO: Epoch 1959/9999, Iter 195840: Loss = 0.010754503309726715, lr = [5e-05] +[2024-05-26 00:08:49,068] - INFO: Epoch 1959/9999, Iter 195880: Loss = 0.020207878202199936, lr = [5e-05] +[2024-05-26 00:09:17,760] - INFO: Epoch 1960/9999, Iter 195920: Loss = 0.0179516039788723, lr = [5e-05] +[2024-05-26 00:09:45,008] - INFO: Epoch 1960/9999, Iter 195960: Loss = 0.016975853592157364, lr = [5e-05] +[2024-05-26 00:10:11,864] - INFO: Evaluate at epoch 1960! +[2024-05-26 00:10:16,427] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:10:16,427] - INFO: Eval PSNR (current): 38.055 (1960) SSIM (current): 0.9612 (1960) +[2024-05-26 00:10:16,427] - INFO: Evaluation over. +[2024-05-26 00:10:23,114] - INFO: Epoch 1961/9999, Iter 196000: Loss = 0.010631580837070942, lr = [5e-05] +[2024-05-26 00:10:50,363] - INFO: Epoch 1961/9999, Iter 196040: Loss = 0.017531441524624825, lr = [5e-05] +[2024-05-26 00:11:17,654] - INFO: Epoch 1961/9999, Iter 196080: Loss = 0.018941396847367287, lr = [5e-05] +[2024-05-26 00:11:46,555] - INFO: Epoch 1962/9999, Iter 196120: Loss = 0.01920549012720585, lr = [5e-05] +[2024-05-26 00:12:13,771] - INFO: Epoch 1962/9999, Iter 196160: Loss = 0.011702892370522022, lr = [5e-05] +[2024-05-26 00:12:42,352] - INFO: Epoch 1963/9999, Iter 196200: Loss = 0.011898992583155632, lr = [5e-05] +[2024-05-26 00:13:09,657] - INFO: Epoch 1963/9999, Iter 196240: Loss = 0.016590019688010216, lr = [5e-05] +[2024-05-26 00:13:36,865] - INFO: Epoch 1963/9999, Iter 196280: Loss = 0.01981164515018463, lr = [5e-05] +[2024-05-26 00:14:05,601] - INFO: Epoch 1964/9999, Iter 196320: Loss = 0.019920190796256065, lr = [5e-05] +[2024-05-26 00:14:32,796] - INFO: Epoch 1964/9999, Iter 196360: Loss = 0.010877867229282856, lr = [5e-05] +[2024-05-26 00:15:01,480] - INFO: Epoch 1965/9999, Iter 196400: Loss = 0.01695406250655651, lr = [5e-05] +[2024-05-26 00:15:28,618] - INFO: Epoch 1965/9999, Iter 196440: Loss = 0.014421499334275723, lr = [5e-05] +[2024-05-26 00:15:55,829] - INFO: Epoch 1965/9999, Iter 196480: Loss = 0.015798769891262054, lr = [5e-05] +[2024-05-26 00:16:09,117] - INFO: Evaluate at epoch 1965! +[2024-05-26 00:16:13,695] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:16:13,696] - INFO: Eval PSNR (current): 38.086 (1965) SSIM (current): 0.9613 (1965) +[2024-05-26 00:16:13,696] - INFO: Evaluation over. +[2024-05-26 00:16:34,185] - INFO: Epoch 1966/9999, Iter 196520: Loss = 0.012029921635985374, lr = [5e-05] +[2024-05-26 00:17:01,414] - INFO: Epoch 1966/9999, Iter 196560: Loss = 0.00934969075024128, lr = [5e-05] +[2024-05-26 00:17:29,870] - INFO: Epoch 1967/9999, Iter 196600: Loss = 0.01539717148989439, lr = [5e-05] +[2024-05-26 00:17:57,144] - INFO: Epoch 1967/9999, Iter 196640: Loss = 0.00717121921479702, lr = [5e-05] +[2024-05-26 00:18:24,423] - INFO: Epoch 1967/9999, Iter 196680: Loss = 0.01145183201879263, lr = [5e-05] +[2024-05-26 00:18:52,913] - INFO: Epoch 1968/9999, Iter 196720: Loss = 0.01217381190508604, lr = [5e-05] +[2024-05-26 00:19:20,053] - INFO: Epoch 1968/9999, Iter 196760: Loss = 0.00867507979273796, lr = [5e-05] +[2024-05-26 00:19:48,845] - INFO: Epoch 1969/9999, Iter 196800: Loss = 0.00908095296472311, lr = [5e-05] +[2024-05-26 00:20:16,289] - INFO: Epoch 1969/9999, Iter 196840: Loss = 0.013898419216275215, lr = [5e-05] +[2024-05-26 00:20:43,512] - INFO: Epoch 1969/9999, Iter 196880: Loss = 0.01521630585193634, lr = [5e-05] +[2024-05-26 00:21:12,179] - INFO: Epoch 1970/9999, Iter 196920: Loss = 0.0072765471413731575, lr = [5e-05] +[2024-05-26 00:21:39,397] - INFO: Epoch 1970/9999, Iter 196960: Loss = 0.011937258765101433, lr = [5e-05] +[2024-05-26 00:22:06,348] - INFO: Evaluate at epoch 1970! +[2024-05-26 00:22:10,961] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:22:10,962] - INFO: Eval PSNR (current): 38.130 (1970) SSIM (current): 0.9613 (1970) +[2024-05-26 00:22:10,962] - INFO: Evaluation over. +[2024-05-26 00:22:17,764] - INFO: Epoch 1971/9999, Iter 197000: Loss = 0.013767565600574017, lr = [5e-05] +[2024-05-26 00:22:45,011] - INFO: Epoch 1971/9999, Iter 197040: Loss = 0.015369395725429058, lr = [5e-05] +[2024-05-26 00:23:12,274] - INFO: Epoch 1971/9999, Iter 197080: Loss = 0.007727166172116995, lr = [5e-05] +[2024-05-26 00:23:40,919] - INFO: Epoch 1972/9999, Iter 197120: Loss = 0.012385892681777477, lr = [5e-05] +[2024-05-26 00:24:08,159] - INFO: Epoch 1972/9999, Iter 197160: Loss = 0.013972878456115723, lr = [5e-05] +[2024-05-26 00:24:36,736] - INFO: Epoch 1973/9999, Iter 197200: Loss = 0.015533573925495148, lr = [5e-05] +[2024-05-26 00:25:04,106] - INFO: Epoch 1973/9999, Iter 197240: Loss = 0.017854196950793266, lr = [5e-05] +[2024-05-26 00:25:31,315] - INFO: Epoch 1973/9999, Iter 197280: Loss = 0.01041556615382433, lr = [5e-05] +[2024-05-26 00:25:59,920] - INFO: Epoch 1974/9999, Iter 197320: Loss = 0.015188246965408325, lr = [5e-05] +[2024-05-26 00:26:27,094] - INFO: Epoch 1974/9999, Iter 197360: Loss = 0.02315394952893257, lr = [5e-05] +[2024-05-26 00:26:55,617] - INFO: Epoch 1975/9999, Iter 197400: Loss = 0.008431090973317623, lr = [5e-05] +[2024-05-26 00:27:22,996] - INFO: Epoch 1975/9999, Iter 197440: Loss = 0.010182616300880909, lr = [5e-05] +[2024-05-26 00:27:50,245] - INFO: Epoch 1975/9999, Iter 197480: Loss = 0.01318529061973095, lr = [5e-05] +[2024-05-26 00:28:03,542] - INFO: Evaluate at epoch 1975! +[2024-05-26 00:28:08,200] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:28:08,201] - INFO: Eval PSNR (current): 38.137 (1975) SSIM (current): 0.9612 (1975) +[2024-05-26 00:28:08,201] - INFO: Evaluation over. +[2024-05-26 00:28:28,686] - INFO: Epoch 1976/9999, Iter 197520: Loss = 0.003891655243933201, lr = [5e-05] +[2024-05-26 00:28:55,843] - INFO: Epoch 1976/9999, Iter 197560: Loss = 0.019254347309470177, lr = [5e-05] +[2024-05-26 00:29:24,249] - INFO: Epoch 1977/9999, Iter 197600: Loss = 0.011956494301557541, lr = [5e-05] +[2024-05-26 00:29:51,554] - INFO: Epoch 1977/9999, Iter 197640: Loss = 0.007258156780153513, lr = [5e-05] +[2024-05-26 00:30:18,698] - INFO: Epoch 1977/9999, Iter 197680: Loss = 0.013094954192638397, lr = [5e-05] +[2024-05-26 00:30:47,351] - INFO: Epoch 1978/9999, Iter 197720: Loss = 0.011027627624571323, lr = [5e-05] +[2024-05-26 00:31:14,534] - INFO: Epoch 1978/9999, Iter 197760: Loss = 0.016993818804621696, lr = [5e-05] +[2024-05-26 00:31:43,048] - INFO: Epoch 1979/9999, Iter 197800: Loss = 0.013156681321561337, lr = [5e-05] +[2024-05-26 00:32:10,346] - INFO: Epoch 1979/9999, Iter 197840: Loss = 0.01082127820700407, lr = [5e-05] +[2024-05-26 00:32:37,557] - INFO: Epoch 1979/9999, Iter 197880: Loss = 0.02034718170762062, lr = [5e-05] +[2024-05-26 00:33:06,271] - INFO: Epoch 1980/9999, Iter 197920: Loss = 0.013312420807778835, lr = [5e-05] +[2024-05-26 00:33:33,517] - INFO: Epoch 1980/9999, Iter 197960: Loss = 0.017452377825975418, lr = [5e-05] +[2024-05-26 00:34:00,407] - INFO: Evaluate at epoch 1980! +[2024-05-26 00:34:04,986] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:34:04,986] - INFO: Eval PSNR (current): 38.122 (1980) SSIM (current): 0.9613 (1980) +[2024-05-26 00:34:04,986] - INFO: Evaluation over. +[2024-05-26 00:34:12,020] - INFO: Epoch 1981/9999, Iter 198000: Loss = 0.012445103377103806, lr = [5e-05] +[2024-05-26 00:34:39,343] - INFO: Epoch 1981/9999, Iter 198040: Loss = 0.010177526623010635, lr = [5e-05] +[2024-05-26 00:35:06,552] - INFO: Epoch 1981/9999, Iter 198080: Loss = 0.007462425623089075, lr = [5e-05] +[2024-05-26 00:35:35,409] - INFO: Epoch 1982/9999, Iter 198120: Loss = 0.013933919370174408, lr = [5e-05] +[2024-05-26 00:36:02,635] - INFO: Epoch 1982/9999, Iter 198160: Loss = 0.01406903937458992, lr = [5e-05] +[2024-05-26 00:36:31,166] - INFO: Epoch 1983/9999, Iter 198200: Loss = 0.01364893838763237, lr = [5e-05] +[2024-05-26 00:36:58,450] - INFO: Epoch 1983/9999, Iter 198240: Loss = 0.00982121005654335, lr = [5e-05] +[2024-05-26 00:37:25,683] - INFO: Epoch 1983/9999, Iter 198280: Loss = 0.016795814037322998, lr = [5e-05] +[2024-05-26 00:37:54,237] - INFO: Epoch 1984/9999, Iter 198320: Loss = 0.019403934478759766, lr = [5e-05] +[2024-05-26 00:38:21,423] - INFO: Epoch 1984/9999, Iter 198360: Loss = 0.018925238400697708, lr = [5e-05] +[2024-05-26 00:38:49,719] - INFO: Epoch 1985/9999, Iter 198400: Loss = 0.015155273489654064, lr = [5e-05] +[2024-05-26 00:39:17,027] - INFO: Epoch 1985/9999, Iter 198440: Loss = 0.0156821571290493, lr = [5e-05] +[2024-05-26 00:39:44,216] - INFO: Epoch 1985/9999, Iter 198480: Loss = 0.018616968765854836, lr = [5e-05] +[2024-05-26 00:39:57,528] - INFO: Evaluate at epoch 1985! +[2024-05-26 00:40:02,074] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:40:02,074] - INFO: Eval PSNR (current): 38.094 (1985) SSIM (current): 0.9612 (1985) +[2024-05-26 00:40:02,074] - INFO: Evaluation over. +[2024-05-26 00:40:22,729] - INFO: Epoch 1986/9999, Iter 198520: Loss = 0.013100546784698963, lr = [5e-05] +[2024-05-26 00:40:49,973] - INFO: Epoch 1986/9999, Iter 198560: Loss = 0.015039779245853424, lr = [5e-05] +[2024-05-26 00:41:18,411] - INFO: Epoch 1987/9999, Iter 198600: Loss = 0.013587475754320621, lr = [5e-05] +[2024-05-26 00:41:45,688] - INFO: Epoch 1987/9999, Iter 198640: Loss = 0.012812145054340363, lr = [5e-05] +[2024-05-26 00:42:12,850] - INFO: Epoch 1987/9999, Iter 198680: Loss = 0.0072859362699091434, lr = [5e-05] +[2024-05-26 00:42:41,499] - INFO: Epoch 1988/9999, Iter 198720: Loss = 0.013335153460502625, lr = [5e-05] +[2024-05-26 00:43:08,683] - INFO: Epoch 1988/9999, Iter 198760: Loss = 0.012007677927613258, lr = [5e-05] +[2024-05-26 00:43:37,255] - INFO: Epoch 1989/9999, Iter 198800: Loss = 0.016348356381058693, lr = [5e-05] +[2024-05-26 00:44:04,602] - INFO: Epoch 1989/9999, Iter 198840: Loss = 0.0114842988550663, lr = [5e-05] +[2024-05-26 00:44:31,840] - INFO: Epoch 1989/9999, Iter 198880: Loss = 0.012489641085267067, lr = [5e-05] +[2024-05-26 00:45:00,587] - INFO: Epoch 1990/9999, Iter 198920: Loss = 0.01841038651764393, lr = [5e-05] +[2024-05-26 00:45:27,830] - INFO: Epoch 1990/9999, Iter 198960: Loss = 0.009482256136834621, lr = [5e-05] +[2024-05-26 00:45:54,731] - INFO: Evaluate at epoch 1990! +[2024-05-26 00:46:04,485] - INFO: Eval PSNR (max): 38.147 (1990) SSIM (max): 0.9614 (1925) +[2024-05-26 00:46:04,485] - INFO: Eval PSNR (current): 38.147 (1990) SSIM (current): 0.9613 (1990) +[2024-05-26 00:46:04,486] - INFO: Evaluation over. +[2024-05-26 00:46:11,181] - INFO: Epoch 1991/9999, Iter 199000: Loss = 0.009080205112695694, lr = [5e-05] +[2024-05-26 00:46:38,475] - INFO: Epoch 1991/9999, Iter 199040: Loss = 0.009241835214197636, lr = [5e-05] +[2024-05-26 00:47:05,715] - INFO: Epoch 1991/9999, Iter 199080: Loss = 0.01647813618183136, lr = [5e-05] +[2024-05-26 00:47:34,414] - INFO: Epoch 1992/9999, Iter 199120: Loss = 0.015306700021028519, lr = [5e-05] +[2024-05-26 00:48:01,648] - INFO: Epoch 1992/9999, Iter 199160: Loss = 0.014885424636304379, lr = [5e-05] +[2024-05-26 00:48:30,295] - INFO: Epoch 1993/9999, Iter 199200: Loss = 0.015176195651292801, lr = [5e-05] +[2024-05-26 00:48:57,633] - INFO: Epoch 1993/9999, Iter 199240: Loss = 0.010280324146151543, lr = [5e-05] +[2024-05-26 00:49:24,903] - INFO: Epoch 1993/9999, Iter 199280: Loss = 0.010339583270251751, lr = [5e-05] +[2024-05-26 00:49:53,505] - INFO: Epoch 1994/9999, Iter 199320: Loss = 0.011379358358681202, lr = [5e-05] +[2024-05-26 00:50:20,648] - INFO: Epoch 1994/9999, Iter 199360: Loss = 0.0061967275105416775, lr = [5e-05] +[2024-05-26 00:50:49,200] - INFO: Epoch 1995/9999, Iter 199400: Loss = 0.010900557972490788, lr = [5e-05] +[2024-05-26 00:51:16,544] - INFO: Epoch 1995/9999, Iter 199440: Loss = 0.006609267555177212, lr = [5e-05] +[2024-05-26 00:51:43,775] - INFO: Epoch 1995/9999, Iter 199480: Loss = 0.010678119026124477, lr = [5e-05] +[2024-05-26 00:51:57,043] - INFO: Evaluate at epoch 1995! +[2024-05-26 00:52:01,634] - INFO: Eval PSNR (max): 38.147 (1990) SSIM (max): 0.9614 (1925) +[2024-05-26 00:52:01,634] - INFO: Eval PSNR (current): 38.137 (1995) SSIM (current): 0.9613 (1995) +[2024-05-26 00:52:01,634] - INFO: Evaluation over. +[2024-05-26 00:52:22,040] - INFO: Epoch 1996/9999, Iter 199520: Loss = 0.012120360508561134, lr = [5e-05] +[2024-05-26 00:52:49,251] - INFO: Epoch 1996/9999, Iter 199560: Loss = 0.012726088054478168, lr = [5e-05] +[2024-05-26 00:53:17,892] - INFO: Epoch 1997/9999, Iter 199600: Loss = 0.008580125868320465, lr = [5e-05] +[2024-05-26 00:53:45,122] - INFO: Epoch 1997/9999, Iter 199640: Loss = 0.014162695035338402, lr = [5e-05] +[2024-05-26 00:54:12,385] - INFO: Epoch 1997/9999, Iter 199680: Loss = 0.01577882096171379, lr = [5e-05] +[2024-05-26 00:54:41,153] - INFO: Epoch 1998/9999, Iter 199720: Loss = 0.012696029618382454, lr = [5e-05] +[2024-05-26 00:55:08,327] - INFO: Epoch 1998/9999, Iter 199760: Loss = 0.024462992325425148, lr = [5e-05] +[2024-05-26 00:55:37,009] - INFO: Epoch 1999/9999, Iter 199800: Loss = 0.016046160832047462, lr = [5e-05] +[2024-05-26 00:56:04,314] - INFO: Epoch 1999/9999, Iter 199840: Loss = 0.006152786780148745, lr = [5e-05] +[2024-05-26 00:56:31,507] - INFO: Epoch 1999/9999, Iter 199880: Loss = 0.006936873774975538, lr = [5e-05] +[2024-05-26 00:56:59,879] - INFO: Epoch 2000/9999, Iter 199920: Loss = 0.013386785052716732, lr = [2.5e-05] +[2024-05-26 00:57:27,059] - INFO: Epoch 2000/9999, Iter 199960: Loss = 0.012671960517764091, lr = [2.5e-05] +[2024-05-26 00:57:54,070] - INFO: Evaluate at epoch 2000! +[2024-05-26 00:58:09,131] - INFO: Eval PSNR (max): 38.154 (2000) SSIM (max): 0.9614 (2000) +[2024-05-26 00:58:09,132] - INFO: Eval PSNR (current): 38.154 (2000) SSIM (current): 0.9614 (2000) +[2024-05-26 00:58:09,132] - INFO: Evaluation over. +[2024-05-26 00:58:15,857] - INFO: Epoch 2001/9999, Iter 200000: Loss = 0.010030001401901245, lr = [2.5e-05] +[2024-05-26 00:58:43,160] - INFO: Epoch 2001/9999, Iter 200040: Loss = 0.011774715967476368, lr = [2.5e-05] +[2024-05-26 00:59:10,388] - INFO: Epoch 2001/9999, Iter 200080: Loss = 0.011618055403232574, lr = [2.5e-05] +[2024-05-26 00:59:39,061] - INFO: Epoch 2002/9999, Iter 200120: Loss = 0.011413916014134884, lr = [2.5e-05] +[2024-05-26 01:00:06,225] - INFO: Epoch 2002/9999, Iter 200160: Loss = 0.011728975921869278, lr = [2.5e-05] +[2024-05-26 01:00:34,960] - INFO: Epoch 2003/9999, Iter 200200: Loss = 0.008472589775919914, lr = [2.5e-05] +[2024-05-26 01:01:02,250] - INFO: Epoch 2003/9999, Iter 200240: Loss = 0.012745526619255543, lr = [2.5e-05] +[2024-05-26 01:01:29,504] - INFO: Epoch 2003/9999, Iter 200280: Loss = 0.02048036828637123, lr = [2.5e-05] +[2024-05-26 01:01:58,377] - INFO: Epoch 2004/9999, Iter 200320: Loss = 0.0180168766528368, lr = [2.5e-05] +[2024-05-26 01:02:25,607] - INFO: Epoch 2004/9999, Iter 200360: Loss = 0.007790702395141125, lr = [2.5e-05] +[2024-05-26 01:02:54,042] - INFO: Epoch 2005/9999, Iter 200400: Loss = 0.010268139652907848, lr = [2.5e-05] +[2024-05-26 01:03:21,350] - INFO: Epoch 2005/9999, Iter 200440: Loss = 0.014497633092105389, lr = [2.5e-05] +[2024-05-26 01:03:48,559] - INFO: Epoch 2005/9999, Iter 200480: Loss = 0.013673819601535797, lr = [2.5e-05] +[2024-05-26 01:04:01,830] - INFO: Evaluate at epoch 2005! +[2024-05-26 01:04:16,469] - INFO: Eval PSNR (max): 38.155 (2005) SSIM (max): 0.9614 (2005) +[2024-05-26 01:04:16,470] - INFO: Eval PSNR (current): 38.155 (2005) SSIM (current): 0.9614 (2005) +[2024-05-26 01:04:16,470] - INFO: Evaluation over. +[2024-05-26 01:04:37,168] - INFO: Epoch 2006/9999, Iter 200520: Loss = 0.009145515039563179, lr = [2.5e-05] +[2024-05-26 01:05:04,355] - INFO: Epoch 2006/9999, Iter 200560: Loss = 0.01216148491948843, lr = [2.5e-05] +[2024-05-26 01:05:33,064] - INFO: Epoch 2007/9999, Iter 200600: Loss = 0.008975566364824772, lr = [2.5e-05] +[2024-05-26 01:06:00,410] - INFO: Epoch 2007/9999, Iter 200640: Loss = 0.008428698405623436, lr = [2.5e-05] +[2024-05-26 01:06:27,596] - INFO: Epoch 2007/9999, Iter 200680: Loss = 0.00958312675356865, lr = [2.5e-05] +[2024-05-26 01:06:56,242] - INFO: Epoch 2008/9999, Iter 200720: Loss = 0.013805864378809929, lr = [2.5e-05] +[2024-05-26 01:07:23,451] - INFO: Epoch 2008/9999, Iter 200760: Loss = 0.0101833650842309, lr = [2.5e-05] +[2024-05-26 01:07:52,120] - INFO: Epoch 2009/9999, Iter 200800: Loss = 0.02124672941863537, lr = [2.5e-05] +[2024-05-26 01:08:19,475] - INFO: Epoch 2009/9999, Iter 200840: Loss = 0.014452665112912655, lr = [2.5e-05] +[2024-05-26 01:08:46,672] - INFO: Epoch 2009/9999, Iter 200880: Loss = 0.012835524044930935, lr = [2.5e-05] +[2024-05-26 01:09:15,551] - INFO: Epoch 2010/9999, Iter 200920: Loss = 0.020055143162608147, lr = [2.5e-05] +[2024-05-26 01:09:42,750] - INFO: Epoch 2010/9999, Iter 200960: Loss = 0.013408046215772629, lr = [2.5e-05] +[2024-05-26 01:10:09,623] - INFO: Evaluate at epoch 2010! +[2024-05-26 01:10:24,343] - INFO: Eval PSNR (max): 38.164 (2010) SSIM (max): 0.9615 (2010) +[2024-05-26 01:10:24,343] - INFO: Eval PSNR (current): 38.164 (2010) SSIM (current): 0.9615 (2010) +[2024-05-26 01:10:24,344] - INFO: Evaluation over. +[2024-05-26 01:10:30,434] - INFO: Epoch 2011/9999, Iter 201000: Loss = 0.010206787846982479, lr = [2.5e-05] +[2024-05-26 01:10:57,866] - INFO: Epoch 2011/9999, Iter 201040: Loss = 0.00736430287361145, lr = [2.5e-05] +[2024-05-26 01:11:25,093] - INFO: Epoch 2011/9999, Iter 201080: Loss = 0.010105954483151436, lr = [2.5e-05] +[2024-05-26 01:11:53,939] - INFO: Epoch 2012/9999, Iter 201120: Loss = 0.010635641403496265, lr = [2.5e-05] +[2024-05-26 01:12:21,234] - INFO: Epoch 2012/9999, Iter 201160: Loss = 0.010294359177350998, lr = [2.5e-05] +[2024-05-26 01:12:49,929] - INFO: Epoch 2013/9999, Iter 201200: Loss = 0.014447490684688091, lr = [2.5e-05] +[2024-05-26 01:13:17,191] - INFO: Epoch 2013/9999, Iter 201240: Loss = 0.007461159955710173, lr = [2.5e-05] +[2024-05-26 01:13:44,403] - INFO: Epoch 2013/9999, Iter 201280: Loss = 0.016627555713057518, lr = [2.5e-05] +[2024-05-26 01:14:13,189] - INFO: Epoch 2014/9999, Iter 201320: Loss = 0.008133767172694206, lr = [2.5e-05] +[2024-05-26 01:14:40,392] - INFO: Epoch 2014/9999, Iter 201360: Loss = 0.008925540372729301, lr = [2.5e-05] +[2024-05-26 01:15:08,858] - INFO: Epoch 2015/9999, Iter 201400: Loss = 0.01831051893532276, lr = [2.5e-05] +[2024-05-26 01:15:36,159] - INFO: Epoch 2015/9999, Iter 201440: Loss = 0.00894937664270401, lr = [2.5e-05] +[2024-05-26 01:16:03,347] - INFO: Epoch 2015/9999, Iter 201480: Loss = 0.018914854153990746, lr = [2.5e-05] +[2024-05-26 01:16:16,664] - INFO: Evaluate at epoch 2015! +[2024-05-26 01:16:21,132] - INFO: Eval PSNR (max): 38.164 (2010) SSIM (max): 0.9615 (2010) +[2024-05-26 01:16:21,132] - INFO: Eval PSNR (current): 38.148 (2015) SSIM (current): 0.9615 (2015) +[2024-05-26 01:16:21,132] - INFO: Evaluation over. +[2024-05-26 01:16:41,915] - INFO: Epoch 2016/9999, Iter 201520: Loss = 0.010122667998075485, lr = [2.5e-05] +[2024-05-26 01:17:09,106] - INFO: Epoch 2016/9999, Iter 201560: Loss = 0.017357368022203445, lr = [2.5e-05] +[2024-05-26 01:17:37,618] - INFO: Epoch 2017/9999, Iter 201600: Loss = 0.008641622960567474, lr = [2.5e-05] +[2024-05-26 01:18:04,977] - INFO: Epoch 2017/9999, Iter 201640: Loss = 0.010748087428510189, lr = [2.5e-05] +[2024-05-26 01:18:32,191] - INFO: Epoch 2017/9999, Iter 201680: Loss = 0.010208431631326675, lr = [2.5e-05] +[2024-05-26 01:19:01,037] - INFO: Epoch 2018/9999, Iter 201720: Loss = 0.011622183956205845, lr = [2.5e-05] +[2024-05-26 01:19:28,235] - INFO: Epoch 2018/9999, Iter 201760: Loss = 0.008149574510753155, lr = [2.5e-05] +[2024-05-26 01:19:56,822] - INFO: Epoch 2019/9999, Iter 201800: Loss = 0.011048858985304832, lr = [2.5e-05] +[2024-05-26 01:20:24,260] - INFO: Epoch 2019/9999, Iter 201840: Loss = 0.01590755209326744, lr = [2.5e-05] +[2024-05-26 01:20:51,401] - INFO: Epoch 2019/9999, Iter 201880: Loss = 0.007554950658231974, lr = [2.5e-05] +[2024-05-26 01:21:20,149] - INFO: Epoch 2020/9999, Iter 201920: Loss = 0.01360518392175436, lr = [2.5e-05] +[2024-05-26 01:21:47,384] - INFO: Epoch 2020/9999, Iter 201960: Loss = 0.010790389962494373, lr = [2.5e-05] +[2024-05-26 01:22:14,302] - INFO: Evaluate at epoch 2020! +[2024-05-26 01:22:29,239] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:22:29,239] - INFO: Eval PSNR (current): 38.169 (2020) SSIM (current): 0.9615 (2020) +[2024-05-26 01:22:29,240] - INFO: Evaluation over. +[2024-05-26 01:22:35,873] - INFO: Epoch 2021/9999, Iter 202000: Loss = 0.016774578019976616, lr = [2.5e-05] +[2024-05-26 01:23:03,239] - INFO: Epoch 2021/9999, Iter 202040: Loss = 0.012314758263528347, lr = [2.5e-05] +[2024-05-26 01:23:30,434] - INFO: Epoch 2021/9999, Iter 202080: Loss = 0.008958869613707066, lr = [2.5e-05] +[2024-05-26 01:23:59,110] - INFO: Epoch 2022/9999, Iter 202120: Loss = 0.009634662419557571, lr = [2.5e-05] +[2024-05-26 01:24:26,283] - INFO: Epoch 2022/9999, Iter 202160: Loss = 0.010530798695981503, lr = [2.5e-05] +[2024-05-26 01:24:54,756] - INFO: Epoch 2023/9999, Iter 202200: Loss = 0.007832038216292858, lr = [2.5e-05] +[2024-05-26 01:25:21,988] - INFO: Epoch 2023/9999, Iter 202240: Loss = 0.01091862190514803, lr = [2.5e-05] +[2024-05-26 01:25:49,181] - INFO: Epoch 2023/9999, Iter 202280: Loss = 0.013139152899384499, lr = [2.5e-05] +[2024-05-26 01:26:18,039] - INFO: Epoch 2024/9999, Iter 202320: Loss = 0.010166686028242111, lr = [2.5e-05] +[2024-05-26 01:26:45,233] - INFO: Epoch 2024/9999, Iter 202360: Loss = 0.008077675476670265, lr = [2.5e-05] +[2024-05-26 01:27:13,901] - INFO: Epoch 2025/9999, Iter 202400: Loss = 0.012094874866306782, lr = [2.5e-05] +[2024-05-26 01:27:41,225] - INFO: Epoch 2025/9999, Iter 202440: Loss = 0.018530268222093582, lr = [2.5e-05] +[2024-05-26 01:28:08,406] - INFO: Epoch 2025/9999, Iter 202480: Loss = 0.01429051160812378, lr = [2.5e-05] +[2024-05-26 01:28:21,661] - INFO: Evaluate at epoch 2025! +[2024-05-26 01:28:26,216] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:28:26,216] - INFO: Eval PSNR (current): 38.160 (2025) SSIM (current): 0.9615 (2025) +[2024-05-26 01:28:26,216] - INFO: Evaluation over. +[2024-05-26 01:28:46,376] - INFO: Epoch 2026/9999, Iter 202520: Loss = 0.012709952890872955, lr = [2.5e-05] +[2024-05-26 01:29:13,564] - INFO: Epoch 2026/9999, Iter 202560: Loss = 0.015007728710770607, lr = [2.5e-05] +[2024-05-26 01:29:42,186] - INFO: Epoch 2027/9999, Iter 202600: Loss = 0.01636362075805664, lr = [2.5e-05] +[2024-05-26 01:30:09,490] - INFO: Epoch 2027/9999, Iter 202640: Loss = 0.00808419194072485, lr = [2.5e-05] +[2024-05-26 01:30:36,673] - INFO: Epoch 2027/9999, Iter 202680: Loss = 0.01084266509860754, lr = [2.5e-05] +[2024-05-26 01:31:05,321] - INFO: Epoch 2028/9999, Iter 202720: Loss = 0.009987122379243374, lr = [2.5e-05] +[2024-05-26 01:31:32,532] - INFO: Epoch 2028/9999, Iter 202760: Loss = 0.02131562866270542, lr = [2.5e-05] +[2024-05-26 01:32:00,875] - INFO: Epoch 2029/9999, Iter 202800: Loss = 0.01015582587569952, lr = [2.5e-05] +[2024-05-26 01:32:28,255] - INFO: Epoch 2029/9999, Iter 202840: Loss = 0.013371847569942474, lr = [2.5e-05] +[2024-05-26 01:32:55,525] - INFO: Epoch 2029/9999, Iter 202880: Loss = 0.013434447348117828, lr = [2.5e-05] +[2024-05-26 01:33:24,038] - INFO: Epoch 2030/9999, Iter 202920: Loss = 0.012143422849476337, lr = [2.5e-05] +[2024-05-26 01:33:51,320] - INFO: Epoch 2030/9999, Iter 202960: Loss = 0.010076784528791904, lr = [2.5e-05] +[2024-05-26 01:34:18,269] - INFO: Evaluate at epoch 2030! +[2024-05-26 01:34:22,884] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:34:22,884] - INFO: Eval PSNR (current): 38.165 (2030) SSIM (current): 0.9615 (2030) +[2024-05-26 01:34:22,884] - INFO: Evaluation over. +[2024-05-26 01:34:29,726] - INFO: Epoch 2031/9999, Iter 203000: Loss = 0.0071308184415102005, lr = [2.5e-05] +[2024-05-26 01:34:57,045] - INFO: Epoch 2031/9999, Iter 203040: Loss = 0.008614158257842064, lr = [2.5e-05] +[2024-05-26 01:35:24,259] - INFO: Epoch 2031/9999, Iter 203080: Loss = 0.013165819458663464, lr = [2.5e-05] +[2024-05-26 01:35:52,850] - INFO: Epoch 2032/9999, Iter 203120: Loss = 0.01681527867913246, lr = [2.5e-05] +[2024-05-26 01:36:20,031] - INFO: Epoch 2032/9999, Iter 203160: Loss = 0.010351616889238358, lr = [2.5e-05] +[2024-05-26 01:36:48,745] - INFO: Epoch 2033/9999, Iter 203200: Loss = 0.0038740807212889194, lr = [2.5e-05] +[2024-05-26 01:37:16,032] - INFO: Epoch 2033/9999, Iter 203240: Loss = 0.0170509722083807, lr = [2.5e-05] +[2024-05-26 01:37:43,282] - INFO: Epoch 2033/9999, Iter 203280: Loss = 0.02008788473904133, lr = [2.5e-05] +[2024-05-26 01:38:11,798] - INFO: Epoch 2034/9999, Iter 203320: Loss = 0.011844469234347343, lr = [2.5e-05] +[2024-05-26 01:38:39,047] - INFO: Epoch 2034/9999, Iter 203360: Loss = 0.012900186702609062, lr = [2.5e-05] +[2024-05-26 01:39:07,395] - INFO: Epoch 2035/9999, Iter 203400: Loss = 0.01035978365689516, lr = [2.5e-05] +[2024-05-26 01:39:34,652] - INFO: Epoch 2035/9999, Iter 203440: Loss = 0.008504793047904968, lr = [2.5e-05] +[2024-05-26 01:40:01,874] - INFO: Epoch 2035/9999, Iter 203480: Loss = 0.013534793630242348, lr = [2.5e-05] +[2024-05-26 01:40:15,192] - INFO: Evaluate at epoch 2035! +[2024-05-26 01:40:19,944] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:40:19,944] - INFO: Eval PSNR (current): 38.141 (2035) SSIM (current): 0.9614 (2035) +[2024-05-26 01:40:19,944] - INFO: Evaluation over. +[2024-05-26 01:40:40,307] - INFO: Epoch 2036/9999, Iter 203520: Loss = 0.011619208380579948, lr = [2.5e-05] +[2024-05-26 01:41:07,499] - INFO: Epoch 2036/9999, Iter 203560: Loss = 0.009608165360987186, lr = [2.5e-05] +[2024-05-26 01:41:35,940] - INFO: Epoch 2037/9999, Iter 203600: Loss = 0.009676684625446796, lr = [2.5e-05] +[2024-05-26 01:42:03,196] - INFO: Epoch 2037/9999, Iter 203640: Loss = 0.0125169288367033, lr = [2.5e-05] +[2024-05-26 01:42:30,365] - INFO: Epoch 2037/9999, Iter 203680: Loss = 0.009691812098026276, lr = [2.5e-05] +[2024-05-26 01:42:59,054] - INFO: Epoch 2038/9999, Iter 203720: Loss = 0.012541579082608223, lr = [2.5e-05] +[2024-05-26 01:43:26,235] - INFO: Epoch 2038/9999, Iter 203760: Loss = 0.011216826736927032, lr = [2.5e-05] +[2024-05-26 01:43:54,754] - INFO: Epoch 2039/9999, Iter 203800: Loss = 0.014897246845066547, lr = [2.5e-05] +[2024-05-26 01:44:21,987] - INFO: Epoch 2039/9999, Iter 203840: Loss = 0.012649415992200375, lr = [2.5e-05] +[2024-05-26 01:44:49,207] - INFO: Epoch 2039/9999, Iter 203880: Loss = 0.00775048928335309, lr = [2.5e-05] +[2024-05-26 01:45:18,006] - INFO: Epoch 2040/9999, Iter 203920: Loss = 0.010477731935679913, lr = [2.5e-05] +[2024-05-26 01:45:45,179] - INFO: Epoch 2040/9999, Iter 203960: Loss = 0.01933027058839798, lr = [2.5e-05] +[2024-05-26 01:46:12,124] - INFO: Evaluate at epoch 2040! +[2024-05-26 01:46:16,648] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:46:16,648] - INFO: Eval PSNR (current): 38.166 (2040) SSIM (current): 0.9615 (2040) +[2024-05-26 01:46:16,648] - INFO: Evaluation over. +[2024-05-26 01:46:23,222] - INFO: Epoch 2041/9999, Iter 204000: Loss = 0.009562348015606403, lr = [2.5e-05] +[2024-05-26 01:46:50,620] - INFO: Epoch 2041/9999, Iter 204040: Loss = 0.01401219516992569, lr = [2.5e-05] +[2024-05-26 01:47:17,843] - INFO: Epoch 2041/9999, Iter 204080: Loss = 0.01801997423171997, lr = [2.5e-05] +[2024-05-26 01:47:46,440] - INFO: Epoch 2042/9999, Iter 204120: Loss = 0.008233392611145973, lr = [2.5e-05] +[2024-05-26 01:48:13,679] - INFO: Epoch 2042/9999, Iter 204160: Loss = 0.0174647755920887, lr = [2.5e-05] +[2024-05-26 01:48:42,268] - INFO: Epoch 2043/9999, Iter 204200: Loss = 0.016370775178074837, lr = [2.5e-05] +[2024-05-26 01:49:09,533] - INFO: Epoch 2043/9999, Iter 204240: Loss = 0.013673091307282448, lr = [2.5e-05] +[2024-05-26 01:49:36,731] - INFO: Epoch 2043/9999, Iter 204280: Loss = 0.012606848962605, lr = [2.5e-05] +[2024-05-26 01:50:05,431] - INFO: Epoch 2044/9999, Iter 204320: Loss = 0.010758889839053154, lr = [2.5e-05] +[2024-05-26 01:50:32,723] - INFO: Epoch 2044/9999, Iter 204360: Loss = 0.010694141499698162, lr = [2.5e-05] +[2024-05-26 01:51:01,073] - INFO: Epoch 2045/9999, Iter 204400: Loss = 0.0069199674762785435, lr = [2.5e-05] +[2024-05-26 01:51:28,400] - INFO: Epoch 2045/9999, Iter 204440: Loss = 0.014546431601047516, lr = [2.5e-05] +[2024-05-26 01:51:55,633] - INFO: Epoch 2045/9999, Iter 204480: Loss = 0.010711814276874065, lr = [2.5e-05] +[2024-05-26 01:52:08,957] - INFO: Evaluate at epoch 2045! +[2024-05-26 01:52:13,506] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:52:13,506] - INFO: Eval PSNR (current): 38.155 (2045) SSIM (current): 0.9615 (2045) +[2024-05-26 01:52:13,506] - INFO: Evaluation over. +[2024-05-26 01:52:33,881] - INFO: Epoch 2046/9999, Iter 204520: Loss = 0.010059120133519173, lr = [2.5e-05] +[2024-05-26 01:53:01,078] - INFO: Epoch 2046/9999, Iter 204560: Loss = 0.017253752797842026, lr = [2.5e-05] +[2024-05-26 01:53:29,753] - INFO: Epoch 2047/9999, Iter 204600: Loss = 0.010309859178960323, lr = [2.5e-05] +[2024-05-26 01:53:56,997] - INFO: Epoch 2047/9999, Iter 204640: Loss = 0.010929982177913189, lr = [2.5e-05] +[2024-05-26 01:54:24,228] - INFO: Epoch 2047/9999, Iter 204680: Loss = 0.00580044137313962, lr = [2.5e-05] +[2024-05-26 01:54:52,942] - INFO: Epoch 2048/9999, Iter 204720: Loss = 0.015596679411828518, lr = [2.5e-05] +[2024-05-26 01:55:20,081] - INFO: Epoch 2048/9999, Iter 204760: Loss = 0.008342853747308254, lr = [2.5e-05] +[2024-05-26 01:55:48,784] - INFO: Epoch 2049/9999, Iter 204800: Loss = 0.014448050409555435, lr = [2.5e-05] +[2024-05-26 01:56:16,080] - INFO: Epoch 2049/9999, Iter 204840: Loss = 0.013602823950350285, lr = [2.5e-05] +[2024-05-26 01:56:43,264] - INFO: Epoch 2049/9999, Iter 204880: Loss = 0.0163281112909317, lr = [2.5e-05] +[2024-05-26 01:57:11,883] - INFO: Epoch 2050/9999, Iter 204920: Loss = 0.009832331910729408, lr = [2.5e-05] +[2024-05-26 01:57:39,163] - INFO: Epoch 2050/9999, Iter 204960: Loss = 0.01789400726556778, lr = [2.5e-05] +[2024-05-26 01:58:05,971] - INFO: Evaluate at epoch 2050! +[2024-05-26 01:58:10,660] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:58:10,660] - INFO: Eval PSNR (current): 38.167 (2050) SSIM (current): 0.9615 (2050) +[2024-05-26 01:58:10,660] - INFO: Evaluation over. +[2024-05-26 01:58:17,544] - INFO: Epoch 2051/9999, Iter 205000: Loss = 0.014712040312588215, lr = [2.5e-05] +[2024-05-26 01:58:44,850] - INFO: Epoch 2051/9999, Iter 205040: Loss = 0.020455434918403625, lr = [2.5e-05] +[2024-05-26 01:59:12,093] - INFO: Epoch 2051/9999, Iter 205080: Loss = 0.010953395627439022, lr = [2.5e-05] +[2024-05-26 01:59:40,599] - INFO: Epoch 2052/9999, Iter 205120: Loss = 0.013146878220140934, lr = [2.5e-05] +[2024-05-26 02:00:07,783] - INFO: Epoch 2052/9999, Iter 205160: Loss = 0.011726087890565395, lr = [2.5e-05] +[2024-05-26 02:00:36,373] - INFO: Epoch 2053/9999, Iter 205200: Loss = 0.016345849260687828, lr = [2.5e-05] +[2024-05-26 02:01:03,623] - INFO: Epoch 2053/9999, Iter 205240: Loss = 0.020734142512083054, lr = [2.5e-05] +[2024-05-26 02:01:30,850] - INFO: Epoch 2053/9999, Iter 205280: Loss = 0.015021121129393578, lr = [2.5e-05] +[2024-05-26 02:01:59,447] - INFO: Epoch 2054/9999, Iter 205320: Loss = 0.02530684694647789, lr = [2.5e-05] +[2024-05-26 02:02:26,660] - INFO: Epoch 2054/9999, Iter 205360: Loss = 0.01476235780864954, lr = [2.5e-05] +[2024-05-26 02:02:55,190] - INFO: Epoch 2055/9999, Iter 205400: Loss = 0.01632869429886341, lr = [2.5e-05] +[2024-05-26 02:03:22,485] - INFO: Epoch 2055/9999, Iter 205440: Loss = 0.00852460041642189, lr = [2.5e-05] +[2024-05-26 02:03:49,643] - INFO: Epoch 2055/9999, Iter 205480: Loss = 0.008436440490186214, lr = [2.5e-05] +[2024-05-26 02:04:02,911] - INFO: Evaluate at epoch 2055! +[2024-05-26 02:04:13,005] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:04:13,006] - INFO: Eval PSNR (current): 38.174 (2055) SSIM (current): 0.9615 (2055) +[2024-05-26 02:04:13,006] - INFO: Evaluation over. +[2024-05-26 02:04:33,459] - INFO: Epoch 2056/9999, Iter 205520: Loss = 0.01031116209924221, lr = [2.5e-05] +[2024-05-26 02:05:00,684] - INFO: Epoch 2056/9999, Iter 205560: Loss = 0.01593104377388954, lr = [2.5e-05] +[2024-05-26 02:05:29,370] - INFO: Epoch 2057/9999, Iter 205600: Loss = 0.028707588091492653, lr = [2.5e-05] +[2024-05-26 02:05:56,603] - INFO: Epoch 2057/9999, Iter 205640: Loss = 0.004656777251511812, lr = [2.5e-05] +[2024-05-26 02:06:23,835] - INFO: Epoch 2057/9999, Iter 205680: Loss = 0.012417376041412354, lr = [2.5e-05] +[2024-05-26 02:06:52,479] - INFO: Epoch 2058/9999, Iter 205720: Loss = 0.0073457034304738045, lr = [2.5e-05] +[2024-05-26 02:07:19,769] - INFO: Epoch 2058/9999, Iter 205760: Loss = 0.02398315630853176, lr = [2.5e-05] +[2024-05-26 02:07:48,441] - INFO: Epoch 2059/9999, Iter 205800: Loss = 0.02071673609316349, lr = [2.5e-05] +[2024-05-26 02:08:15,737] - INFO: Epoch 2059/9999, Iter 205840: Loss = 0.014511991292238235, lr = [2.5e-05] +[2024-05-26 02:08:42,975] - INFO: Epoch 2059/9999, Iter 205880: Loss = 0.009783828631043434, lr = [2.5e-05] +[2024-05-26 02:09:11,429] - INFO: Epoch 2060/9999, Iter 205920: Loss = 0.02158247120678425, lr = [2.5e-05] +[2024-05-26 02:09:38,652] - INFO: Epoch 2060/9999, Iter 205960: Loss = 0.009827137924730778, lr = [2.5e-05] +[2024-05-26 02:10:05,519] - INFO: Evaluate at epoch 2060! +[2024-05-26 02:10:10,083] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:10:10,083] - INFO: Eval PSNR (current): 38.160 (2060) SSIM (current): 0.9614 (2060) +[2024-05-26 02:10:10,083] - INFO: Evaluation over. +[2024-05-26 02:10:16,852] - INFO: Epoch 2061/9999, Iter 206000: Loss = 0.02016775868833065, lr = [2.5e-05] +[2024-05-26 02:10:44,194] - INFO: Epoch 2061/9999, Iter 206040: Loss = 0.010892211459577084, lr = [2.5e-05] +[2024-05-26 02:11:11,378] - INFO: Epoch 2061/9999, Iter 206080: Loss = 0.016968658193945885, lr = [2.5e-05] +[2024-05-26 02:11:40,042] - INFO: Epoch 2062/9999, Iter 206120: Loss = 0.013239061459898949, lr = [2.5e-05] +[2024-05-26 02:12:07,232] - INFO: Epoch 2062/9999, Iter 206160: Loss = 0.010546812787652016, lr = [2.5e-05] +[2024-05-26 02:12:35,714] - INFO: Epoch 2063/9999, Iter 206200: Loss = 0.01432502269744873, lr = [2.5e-05] +[2024-05-26 02:13:03,032] - INFO: Epoch 2063/9999, Iter 206240: Loss = 0.013562433421611786, lr = [2.5e-05] +[2024-05-26 02:13:30,279] - INFO: Epoch 2063/9999, Iter 206280: Loss = 0.006341243628412485, lr = [2.5e-05] +[2024-05-26 02:13:58,914] - INFO: Epoch 2064/9999, Iter 206320: Loss = 0.011480732820928097, lr = [2.5e-05] +[2024-05-26 02:14:26,043] - INFO: Epoch 2064/9999, Iter 206360: Loss = 0.015341785736382008, lr = [2.5e-05] +[2024-05-26 02:14:54,630] - INFO: Epoch 2065/9999, Iter 206400: Loss = 0.017969870939850807, lr = [2.5e-05] +[2024-05-26 02:15:21,944] - INFO: Epoch 2065/9999, Iter 206440: Loss = 0.010532817803323269, lr = [2.5e-05] +[2024-05-26 02:15:49,165] - INFO: Epoch 2065/9999, Iter 206480: Loss = 0.012235299684107304, lr = [2.5e-05] +[2024-05-26 02:16:02,507] - INFO: Evaluate at epoch 2065! +[2024-05-26 02:16:07,065] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:16:07,065] - INFO: Eval PSNR (current): 38.159 (2065) SSIM (current): 0.9614 (2065) +[2024-05-26 02:16:07,065] - INFO: Evaluation over. +[2024-05-26 02:16:27,578] - INFO: Epoch 2066/9999, Iter 206520: Loss = 0.0066351150162518024, lr = [2.5e-05] +[2024-05-26 02:16:54,891] - INFO: Epoch 2066/9999, Iter 206560: Loss = 0.02059130370616913, lr = [2.5e-05] +[2024-05-26 02:17:23,322] - INFO: Epoch 2067/9999, Iter 206600: Loss = 0.01242079772055149, lr = [2.5e-05] +[2024-05-26 02:17:50,613] - INFO: Epoch 2067/9999, Iter 206640: Loss = 0.023009082302451134, lr = [2.5e-05] +[2024-05-26 02:18:17,859] - INFO: Epoch 2067/9999, Iter 206680: Loss = 0.009282288141548634, lr = [2.5e-05] +[2024-05-26 02:18:46,589] - INFO: Epoch 2068/9999, Iter 206720: Loss = 0.01841270737349987, lr = [2.5e-05] +[2024-05-26 02:19:13,785] - INFO: Epoch 2068/9999, Iter 206760: Loss = 0.017357109114527702, lr = [2.5e-05] +[2024-05-26 02:19:42,416] - INFO: Epoch 2069/9999, Iter 206800: Loss = 0.012158796191215515, lr = [2.5e-05] +[2024-05-26 02:20:09,702] - INFO: Epoch 2069/9999, Iter 206840: Loss = 0.011840310879051685, lr = [2.5e-05] +[2024-05-26 02:20:36,898] - INFO: Epoch 2069/9999, Iter 206880: Loss = 0.009652248583734035, lr = [2.5e-05] +[2024-05-26 02:21:05,661] - INFO: Epoch 2070/9999, Iter 206920: Loss = 0.009953899309039116, lr = [2.5e-05] +[2024-05-26 02:21:32,850] - INFO: Epoch 2070/9999, Iter 206960: Loss = 0.014784720726311207, lr = [2.5e-05] +[2024-05-26 02:21:59,772] - INFO: Evaluate at epoch 2070! +[2024-05-26 02:22:04,383] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:22:04,384] - INFO: Eval PSNR (current): 38.149 (2070) SSIM (current): 0.9614 (2070) +[2024-05-26 02:22:04,384] - INFO: Evaluation over. +[2024-05-26 02:22:11,139] - INFO: Epoch 2071/9999, Iter 207000: Loss = 0.01071136724203825, lr = [2.5e-05] +[2024-05-26 02:22:38,424] - INFO: Epoch 2071/9999, Iter 207040: Loss = 0.01385716162621975, lr = [2.5e-05] +[2024-05-26 02:23:05,594] - INFO: Epoch 2071/9999, Iter 207080: Loss = 0.008843248710036278, lr = [2.5e-05] +[2024-05-26 02:23:34,248] - INFO: Epoch 2072/9999, Iter 207120: Loss = 0.008352996781468391, lr = [2.5e-05] +[2024-05-26 02:24:01,449] - INFO: Epoch 2072/9999, Iter 207160: Loss = 0.008248494006693363, lr = [2.5e-05] +[2024-05-26 02:24:30,073] - INFO: Epoch 2073/9999, Iter 207200: Loss = 0.01523031760007143, lr = [2.5e-05] +[2024-05-26 02:24:57,346] - INFO: Epoch 2073/9999, Iter 207240: Loss = 0.008491290733218193, lr = [2.5e-05] +[2024-05-26 02:25:24,563] - INFO: Epoch 2073/9999, Iter 207280: Loss = 0.007872621528804302, lr = [2.5e-05] +[2024-05-26 02:25:52,939] - INFO: Epoch 2074/9999, Iter 207320: Loss = 0.014815257862210274, lr = [2.5e-05] +[2024-05-26 02:26:20,069] - INFO: Epoch 2074/9999, Iter 207360: Loss = 0.003934336360543966, lr = [2.5e-05] +[2024-05-26 02:26:56,704] - INFO: Epoch 2075/9999, Iter 207400: Loss = 0.006532976869493723, lr = [2.5e-05] +[2024-05-26 02:27:24,500] - INFO: Epoch 2075/9999, Iter 207440: Loss = 0.013826540671288967, lr = [2.5e-05] +[2024-05-26 02:27:51,710] - INFO: Epoch 2075/9999, Iter 207480: Loss = 0.015264864079654217, lr = [2.5e-05] +[2024-05-26 02:28:06,955] - INFO: Evaluate at epoch 2075! +[2024-05-26 02:28:13,545] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:28:13,546] - INFO: Eval PSNR (current): 38.123 (2075) SSIM (current): 0.9613 (2075) +[2024-05-26 02:28:13,546] - INFO: Evaluation over. +[2024-05-26 02:28:34,404] - INFO: Epoch 2076/9999, Iter 207520: Loss = 0.013897113502025604, lr = [2.5e-05] +[2024-05-26 02:29:02,846] - INFO: Epoch 2076/9999, Iter 207560: Loss = 0.015906384214758873, lr = [2.5e-05] +[2024-05-26 02:29:31,661] - INFO: Epoch 2077/9999, Iter 207600: Loss = 0.01170516200363636, lr = [2.5e-05] +[2024-05-26 02:29:59,072] - INFO: Epoch 2077/9999, Iter 207640: Loss = 0.01042222697287798, lr = [2.5e-05] +[2024-05-26 02:30:26,363] - INFO: Epoch 2077/9999, Iter 207680: Loss = 0.012646139599382877, lr = [2.5e-05] +[2024-05-26 02:30:57,642] - INFO: Epoch 2078/9999, Iter 207720: Loss = 0.006860767491161823, lr = [2.5e-05] +[2024-05-26 02:31:24,882] - INFO: Epoch 2078/9999, Iter 207760: Loss = 0.011235691606998444, lr = [2.5e-05] +[2024-05-26 02:31:54,554] - INFO: Epoch 2079/9999, Iter 207800: Loss = 0.005215945187956095, lr = [2.5e-05] +[2024-05-26 02:32:21,925] - INFO: Epoch 2079/9999, Iter 207840: Loss = 0.01442481018602848, lr = [2.5e-05] +[2024-05-26 02:32:49,698] - INFO: Epoch 2079/9999, Iter 207880: Loss = 0.010393901728093624, lr = [2.5e-05] +[2024-05-26 02:33:18,480] - INFO: Epoch 2080/9999, Iter 207920: Loss = 0.010576916858553886, lr = [2.5e-05] +[2024-05-26 02:33:45,707] - INFO: Epoch 2080/9999, Iter 207960: Loss = 0.010278959758579731, lr = [2.5e-05] +[2024-05-26 02:34:12,597] - INFO: Evaluate at epoch 2080! +[2024-05-26 02:34:17,194] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:34:17,194] - INFO: Eval PSNR (current): 38.161 (2080) SSIM (current): 0.9614 (2080) +[2024-05-26 02:34:17,194] - INFO: Evaluation over. +[2024-05-26 02:34:24,596] - INFO: Epoch 2081/9999, Iter 208000: Loss = 0.018036670982837677, lr = [2.5e-05] +[2024-05-26 02:34:51,874] - INFO: Epoch 2081/9999, Iter 208040: Loss = 0.013119369745254517, lr = [2.5e-05] +[2024-05-26 02:35:19,094] - INFO: Epoch 2081/9999, Iter 208080: Loss = 0.0216501634567976, lr = [2.5e-05] +[2024-05-26 02:35:47,847] - INFO: Epoch 2082/9999, Iter 208120: Loss = 0.012251758016645908, lr = [2.5e-05] +[2024-05-26 02:36:15,099] - INFO: Epoch 2082/9999, Iter 208160: Loss = 0.008156116120517254, lr = [2.5e-05] +[2024-05-26 02:36:43,749] - INFO: Epoch 2083/9999, Iter 208200: Loss = 0.007176014129072428, lr = [2.5e-05] +[2024-05-26 02:37:11,120] - INFO: Epoch 2083/9999, Iter 208240: Loss = 0.009887115098536015, lr = [2.5e-05] +[2024-05-26 02:37:38,387] - INFO: Epoch 2083/9999, Iter 208280: Loss = 0.007832242175936699, lr = [2.5e-05] +[2024-05-26 02:38:07,111] - INFO: Epoch 2084/9999, Iter 208320: Loss = 0.009200508706271648, lr = [2.5e-05] +[2024-05-26 02:38:34,320] - INFO: Epoch 2084/9999, Iter 208360: Loss = 0.015966562554240227, lr = [2.5e-05] +[2024-05-26 02:39:02,717] - INFO: Epoch 2085/9999, Iter 208400: Loss = 0.011425791308283806, lr = [2.5e-05] +[2024-05-26 02:39:29,974] - INFO: Epoch 2085/9999, Iter 208440: Loss = 0.01176391076296568, lr = [2.5e-05] +[2024-05-26 02:39:57,172] - INFO: Epoch 2085/9999, Iter 208480: Loss = 0.009080151095986366, lr = [2.5e-05] +[2024-05-26 02:40:10,454] - INFO: Evaluate at epoch 2085! +[2024-05-26 02:40:15,116] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:40:15,116] - INFO: Eval PSNR (current): 38.147 (2085) SSIM (current): 0.9615 (2085) +[2024-05-26 02:40:15,116] - INFO: Evaluation over. +[2024-05-26 02:40:35,868] - INFO: Epoch 2086/9999, Iter 208520: Loss = 0.012559782713651657, lr = [2.5e-05] +[2024-05-26 02:41:03,066] - INFO: Epoch 2086/9999, Iter 208560: Loss = 0.01682823896408081, lr = [2.5e-05] +[2024-05-26 02:41:31,504] - INFO: Epoch 2087/9999, Iter 208600: Loss = 0.011698411777615547, lr = [2.5e-05] +[2024-05-26 02:41:58,733] - INFO: Epoch 2087/9999, Iter 208640: Loss = 0.020621851086616516, lr = [2.5e-05] +[2024-05-26 02:42:25,966] - INFO: Epoch 2087/9999, Iter 208680: Loss = 0.009096212685108185, lr = [2.5e-05] +[2024-05-26 02:42:54,553] - INFO: Epoch 2088/9999, Iter 208720: Loss = 0.0096843671053648, lr = [2.5e-05] +[2024-05-26 02:43:21,699] - INFO: Epoch 2088/9999, Iter 208760: Loss = 0.013108289800584316, lr = [2.5e-05] +[2024-05-26 02:43:50,056] - INFO: Epoch 2089/9999, Iter 208800: Loss = 0.007109472993761301, lr = [2.5e-05] +[2024-05-26 02:44:17,381] - INFO: Epoch 2089/9999, Iter 208840: Loss = 0.02660054713487625, lr = [2.5e-05] +[2024-05-26 02:44:44,687] - INFO: Epoch 2089/9999, Iter 208880: Loss = 0.01930915005505085, lr = [2.5e-05] +[2024-05-26 02:45:13,187] - INFO: Epoch 2090/9999, Iter 208920: Loss = 0.013214679434895515, lr = [2.5e-05] +[2024-05-26 02:45:40,363] - INFO: Epoch 2090/9999, Iter 208960: Loss = 0.012361784465610981, lr = [2.5e-05] +[2024-05-26 02:46:07,326] - INFO: Evaluate at epoch 2090! +[2024-05-26 02:46:17,103] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9615 (2020) +[2024-05-26 02:46:17,104] - INFO: Eval PSNR (current): 38.178 (2090) SSIM (current): 0.9615 (2090) +[2024-05-26 02:46:17,104] - INFO: Evaluation over. +[2024-05-26 02:46:24,214] - INFO: Epoch 2091/9999, Iter 209000: Loss = 0.014812970533967018, lr = [2.5e-05] +[2024-05-26 02:46:51,503] - INFO: Epoch 2091/9999, Iter 209040: Loss = 0.010523022152483463, lr = [2.5e-05] +[2024-05-26 02:47:18,773] - INFO: Epoch 2091/9999, Iter 209080: Loss = 0.0041739363223314285, lr = [2.5e-05] +[2024-05-26 02:47:47,359] - INFO: Epoch 2092/9999, Iter 209120: Loss = 0.013843879103660583, lr = [2.5e-05] +[2024-05-26 02:48:14,535] - INFO: Epoch 2092/9999, Iter 209160: Loss = 0.015392225235700607, lr = [2.5e-05] +[2024-05-26 02:48:43,096] - INFO: Epoch 2093/9999, Iter 209200: Loss = 0.008525410667061806, lr = [2.5e-05] +[2024-05-26 02:49:10,325] - INFO: Epoch 2093/9999, Iter 209240: Loss = 0.006563746370375156, lr = [2.5e-05] +[2024-05-26 02:49:37,504] - INFO: Epoch 2093/9999, Iter 209280: Loss = 0.01996956765651703, lr = [2.5e-05] +[2024-05-26 02:50:06,049] - INFO: Epoch 2094/9999, Iter 209320: Loss = 0.01473488099873066, lr = [2.5e-05] +[2024-05-26 02:50:33,229] - INFO: Epoch 2094/9999, Iter 209360: Loss = 0.020336905494332314, lr = [2.5e-05] +[2024-05-26 02:51:01,942] - INFO: Epoch 2095/9999, Iter 209400: Loss = 0.013363102450966835, lr = [2.5e-05] +[2024-05-26 02:51:29,218] - INFO: Epoch 2095/9999, Iter 209440: Loss = 0.01640523411333561, lr = [2.5e-05] +[2024-05-26 02:51:56,439] - INFO: Epoch 2095/9999, Iter 209480: Loss = 0.011735648848116398, lr = [2.5e-05] +[2024-05-26 02:52:09,882] - INFO: Evaluate at epoch 2095! +[2024-05-26 02:52:14,335] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9615 (2020) +[2024-05-26 02:52:14,335] - INFO: Eval PSNR (current): 38.149 (2095) SSIM (current): 0.9615 (2095) +[2024-05-26 02:52:14,336] - INFO: Evaluation over. +[2024-05-26 02:52:34,939] - INFO: Epoch 2096/9999, Iter 209520: Loss = 0.010285879485309124, lr = [2.5e-05] +[2024-05-26 02:53:02,123] - INFO: Epoch 2096/9999, Iter 209560: Loss = 0.00784040056169033, lr = [2.5e-05] +[2024-05-26 02:53:30,730] - INFO: Epoch 2097/9999, Iter 209600: Loss = 0.009955556131899357, lr = [2.5e-05] +[2024-05-26 02:53:58,037] - INFO: Epoch 2097/9999, Iter 209640: Loss = 0.00786382146179676, lr = [2.5e-05] +[2024-05-26 02:54:25,256] - INFO: Epoch 2097/9999, Iter 209680: Loss = 0.007653288543224335, lr = [2.5e-05] +[2024-05-26 02:54:53,789] - INFO: Epoch 2098/9999, Iter 209720: Loss = 0.00725948391482234, lr = [2.5e-05] +[2024-05-26 02:55:20,987] - INFO: Epoch 2098/9999, Iter 209760: Loss = 0.009094508364796638, lr = [2.5e-05] +[2024-05-26 02:55:49,558] - INFO: Epoch 2099/9999, Iter 209800: Loss = 0.010660198517143726, lr = [2.5e-05] +[2024-05-26 02:56:16,875] - INFO: Epoch 2099/9999, Iter 209840: Loss = 0.015810377895832062, lr = [2.5e-05] +[2024-05-26 02:56:44,081] - INFO: Epoch 2099/9999, Iter 209880: Loss = 0.01912076398730278, lr = [2.5e-05] +[2024-05-26 02:57:12,781] - INFO: Epoch 2100/9999, Iter 209920: Loss = 0.007803779095411301, lr = [2.5e-05] +[2024-05-26 02:57:40,039] - INFO: Epoch 2100/9999, Iter 209960: Loss = 0.010843412950634956, lr = [2.5e-05] +[2024-05-26 02:58:06,915] - INFO: Evaluate at epoch 2100! +[2024-05-26 02:58:11,525] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9615 (2020) +[2024-05-26 02:58:11,526] - INFO: Eval PSNR (current): 38.163 (2100) SSIM (current): 0.9614 (2100) +[2024-05-26 02:58:11,526] - INFO: Evaluation over. +[2024-05-26 02:58:18,079] - INFO: Epoch 2101/9999, Iter 210000: Loss = 0.01764003373682499, lr = [2.5e-05] +[2024-05-26 02:58:45,374] - INFO: Epoch 2101/9999, Iter 210040: Loss = 0.008040479384362698, lr = [2.5e-05] +[2024-05-26 02:59:12,565] - INFO: Epoch 2101/9999, Iter 210080: Loss = 0.012422171421349049, lr = [2.5e-05] +[2024-05-26 02:59:41,270] - INFO: Epoch 2102/9999, Iter 210120: Loss = 0.015104315243661404, lr = [2.5e-05] +[2024-05-26 03:00:08,462] - INFO: Epoch 2102/9999, Iter 210160: Loss = 0.006298660300672054, lr = [2.5e-05] +[2024-05-26 03:00:37,002] - INFO: Epoch 2103/9999, Iter 210200: Loss = 0.014167819172143936, lr = [2.5e-05] +[2024-05-26 03:01:04,343] - INFO: Epoch 2103/9999, Iter 210240: Loss = 0.016066575422883034, lr = [2.5e-05] +[2024-05-26 03:01:31,603] - INFO: Epoch 2103/9999, Iter 210280: Loss = 0.024236105382442474, lr = [2.5e-05] +[2024-05-26 03:02:00,183] - INFO: Epoch 2104/9999, Iter 210320: Loss = 0.006320700515061617, lr = [2.5e-05] +[2024-05-26 03:02:27,442] - INFO: Epoch 2104/9999, Iter 210360: Loss = 0.01193760521709919, lr = [2.5e-05] +[2024-05-26 03:02:56,082] - INFO: Epoch 2105/9999, Iter 210400: Loss = 0.017300017178058624, lr = [2.5e-05] +[2024-05-26 03:03:23,383] - INFO: Epoch 2105/9999, Iter 210440: Loss = 0.010621256195008755, lr = [2.5e-05] +[2024-05-26 03:03:50,574] - INFO: Epoch 2105/9999, Iter 210480: Loss = 0.009578550234436989, lr = [2.5e-05] +[2024-05-26 03:04:03,857] - INFO: Evaluate at epoch 2105! +[2024-05-26 03:04:13,421] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9616 (2105) +[2024-05-26 03:04:13,422] - INFO: Eval PSNR (current): 38.173 (2105) SSIM (current): 0.9616 (2105) +[2024-05-26 03:04:13,422] - INFO: Evaluation over. +[2024-05-26 03:04:33,974] - INFO: Epoch 2106/9999, Iter 210520: Loss = 0.011646555736660957, lr = [2.5e-05] +[2024-05-26 03:05:01,175] - INFO: Epoch 2106/9999, Iter 210560: Loss = 0.007704099174588919, lr = [2.5e-05] +[2024-05-26 03:05:29,581] - INFO: Epoch 2107/9999, Iter 210600: Loss = 0.009735197760164738, lr = [2.5e-05] +[2024-05-26 03:05:56,884] - INFO: Epoch 2107/9999, Iter 210640: Loss = 0.017763467505574226, lr = [2.5e-05] +[2024-05-26 03:06:24,108] - INFO: Epoch 2107/9999, Iter 210680: Loss = 0.012123477645218372, lr = [2.5e-05] +[2024-05-26 03:06:53,092] - INFO: Epoch 2108/9999, Iter 210720: Loss = 0.01087108813226223, lr = [2.5e-05] +[2024-05-26 03:07:20,284] - INFO: Epoch 2108/9999, Iter 210760: Loss = 0.007486602291464806, lr = [2.5e-05] +[2024-05-26 03:07:48,858] - INFO: Epoch 2109/9999, Iter 210800: Loss = 0.008329816162586212, lr = [2.5e-05] +[2024-05-26 03:08:16,115] - INFO: Epoch 2109/9999, Iter 210840: Loss = 0.014518837444484234, lr = [2.5e-05] +[2024-05-26 03:08:43,418] - INFO: Epoch 2109/9999, Iter 210880: Loss = 0.010960625484585762, lr = [2.5e-05] +[2024-05-26 03:09:12,014] - INFO: Epoch 2110/9999, Iter 210920: Loss = 0.01054187398403883, lr = [2.5e-05] +[2024-05-26 03:09:39,216] - INFO: Epoch 2110/9999, Iter 210960: Loss = 0.010539829730987549, lr = [2.5e-05] +[2024-05-26 03:10:06,242] - INFO: Evaluate at epoch 2110! +[2024-05-26 03:10:10,835] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9616 (2105) +[2024-05-26 03:10:10,835] - INFO: Eval PSNR (current): 38.175 (2110) SSIM (current): 0.9615 (2110) +[2024-05-26 03:10:10,835] - INFO: Evaluation over. +[2024-05-26 03:10:17,626] - INFO: Epoch 2111/9999, Iter 211000: Loss = 0.010034380480647087, lr = [2.5e-05] +[2024-05-26 03:10:44,904] - INFO: Epoch 2111/9999, Iter 211040: Loss = 0.008541286922991276, lr = [2.5e-05] +[2024-05-26 03:11:12,188] - INFO: Epoch 2111/9999, Iter 211080: Loss = 0.010869127698242664, lr = [2.5e-05] +[2024-05-26 03:11:40,738] - INFO: Epoch 2112/9999, Iter 211120: Loss = 0.010503989644348621, lr = [2.5e-05] +[2024-05-26 03:12:07,985] - INFO: Epoch 2112/9999, Iter 211160: Loss = 0.014891006052494049, lr = [2.5e-05] +[2024-05-26 03:12:36,828] - INFO: Epoch 2113/9999, Iter 211200: Loss = 0.007334791123867035, lr = [2.5e-05] +[2024-05-26 03:13:04,158] - INFO: Epoch 2113/9999, Iter 211240: Loss = 0.017987210303544998, lr = [2.5e-05] +[2024-05-26 03:13:31,341] - INFO: Epoch 2113/9999, Iter 211280: Loss = 0.006958708167076111, lr = [2.5e-05] +[2024-05-26 03:14:00,059] - INFO: Epoch 2114/9999, Iter 211320: Loss = 0.009808762930333614, lr = [2.5e-05] +[2024-05-26 03:14:27,299] - INFO: Epoch 2114/9999, Iter 211360: Loss = 0.011356644332408905, lr = [2.5e-05] +[2024-05-26 03:14:55,960] - INFO: Epoch 2115/9999, Iter 211400: Loss = 0.0069688367657363415, lr = [2.5e-05] +[2024-05-26 03:15:23,243] - INFO: Epoch 2115/9999, Iter 211440: Loss = 0.026538457721471786, lr = [2.5e-05] +[2024-05-26 03:15:50,424] - INFO: Epoch 2115/9999, Iter 211480: Loss = 0.017748108133673668, lr = [2.5e-05] +[2024-05-26 03:16:03,708] - INFO: Evaluate at epoch 2115! +[2024-05-26 03:16:13,531] - INFO: Eval PSNR (max): 38.180 (2115) SSIM (max): 0.9616 (2105) +[2024-05-26 03:16:13,532] - INFO: Eval PSNR (current): 38.180 (2115) SSIM (current): 0.9615 (2115) +[2024-05-26 03:16:13,532] - INFO: Evaluation over. +[2024-05-26 03:16:34,072] - INFO: Epoch 2116/9999, Iter 211520: Loss = 0.008971470408141613, lr = [2.5e-05] +[2024-05-26 03:17:01,352] - INFO: Epoch 2116/9999, Iter 211560: Loss = 0.009976656176149845, lr = [2.5e-05] +[2024-05-26 03:17:30,036] - INFO: Epoch 2117/9999, Iter 211600: Loss = 0.00785230565816164, lr = [2.5e-05] +[2024-05-26 03:17:57,407] - INFO: Epoch 2117/9999, Iter 211640: Loss = 0.006491599138826132, lr = [2.5e-05] +[2024-05-26 03:18:24,591] - INFO: Epoch 2117/9999, Iter 211680: Loss = 0.011232146993279457, lr = [2.5e-05] +[2024-05-26 03:18:53,388] - INFO: Epoch 2118/9999, Iter 211720: Loss = 0.014561540447175503, lr = [2.5e-05] +[2024-05-26 03:19:20,642] - INFO: Epoch 2118/9999, Iter 211760: Loss = 0.01651347428560257, lr = [2.5e-05] +[2024-05-26 03:19:49,386] - INFO: Epoch 2119/9999, Iter 211800: Loss = 0.008551944978535175, lr = [2.5e-05] +[2024-05-26 03:20:16,744] - INFO: Epoch 2119/9999, Iter 211840: Loss = 0.010425976477563381, lr = [2.5e-05] +[2024-05-26 03:20:43,959] - INFO: Epoch 2119/9999, Iter 211880: Loss = 0.009582221508026123, lr = [2.5e-05] +[2024-05-26 03:21:12,586] - INFO: Epoch 2120/9999, Iter 211920: Loss = 0.015490246936678886, lr = [2.5e-05] +[2024-05-26 03:21:39,810] - INFO: Epoch 2120/9999, Iter 211960: Loss = 0.012546703219413757, lr = [2.5e-05] +[2024-05-26 03:22:06,744] - INFO: Evaluate at epoch 2120! +[2024-05-26 03:22:16,436] - INFO: Eval PSNR (max): 38.186 (2120) SSIM (max): 0.9616 (2105) +[2024-05-26 03:22:16,437] - INFO: Eval PSNR (current): 38.186 (2120) SSIM (current): 0.9615 (2120) +[2024-05-26 03:22:16,437] - INFO: Evaluation over. +[2024-05-26 03:22:23,240] - INFO: Epoch 2121/9999, Iter 212000: Loss = 0.01160108856856823, lr = [2.5e-05] +[2024-05-26 03:22:50,515] - INFO: Epoch 2121/9999, Iter 212040: Loss = 0.012355602346360683, lr = [2.5e-05] +[2024-05-26 03:23:17,827] - INFO: Epoch 2121/9999, Iter 212080: Loss = 0.006746187806129456, lr = [2.5e-05] +[2024-05-26 03:23:46,537] - INFO: Epoch 2122/9999, Iter 212120: Loss = 0.008149057626724243, lr = [2.5e-05] +[2024-05-26 03:24:13,809] - INFO: Epoch 2122/9999, Iter 212160: Loss = 0.008319062180817127, lr = [2.5e-05] +[2024-05-26 03:24:42,319] - INFO: Epoch 2123/9999, Iter 212200: Loss = 0.019344735890626907, lr = [2.5e-05] +[2024-05-26 03:25:09,593] - INFO: Epoch 2123/9999, Iter 212240: Loss = 0.023434165865182877, lr = [2.5e-05] +[2024-05-26 03:25:36,792] - INFO: Epoch 2123/9999, Iter 212280: Loss = 0.007790065370500088, lr = [2.5e-05] +[2024-05-26 03:26:05,362] - INFO: Epoch 2124/9999, Iter 212320: Loss = 0.012265424244105816, lr = [2.5e-05] +[2024-05-26 03:26:32,583] - INFO: Epoch 2124/9999, Iter 212360: Loss = 0.010177952237427235, lr = [2.5e-05] +[2024-05-26 03:27:01,308] - INFO: Epoch 2125/9999, Iter 212400: Loss = 0.01023704931139946, lr = [2.5e-05] +[2024-05-26 03:27:28,583] - INFO: Epoch 2125/9999, Iter 212440: Loss = 0.014404227025806904, lr = [2.5e-05] +[2024-05-26 03:27:55,844] - INFO: Epoch 2125/9999, Iter 212480: Loss = 0.013143656775355339, lr = [2.5e-05] +[2024-05-26 03:28:09,155] - INFO: Evaluate at epoch 2125! +[2024-05-26 03:28:18,817] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:28:18,818] - INFO: Eval PSNR (current): 38.198 (2125) SSIM (current): 0.9614 (2125) +[2024-05-26 03:28:18,818] - INFO: Evaluation over. +[2024-05-26 03:28:39,474] - INFO: Epoch 2126/9999, Iter 212520: Loss = 0.011769657954573631, lr = [2.5e-05] +[2024-05-26 03:29:06,705] - INFO: Epoch 2126/9999, Iter 212560: Loss = 0.012565006501972675, lr = [2.5e-05] +[2024-05-26 03:29:35,259] - INFO: Epoch 2127/9999, Iter 212600: Loss = 0.00704896729439497, lr = [2.5e-05] +[2024-05-26 03:30:02,603] - INFO: Epoch 2127/9999, Iter 212640: Loss = 0.020509935915470123, lr = [2.5e-05] +[2024-05-26 03:30:29,832] - INFO: Epoch 2127/9999, Iter 212680: Loss = 0.014372280798852444, lr = [2.5e-05] +[2024-05-26 03:30:58,642] - INFO: Epoch 2128/9999, Iter 212720: Loss = 0.011370704509317875, lr = [2.5e-05] +[2024-05-26 03:31:25,855] - INFO: Epoch 2128/9999, Iter 212760: Loss = 0.006058824248611927, lr = [2.5e-05] +[2024-05-26 03:31:54,415] - INFO: Epoch 2129/9999, Iter 212800: Loss = 0.015085975639522076, lr = [2.5e-05] +[2024-05-26 03:32:21,698] - INFO: Epoch 2129/9999, Iter 212840: Loss = 0.024370405822992325, lr = [2.5e-05] +[2024-05-26 03:32:48,970] - INFO: Epoch 2129/9999, Iter 212880: Loss = 0.013545308262109756, lr = [2.5e-05] +[2024-05-26 03:33:17,573] - INFO: Epoch 2130/9999, Iter 212920: Loss = 0.008855683729052544, lr = [2.5e-05] +[2024-05-26 03:33:44,798] - INFO: Epoch 2130/9999, Iter 212960: Loss = 0.015467789955437183, lr = [2.5e-05] +[2024-05-26 03:34:11,718] - INFO: Evaluate at epoch 2130! +[2024-05-26 03:34:16,464] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:34:16,464] - INFO: Eval PSNR (current): 38.181 (2130) SSIM (current): 0.9615 (2130) +[2024-05-26 03:34:16,465] - INFO: Evaluation over. +[2024-05-26 03:34:23,112] - INFO: Epoch 2131/9999, Iter 213000: Loss = 0.015144041739404202, lr = [2.5e-05] +[2024-05-26 03:34:50,417] - INFO: Epoch 2131/9999, Iter 213040: Loss = 0.018559740856289864, lr = [2.5e-05] +[2024-05-26 03:35:17,663] - INFO: Epoch 2131/9999, Iter 213080: Loss = 0.011898121796548367, lr = [2.5e-05] +[2024-05-26 03:35:46,415] - INFO: Epoch 2132/9999, Iter 213120: Loss = 0.020895598456263542, lr = [2.5e-05] +[2024-05-26 03:36:13,627] - INFO: Epoch 2132/9999, Iter 213160: Loss = 0.011398577131330967, lr = [2.5e-05] +[2024-05-26 03:36:42,286] - INFO: Epoch 2133/9999, Iter 213200: Loss = 0.014156324788928032, lr = [2.5e-05] +[2024-05-26 03:37:09,540] - INFO: Epoch 2133/9999, Iter 213240: Loss = 0.012782042846083641, lr = [2.5e-05] +[2024-05-26 03:37:36,704] - INFO: Epoch 2133/9999, Iter 213280: Loss = 0.016730157658457756, lr = [2.5e-05] +[2024-05-26 03:38:05,294] - INFO: Epoch 2134/9999, Iter 213320: Loss = 0.009624175727367401, lr = [2.5e-05] +[2024-05-26 03:38:32,511] - INFO: Epoch 2134/9999, Iter 213360: Loss = 0.012004489079117775, lr = [2.5e-05] +[2024-05-26 03:39:01,229] - INFO: Epoch 2135/9999, Iter 213400: Loss = 0.015634333714842796, lr = [2.5e-05] +[2024-05-26 03:39:28,515] - INFO: Epoch 2135/9999, Iter 213440: Loss = 0.0137081453576684, lr = [2.5e-05] +[2024-05-26 03:39:55,733] - INFO: Epoch 2135/9999, Iter 213480: Loss = 0.011595171876251698, lr = [2.5e-05] +[2024-05-26 03:40:09,078] - INFO: Evaluate at epoch 2135! +[2024-05-26 03:40:13,556] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:40:13,556] - INFO: Eval PSNR (current): 38.195 (2135) SSIM (current): 0.9615 (2135) +[2024-05-26 03:40:13,556] - INFO: Evaluation over. +[2024-05-26 03:40:33,975] - INFO: Epoch 2136/9999, Iter 213520: Loss = 0.007399904076009989, lr = [2.5e-05] +[2024-05-26 03:41:01,146] - INFO: Epoch 2136/9999, Iter 213560: Loss = 0.008540475741028786, lr = [2.5e-05] +[2024-05-26 03:41:29,678] - INFO: Epoch 2137/9999, Iter 213600: Loss = 0.019900253042578697, lr = [2.5e-05] +[2024-05-26 03:41:56,844] - INFO: Epoch 2137/9999, Iter 213640: Loss = 0.009483927860856056, lr = [2.5e-05] +[2024-05-26 03:42:24,106] - INFO: Epoch 2137/9999, Iter 213680: Loss = 0.014607816003262997, lr = [2.5e-05] +[2024-05-26 03:42:52,919] - INFO: Epoch 2138/9999, Iter 213720: Loss = 0.01018664613366127, lr = [2.5e-05] +[2024-05-26 03:43:20,110] - INFO: Epoch 2138/9999, Iter 213760: Loss = 0.014569933526217937, lr = [2.5e-05] +[2024-05-26 03:43:48,833] - INFO: Epoch 2139/9999, Iter 213800: Loss = 0.011348305270075798, lr = [2.5e-05] +[2024-05-26 03:44:16,294] - INFO: Epoch 2139/9999, Iter 213840: Loss = 0.011992393061518669, lr = [2.5e-05] +[2024-05-26 03:44:43,469] - INFO: Epoch 2139/9999, Iter 213880: Loss = 0.013067365624010563, lr = [2.5e-05] +[2024-05-26 03:45:12,073] - INFO: Epoch 2140/9999, Iter 213920: Loss = 0.012101809494197369, lr = [2.5e-05] +[2024-05-26 03:45:39,329] - INFO: Epoch 2140/9999, Iter 213960: Loss = 0.008838397450745106, lr = [2.5e-05] +[2024-05-26 03:46:06,276] - INFO: Evaluate at epoch 2140! +[2024-05-26 03:46:10,984] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:46:10,984] - INFO: Eval PSNR (current): 38.157 (2140) SSIM (current): 0.9615 (2140) +[2024-05-26 03:46:10,984] - INFO: Evaluation over. +[2024-05-26 03:46:17,836] - INFO: Epoch 2141/9999, Iter 214000: Loss = 0.01362206693738699, lr = [2.5e-05] +[2024-05-26 03:46:45,173] - INFO: Epoch 2141/9999, Iter 214040: Loss = 0.022835979238152504, lr = [2.5e-05] +[2024-05-26 03:47:12,326] - INFO: Epoch 2141/9999, Iter 214080: Loss = 0.008662772364914417, lr = [2.5e-05] +[2024-05-26 03:47:40,895] - INFO: Epoch 2142/9999, Iter 214120: Loss = 0.004814065061509609, lr = [2.5e-05] +[2024-05-26 03:48:08,086] - INFO: Epoch 2142/9999, Iter 214160: Loss = 0.006794102489948273, lr = [2.5e-05] +[2024-05-26 03:48:36,951] - INFO: Epoch 2143/9999, Iter 214200: Loss = 0.010741567239165306, lr = [2.5e-05] +[2024-05-26 03:49:04,194] - INFO: Epoch 2143/9999, Iter 214240: Loss = 0.007837466895580292, lr = [2.5e-05] +[2024-05-26 03:49:31,402] - INFO: Epoch 2143/9999, Iter 214280: Loss = 0.013869849033653736, lr = [2.5e-05] +[2024-05-26 03:50:00,048] - INFO: Epoch 2144/9999, Iter 214320: Loss = 0.01822659559547901, lr = [2.5e-05] +[2024-05-26 03:50:27,247] - INFO: Epoch 2144/9999, Iter 214360: Loss = 0.011533616110682487, lr = [2.5e-05] +[2024-05-26 03:50:55,842] - INFO: Epoch 2145/9999, Iter 214400: Loss = 0.016547376289963722, lr = [2.5e-05] +[2024-05-26 03:51:23,149] - INFO: Epoch 2145/9999, Iter 214440: Loss = 0.01749255135655403, lr = [2.5e-05] +[2024-05-26 03:51:50,351] - INFO: Epoch 2145/9999, Iter 214480: Loss = 0.00988064892590046, lr = [2.5e-05] +[2024-05-26 03:52:03,690] - INFO: Evaluate at epoch 2145! +[2024-05-26 03:52:08,191] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:52:08,191] - INFO: Eval PSNR (current): 38.160 (2145) SSIM (current): 0.9614 (2145) +[2024-05-26 03:52:08,191] - INFO: Evaluation over. +[2024-05-26 03:52:28,707] - INFO: Epoch 2146/9999, Iter 214520: Loss = 0.010713757947087288, lr = [2.5e-05] +[2024-05-26 03:52:55,976] - INFO: Epoch 2146/9999, Iter 214560: Loss = 0.008265776559710503, lr = [2.5e-05] +[2024-05-26 03:53:24,736] - INFO: Epoch 2147/9999, Iter 214600: Loss = 0.01800333708524704, lr = [2.5e-05] +[2024-05-26 03:53:52,048] - INFO: Epoch 2147/9999, Iter 214640: Loss = 0.007497075013816357, lr = [2.5e-05] +[2024-05-26 03:54:19,246] - INFO: Epoch 2147/9999, Iter 214680: Loss = 0.019122997298836708, lr = [2.5e-05] +[2024-05-26 03:54:47,929] - INFO: Epoch 2148/9999, Iter 214720: Loss = 0.007776095997542143, lr = [2.5e-05] +[2024-05-26 03:55:15,144] - INFO: Epoch 2148/9999, Iter 214760: Loss = 0.007524450309574604, lr = [2.5e-05] +[2024-05-26 03:55:43,563] - INFO: Epoch 2149/9999, Iter 214800: Loss = 0.013250039890408516, lr = [2.5e-05] +[2024-05-26 03:56:10,975] - INFO: Epoch 2149/9999, Iter 214840: Loss = 0.007426882162690163, lr = [2.5e-05] +[2024-05-26 03:56:38,169] - INFO: Epoch 2149/9999, Iter 214880: Loss = 0.005603940226137638, lr = [2.5e-05] +[2024-05-26 03:57:06,915] - INFO: Epoch 2150/9999, Iter 214920: Loss = 0.017392894253134727, lr = [2.5e-05] +[2024-05-26 03:57:34,135] - INFO: Epoch 2150/9999, Iter 214960: Loss = 0.014571696519851685, lr = [2.5e-05] +[2024-05-26 03:58:01,018] - INFO: Evaluate at epoch 2150! +[2024-05-26 03:58:05,586] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:58:05,586] - INFO: Eval PSNR (current): 38.146 (2150) SSIM (current): 0.9615 (2150) +[2024-05-26 03:58:05,586] - INFO: Evaluation over. +[2024-05-26 03:58:12,216] - INFO: Epoch 2151/9999, Iter 215000: Loss = 0.015922127291560173, lr = [2.5e-05] +[2024-05-26 03:58:39,480] - INFO: Epoch 2151/9999, Iter 215040: Loss = 0.008111833594739437, lr = [2.5e-05] +[2024-05-26 03:59:06,665] - INFO: Epoch 2151/9999, Iter 215080: Loss = 0.01193199586123228, lr = [2.5e-05] +[2024-05-26 03:59:35,296] - INFO: Epoch 2152/9999, Iter 215120: Loss = 0.013896288350224495, lr = [2.5e-05] +[2024-05-26 04:00:02,488] - INFO: Epoch 2152/9999, Iter 215160: Loss = 0.0131608247756958, lr = [2.5e-05] +[2024-05-26 04:00:31,081] - INFO: Epoch 2153/9999, Iter 215200: Loss = 0.011456865817308426, lr = [2.5e-05] +[2024-05-26 04:00:58,408] - INFO: Epoch 2153/9999, Iter 215240: Loss = 0.014495663344860077, lr = [2.5e-05] +[2024-05-26 04:01:25,668] - INFO: Epoch 2153/9999, Iter 215280: Loss = 0.008735076524317265, lr = [2.5e-05] +[2024-05-26 04:01:54,307] - INFO: Epoch 2154/9999, Iter 215320: Loss = 0.014395017176866531, lr = [2.5e-05] +[2024-05-26 04:02:21,520] - INFO: Epoch 2154/9999, Iter 215360: Loss = 0.01573493890464306, lr = [2.5e-05] +[2024-05-26 04:02:50,056] - INFO: Epoch 2155/9999, Iter 215400: Loss = 0.019183246418833733, lr = [2.5e-05] +[2024-05-26 04:03:17,372] - INFO: Epoch 2155/9999, Iter 215440: Loss = 0.02219395339488983, lr = [2.5e-05] +[2024-05-26 04:03:44,649] - INFO: Epoch 2155/9999, Iter 215480: Loss = 0.012277073226869106, lr = [2.5e-05] +[2024-05-26 04:03:57,977] - INFO: Evaluate at epoch 2155! +[2024-05-26 04:04:02,572] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:04:02,572] - INFO: Eval PSNR (current): 38.175 (2155) SSIM (current): 0.9615 (2155) +[2024-05-26 04:04:02,572] - INFO: Evaluation over. +[2024-05-26 04:04:23,176] - INFO: Epoch 2156/9999, Iter 215520: Loss = 0.014650803990662098, lr = [2.5e-05] +[2024-05-26 04:04:50,481] - INFO: Epoch 2156/9999, Iter 215560: Loss = 0.00814933329820633, lr = [2.5e-05] +[2024-05-26 04:05:19,076] - INFO: Epoch 2157/9999, Iter 215600: Loss = 0.019126299768686295, lr = [2.5e-05] +[2024-05-26 04:05:46,366] - INFO: Epoch 2157/9999, Iter 215640: Loss = 0.015228379517793655, lr = [2.5e-05] +[2024-05-26 04:06:13,542] - INFO: Epoch 2157/9999, Iter 215680: Loss = 0.012853322550654411, lr = [2.5e-05] +[2024-05-26 04:06:42,334] - INFO: Epoch 2158/9999, Iter 215720: Loss = 0.013661907985806465, lr = [2.5e-05] +[2024-05-26 04:07:09,627] - INFO: Epoch 2158/9999, Iter 215760: Loss = 0.006997863296419382, lr = [2.5e-05] +[2024-05-26 04:07:38,232] - INFO: Epoch 2159/9999, Iter 215800: Loss = 0.00845737848430872, lr = [2.5e-05] +[2024-05-26 04:08:05,476] - INFO: Epoch 2159/9999, Iter 215840: Loss = 0.01566271483898163, lr = [2.5e-05] +[2024-05-26 04:08:32,770] - INFO: Epoch 2159/9999, Iter 215880: Loss = 0.015175295993685722, lr = [2.5e-05] +[2024-05-26 04:09:01,283] - INFO: Epoch 2160/9999, Iter 215920: Loss = 0.009516065008938313, lr = [2.5e-05] +[2024-05-26 04:09:28,492] - INFO: Epoch 2160/9999, Iter 215960: Loss = 0.013195428997278214, lr = [2.5e-05] +[2024-05-26 04:09:55,357] - INFO: Evaluate at epoch 2160! +[2024-05-26 04:09:59,911] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:09:59,912] - INFO: Eval PSNR (current): 38.189 (2160) SSIM (current): 0.9615 (2160) +[2024-05-26 04:09:59,912] - INFO: Evaluation over. +[2024-05-26 04:10:06,949] - INFO: Epoch 2161/9999, Iter 216000: Loss = 0.022148605436086655, lr = [2.5e-05] +[2024-05-26 04:10:34,271] - INFO: Epoch 2161/9999, Iter 216040: Loss = 0.013488298282027245, lr = [2.5e-05] +[2024-05-26 04:11:01,522] - INFO: Epoch 2161/9999, Iter 216080: Loss = 0.011270808055996895, lr = [2.5e-05] +[2024-05-26 04:11:30,294] - INFO: Epoch 2162/9999, Iter 216120: Loss = 0.007633189205080271, lr = [2.5e-05] +[2024-05-26 04:11:57,547] - INFO: Epoch 2162/9999, Iter 216160: Loss = 0.010608833283185959, lr = [2.5e-05] +[2024-05-26 04:12:26,025] - INFO: Epoch 2163/9999, Iter 216200: Loss = 0.016548728570342064, lr = [2.5e-05] +[2024-05-26 04:12:53,302] - INFO: Epoch 2163/9999, Iter 216240: Loss = 0.008755863644182682, lr = [2.5e-05] +[2024-05-26 04:13:20,546] - INFO: Epoch 2163/9999, Iter 216280: Loss = 0.00476496247574687, lr = [2.5e-05] +[2024-05-26 04:13:49,508] - INFO: Epoch 2164/9999, Iter 216320: Loss = 0.0065545919351279736, lr = [2.5e-05] +[2024-05-26 04:14:16,721] - INFO: Epoch 2164/9999, Iter 216360: Loss = 0.009918577037751675, lr = [2.5e-05] +[2024-05-26 04:14:45,224] - INFO: Epoch 2165/9999, Iter 216400: Loss = 0.015560203231871128, lr = [2.5e-05] +[2024-05-26 04:15:12,575] - INFO: Epoch 2165/9999, Iter 216440: Loss = 0.014084398746490479, lr = [2.5e-05] +[2024-05-26 04:15:39,882] - INFO: Epoch 2165/9999, Iter 216480: Loss = 0.008679704740643501, lr = [2.5e-05] +[2024-05-26 04:15:53,157] - INFO: Evaluate at epoch 2165! +[2024-05-26 04:15:57,616] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:15:57,616] - INFO: Eval PSNR (current): 38.188 (2165) SSIM (current): 0.9615 (2165) +[2024-05-26 04:15:57,616] - INFO: Evaluation over. +[2024-05-26 04:16:18,049] - INFO: Epoch 2166/9999, Iter 216520: Loss = 0.026935504749417305, lr = [2.5e-05] +[2024-05-26 04:16:45,275] - INFO: Epoch 2166/9999, Iter 216560: Loss = 0.022427426651120186, lr = [2.5e-05] +[2024-05-26 04:17:13,704] - INFO: Epoch 2167/9999, Iter 216600: Loss = 0.011866736225783825, lr = [2.5e-05] +[2024-05-26 04:17:40,991] - INFO: Epoch 2167/9999, Iter 216640: Loss = 0.0140891894698143, lr = [2.5e-05] +[2024-05-26 04:18:08,184] - INFO: Epoch 2167/9999, Iter 216680: Loss = 0.010334406048059464, lr = [2.5e-05] +[2024-05-26 04:18:36,840] - INFO: Epoch 2168/9999, Iter 216720: Loss = 0.011736713349819183, lr = [2.5e-05] +[2024-05-26 04:19:04,068] - INFO: Epoch 2168/9999, Iter 216760: Loss = 0.02275749482214451, lr = [2.5e-05] +[2024-05-26 04:19:32,532] - INFO: Epoch 2169/9999, Iter 216800: Loss = 0.00997828133404255, lr = [2.5e-05] +[2024-05-26 04:19:59,898] - INFO: Epoch 2169/9999, Iter 216840: Loss = 0.021750986576080322, lr = [2.5e-05] +[2024-05-26 04:20:27,160] - INFO: Epoch 2169/9999, Iter 216880: Loss = 0.02050044946372509, lr = [2.5e-05] +[2024-05-26 04:20:55,811] - INFO: Epoch 2170/9999, Iter 216920: Loss = 0.019720306620001793, lr = [2.5e-05] +[2024-05-26 04:21:23,009] - INFO: Epoch 2170/9999, Iter 216960: Loss = 0.00877446960657835, lr = [2.5e-05] +[2024-05-26 04:21:49,945] - INFO: Evaluate at epoch 2170! +[2024-05-26 04:21:54,453] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:21:54,453] - INFO: Eval PSNR (current): 38.177 (2170) SSIM (current): 0.9615 (2170) +[2024-05-26 04:21:54,453] - INFO: Evaluation over. +[2024-05-26 04:22:01,472] - INFO: Epoch 2171/9999, Iter 217000: Loss = 0.014823399484157562, lr = [2.5e-05] +[2024-05-26 04:22:28,804] - INFO: Epoch 2171/9999, Iter 217040: Loss = 0.009637049399316311, lr = [2.5e-05] +[2024-05-26 04:22:55,997] - INFO: Epoch 2171/9999, Iter 217080: Loss = 0.013561558909714222, lr = [2.5e-05] +[2024-05-26 04:23:24,647] - INFO: Epoch 2172/9999, Iter 217120: Loss = 0.014301673509180546, lr = [2.5e-05] +[2024-05-26 04:23:51,818] - INFO: Epoch 2172/9999, Iter 217160: Loss = 0.011785374954342842, lr = [2.5e-05] +[2024-05-26 04:24:20,624] - INFO: Epoch 2173/9999, Iter 217200: Loss = 0.016079571098089218, lr = [2.5e-05] +[2024-05-26 04:24:47,910] - INFO: Epoch 2173/9999, Iter 217240: Loss = 0.0114244744181633, lr = [2.5e-05] +[2024-05-26 04:25:15,216] - INFO: Epoch 2173/9999, Iter 217280: Loss = 0.009281767532229424, lr = [2.5e-05] +[2024-05-26 04:25:43,847] - INFO: Epoch 2174/9999, Iter 217320: Loss = 0.01236653234809637, lr = [2.5e-05] +[2024-05-26 04:26:11,026] - INFO: Epoch 2174/9999, Iter 217360: Loss = 0.010721190832555294, lr = [2.5e-05] +[2024-05-26 04:26:39,829] - INFO: Epoch 2175/9999, Iter 217400: Loss = 0.010081777349114418, lr = [2.5e-05] +[2024-05-26 04:27:07,070] - INFO: Epoch 2175/9999, Iter 217440: Loss = 0.011226694099605083, lr = [2.5e-05] +[2024-05-26 04:27:34,260] - INFO: Epoch 2175/9999, Iter 217480: Loss = 0.010542995296418667, lr = [2.5e-05] +[2024-05-26 04:27:47,545] - INFO: Evaluate at epoch 2175! +[2024-05-26 04:27:52,173] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:27:52,174] - INFO: Eval PSNR (current): 38.180 (2175) SSIM (current): 0.9615 (2175) +[2024-05-26 04:27:52,174] - INFO: Evaluation over. +[2024-05-26 04:28:12,539] - INFO: Epoch 2176/9999, Iter 217520: Loss = 0.014363870024681091, lr = [2.5e-05] +[2024-05-26 04:28:39,764] - INFO: Epoch 2176/9999, Iter 217560: Loss = 0.012164842337369919, lr = [2.5e-05] +[2024-05-26 04:29:08,228] - INFO: Epoch 2177/9999, Iter 217600: Loss = 0.018533527851104736, lr = [2.5e-05] +[2024-05-26 04:29:35,490] - INFO: Epoch 2177/9999, Iter 217640: Loss = 0.013686059042811394, lr = [2.5e-05] +[2024-05-26 04:30:02,738] - INFO: Epoch 2177/9999, Iter 217680: Loss = 0.018008286133408546, lr = [2.5e-05] +[2024-05-26 04:30:31,224] - INFO: Epoch 2178/9999, Iter 217720: Loss = 0.012692639604210854, lr = [2.5e-05] +[2024-05-26 04:30:58,476] - INFO: Epoch 2178/9999, Iter 217760: Loss = 0.01601150445640087, lr = [2.5e-05] +[2024-05-26 04:31:27,228] - INFO: Epoch 2179/9999, Iter 217800: Loss = 0.009903392754495144, lr = [2.5e-05] +[2024-05-26 04:31:54,514] - INFO: Epoch 2179/9999, Iter 217840: Loss = 0.010734699666500092, lr = [2.5e-05] +[2024-05-26 04:32:21,697] - INFO: Epoch 2179/9999, Iter 217880: Loss = 0.0067390138283371925, lr = [2.5e-05] +[2024-05-26 04:32:50,443] - INFO: Epoch 2180/9999, Iter 217920: Loss = 0.0146257895976305, lr = [2.5e-05] +[2024-05-26 04:33:17,677] - INFO: Epoch 2180/9999, Iter 217960: Loss = 0.007216936908662319, lr = [2.5e-05] +[2024-05-26 04:33:44,572] - INFO: Evaluate at epoch 2180! +[2024-05-26 04:33:49,143] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:33:49,144] - INFO: Eval PSNR (current): 38.194 (2180) SSIM (current): 0.9614 (2180) +[2024-05-26 04:33:49,144] - INFO: Evaluation over. +[2024-05-26 04:33:55,775] - INFO: Epoch 2181/9999, Iter 218000: Loss = 0.02073071151971817, lr = [2.5e-05] +[2024-05-26 04:34:23,091] - INFO: Epoch 2181/9999, Iter 218040: Loss = 0.010700790211558342, lr = [2.5e-05] +[2024-05-26 04:34:50,326] - INFO: Epoch 2181/9999, Iter 218080: Loss = 0.016769681125879288, lr = [2.5e-05] +[2024-05-26 04:35:18,939] - INFO: Epoch 2182/9999, Iter 218120: Loss = 0.013714812695980072, lr = [2.5e-05] +[2024-05-26 04:35:46,106] - INFO: Epoch 2182/9999, Iter 218160: Loss = 0.017012694850564003, lr = [2.5e-05] +[2024-05-26 04:36:14,756] - INFO: Epoch 2183/9999, Iter 218200: Loss = 0.01375990267843008, lr = [2.5e-05] +[2024-05-26 04:36:42,099] - INFO: Epoch 2183/9999, Iter 218240: Loss = 0.01735260896384716, lr = [2.5e-05] +[2024-05-26 04:37:09,330] - INFO: Epoch 2183/9999, Iter 218280: Loss = 0.007738924585282803, lr = [2.5e-05] +[2024-05-26 04:37:38,089] - INFO: Epoch 2184/9999, Iter 218320: Loss = 0.017992136999964714, lr = [2.5e-05] +[2024-05-26 04:38:05,326] - INFO: Epoch 2184/9999, Iter 218360: Loss = 0.015163428150117397, lr = [2.5e-05] +[2024-05-26 04:38:33,761] - INFO: Epoch 2185/9999, Iter 218400: Loss = 0.015282687731087208, lr = [2.5e-05] +[2024-05-26 04:39:01,146] - INFO: Epoch 2185/9999, Iter 218440: Loss = 0.008070984855294228, lr = [2.5e-05] +[2024-05-26 04:39:28,367] - INFO: Epoch 2185/9999, Iter 218480: Loss = 0.009744399227201939, lr = [2.5e-05] +[2024-05-26 04:39:41,673] - INFO: Evaluate at epoch 2185! +[2024-05-26 04:39:46,267] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:39:46,267] - INFO: Eval PSNR (current): 38.193 (2185) SSIM (current): 0.9615 (2185) +[2024-05-26 04:39:46,268] - INFO: Evaluation over. +[2024-05-26 04:40:06,658] - INFO: Epoch 2186/9999, Iter 218520: Loss = 0.005262184888124466, lr = [2.5e-05] +[2024-05-26 04:40:33,866] - INFO: Epoch 2186/9999, Iter 218560: Loss = 0.012950856238603592, lr = [2.5e-05] +[2024-05-26 04:41:02,434] - INFO: Epoch 2187/9999, Iter 218600: Loss = 0.010641874745488167, lr = [2.5e-05] +[2024-05-26 04:41:29,798] - INFO: Epoch 2187/9999, Iter 218640: Loss = 0.012379203923046589, lr = [2.5e-05] +[2024-05-26 04:41:57,013] - INFO: Epoch 2187/9999, Iter 218680: Loss = 0.015221983194351196, lr = [2.5e-05] +[2024-05-26 04:42:25,872] - INFO: Epoch 2188/9999, Iter 218720: Loss = 0.01432731468230486, lr = [2.5e-05] +[2024-05-26 04:42:53,074] - INFO: Epoch 2188/9999, Iter 218760: Loss = 0.01144691277295351, lr = [2.5e-05] +[2024-05-26 04:43:21,527] - INFO: Epoch 2189/9999, Iter 218800: Loss = 0.010230700485408306, lr = [2.5e-05] +[2024-05-26 04:43:48,855] - INFO: Epoch 2189/9999, Iter 218840: Loss = 0.01512646023184061, lr = [2.5e-05] +[2024-05-26 04:44:16,127] - INFO: Epoch 2189/9999, Iter 218880: Loss = 0.016216957941651344, lr = [2.5e-05] +[2024-05-26 04:44:44,912] - INFO: Epoch 2190/9999, Iter 218920: Loss = 0.013273237273097038, lr = [2.5e-05] +[2024-05-26 04:45:12,154] - INFO: Epoch 2190/9999, Iter 218960: Loss = 0.01155799813568592, lr = [2.5e-05] +[2024-05-26 04:45:39,055] - INFO: Evaluate at epoch 2190! +[2024-05-26 04:45:43,782] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:45:43,782] - INFO: Eval PSNR (current): 38.190 (2190) SSIM (current): 0.9614 (2190) +[2024-05-26 04:45:43,782] - INFO: Evaluation over. +[2024-05-26 04:45:50,520] - INFO: Epoch 2191/9999, Iter 219000: Loss = 0.00927961990237236, lr = [2.5e-05] +[2024-05-26 04:46:17,861] - INFO: Epoch 2191/9999, Iter 219040: Loss = 0.010642237029969692, lr = [2.5e-05] +[2024-05-26 04:46:45,129] - INFO: Epoch 2191/9999, Iter 219080: Loss = 0.008556345477700233, lr = [2.5e-05] +[2024-05-26 04:47:13,637] - INFO: Epoch 2192/9999, Iter 219120: Loss = 0.012383503839373589, lr = [2.5e-05] +[2024-05-26 04:47:40,849] - INFO: Epoch 2192/9999, Iter 219160: Loss = 0.018741047009825706, lr = [2.5e-05] +[2024-05-26 04:48:09,522] - INFO: Epoch 2193/9999, Iter 219200: Loss = 0.014864365570247173, lr = [2.5e-05] +[2024-05-26 04:48:36,863] - INFO: Epoch 2193/9999, Iter 219240: Loss = 0.00815517921000719, lr = [2.5e-05] +[2024-05-26 04:49:04,070] - INFO: Epoch 2193/9999, Iter 219280: Loss = 0.009880506433546543, lr = [2.5e-05] +[2024-05-26 04:49:32,774] - INFO: Epoch 2194/9999, Iter 219320: Loss = 0.012847492471337318, lr = [2.5e-05] +[2024-05-26 04:50:00,009] - INFO: Epoch 2194/9999, Iter 219360: Loss = 0.010751158930361271, lr = [2.5e-05] +[2024-05-26 04:50:28,716] - INFO: Epoch 2195/9999, Iter 219400: Loss = 0.011423512361943722, lr = [2.5e-05] +[2024-05-26 04:50:56,014] - INFO: Epoch 2195/9999, Iter 219440: Loss = 0.012950480915606022, lr = [2.5e-05] +[2024-05-26 04:51:23,215] - INFO: Epoch 2195/9999, Iter 219480: Loss = 0.011902043595910072, lr = [2.5e-05] +[2024-05-26 04:51:36,543] - INFO: Evaluate at epoch 2195! +[2024-05-26 04:51:41,235] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:51:41,235] - INFO: Eval PSNR (current): 38.182 (2195) SSIM (current): 0.9615 (2195) +[2024-05-26 04:51:41,235] - INFO: Evaluation over. +[2024-05-26 04:52:01,671] - INFO: Epoch 2196/9999, Iter 219520: Loss = 0.019448580220341682, lr = [2.5e-05] +[2024-05-26 04:52:28,902] - INFO: Epoch 2196/9999, Iter 219560: Loss = 0.018693050369620323, lr = [2.5e-05] +[2024-05-26 04:52:57,576] - INFO: Epoch 2197/9999, Iter 219600: Loss = 0.009164037182927132, lr = [2.5e-05] +[2024-05-26 04:53:24,919] - INFO: Epoch 2197/9999, Iter 219640: Loss = 0.0073501612059772015, lr = [2.5e-05] +[2024-05-26 04:53:52,060] - INFO: Epoch 2197/9999, Iter 219680: Loss = 0.014854952692985535, lr = [2.5e-05] +[2024-05-26 04:54:20,663] - INFO: Epoch 2198/9999, Iter 219720: Loss = 0.007955363020300865, lr = [2.5e-05] +[2024-05-26 04:54:47,883] - INFO: Epoch 2198/9999, Iter 219760: Loss = 0.013697260059416294, lr = [2.5e-05] +[2024-05-26 04:55:16,420] - INFO: Epoch 2199/9999, Iter 219800: Loss = 0.010880272835493088, lr = [2.5e-05] +[2024-05-26 04:55:43,728] - INFO: Epoch 2199/9999, Iter 219840: Loss = 0.016443002969026566, lr = [2.5e-05] +[2024-05-26 04:56:10,982] - INFO: Epoch 2199/9999, Iter 219880: Loss = 0.013000203296542168, lr = [2.5e-05] +[2024-05-26 04:56:39,624] - INFO: Epoch 2200/9999, Iter 219920: Loss = 0.025196995586156845, lr = [2.5e-05] +[2024-05-26 04:57:06,816] - INFO: Epoch 2200/9999, Iter 219960: Loss = 0.017635269090533257, lr = [2.5e-05] +[2024-05-26 04:57:33,764] - INFO: Evaluate at epoch 2200! +[2024-05-26 04:57:38,333] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:57:38,333] - INFO: Eval PSNR (current): 38.126 (2200) SSIM (current): 0.9613 (2200) +[2024-05-26 04:57:38,333] - INFO: Evaluation over. +[2024-05-26 04:57:45,106] - INFO: Epoch 2201/9999, Iter 220000: Loss = 0.009637236595153809, lr = [2.5e-05] +[2024-05-26 04:58:12,391] - INFO: Epoch 2201/9999, Iter 220040: Loss = 0.015028971247375011, lr = [2.5e-05] +[2024-05-26 04:58:39,751] - INFO: Epoch 2201/9999, Iter 220080: Loss = 0.010255084373056889, lr = [2.5e-05] +[2024-05-26 04:59:08,635] - INFO: Epoch 2202/9999, Iter 220120: Loss = 0.014584849588572979, lr = [2.5e-05] +[2024-05-26 04:59:35,844] - INFO: Epoch 2202/9999, Iter 220160: Loss = 0.010196561925113201, lr = [2.5e-05] +[2024-05-26 05:00:04,356] - INFO: Epoch 2203/9999, Iter 220200: Loss = 0.007959007285535336, lr = [2.5e-05] +[2024-05-26 05:00:31,695] - INFO: Epoch 2203/9999, Iter 220240: Loss = 0.012618131004273891, lr = [2.5e-05] +[2024-05-26 05:00:58,885] - INFO: Epoch 2203/9999, Iter 220280: Loss = 0.011472445912659168, lr = [2.5e-05] +[2024-05-26 05:01:27,399] - INFO: Epoch 2204/9999, Iter 220320: Loss = 0.010599350556731224, lr = [2.5e-05] +[2024-05-26 05:01:54,671] - INFO: Epoch 2204/9999, Iter 220360: Loss = 0.013898476958274841, lr = [2.5e-05] +[2024-05-26 05:02:23,048] - INFO: Epoch 2205/9999, Iter 220400: Loss = 0.00566635699942708, lr = [2.5e-05] +[2024-05-26 05:02:50,383] - INFO: Epoch 2205/9999, Iter 220440: Loss = 0.009970582090318203, lr = [2.5e-05] +[2024-05-26 05:03:17,641] - INFO: Epoch 2205/9999, Iter 220480: Loss = 0.010962974280118942, lr = [2.5e-05] +[2024-05-26 05:03:30,939] - INFO: Evaluate at epoch 2205! +[2024-05-26 05:03:35,641] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 05:03:35,642] - INFO: Eval PSNR (current): 38.187 (2205) SSIM (current): 0.9615 (2205) +[2024-05-26 05:03:35,642] - INFO: Evaluation over. +[2024-05-26 05:03:56,111] - INFO: Epoch 2206/9999, Iter 220520: Loss = 0.018079696223139763, lr = [2.5e-05] +[2024-05-26 05:04:23,271] - INFO: Epoch 2206/9999, Iter 220560: Loss = 0.017702627927064896, lr = [2.5e-05] +[2024-05-26 05:04:51,899] - INFO: Epoch 2207/9999, Iter 220600: Loss = 0.012291878461837769, lr = [2.5e-05] +[2024-05-26 05:05:19,246] - INFO: Epoch 2207/9999, Iter 220640: Loss = 0.010258608497679234, lr = [2.5e-05] +[2024-05-26 05:05:46,427] - INFO: Epoch 2207/9999, Iter 220680: Loss = 0.010624737478792667, lr = [2.5e-05] +[2024-05-26 05:06:15,161] - INFO: Epoch 2208/9999, Iter 220720: Loss = 0.007525581866502762, lr = [2.5e-05] +[2024-05-26 05:06:42,393] - INFO: Epoch 2208/9999, Iter 220760: Loss = 0.024316634982824326, lr = [2.5e-05] +[2024-05-26 05:07:10,906] - INFO: Epoch 2209/9999, Iter 220800: Loss = 0.011831946671009064, lr = [2.5e-05] +[2024-05-26 05:07:38,235] - INFO: Epoch 2209/9999, Iter 220840: Loss = 0.013205637224018574, lr = [2.5e-05] +[2024-05-26 05:08:05,423] - INFO: Epoch 2209/9999, Iter 220880: Loss = 0.010052305646240711, lr = [2.5e-05] +[2024-05-26 05:08:33,894] - INFO: Epoch 2210/9999, Iter 220920: Loss = 0.010261036455631256, lr = [2.5e-05] +[2024-05-26 05:09:01,095] - INFO: Epoch 2210/9999, Iter 220960: Loss = 0.016728416085243225, lr = [2.5e-05] +[2024-05-26 05:09:27,997] - INFO: Evaluate at epoch 2210! +[2024-05-26 05:09:38,060] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2210) +[2024-05-26 05:09:38,060] - INFO: Eval PSNR (current): 38.191 (2210) SSIM (current): 0.9616 (2210) +[2024-05-26 05:09:38,061] - INFO: Evaluation over. +[2024-05-26 05:09:44,940] - INFO: Epoch 2211/9999, Iter 221000: Loss = 0.010373476892709732, lr = [2.5e-05] +[2024-05-26 05:10:12,170] - INFO: Epoch 2211/9999, Iter 221040: Loss = 0.025231892243027687, lr = [2.5e-05] +[2024-05-26 05:10:39,403] - INFO: Epoch 2211/9999, Iter 221080: Loss = 0.012780986726284027, lr = [2.5e-05] +[2024-05-26 05:11:08,118] - INFO: Epoch 2212/9999, Iter 221120: Loss = 0.013977158814668655, lr = [2.5e-05] +[2024-05-26 05:11:35,361] - INFO: Epoch 2212/9999, Iter 221160: Loss = 0.02112135849893093, lr = [2.5e-05] +[2024-05-26 05:12:03,868] - INFO: Epoch 2213/9999, Iter 221200: Loss = 0.012748251669108868, lr = [2.5e-05] +[2024-05-26 05:12:31,167] - INFO: Epoch 2213/9999, Iter 221240: Loss = 0.011819261126220226, lr = [2.5e-05] +[2024-05-26 05:12:58,359] - INFO: Epoch 2213/9999, Iter 221280: Loss = 0.008693144656717777, lr = [2.5e-05] +[2024-05-26 05:13:27,043] - INFO: Epoch 2214/9999, Iter 221320: Loss = 0.019301261752843857, lr = [2.5e-05] +[2024-05-26 05:13:54,391] - INFO: Epoch 2214/9999, Iter 221360: Loss = 0.012254415079951286, lr = [2.5e-05] +[2024-05-26 05:14:22,792] - INFO: Epoch 2215/9999, Iter 221400: Loss = 0.007583653554320335, lr = [2.5e-05] +[2024-05-26 05:14:50,069] - INFO: Epoch 2215/9999, Iter 221440: Loss = 0.012686572037637234, lr = [2.5e-05] +[2024-05-26 05:15:17,377] - INFO: Epoch 2215/9999, Iter 221480: Loss = 0.021272143349051476, lr = [2.5e-05] +[2024-05-26 05:15:30,693] - INFO: Evaluate at epoch 2215! +[2024-05-26 05:15:35,313] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2210) +[2024-05-26 05:15:35,314] - INFO: Eval PSNR (current): 38.181 (2215) SSIM (current): 0.9615 (2215) +[2024-05-26 05:15:35,314] - INFO: Evaluation over. +[2024-05-26 05:15:55,887] - INFO: Epoch 2216/9999, Iter 221520: Loss = 0.01004840899258852, lr = [2.5e-05] +[2024-05-26 05:16:23,135] - INFO: Epoch 2216/9999, Iter 221560: Loss = 0.006311238743364811, lr = [2.5e-05] +[2024-05-26 05:16:51,908] - INFO: Epoch 2217/9999, Iter 221600: Loss = 0.01841590739786625, lr = [2.5e-05] +[2024-05-26 05:17:19,124] - INFO: Epoch 2217/9999, Iter 221640: Loss = 0.01260976493358612, lr = [2.5e-05] +[2024-05-26 05:17:46,363] - INFO: Epoch 2217/9999, Iter 221680: Loss = 0.01180115994066, lr = [2.5e-05] +[2024-05-26 05:18:14,839] - INFO: Epoch 2218/9999, Iter 221720: Loss = 0.01381190400570631, lr = [2.5e-05] +[2024-05-26 05:18:42,058] - INFO: Epoch 2218/9999, Iter 221760: Loss = 0.011813770979642868, lr = [2.5e-05] +[2024-05-26 05:19:10,822] - INFO: Epoch 2219/9999, Iter 221800: Loss = 0.010511654429137707, lr = [2.5e-05] +[2024-05-26 05:19:38,138] - INFO: Epoch 2219/9999, Iter 221840: Loss = 0.018665265291929245, lr = [2.5e-05] +[2024-05-26 05:20:05,383] - INFO: Epoch 2219/9999, Iter 221880: Loss = 0.010361714288592339, lr = [2.5e-05] +[2024-05-26 05:20:34,024] - INFO: Epoch 2220/9999, Iter 221920: Loss = 0.008461002260446548, lr = [2.5e-05] +[2024-05-26 05:21:01,384] - INFO: Epoch 2220/9999, Iter 221960: Loss = 0.010464975610375404, lr = [2.5e-05] +[2024-05-26 05:21:28,379] - INFO: Evaluate at epoch 2220! +[2024-05-26 05:21:32,986] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2210) +[2024-05-26 05:21:32,986] - INFO: Eval PSNR (current): 38.168 (2220) SSIM (current): 0.9615 (2220) +[2024-05-26 05:21:32,986] - INFO: Evaluation over. +[2024-05-26 05:21:39,900] - INFO: Epoch 2221/9999, Iter 222000: Loss = 0.014644871465861797, lr = [2.5e-05] +[2024-05-26 05:22:07,162] - INFO: Epoch 2221/9999, Iter 222040: Loss = 0.01777135394513607, lr = [2.5e-05] +[2024-05-26 05:22:34,414] - INFO: Epoch 2221/9999, Iter 222080: Loss = 0.019148416817188263, lr = [2.5e-05] +[2024-05-26 05:23:03,260] - INFO: Epoch 2222/9999, Iter 222120: Loss = 0.010779614560306072, lr = [2.5e-05] +[2024-05-26 05:23:30,594] - INFO: Epoch 2222/9999, Iter 222160: Loss = 0.013491282239556313, lr = [2.5e-05] +[2024-05-26 05:23:59,205] - INFO: Epoch 2223/9999, Iter 222200: Loss = 0.010076343081891537, lr = [2.5e-05] +[2024-05-26 05:24:26,543] - INFO: Epoch 2223/9999, Iter 222240: Loss = 0.012951411306858063, lr = [2.5e-05] +[2024-05-26 05:24:53,730] - INFO: Epoch 2223/9999, Iter 222280: Loss = 0.010733402334153652, lr = [2.5e-05] +[2024-05-26 05:25:22,350] - INFO: Epoch 2224/9999, Iter 222320: Loss = 0.00734625943005085, lr = [2.5e-05] +[2024-05-26 05:25:49,570] - INFO: Epoch 2224/9999, Iter 222360: Loss = 0.014708755537867546, lr = [2.5e-05] +[2024-05-26 05:26:18,020] - INFO: Epoch 2225/9999, Iter 222400: Loss = 0.011236322112381458, lr = [2.5e-05] +[2024-05-26 05:26:45,337] - INFO: Epoch 2225/9999, Iter 222440: Loss = 0.0066259391605854034, lr = [2.5e-05] +[2024-05-26 05:27:12,603] - INFO: Epoch 2225/9999, Iter 222480: Loss = 0.017925705760717392, lr = [2.5e-05] +[2024-05-26 05:27:25,941] - INFO: Evaluate at epoch 2225! +[2024-05-26 05:27:41,314] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:27:41,314] - INFO: Eval PSNR (current): 38.201 (2225) SSIM (current): 0.9616 (2225) +[2024-05-26 05:27:41,314] - INFO: Evaluation over. +[2024-05-26 05:28:01,798] - INFO: Epoch 2226/9999, Iter 222520: Loss = 0.019042566418647766, lr = [2.5e-05] +[2024-05-26 05:28:29,050] - INFO: Epoch 2226/9999, Iter 222560: Loss = 0.01348427589982748, lr = [2.5e-05] +[2024-05-26 05:28:57,615] - INFO: Epoch 2227/9999, Iter 222600: Loss = 0.013437915593385696, lr = [2.5e-05] +[2024-05-26 05:29:24,899] - INFO: Epoch 2227/9999, Iter 222640: Loss = 0.008045370690524578, lr = [2.5e-05] +[2024-05-26 05:29:52,176] - INFO: Epoch 2227/9999, Iter 222680: Loss = 0.013463316485285759, lr = [2.5e-05] +[2024-05-26 05:30:20,989] - INFO: Epoch 2228/9999, Iter 222720: Loss = 0.011463087983429432, lr = [2.5e-05] +[2024-05-26 05:30:48,199] - INFO: Epoch 2228/9999, Iter 222760: Loss = 0.01341453567147255, lr = [2.5e-05] +[2024-05-26 05:31:16,708] - INFO: Epoch 2229/9999, Iter 222800: Loss = 0.010896844789385796, lr = [2.5e-05] +[2024-05-26 05:31:44,076] - INFO: Epoch 2229/9999, Iter 222840: Loss = 0.011994216591119766, lr = [2.5e-05] +[2024-05-26 05:32:11,289] - INFO: Epoch 2229/9999, Iter 222880: Loss = 0.01367516815662384, lr = [2.5e-05] +[2024-05-26 05:32:40,118] - INFO: Epoch 2230/9999, Iter 222920: Loss = 0.01805828884243965, lr = [2.5e-05] +[2024-05-26 05:33:07,348] - INFO: Epoch 2230/9999, Iter 222960: Loss = 0.01567745953798294, lr = [2.5e-05] +[2024-05-26 05:33:34,240] - INFO: Evaluate at epoch 2230! +[2024-05-26 05:33:39,022] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:33:39,022] - INFO: Eval PSNR (current): 38.183 (2230) SSIM (current): 0.9615 (2230) +[2024-05-26 05:33:39,022] - INFO: Evaluation over. +[2024-05-26 05:33:45,836] - INFO: Epoch 2231/9999, Iter 223000: Loss = 0.015480481088161469, lr = [2.5e-05] +[2024-05-26 05:34:13,181] - INFO: Epoch 2231/9999, Iter 223040: Loss = 0.015310132876038551, lr = [2.5e-05] +[2024-05-26 05:34:40,443] - INFO: Epoch 2231/9999, Iter 223080: Loss = 0.008682029321789742, lr = [2.5e-05] +[2024-05-26 05:35:09,035] - INFO: Epoch 2232/9999, Iter 223120: Loss = 0.009454396553337574, lr = [2.5e-05] +[2024-05-26 05:35:36,247] - INFO: Epoch 2232/9999, Iter 223160: Loss = 0.011013487353920937, lr = [2.5e-05] +[2024-05-26 05:36:04,932] - INFO: Epoch 2233/9999, Iter 223200: Loss = 0.010411012917757034, lr = [2.5e-05] +[2024-05-26 05:36:32,242] - INFO: Epoch 2233/9999, Iter 223240: Loss = 0.009501217864453793, lr = [2.5e-05] +[2024-05-26 05:36:59,439] - INFO: Epoch 2233/9999, Iter 223280: Loss = 0.011938223615288734, lr = [2.5e-05] +[2024-05-26 05:37:28,252] - INFO: Epoch 2234/9999, Iter 223320: Loss = 0.009322404861450195, lr = [2.5e-05] +[2024-05-26 05:37:55,478] - INFO: Epoch 2234/9999, Iter 223360: Loss = 0.008030598983168602, lr = [2.5e-05] +[2024-05-26 05:38:23,874] - INFO: Epoch 2235/9999, Iter 223400: Loss = 0.01803111843764782, lr = [2.5e-05] +[2024-05-26 05:38:51,240] - INFO: Epoch 2235/9999, Iter 223440: Loss = 0.015684865415096283, lr = [2.5e-05] +[2024-05-26 05:39:18,420] - INFO: Epoch 2235/9999, Iter 223480: Loss = 0.010093139484524727, lr = [2.5e-05] +[2024-05-26 05:39:31,694] - INFO: Evaluate at epoch 2235! +[2024-05-26 05:39:36,268] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:39:36,268] - INFO: Eval PSNR (current): 38.181 (2235) SSIM (current): 0.9615 (2235) +[2024-05-26 05:39:36,268] - INFO: Evaluation over. +[2024-05-26 05:39:56,716] - INFO: Epoch 2236/9999, Iter 223520: Loss = 0.010268948040902615, lr = [2.5e-05] +[2024-05-26 05:40:24,031] - INFO: Epoch 2236/9999, Iter 223560: Loss = 0.023748479783535004, lr = [2.5e-05] +[2024-05-26 05:40:52,771] - INFO: Epoch 2237/9999, Iter 223600: Loss = 0.019277561455965042, lr = [2.5e-05] +[2024-05-26 05:41:20,025] - INFO: Epoch 2237/9999, Iter 223640: Loss = 0.015484878793358803, lr = [2.5e-05] +[2024-05-26 05:41:47,210] - INFO: Epoch 2237/9999, Iter 223680: Loss = 0.011800531297922134, lr = [2.5e-05] +[2024-05-26 05:42:16,056] - INFO: Epoch 2238/9999, Iter 223720: Loss = 0.015596297569572926, lr = [2.5e-05] +[2024-05-26 05:42:43,257] - INFO: Epoch 2238/9999, Iter 223760: Loss = 0.02078068256378174, lr = [2.5e-05] +[2024-05-26 05:43:11,956] - INFO: Epoch 2239/9999, Iter 223800: Loss = 0.009602979756891727, lr = [2.5e-05] +[2024-05-26 05:43:39,290] - INFO: Epoch 2239/9999, Iter 223840: Loss = 0.009242613799870014, lr = [2.5e-05] +[2024-05-26 05:44:06,505] - INFO: Epoch 2239/9999, Iter 223880: Loss = 0.009374267421662807, lr = [2.5e-05] +[2024-05-26 05:44:35,353] - INFO: Epoch 2240/9999, Iter 223920: Loss = 0.02494400553405285, lr = [2.5e-05] +[2024-05-26 05:45:02,575] - INFO: Epoch 2240/9999, Iter 223960: Loss = 0.007062977645546198, lr = [2.5e-05] +[2024-05-26 05:45:29,421] - INFO: Evaluate at epoch 2240! +[2024-05-26 05:45:34,075] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:45:34,076] - INFO: Eval PSNR (current): 38.192 (2240) SSIM (current): 0.9616 (2240) +[2024-05-26 05:45:34,076] - INFO: Evaluation over. +[2024-05-26 05:45:41,042] - INFO: Epoch 2241/9999, Iter 224000: Loss = 0.01897124946117401, lr = [2.5e-05] +[2024-05-26 05:46:08,426] - INFO: Epoch 2241/9999, Iter 224040: Loss = 0.017314249649643898, lr = [2.5e-05] +[2024-05-26 05:46:35,646] - INFO: Epoch 2241/9999, Iter 224080: Loss = 0.011027419939637184, lr = [2.5e-05] +[2024-05-26 05:47:04,326] - INFO: Epoch 2242/9999, Iter 224120: Loss = 0.012874226085841656, lr = [2.5e-05] +[2024-05-26 05:47:31,506] - INFO: Epoch 2242/9999, Iter 224160: Loss = 0.017972245812416077, lr = [2.5e-05] +[2024-05-26 05:47:59,944] - INFO: Epoch 2243/9999, Iter 224200: Loss = 0.01071284618228674, lr = [2.5e-05] +[2024-05-26 05:48:27,236] - INFO: Epoch 2243/9999, Iter 224240: Loss = 0.019526543095707893, lr = [2.5e-05] +[2024-05-26 05:48:54,462] - INFO: Epoch 2243/9999, Iter 224280: Loss = 0.01009113248437643, lr = [2.5e-05] +[2024-05-26 05:49:27,355] - INFO: Epoch 2244/9999, Iter 224320: Loss = 0.008066384121775627, lr = [2.5e-05] +[2024-05-26 05:49:56,824] - INFO: Epoch 2244/9999, Iter 224360: Loss = 0.012744497507810593, lr = [2.5e-05] +[2024-05-26 05:50:25,449] - INFO: Epoch 2245/9999, Iter 224400: Loss = 0.011741247959434986, lr = [2.5e-05] +[2024-05-26 05:50:53,109] - INFO: Epoch 2245/9999, Iter 224440: Loss = 0.008905826136469841, lr = [2.5e-05] +[2024-05-26 05:51:20,665] - INFO: Epoch 2245/9999, Iter 224480: Loss = 0.0152821009978652, lr = [2.5e-05] +[2024-05-26 05:51:33,922] - INFO: Evaluate at epoch 2245! +[2024-05-26 05:51:40,758] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:51:40,758] - INFO: Eval PSNR (current): 38.153 (2245) SSIM (current): 0.9615 (2245) +[2024-05-26 05:51:40,758] - INFO: Evaluation over. +[2024-05-26 05:52:07,010] - INFO: Epoch 2246/9999, Iter 224520: Loss = 0.007546665612608194, lr = [2.5e-05] +[2024-05-26 05:52:34,472] - INFO: Epoch 2246/9999, Iter 224560: Loss = 0.008363040164113045, lr = [2.5e-05] +[2024-05-26 05:53:03,257] - INFO: Epoch 2247/9999, Iter 224600: Loss = 0.021062083542346954, lr = [2.5e-05] +[2024-05-26 05:53:31,132] - INFO: Epoch 2247/9999, Iter 224640: Loss = 0.011625976301729679, lr = [2.5e-05] +[2024-05-26 05:53:58,473] - INFO: Epoch 2247/9999, Iter 224680: Loss = 0.015782346948981285, lr = [2.5e-05] +[2024-05-26 05:54:29,211] - INFO: Epoch 2248/9999, Iter 224720: Loss = 0.01343256700783968, lr = [2.5e-05] +[2024-05-26 05:54:56,568] - INFO: Epoch 2248/9999, Iter 224760: Loss = 0.021464243531227112, lr = [2.5e-05] +[2024-05-26 05:55:25,642] - INFO: Epoch 2249/9999, Iter 224800: Loss = 0.013696006499230862, lr = [2.5e-05] +[2024-05-26 05:55:53,059] - INFO: Epoch 2249/9999, Iter 224840: Loss = 0.019898952916264534, lr = [2.5e-05] +[2024-05-26 05:56:20,314] - INFO: Epoch 2249/9999, Iter 224880: Loss = 0.006784886121749878, lr = [2.5e-05] +[2024-05-26 05:56:48,920] - INFO: Epoch 2250/9999, Iter 224920: Loss = 0.008138682693243027, lr = [2.5e-05] +[2024-05-26 05:57:16,198] - INFO: Epoch 2250/9999, Iter 224960: Loss = 0.012556837871670723, lr = [2.5e-05] +[2024-05-26 05:57:43,133] - INFO: Evaluate at epoch 2250! +[2024-05-26 05:57:47,754] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:57:47,754] - INFO: Eval PSNR (current): 38.187 (2250) SSIM (current): 0.9616 (2250) +[2024-05-26 05:57:47,754] - INFO: Evaluation over. +[2024-05-26 05:57:54,647] - INFO: Epoch 2251/9999, Iter 225000: Loss = 0.011906291358172894, lr = [2.5e-05] +[2024-05-26 05:58:21,933] - INFO: Epoch 2251/9999, Iter 225040: Loss = 0.015968987718224525, lr = [2.5e-05] +[2024-05-26 05:58:49,138] - INFO: Epoch 2251/9999, Iter 225080: Loss = 0.010848102159798145, lr = [2.5e-05] +[2024-05-26 05:59:17,898] - INFO: Epoch 2252/9999, Iter 225120: Loss = 0.006210406310856342, lr = [2.5e-05] +[2024-05-26 05:59:45,124] - INFO: Epoch 2252/9999, Iter 225160: Loss = 0.01020305696874857, lr = [2.5e-05] +[2024-05-26 06:00:13,630] - INFO: Epoch 2253/9999, Iter 225200: Loss = 0.008083043619990349, lr = [2.5e-05] +[2024-05-26 06:00:40,920] - INFO: Epoch 2253/9999, Iter 225240: Loss = 0.010243678465485573, lr = [2.5e-05] +[2024-05-26 06:01:08,195] - INFO: Epoch 2253/9999, Iter 225280: Loss = 0.015716902911663055, lr = [2.5e-05] +[2024-05-26 06:01:36,902] - INFO: Epoch 2254/9999, Iter 225320: Loss = 0.007282431703060865, lr = [2.5e-05] +[2024-05-26 06:02:04,104] - INFO: Epoch 2254/9999, Iter 225360: Loss = 0.012924298644065857, lr = [2.5e-05] +[2024-05-26 06:02:33,016] - INFO: Epoch 2255/9999, Iter 225400: Loss = 0.012632224708795547, lr = [2.5e-05] +[2024-05-26 06:03:00,398] - INFO: Epoch 2255/9999, Iter 225440: Loss = 0.008653399534523487, lr = [2.5e-05] +[2024-05-26 06:03:27,624] - INFO: Epoch 2255/9999, Iter 225480: Loss = 0.004689385183155537, lr = [2.5e-05] +[2024-05-26 06:03:40,947] - INFO: Evaluate at epoch 2255! +[2024-05-26 06:03:45,461] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 06:03:45,462] - INFO: Eval PSNR (current): 38.180 (2255) SSIM (current): 0.9616 (2255) +[2024-05-26 06:03:45,462] - INFO: Evaluation over. +[2024-05-26 06:04:05,988] - INFO: Epoch 2256/9999, Iter 225520: Loss = 0.008476820774376392, lr = [2.5e-05] +[2024-05-26 06:04:33,253] - INFO: Epoch 2256/9999, Iter 225560: Loss = 0.013157427310943604, lr = [2.5e-05] +[2024-05-26 06:05:01,760] - INFO: Epoch 2257/9999, Iter 225600: Loss = 0.015026586130261421, lr = [2.5e-05] +[2024-05-26 06:05:29,019] - INFO: Epoch 2257/9999, Iter 225640: Loss = 0.018723033368587494, lr = [2.5e-05] +[2024-05-26 06:05:56,216] - INFO: Epoch 2257/9999, Iter 225680: Loss = 0.010518663562834263, lr = [2.5e-05] +[2024-05-26 06:06:25,010] - INFO: Epoch 2258/9999, Iter 225720: Loss = 0.017460424453020096, lr = [2.5e-05] +[2024-05-26 06:06:52,264] - INFO: Epoch 2258/9999, Iter 225760: Loss = 0.011972210370004177, lr = [2.5e-05] +[2024-05-26 06:07:20,812] - INFO: Epoch 2259/9999, Iter 225800: Loss = 0.009069163352251053, lr = [2.5e-05] +[2024-05-26 06:07:48,177] - INFO: Epoch 2259/9999, Iter 225840: Loss = 0.016559887677431107, lr = [2.5e-05] +[2024-05-26 06:08:15,409] - INFO: Epoch 2259/9999, Iter 225880: Loss = 0.009009656496345997, lr = [2.5e-05] +[2024-05-26 06:08:44,291] - INFO: Epoch 2260/9999, Iter 225920: Loss = 0.014337906613945961, lr = [2.5e-05] +[2024-05-26 06:09:11,512] - INFO: Epoch 2260/9999, Iter 225960: Loss = 0.005137577187269926, lr = [2.5e-05] +[2024-05-26 06:09:38,424] - INFO: Evaluate at epoch 2260! +[2024-05-26 06:09:43,037] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 06:09:43,037] - INFO: Eval PSNR (current): 38.193 (2260) SSIM (current): 0.9615 (2260) +[2024-05-26 06:09:43,037] - INFO: Evaluation over. +[2024-05-26 06:09:49,569] - INFO: Epoch 2261/9999, Iter 226000: Loss = 0.012056046165525913, lr = [2.5e-05] +[2024-05-26 06:10:16,904] - INFO: Epoch 2261/9999, Iter 226040: Loss = 0.015876390039920807, lr = [2.5e-05] +[2024-05-26 06:10:44,103] - INFO: Epoch 2261/9999, Iter 226080: Loss = 0.009719181805849075, lr = [2.5e-05] +[2024-05-26 06:11:12,768] - INFO: Epoch 2262/9999, Iter 226120: Loss = 0.011310621164739132, lr = [2.5e-05] +[2024-05-26 06:11:39,973] - INFO: Epoch 2262/9999, Iter 226160: Loss = 0.016793973743915558, lr = [2.5e-05] +[2024-05-26 06:12:08,460] - INFO: Epoch 2263/9999, Iter 226200: Loss = 0.013413840904831886, lr = [2.5e-05] +[2024-05-26 06:12:35,847] - INFO: Epoch 2263/9999, Iter 226240: Loss = 0.015322797931730747, lr = [2.5e-05] +[2024-05-26 06:13:03,085] - INFO: Epoch 2263/9999, Iter 226280: Loss = 0.010777791030704975, lr = [2.5e-05] +[2024-05-26 06:13:31,751] - INFO: Epoch 2264/9999, Iter 226320: Loss = 0.009783722460269928, lr = [2.5e-05] +[2024-05-26 06:13:59,020] - INFO: Epoch 2264/9999, Iter 226360: Loss = 0.006347674876451492, lr = [2.5e-05] +[2024-05-26 06:14:27,380] - INFO: Epoch 2265/9999, Iter 226400: Loss = 0.011455555446445942, lr = [2.5e-05] +[2024-05-26 06:14:54,745] - INFO: Epoch 2265/9999, Iter 226440: Loss = 0.011288618668913841, lr = [2.5e-05] +[2024-05-26 06:15:21,960] - INFO: Epoch 2265/9999, Iter 226480: Loss = 0.0074606225825846195, lr = [2.5e-05] +[2024-05-26 06:15:35,268] - INFO: Evaluate at epoch 2265! +[2024-05-26 06:15:44,965] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2265) +[2024-05-26 06:15:44,966] - INFO: Eval PSNR (current): 38.186 (2265) SSIM (current): 0.9616 (2265) +[2024-05-26 06:15:44,966] - INFO: Evaluation over. +[2024-05-26 06:16:05,335] - INFO: Epoch 2266/9999, Iter 226520: Loss = 0.009953523054718971, lr = [2.5e-05] +[2024-05-26 06:16:32,572] - INFO: Epoch 2266/9999, Iter 226560: Loss = 0.01472693495452404, lr = [2.5e-05] +[2024-05-26 06:17:01,088] - INFO: Epoch 2267/9999, Iter 226600: Loss = 0.010240997187793255, lr = [2.5e-05] +[2024-05-26 06:17:28,481] - INFO: Epoch 2267/9999, Iter 226640: Loss = 0.018219124525785446, lr = [2.5e-05] +[2024-05-26 06:17:55,688] - INFO: Epoch 2267/9999, Iter 226680: Loss = 0.012935495935380459, lr = [2.5e-05] +[2024-05-26 06:18:24,523] - INFO: Epoch 2268/9999, Iter 226720: Loss = 0.011219821870326996, lr = [2.5e-05] +[2024-05-26 06:18:51,764] - INFO: Epoch 2268/9999, Iter 226760: Loss = 0.013290195725858212, lr = [2.5e-05] +[2024-05-26 06:19:20,296] - INFO: Epoch 2269/9999, Iter 226800: Loss = 0.010088167153298855, lr = [2.5e-05] +[2024-05-26 06:19:47,576] - INFO: Epoch 2269/9999, Iter 226840: Loss = 0.011025962419807911, lr = [2.5e-05] +[2024-05-26 06:20:14,842] - INFO: Epoch 2269/9999, Iter 226880: Loss = 0.017450911924242973, lr = [2.5e-05] +[2024-05-26 06:20:43,668] - INFO: Epoch 2270/9999, Iter 226920: Loss = 0.014276636764407158, lr = [2.5e-05] +[2024-05-26 06:21:10,847] - INFO: Epoch 2270/9999, Iter 226960: Loss = 0.01369837298989296, lr = [2.5e-05] +[2024-05-26 06:21:37,777] - INFO: Evaluate at epoch 2270! +[2024-05-26 06:21:42,461] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2265) +[2024-05-26 06:21:42,461] - INFO: Eval PSNR (current): 38.182 (2270) SSIM (current): 0.9615 (2270) +[2024-05-26 06:21:42,461] - INFO: Evaluation over. +[2024-05-26 06:21:48,998] - INFO: Epoch 2271/9999, Iter 227000: Loss = 0.01149872038513422, lr = [2.5e-05] +[2024-05-26 06:22:16,345] - INFO: Epoch 2271/9999, Iter 227040: Loss = 0.019516009837388992, lr = [2.5e-05] +[2024-05-26 06:22:43,583] - INFO: Epoch 2271/9999, Iter 227080: Loss = 0.01256744284182787, lr = [2.5e-05] +[2024-05-26 06:23:12,437] - INFO: Epoch 2272/9999, Iter 227120: Loss = 0.014856801368296146, lr = [2.5e-05] +[2024-05-26 06:23:39,669] - INFO: Epoch 2272/9999, Iter 227160: Loss = 0.011563980020582676, lr = [2.5e-05] +[2024-05-26 06:24:08,391] - INFO: Epoch 2273/9999, Iter 227200: Loss = 0.014492908492684364, lr = [2.5e-05] +[2024-05-26 06:24:35,719] - INFO: Epoch 2273/9999, Iter 227240: Loss = 0.01271800696849823, lr = [2.5e-05] +[2024-05-26 06:25:03,034] - INFO: Epoch 2273/9999, Iter 227280: Loss = 0.015835801139473915, lr = [2.5e-05] +[2024-05-26 06:25:31,871] - INFO: Epoch 2274/9999, Iter 227320: Loss = 0.010508053004741669, lr = [2.5e-05] +[2024-05-26 06:25:59,188] - INFO: Epoch 2274/9999, Iter 227360: Loss = 0.00883639045059681, lr = [2.5e-05] +[2024-05-26 06:26:27,717] - INFO: Epoch 2275/9999, Iter 227400: Loss = 0.0122413020581007, lr = [2.5e-05] +[2024-05-26 06:26:55,090] - INFO: Epoch 2275/9999, Iter 227440: Loss = 0.009725809097290039, lr = [2.5e-05] +[2024-05-26 06:27:22,336] - INFO: Epoch 2275/9999, Iter 227480: Loss = 0.012680287472903728, lr = [2.5e-05] +[2024-05-26 06:27:35,624] - INFO: Evaluate at epoch 2275! +[2024-05-26 06:27:40,258] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2265) +[2024-05-26 06:27:40,258] - INFO: Eval PSNR (current): 38.175 (2275) SSIM (current): 0.9615 (2275) +[2024-05-26 06:27:40,258] - INFO: Evaluation over. +[2024-05-26 06:28:01,015] - INFO: Epoch 2276/9999, Iter 227520: Loss = 0.01006949320435524, lr = [2.5e-05] +[2024-05-26 06:28:28,264] - INFO: Epoch 2276/9999, Iter 227560: Loss = 0.01329858135432005, lr = [2.5e-05] +[2024-05-26 06:28:56,713] - INFO: Epoch 2277/9999, Iter 227600: Loss = 0.012724922969937325, lr = [2.5e-05] +[2024-05-26 06:29:24,067] - INFO: Epoch 2277/9999, Iter 227640: Loss = 0.008744559250772, lr = [2.5e-05] +[2024-05-26 06:29:51,294] - INFO: Epoch 2277/9999, Iter 227680: Loss = 0.012087062932550907, lr = [2.5e-05] +[2024-05-26 06:30:20,051] - INFO: Epoch 2278/9999, Iter 227720: Loss = 0.010467941872775555, lr = [2.5e-05] +[2024-05-26 06:30:47,266] - INFO: Epoch 2278/9999, Iter 227760: Loss = 0.01433671172708273, lr = [2.5e-05] +[2024-05-26 06:31:15,628] - INFO: Epoch 2279/9999, Iter 227800: Loss = 0.011904710903763771, lr = [2.5e-05] +[2024-05-26 06:31:43,022] - INFO: Epoch 2279/9999, Iter 227840: Loss = 0.006972428411245346, lr = [2.5e-05] +[2024-05-26 06:32:10,260] - INFO: Epoch 2279/9999, Iter 227880: Loss = 0.011073285713791847, lr = [2.5e-05] +[2024-05-26 06:32:38,877] - INFO: Epoch 2280/9999, Iter 227920: Loss = 0.014279788359999657, lr = [2.5e-05] +[2024-05-26 06:33:06,140] - INFO: Epoch 2280/9999, Iter 227960: Loss = 0.021493472158908844, lr = [2.5e-05] +[2024-05-26 06:33:33,082] - INFO: Evaluate at epoch 2280! +[2024-05-26 06:33:42,842] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:33:42,842] - INFO: Eval PSNR (current): 38.203 (2280) SSIM (current): 0.9615 (2280) +[2024-05-26 06:33:42,842] - INFO: Evaluation over. +[2024-05-26 06:33:49,614] - INFO: Epoch 2281/9999, Iter 228000: Loss = 0.0143622737377882, lr = [2.5e-05] +[2024-05-26 06:34:17,016] - INFO: Epoch 2281/9999, Iter 228040: Loss = 0.010599968954920769, lr = [2.5e-05] +[2024-05-26 06:34:44,224] - INFO: Epoch 2281/9999, Iter 228080: Loss = 0.015978801995515823, lr = [2.5e-05] +[2024-05-26 06:35:12,839] - INFO: Epoch 2282/9999, Iter 228120: Loss = 0.018490014597773552, lr = [2.5e-05] +[2024-05-26 06:35:40,110] - INFO: Epoch 2282/9999, Iter 228160: Loss = 0.01675228774547577, lr = [2.5e-05] +[2024-05-26 06:36:08,523] - INFO: Epoch 2283/9999, Iter 228200: Loss = 0.010351907461881638, lr = [2.5e-05] +[2024-05-26 06:36:35,893] - INFO: Epoch 2283/9999, Iter 228240: Loss = 0.012059688568115234, lr = [2.5e-05] +[2024-05-26 06:37:03,172] - INFO: Epoch 2283/9999, Iter 228280: Loss = 0.013649038039147854, lr = [2.5e-05] +[2024-05-26 06:37:31,840] - INFO: Epoch 2284/9999, Iter 228320: Loss = 0.010790280066430569, lr = [2.5e-05] +[2024-05-26 06:37:59,105] - INFO: Epoch 2284/9999, Iter 228360: Loss = 0.012488316744565964, lr = [2.5e-05] +[2024-05-26 06:38:27,775] - INFO: Epoch 2285/9999, Iter 228400: Loss = 0.016610445454716682, lr = [2.5e-05] +[2024-05-26 06:38:55,036] - INFO: Epoch 2285/9999, Iter 228440: Loss = 0.009809180162847042, lr = [2.5e-05] +[2024-05-26 06:39:22,289] - INFO: Epoch 2285/9999, Iter 228480: Loss = 0.00956928264349699, lr = [2.5e-05] +[2024-05-26 06:39:35,576] - INFO: Evaluate at epoch 2285! +[2024-05-26 06:39:40,228] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:39:40,228] - INFO: Eval PSNR (current): 38.189 (2285) SSIM (current): 0.9616 (2285) +[2024-05-26 06:39:40,228] - INFO: Evaluation over. +[2024-05-26 06:40:00,300] - INFO: Epoch 2286/9999, Iter 228520: Loss = 0.011760994791984558, lr = [2.5e-05] +[2024-05-26 06:40:27,611] - INFO: Epoch 2286/9999, Iter 228560: Loss = 0.00908610038459301, lr = [2.5e-05] +[2024-05-26 06:40:56,225] - INFO: Epoch 2287/9999, Iter 228600: Loss = 0.016174783930182457, lr = [2.5e-05] +[2024-05-26 06:41:23,568] - INFO: Epoch 2287/9999, Iter 228640: Loss = 0.018585797399282455, lr = [2.5e-05] +[2024-05-26 06:41:50,887] - INFO: Epoch 2287/9999, Iter 228680: Loss = 0.010859533213078976, lr = [2.5e-05] +[2024-05-26 06:42:19,700] - INFO: Epoch 2288/9999, Iter 228720: Loss = 0.008813331834971905, lr = [2.5e-05] +[2024-05-26 06:42:46,896] - INFO: Epoch 2288/9999, Iter 228760: Loss = 0.006902655120939016, lr = [2.5e-05] +[2024-05-26 06:43:15,320] - INFO: Epoch 2289/9999, Iter 228800: Loss = 0.018581876531243324, lr = [2.5e-05] +[2024-05-26 06:43:42,584] - INFO: Epoch 2289/9999, Iter 228840: Loss = 0.010923339053988457, lr = [2.5e-05] +[2024-05-26 06:44:09,826] - INFO: Epoch 2289/9999, Iter 228880: Loss = 0.020178278908133507, lr = [2.5e-05] +[2024-05-26 06:44:38,570] - INFO: Epoch 2290/9999, Iter 228920: Loss = 0.008443931117653847, lr = [2.5e-05] +[2024-05-26 06:45:05,764] - INFO: Epoch 2290/9999, Iter 228960: Loss = 0.013545203022658825, lr = [2.5e-05] +[2024-05-26 06:45:32,667] - INFO: Evaluate at epoch 2290! +[2024-05-26 06:45:37,165] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:45:37,165] - INFO: Eval PSNR (current): 38.176 (2290) SSIM (current): 0.9615 (2290) +[2024-05-26 06:45:37,165] - INFO: Evaluation over. +[2024-05-26 06:45:43,887] - INFO: Epoch 2291/9999, Iter 229000: Loss = 0.006283222232013941, lr = [2.5e-05] +[2024-05-26 06:46:11,298] - INFO: Epoch 2291/9999, Iter 229040: Loss = 0.00863682758063078, lr = [2.5e-05] +[2024-05-26 06:46:38,459] - INFO: Epoch 2291/9999, Iter 229080: Loss = 0.009702960029244423, lr = [2.5e-05] +[2024-05-26 06:47:07,041] - INFO: Epoch 2292/9999, Iter 229120: Loss = 0.014640587382018566, lr = [2.5e-05] +[2024-05-26 06:47:34,251] - INFO: Epoch 2292/9999, Iter 229160: Loss = 0.007798521779477596, lr = [2.5e-05] +[2024-05-26 06:48:02,763] - INFO: Epoch 2293/9999, Iter 229200: Loss = 0.01273191999644041, lr = [2.5e-05] +[2024-05-26 06:48:30,092] - INFO: Epoch 2293/9999, Iter 229240: Loss = 0.005917286965996027, lr = [2.5e-05] +[2024-05-26 06:48:57,254] - INFO: Epoch 2293/9999, Iter 229280: Loss = 0.012244065292179585, lr = [2.5e-05] +[2024-05-26 06:49:25,884] - INFO: Epoch 2294/9999, Iter 229320: Loss = 0.00886762235313654, lr = [2.5e-05] +[2024-05-26 06:49:53,154] - INFO: Epoch 2294/9999, Iter 229360: Loss = 0.01084882952272892, lr = [2.5e-05] +[2024-05-26 06:50:21,701] - INFO: Epoch 2295/9999, Iter 229400: Loss = 0.010117767378687859, lr = [2.5e-05] +[2024-05-26 06:50:48,961] - INFO: Epoch 2295/9999, Iter 229440: Loss = 0.011575715616345406, lr = [2.5e-05] +[2024-05-26 06:51:16,212] - INFO: Epoch 2295/9999, Iter 229480: Loss = 0.01307025458663702, lr = [2.5e-05] +[2024-05-26 06:51:29,485] - INFO: Evaluate at epoch 2295! +[2024-05-26 06:51:33,936] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:51:33,936] - INFO: Eval PSNR (current): 38.177 (2295) SSIM (current): 0.9615 (2295) +[2024-05-26 06:51:33,936] - INFO: Evaluation over. +[2024-05-26 06:51:54,392] - INFO: Epoch 2296/9999, Iter 229520: Loss = 0.008600905537605286, lr = [2.5e-05] +[2024-05-26 06:52:21,638] - INFO: Epoch 2296/9999, Iter 229560: Loss = 0.011341540142893791, lr = [2.5e-05] +[2024-05-26 06:52:50,287] - INFO: Epoch 2297/9999, Iter 229600: Loss = 0.008964703418314457, lr = [2.5e-05] +[2024-05-26 06:53:17,495] - INFO: Epoch 2297/9999, Iter 229640: Loss = 0.01492549292743206, lr = [2.5e-05] +[2024-05-26 06:53:44,766] - INFO: Epoch 2297/9999, Iter 229680: Loss = 0.011512909084558487, lr = [2.5e-05] +[2024-05-26 06:54:13,413] - INFO: Epoch 2298/9999, Iter 229720: Loss = 0.008507849648594856, lr = [2.5e-05] +[2024-05-26 06:54:40,627] - INFO: Epoch 2298/9999, Iter 229760: Loss = 0.009184906259179115, lr = [2.5e-05] +[2024-05-26 06:55:09,174] - INFO: Epoch 2299/9999, Iter 229800: Loss = 0.008716229349374771, lr = [2.5e-05] +[2024-05-26 06:55:36,518] - INFO: Epoch 2299/9999, Iter 229840: Loss = 0.026580240577459335, lr = [2.5e-05] +[2024-05-26 06:56:03,755] - INFO: Epoch 2299/9999, Iter 229880: Loss = 0.0181051567196846, lr = [2.5e-05] +[2024-05-26 06:56:32,310] - INFO: Epoch 2300/9999, Iter 229920: Loss = 0.01109800674021244, lr = [2.5e-05] +[2024-05-26 06:56:59,568] - INFO: Epoch 2300/9999, Iter 229960: Loss = 0.014177244156599045, lr = [2.5e-05] +[2024-05-26 06:57:26,489] - INFO: Evaluate at epoch 2300! +[2024-05-26 06:57:31,214] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:57:31,214] - INFO: Eval PSNR (current): 38.167 (2300) SSIM (current): 0.9615 (2300) +[2024-05-26 06:57:31,214] - INFO: Evaluation over. +[2024-05-26 06:57:38,528] - INFO: Epoch 2301/9999, Iter 230000: Loss = 0.007503801956772804, lr = [2.5e-05] +[2024-05-26 06:58:05,865] - INFO: Epoch 2301/9999, Iter 230040: Loss = 0.00987196434289217, lr = [2.5e-05] +[2024-05-26 06:58:33,051] - INFO: Epoch 2301/9999, Iter 230080: Loss = 0.011090010404586792, lr = [2.5e-05] +[2024-05-26 06:59:01,790] - INFO: Epoch 2302/9999, Iter 230120: Loss = 0.009949919767677784, lr = [2.5e-05] +[2024-05-26 06:59:29,075] - INFO: Epoch 2302/9999, Iter 230160: Loss = 0.008439342491328716, lr = [2.5e-05] +[2024-05-26 06:59:57,586] - INFO: Epoch 2303/9999, Iter 230200: Loss = 0.015784630551934242, lr = [2.5e-05] +[2024-05-26 07:00:25,063] - INFO: Epoch 2303/9999, Iter 230240: Loss = 0.020135732367634773, lr = [2.5e-05] +[2024-05-26 07:00:52,225] - INFO: Epoch 2303/9999, Iter 230280: Loss = 0.01047036424279213, lr = [2.5e-05] +[2024-05-26 07:01:20,837] - INFO: Epoch 2304/9999, Iter 230320: Loss = 0.010623130947351456, lr = [2.5e-05] +[2024-05-26 07:01:48,015] - INFO: Epoch 2304/9999, Iter 230360: Loss = 0.013010731898248196, lr = [2.5e-05] +[2024-05-26 07:02:16,773] - INFO: Epoch 2305/9999, Iter 230400: Loss = 0.015221498906612396, lr = [2.5e-05] +[2024-05-26 07:02:44,132] - INFO: Epoch 2305/9999, Iter 230440: Loss = 0.02060025744140148, lr = [2.5e-05] +[2024-05-26 07:03:11,292] - INFO: Epoch 2305/9999, Iter 230480: Loss = 0.010910667479038239, lr = [2.5e-05] +[2024-05-26 07:03:24,590] - INFO: Evaluate at epoch 2305! +[2024-05-26 07:03:29,220] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 07:03:29,220] - INFO: Eval PSNR (current): 38.185 (2305) SSIM (current): 0.9615 (2305) +[2024-05-26 07:03:29,220] - INFO: Evaluation over. +[2024-05-26 07:03:49,935] - INFO: Epoch 2306/9999, Iter 230520: Loss = 0.009701700881123543, lr = [2.5e-05] +[2024-05-26 07:04:17,146] - INFO: Epoch 2306/9999, Iter 230560: Loss = 0.00874795950949192, lr = [2.5e-05] +[2024-05-26 07:04:45,869] - INFO: Epoch 2307/9999, Iter 230600: Loss = 0.011458206921815872, lr = [2.5e-05] +[2024-05-26 07:05:13,174] - INFO: Epoch 2307/9999, Iter 230640: Loss = 0.009332006797194481, lr = [2.5e-05] +[2024-05-26 07:05:40,355] - INFO: Epoch 2307/9999, Iter 230680: Loss = 0.015588645823299885, lr = [2.5e-05] +[2024-05-26 07:06:08,955] - INFO: Epoch 2308/9999, Iter 230720: Loss = 0.010662637650966644, lr = [2.5e-05] +[2024-05-26 07:06:36,220] - INFO: Epoch 2308/9999, Iter 230760: Loss = 0.009677918627858162, lr = [2.5e-05] +[2024-05-26 07:07:04,843] - INFO: Epoch 2309/9999, Iter 230800: Loss = 0.01995682157576084, lr = [2.5e-05] +[2024-05-26 07:07:32,160] - INFO: Epoch 2309/9999, Iter 230840: Loss = 0.007310330867767334, lr = [2.5e-05] +[2024-05-26 07:07:59,380] - INFO: Epoch 2309/9999, Iter 230880: Loss = 0.014719826169312, lr = [2.5e-05] +[2024-05-26 07:08:27,951] - INFO: Epoch 2310/9999, Iter 230920: Loss = 0.007689789403229952, lr = [2.5e-05] +[2024-05-26 07:08:55,173] - INFO: Epoch 2310/9999, Iter 230960: Loss = 0.010354839265346527, lr = [2.5e-05] +[2024-05-26 07:09:22,052] - INFO: Evaluate at epoch 2310! +[2024-05-26 07:09:26,638] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 07:09:26,638] - INFO: Eval PSNR (current): 38.196 (2310) SSIM (current): 0.9616 (2310) +[2024-05-26 07:09:26,638] - INFO: Evaluation over. +[2024-05-26 07:09:33,513] - INFO: Epoch 2311/9999, Iter 231000: Loss = 0.006697948556393385, lr = [2.5e-05] +[2024-05-26 07:10:00,867] - INFO: Epoch 2311/9999, Iter 231040: Loss = 0.02092912048101425, lr = [2.5e-05] +[2024-05-26 07:10:28,105] - INFO: Epoch 2311/9999, Iter 231080: Loss = 0.010425777174532413, lr = [2.5e-05] +[2024-05-26 07:10:56,724] - INFO: Epoch 2312/9999, Iter 231120: Loss = 0.008777446113526821, lr = [2.5e-05] +[2024-05-26 07:11:23,947] - INFO: Epoch 2312/9999, Iter 231160: Loss = 0.010965133085846901, lr = [2.5e-05] +[2024-05-26 07:11:52,417] - INFO: Epoch 2313/9999, Iter 231200: Loss = 0.007519618142396212, lr = [2.5e-05] +[2024-05-26 07:12:19,666] - INFO: Epoch 2313/9999, Iter 231240: Loss = 0.012391278520226479, lr = [2.5e-05] +[2024-05-26 07:12:46,887] - INFO: Epoch 2313/9999, Iter 231280: Loss = 0.008832229301333427, lr = [2.5e-05] +[2024-05-26 07:13:15,530] - INFO: Epoch 2314/9999, Iter 231320: Loss = 0.015082350932061672, lr = [2.5e-05] +[2024-05-26 07:13:42,839] - INFO: Epoch 2314/9999, Iter 231360: Loss = 0.010651546530425549, lr = [2.5e-05] +[2024-05-26 07:14:11,477] - INFO: Epoch 2315/9999, Iter 231400: Loss = 0.00899750180542469, lr = [2.5e-05] +[2024-05-26 07:14:38,846] - INFO: Epoch 2315/9999, Iter 231440: Loss = 0.008429627865552902, lr = [2.5e-05] +[2024-05-26 07:15:06,032] - INFO: Epoch 2315/9999, Iter 231480: Loss = 0.011376732029020786, lr = [2.5e-05] +[2024-05-26 07:15:19,325] - INFO: Evaluate at epoch 2315! +[2024-05-26 07:15:23,754] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 07:15:23,754] - INFO: Eval PSNR (current): 38.193 (2315) SSIM (current): 0.9616 (2315) +[2024-05-26 07:15:23,754] - INFO: Evaluation over. +[2024-05-26 07:15:44,380] - INFO: Epoch 2316/9999, Iter 231520: Loss = 0.01179999765008688, lr = [2.5e-05] +[2024-05-26 07:16:11,572] - INFO: Epoch 2316/9999, Iter 231560: Loss = 0.00911727361381054, lr = [2.5e-05] +[2024-05-26 07:16:40,204] - INFO: Epoch 2317/9999, Iter 231600: Loss = 0.015973122790455818, lr = [2.5e-05] +[2024-05-26 07:17:07,554] - INFO: Epoch 2317/9999, Iter 231640: Loss = 0.016398578882217407, lr = [2.5e-05] +[2024-05-26 07:17:34,776] - INFO: Epoch 2317/9999, Iter 231680: Loss = 0.013654130510985851, lr = [2.5e-05] +[2024-05-26 07:18:03,584] - INFO: Epoch 2318/9999, Iter 231720: Loss = 0.00966686476022005, lr = [2.5e-05] +[2024-05-26 07:18:30,837] - INFO: Epoch 2318/9999, Iter 231760: Loss = 0.012703241780400276, lr = [2.5e-05] +[2024-05-26 07:18:59,541] - INFO: Epoch 2319/9999, Iter 231800: Loss = 0.007892679423093796, lr = [2.5e-05] +[2024-05-26 07:19:26,922] - INFO: Epoch 2319/9999, Iter 231840: Loss = 0.009541003964841366, lr = [2.5e-05] +[2024-05-26 07:19:54,112] - INFO: Epoch 2319/9999, Iter 231880: Loss = 0.022465476766228676, lr = [2.5e-05] +[2024-05-26 07:20:22,767] - INFO: Epoch 2320/9999, Iter 231920: Loss = 0.008431794121861458, lr = [2.5e-05] +[2024-05-26 07:20:50,004] - INFO: Epoch 2320/9999, Iter 231960: Loss = 0.015705348923802376, lr = [2.5e-05] +[2024-05-26 07:21:16,927] - INFO: Evaluate at epoch 2320! +[2024-05-26 07:21:21,669] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 07:21:21,669] - INFO: Eval PSNR (current): 38.153 (2320) SSIM (current): 0.9614 (2320) +[2024-05-26 07:21:21,669] - INFO: Evaluation over. +[2024-05-26 07:21:28,880] - INFO: Epoch 2321/9999, Iter 232000: Loss = 0.011369950138032436, lr = [2.5e-05] +[2024-05-26 07:21:56,276] - INFO: Epoch 2321/9999, Iter 232040: Loss = 0.02045176737010479, lr = [2.5e-05] +[2024-05-26 07:22:23,574] - INFO: Epoch 2321/9999, Iter 232080: Loss = 0.013271396048367023, lr = [2.5e-05] +[2024-05-26 07:22:52,247] - INFO: Epoch 2322/9999, Iter 232120: Loss = 0.007281828671693802, lr = [2.5e-05] +[2024-05-26 07:23:19,386] - INFO: Epoch 2322/9999, Iter 232160: Loss = 0.011325187049806118, lr = [2.5e-05] +[2024-05-26 07:23:47,853] - INFO: Epoch 2323/9999, Iter 232200: Loss = 0.0038730748929083347, lr = [2.5e-05] +[2024-05-26 07:24:15,139] - INFO: Epoch 2323/9999, Iter 232240: Loss = 0.01282016932964325, lr = [2.5e-05] +[2024-05-26 07:24:42,369] - INFO: Epoch 2323/9999, Iter 232280: Loss = 0.015966402366757393, lr = [2.5e-05] +[2024-05-26 07:25:10,967] - INFO: Epoch 2324/9999, Iter 232320: Loss = 0.009381896816194057, lr = [2.5e-05] +[2024-05-26 07:25:38,228] - INFO: Epoch 2324/9999, Iter 232360: Loss = 0.0165496077388525, lr = [2.5e-05] +[2024-05-26 07:26:07,066] - INFO: Epoch 2325/9999, Iter 232400: Loss = 0.01603102684020996, lr = [2.5e-05] +[2024-05-26 07:26:34,331] - INFO: Epoch 2325/9999, Iter 232440: Loss = 0.008058440871536732, lr = [2.5e-05] +[2024-05-26 07:27:01,586] - INFO: Epoch 2325/9999, Iter 232480: Loss = 0.011293208226561546, lr = [2.5e-05] +[2024-05-26 07:27:14,856] - INFO: Evaluate at epoch 2325! +[2024-05-26 07:27:24,803] - INFO: Eval PSNR (max): 38.204 (2325) SSIM (max): 0.9616 (2265) +[2024-05-26 07:27:24,804] - INFO: Eval PSNR (current): 38.204 (2325) SSIM (current): 0.9616 (2325) +[2024-05-26 07:27:24,804] - INFO: Evaluation over. +[2024-05-26 07:27:45,379] - INFO: Epoch 2326/9999, Iter 232520: Loss = 0.003951380029320717, lr = [2.5e-05] +[2024-05-26 07:28:12,595] - INFO: Epoch 2326/9999, Iter 232560: Loss = 0.012874792329967022, lr = [2.5e-05] +[2024-05-26 07:28:41,111] - INFO: Epoch 2327/9999, Iter 232600: Loss = 0.012414822354912758, lr = [2.5e-05] +[2024-05-26 07:29:08,331] - INFO: Epoch 2327/9999, Iter 232640: Loss = 0.013282758183777332, lr = [2.5e-05] +[2024-05-26 07:29:35,533] - INFO: Epoch 2327/9999, Iter 232680: Loss = 0.021186497062444687, lr = [2.5e-05] +[2024-05-26 07:30:04,073] - INFO: Epoch 2328/9999, Iter 232720: Loss = 0.017314013093709946, lr = [2.5e-05] +[2024-05-26 07:30:31,255] - INFO: Epoch 2328/9999, Iter 232760: Loss = 0.009169507771730423, lr = [2.5e-05] +[2024-05-26 07:30:59,819] - INFO: Epoch 2329/9999, Iter 232800: Loss = 0.01729598268866539, lr = [2.5e-05] +[2024-05-26 07:31:27,193] - INFO: Epoch 2329/9999, Iter 232840: Loss = 0.00629913667216897, lr = [2.5e-05] +[2024-05-26 07:31:54,418] - INFO: Epoch 2329/9999, Iter 232880: Loss = 0.009801975451409817, lr = [2.5e-05] +[2024-05-26 07:32:22,869] - INFO: Epoch 2330/9999, Iter 232920: Loss = 0.011004360392689705, lr = [2.5e-05] +[2024-05-26 07:32:50,095] - INFO: Epoch 2330/9999, Iter 232960: Loss = 0.012282700277864933, lr = [2.5e-05] +[2024-05-26 07:33:17,005] - INFO: Evaluate at epoch 2330! +[2024-05-26 07:33:21,593] - INFO: Eval PSNR (max): 38.204 (2325) SSIM (max): 0.9616 (2265) +[2024-05-26 07:33:21,593] - INFO: Eval PSNR (current): 38.184 (2330) SSIM (current): 0.9615 (2330) +[2024-05-26 07:33:21,593] - INFO: Evaluation over. +[2024-05-26 07:33:28,861] - INFO: Epoch 2331/9999, Iter 233000: Loss = 0.013263839296996593, lr = [2.5e-05] +[2024-05-26 07:33:56,296] - INFO: Epoch 2331/9999, Iter 233040: Loss = 0.006570001598447561, lr = [2.5e-05] +[2024-05-26 07:34:23,486] - INFO: Epoch 2331/9999, Iter 233080: Loss = 0.006292808800935745, lr = [2.5e-05] +[2024-05-26 07:34:52,188] - INFO: Epoch 2332/9999, Iter 233120: Loss = 0.013672727160155773, lr = [2.5e-05] +[2024-05-26 07:35:19,469] - INFO: Epoch 2332/9999, Iter 233160: Loss = 0.02495153807103634, lr = [2.5e-05] +[2024-05-26 07:35:47,876] - INFO: Epoch 2333/9999, Iter 233200: Loss = 0.01794615387916565, lr = [2.5e-05] +[2024-05-26 07:36:15,194] - INFO: Epoch 2333/9999, Iter 233240: Loss = 0.015483977273106575, lr = [2.5e-05] +[2024-05-26 07:36:42,318] - INFO: Epoch 2333/9999, Iter 233280: Loss = 0.0072989314794540405, lr = [2.5e-05] +[2024-05-26 07:37:10,870] - INFO: Epoch 2334/9999, Iter 233320: Loss = 0.010397086851298809, lr = [2.5e-05] +[2024-05-26 07:37:38,071] - INFO: Epoch 2334/9999, Iter 233360: Loss = 0.010152812115848064, lr = [2.5e-05] +[2024-05-26 07:38:06,776] - INFO: Epoch 2335/9999, Iter 233400: Loss = 0.0121096046641469, lr = [2.5e-05] +[2024-05-26 07:38:34,067] - INFO: Epoch 2335/9999, Iter 233440: Loss = 0.010078292340040207, lr = [2.5e-05] +[2024-05-26 07:39:01,260] - INFO: Epoch 2335/9999, Iter 233480: Loss = 0.009359721094369888, lr = [2.5e-05] +[2024-05-26 07:39:14,605] - INFO: Evaluate at epoch 2335! +[2024-05-26 07:39:19,127] - INFO: Eval PSNR (max): 38.204 (2325) SSIM (max): 0.9616 (2265) +[2024-05-26 07:39:19,128] - INFO: Eval PSNR (current): 38.198 (2335) SSIM (current): 0.9616 (2335) +[2024-05-26 07:39:19,128] - INFO: Evaluation over. +[2024-05-26 07:39:39,655] - INFO: Epoch 2336/9999, Iter 233520: Loss = 0.01352579053491354, lr = [2.5e-05] +[2024-05-26 07:40:06,863] - INFO: Epoch 2336/9999, Iter 233560: Loss = 0.011104098521173, lr = [2.5e-05] +[2024-05-26 07:40:35,269] - INFO: Epoch 2337/9999, Iter 233600: Loss = 0.008810772560536861, lr = [2.5e-05] +[2024-05-26 07:41:02,565] - INFO: Epoch 2337/9999, Iter 233640: Loss = 0.019354814663529396, lr = [2.5e-05] +[2024-05-26 07:41:29,774] - INFO: Epoch 2337/9999, Iter 233680: Loss = 0.013280343264341354, lr = [2.5e-05] +[2024-05-26 07:41:58,408] - INFO: Epoch 2338/9999, Iter 233720: Loss = 0.013643458485603333, lr = [2.5e-05] +[2024-05-26 07:42:25,591] - INFO: Epoch 2338/9999, Iter 233760: Loss = 0.014449689537286758, lr = [2.5e-05] +[2024-05-26 07:42:54,125] - INFO: Epoch 2339/9999, Iter 233800: Loss = 0.01961018517613411, lr = [2.5e-05] +[2024-05-26 07:43:21,499] - INFO: Epoch 2339/9999, Iter 233840: Loss = 0.009000302292406559, lr = [2.5e-05] +[2024-05-26 07:43:48,728] - INFO: Epoch 2339/9999, Iter 233880: Loss = 0.007166481576859951, lr = [2.5e-05] +[2024-05-26 07:44:17,482] - INFO: Epoch 2340/9999, Iter 233920: Loss = 0.007213030010461807, lr = [2.5e-05] +[2024-05-26 07:44:44,738] - INFO: Epoch 2340/9999, Iter 233960: Loss = 0.007823007181286812, lr = [2.5e-05] +[2024-05-26 07:45:11,761] - INFO: Evaluate at epoch 2340! +[2024-05-26 07:45:16,483] - INFO: Eval PSNR (max): 38.204 (2325) SSIM (max): 0.9616 (2265) +[2024-05-26 07:45:16,483] - INFO: Eval PSNR (current): 38.194 (2340) SSIM (current): 0.9615 (2340) +[2024-05-26 07:45:16,483] - INFO: Evaluation over. +[2024-05-26 07:45:23,467] - INFO: Epoch 2341/9999, Iter 234000: Loss = 0.009459445253014565, lr = [2.5e-05] +[2024-05-26 07:45:50,784] - INFO: Epoch 2341/9999, Iter 234040: Loss = 0.008866912685334682, lr = [2.5e-05] +[2024-05-26 07:46:17,974] - INFO: Epoch 2341/9999, Iter 234080: Loss = 0.006234949454665184, lr = [2.5e-05] +[2024-05-26 07:46:46,708] - INFO: Epoch 2342/9999, Iter 234120: Loss = 0.016085971146821976, lr = [2.5e-05] +[2024-05-26 07:47:13,934] - INFO: Epoch 2342/9999, Iter 234160: Loss = 0.006544190458953381, lr = [2.5e-05] +[2024-05-26 07:47:42,653] - INFO: Epoch 2343/9999, Iter 234200: Loss = 0.015344108454883099, lr = [2.5e-05] +[2024-05-26 07:48:09,957] - INFO: Epoch 2343/9999, Iter 234240: Loss = 0.016545860096812248, lr = [2.5e-05] +[2024-05-26 07:48:37,177] - INFO: Epoch 2343/9999, Iter 234280: Loss = 0.01265221182256937, lr = [2.5e-05] +[2024-05-26 07:49:06,037] - INFO: Epoch 2344/9999, Iter 234320: Loss = 0.009452290832996368, lr = [2.5e-05] +[2024-05-26 07:49:33,179] - INFO: Epoch 2344/9999, Iter 234360: Loss = 0.015169274061918259, lr = [2.5e-05] +[2024-05-26 07:50:01,805] - INFO: Epoch 2345/9999, Iter 234400: Loss = 0.013781577348709106, lr = [2.5e-05] +[2024-05-26 07:50:29,105] - INFO: Epoch 2345/9999, Iter 234440: Loss = 0.017661798745393753, lr = [2.5e-05] +[2024-05-26 07:50:56,351] - INFO: Epoch 2345/9999, Iter 234480: Loss = 0.014239221811294556, lr = [2.5e-05] +[2024-05-26 07:51:09,665] - INFO: Evaluate at epoch 2345! +[2024-05-26 07:51:25,108] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2345) +[2024-05-26 07:51:25,109] - INFO: Eval PSNR (current): 38.209 (2345) SSIM (current): 0.9616 (2345) +[2024-05-26 07:51:25,109] - INFO: Evaluation over. +[2024-05-26 07:51:46,066] - INFO: Epoch 2346/9999, Iter 234520: Loss = 0.020667120814323425, lr = [2.5e-05] +[2024-05-26 07:52:13,267] - INFO: Epoch 2346/9999, Iter 234560: Loss = 0.007830934599041939, lr = [2.5e-05] +[2024-05-26 07:52:41,844] - INFO: Epoch 2347/9999, Iter 234600: Loss = 0.008886908181011677, lr = [2.5e-05] +[2024-05-26 07:53:09,215] - INFO: Epoch 2347/9999, Iter 234640: Loss = 0.018163753673434258, lr = [2.5e-05] +[2024-05-26 07:53:36,426] - INFO: Epoch 2347/9999, Iter 234680: Loss = 0.014913450926542282, lr = [2.5e-05] +[2024-05-26 07:54:05,156] - INFO: Epoch 2348/9999, Iter 234720: Loss = 0.0119978291913867, lr = [2.5e-05] +[2024-05-26 07:54:32,386] - INFO: Epoch 2348/9999, Iter 234760: Loss = 0.025369741022586823, lr = [2.5e-05] +[2024-05-26 07:55:01,073] - INFO: Epoch 2349/9999, Iter 234800: Loss = 0.0062333969399333, lr = [2.5e-05] +[2024-05-26 07:55:28,360] - INFO: Epoch 2349/9999, Iter 234840: Loss = 0.01418406330049038, lr = [2.5e-05] +[2024-05-26 07:55:55,584] - INFO: Epoch 2349/9999, Iter 234880: Loss = 0.008842823095619678, lr = [2.5e-05] +[2024-05-26 07:56:24,228] - INFO: Epoch 2350/9999, Iter 234920: Loss = 0.007317039649933577, lr = [2.5e-05] +[2024-05-26 07:56:51,466] - INFO: Epoch 2350/9999, Iter 234960: Loss = 0.01275082677602768, lr = [2.5e-05] +[2024-05-26 07:57:18,383] - INFO: Evaluate at epoch 2350! +[2024-05-26 07:57:23,030] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2345) +[2024-05-26 07:57:23,030] - INFO: Eval PSNR (current): 38.186 (2350) SSIM (current): 0.9616 (2350) +[2024-05-26 07:57:23,030] - INFO: Evaluation over. +[2024-05-26 07:57:29,877] - INFO: Epoch 2351/9999, Iter 235000: Loss = 0.014231633394956589, lr = [2.5e-05] +[2024-05-26 07:57:57,223] - INFO: Epoch 2351/9999, Iter 235040: Loss = 0.013472335413098335, lr = [2.5e-05] +[2024-05-26 07:58:24,413] - INFO: Epoch 2351/9999, Iter 235080: Loss = 0.0068751368671655655, lr = [2.5e-05] +[2024-05-26 07:58:53,259] - INFO: Epoch 2352/9999, Iter 235120: Loss = 0.008181032724678516, lr = [2.5e-05] +[2024-05-26 07:59:20,417] - INFO: Epoch 2352/9999, Iter 235160: Loss = 0.006219722330570221, lr = [2.5e-05] +[2024-05-26 07:59:48,912] - INFO: Epoch 2353/9999, Iter 235200: Loss = 0.009531008079648018, lr = [2.5e-05] +[2024-05-26 08:00:16,156] - INFO: Epoch 2353/9999, Iter 235240: Loss = 0.011724725365638733, lr = [2.5e-05] +[2024-05-26 08:00:43,424] - INFO: Epoch 2353/9999, Iter 235280: Loss = 0.012939955107867718, lr = [2.5e-05] +[2024-05-26 08:01:12,221] - INFO: Epoch 2354/9999, Iter 235320: Loss = 0.011002199724316597, lr = [2.5e-05] +[2024-05-26 08:01:39,439] - INFO: Epoch 2354/9999, Iter 235360: Loss = 0.007461095228791237, lr = [2.5e-05] +[2024-05-26 08:02:07,927] - INFO: Epoch 2355/9999, Iter 235400: Loss = 0.013061650097370148, lr = [2.5e-05] +[2024-05-26 08:02:35,243] - INFO: Epoch 2355/9999, Iter 235440: Loss = 0.015964437276124954, lr = [2.5e-05] +[2024-05-26 08:03:02,445] - INFO: Epoch 2355/9999, Iter 235480: Loss = 0.014757752418518066, lr = [2.5e-05] +[2024-05-26 08:03:15,747] - INFO: Evaluate at epoch 2355! +[2024-05-26 08:03:20,504] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2345) +[2024-05-26 08:03:20,505] - INFO: Eval PSNR (current): 38.186 (2355) SSIM (current): 0.9616 (2355) +[2024-05-26 08:03:20,505] - INFO: Evaluation over. +[2024-05-26 08:03:40,906] - INFO: Epoch 2356/9999, Iter 235520: Loss = 0.004874772392213345, lr = [2.5e-05] +[2024-05-26 08:04:08,085] - INFO: Epoch 2356/9999, Iter 235560: Loss = 0.01032273005694151, lr = [2.5e-05] +[2024-05-26 08:04:36,664] - INFO: Epoch 2357/9999, Iter 235600: Loss = 0.018942682072520256, lr = [2.5e-05] +[2024-05-26 08:05:04,024] - INFO: Epoch 2357/9999, Iter 235640: Loss = 0.02235928364098072, lr = [2.5e-05] +[2024-05-26 08:05:31,265] - INFO: Epoch 2357/9999, Iter 235680: Loss = 0.006920208223164082, lr = [2.5e-05] +[2024-05-26 08:05:59,982] - INFO: Epoch 2358/9999, Iter 235720: Loss = 0.005947441328316927, lr = [2.5e-05] +[2024-05-26 08:06:27,254] - INFO: Epoch 2358/9999, Iter 235760: Loss = 0.00888479221612215, lr = [2.5e-05] +[2024-05-26 08:06:55,844] - INFO: Epoch 2359/9999, Iter 235800: Loss = 0.0068356869742274284, lr = [2.5e-05] +[2024-05-26 08:07:23,241] - INFO: Epoch 2359/9999, Iter 235840: Loss = 0.008302897214889526, lr = [2.5e-05] +[2024-05-26 08:07:50,592] - INFO: Epoch 2359/9999, Iter 235880: Loss = 0.009070738218724728, lr = [2.5e-05] +[2024-05-26 08:08:19,203] - INFO: Epoch 2360/9999, Iter 235920: Loss = 0.009495319798588753, lr = [2.5e-05] +[2024-05-26 08:08:46,475] - INFO: Epoch 2360/9999, Iter 235960: Loss = 0.019907141104340553, lr = [2.5e-05] +[2024-05-26 08:09:13,438] - INFO: Evaluate at epoch 2360! +[2024-05-26 08:09:18,102] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2345) +[2024-05-26 08:09:18,102] - INFO: Eval PSNR (current): 38.193 (2360) SSIM (current): 0.9616 (2360) +[2024-05-26 08:09:18,102] - INFO: Evaluation over. +[2024-05-26 08:09:24,964] - INFO: Epoch 2361/9999, Iter 236000: Loss = 0.013830052688717842, lr = [2.5e-05] +[2024-05-26 08:09:52,238] - INFO: Epoch 2361/9999, Iter 236040: Loss = 0.009043878875672817, lr = [2.5e-05] +[2024-05-26 08:10:19,458] - INFO: Epoch 2361/9999, Iter 236080: Loss = 0.013052631169557571, lr = [2.5e-05] +[2024-05-26 08:10:48,036] - INFO: Epoch 2362/9999, Iter 236120: Loss = 0.00986952893435955, lr = [2.5e-05] +[2024-05-26 08:11:15,250] - INFO: Epoch 2362/9999, Iter 236160: Loss = 0.020006343722343445, lr = [2.5e-05] +[2024-05-26 08:11:43,880] - INFO: Epoch 2363/9999, Iter 236200: Loss = 0.009974848479032516, lr = [2.5e-05] +[2024-05-26 08:12:11,099] - INFO: Epoch 2363/9999, Iter 236240: Loss = 0.018188009038567543, lr = [2.5e-05] +[2024-05-26 08:12:38,301] - INFO: Epoch 2363/9999, Iter 236280: Loss = 0.011866218410432339, lr = [2.5e-05] +[2024-05-26 08:13:06,721] - INFO: Epoch 2364/9999, Iter 236320: Loss = 0.014214575290679932, lr = [2.5e-05] +[2024-05-26 08:13:33,964] - INFO: Epoch 2364/9999, Iter 236360: Loss = 0.017695831134915352, lr = [2.5e-05] +[2024-05-26 08:14:02,545] - INFO: Epoch 2365/9999, Iter 236400: Loss = 0.011519397608935833, lr = [2.5e-05] +[2024-05-26 08:14:29,806] - INFO: Epoch 2365/9999, Iter 236440: Loss = 0.015848252922296524, lr = [2.5e-05] +[2024-05-26 08:14:57,047] - INFO: Epoch 2365/9999, Iter 236480: Loss = 0.013642686419188976, lr = [2.5e-05] +[2024-05-26 08:15:10,397] - INFO: Evaluate at epoch 2365! +[2024-05-26 08:15:20,220] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2365) +[2024-05-26 08:15:20,220] - INFO: Eval PSNR (current): 38.202 (2365) SSIM (current): 0.9616 (2365) +[2024-05-26 08:15:20,220] - INFO: Evaluation over. +[2024-05-26 08:15:41,003] - INFO: Epoch 2366/9999, Iter 236520: Loss = 0.013271861709654331, lr = [2.5e-05] +[2024-05-26 08:16:08,177] - INFO: Epoch 2366/9999, Iter 236560: Loss = 0.008458264172077179, lr = [2.5e-05] +[2024-05-26 08:16:36,596] - INFO: Epoch 2367/9999, Iter 236600: Loss = 0.010217037983238697, lr = [2.5e-05] +[2024-05-26 08:17:03,878] - INFO: Epoch 2367/9999, Iter 236640: Loss = 0.015117731876671314, lr = [2.5e-05] +[2024-05-26 08:17:31,118] - INFO: Epoch 2367/9999, Iter 236680: Loss = 0.013818864710628986, lr = [2.5e-05] +[2024-05-26 08:18:00,027] - INFO: Epoch 2368/9999, Iter 236720: Loss = 0.008638892322778702, lr = [2.5e-05] +[2024-05-26 08:18:27,238] - INFO: Epoch 2368/9999, Iter 236760: Loss = 0.008937404491007328, lr = [2.5e-05] +[2024-05-26 08:18:55,844] - INFO: Epoch 2369/9999, Iter 236800: Loss = 0.014048552140593529, lr = [2.5e-05] +[2024-05-26 08:19:23,131] - INFO: Epoch 2369/9999, Iter 236840: Loss = 0.0085545489564538, lr = [2.5e-05] +[2024-05-26 08:19:50,378] - INFO: Epoch 2369/9999, Iter 236880: Loss = 0.01942223496735096, lr = [2.5e-05] +[2024-05-26 08:20:18,851] - INFO: Epoch 2370/9999, Iter 236920: Loss = 0.012476572766900063, lr = [2.5e-05] +[2024-05-26 08:20:46,086] - INFO: Epoch 2370/9999, Iter 236960: Loss = 0.012146932072937489, lr = [2.5e-05] +[2024-05-26 08:21:12,998] - INFO: Evaluate at epoch 2370! +[2024-05-26 08:21:17,657] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2365) +[2024-05-26 08:21:17,657] - INFO: Eval PSNR (current): 38.189 (2370) SSIM (current): 0.9616 (2370) +[2024-05-26 08:21:17,657] - INFO: Evaluation over. +[2024-05-26 08:21:24,325] - INFO: Epoch 2371/9999, Iter 237000: Loss = 0.01614663563668728, lr = [2.5e-05] +[2024-05-26 08:21:51,598] - INFO: Epoch 2371/9999, Iter 237040: Loss = 0.013072935864329338, lr = [2.5e-05] +[2024-05-26 08:22:18,845] - INFO: Epoch 2371/9999, Iter 237080: Loss = 0.01019131951034069, lr = [2.5e-05] +[2024-05-26 08:22:47,889] - INFO: Epoch 2372/9999, Iter 237120: Loss = 0.007690125145018101, lr = [2.5e-05] +[2024-05-26 08:23:15,159] - INFO: Epoch 2372/9999, Iter 237160: Loss = 0.010570622980594635, lr = [2.5e-05] +[2024-05-26 08:23:43,756] - INFO: Epoch 2373/9999, Iter 237200: Loss = 0.013895737007260323, lr = [2.5e-05] +[2024-05-26 08:24:11,047] - INFO: Epoch 2373/9999, Iter 237240: Loss = 0.008954633958637714, lr = [2.5e-05] +[2024-05-26 08:24:38,243] - INFO: Epoch 2373/9999, Iter 237280: Loss = 0.009505050256848335, lr = [2.5e-05] +[2024-05-26 08:25:06,849] - INFO: Epoch 2374/9999, Iter 237320: Loss = 0.015748674049973488, lr = [2.5e-05] +[2024-05-26 08:25:34,033] - INFO: Epoch 2374/9999, Iter 237360: Loss = 0.013269574381411076, lr = [2.5e-05] +[2024-05-26 08:26:02,741] - INFO: Epoch 2375/9999, Iter 237400: Loss = 0.006356177385896444, lr = [2.5e-05] +[2024-05-26 08:26:30,027] - INFO: Epoch 2375/9999, Iter 237440: Loss = 0.02513549104332924, lr = [2.5e-05] +[2024-05-26 08:26:57,207] - INFO: Epoch 2375/9999, Iter 237480: Loss = 0.013076091185212135, lr = [2.5e-05] +[2024-05-26 08:27:10,510] - INFO: Evaluate at epoch 2375! +[2024-05-26 08:27:20,460] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:27:20,460] - INFO: Eval PSNR (current): 38.220 (2375) SSIM (current): 0.9616 (2375) +[2024-05-26 08:27:20,460] - INFO: Evaluation over. +[2024-05-26 08:27:40,935] - INFO: Epoch 2376/9999, Iter 237520: Loss = 0.009633423760533333, lr = [2.5e-05] +[2024-05-26 08:28:08,215] - INFO: Epoch 2376/9999, Iter 237560: Loss = 0.011463845148682594, lr = [2.5e-05] +[2024-05-26 08:28:36,849] - INFO: Epoch 2377/9999, Iter 237600: Loss = 0.011110920459032059, lr = [2.5e-05] +[2024-05-26 08:29:04,179] - INFO: Epoch 2377/9999, Iter 237640: Loss = 0.009027218446135521, lr = [2.5e-05] +[2024-05-26 08:29:31,436] - INFO: Epoch 2377/9999, Iter 237680: Loss = 0.013341378420591354, lr = [2.5e-05] +[2024-05-26 08:30:00,253] - INFO: Epoch 2378/9999, Iter 237720: Loss = 0.009968433529138565, lr = [2.5e-05] +[2024-05-26 08:30:27,451] - INFO: Epoch 2378/9999, Iter 237760: Loss = 0.012431632727384567, lr = [2.5e-05] +[2024-05-26 08:30:56,180] - INFO: Epoch 2379/9999, Iter 237800: Loss = 0.009686443954706192, lr = [2.5e-05] +[2024-05-26 08:31:23,522] - INFO: Epoch 2379/9999, Iter 237840: Loss = 0.01213579811155796, lr = [2.5e-05] +[2024-05-26 08:31:50,696] - INFO: Epoch 2379/9999, Iter 237880: Loss = 0.014775442890822887, lr = [2.5e-05] +[2024-05-26 08:32:19,414] - INFO: Epoch 2380/9999, Iter 237920: Loss = 0.008885092101991177, lr = [2.5e-05] +[2024-05-26 08:32:46,691] - INFO: Epoch 2380/9999, Iter 237960: Loss = 0.009864331223070621, lr = [2.5e-05] +[2024-05-26 08:33:13,604] - INFO: Evaluate at epoch 2380! +[2024-05-26 08:33:18,458] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:33:18,458] - INFO: Eval PSNR (current): 38.198 (2380) SSIM (current): 0.9616 (2380) +[2024-05-26 08:33:18,458] - INFO: Evaluation over. +[2024-05-26 08:33:25,282] - INFO: Epoch 2381/9999, Iter 238000: Loss = 0.013439313508570194, lr = [2.5e-05] +[2024-05-26 08:33:52,716] - INFO: Epoch 2381/9999, Iter 238040: Loss = 0.012557919137179852, lr = [2.5e-05] +[2024-05-26 08:34:19,936] - INFO: Epoch 2381/9999, Iter 238080: Loss = 0.010865844786167145, lr = [2.5e-05] +[2024-05-26 08:34:48,866] - INFO: Epoch 2382/9999, Iter 238120: Loss = 0.019578488543629646, lr = [2.5e-05] +[2024-05-26 08:35:16,041] - INFO: Epoch 2382/9999, Iter 238160: Loss = 0.013072356581687927, lr = [2.5e-05] +[2024-05-26 08:35:44,566] - INFO: Epoch 2383/9999, Iter 238200: Loss = 0.008571038022637367, lr = [2.5e-05] +[2024-05-26 08:36:11,887] - INFO: Epoch 2383/9999, Iter 238240: Loss = 0.004423194564878941, lr = [2.5e-05] +[2024-05-26 08:36:39,072] - INFO: Epoch 2383/9999, Iter 238280: Loss = 0.009383155032992363, lr = [2.5e-05] +[2024-05-26 08:37:07,990] - INFO: Epoch 2384/9999, Iter 238320: Loss = 0.007118081673979759, lr = [2.5e-05] +[2024-05-26 08:37:35,220] - INFO: Epoch 2384/9999, Iter 238360: Loss = 0.01455326471477747, lr = [2.5e-05] +[2024-05-26 08:38:03,816] - INFO: Epoch 2385/9999, Iter 238400: Loss = 0.01653211936354637, lr = [2.5e-05] +[2024-05-26 08:38:31,057] - INFO: Epoch 2385/9999, Iter 238440: Loss = 0.010331396944820881, lr = [2.5e-05] +[2024-05-26 08:38:58,278] - INFO: Epoch 2385/9999, Iter 238480: Loss = 0.01828455924987793, lr = [2.5e-05] +[2024-05-26 08:39:11,567] - INFO: Evaluate at epoch 2385! +[2024-05-26 08:39:16,252] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:39:16,252] - INFO: Eval PSNR (current): 38.167 (2385) SSIM (current): 0.9615 (2385) +[2024-05-26 08:39:16,252] - INFO: Evaluation over. +[2024-05-26 08:39:36,750] - INFO: Epoch 2386/9999, Iter 238520: Loss = 0.01948932744562626, lr = [2.5e-05] +[2024-05-26 08:40:03,985] - INFO: Epoch 2386/9999, Iter 238560: Loss = 0.00658620847389102, lr = [2.5e-05] +[2024-05-26 08:40:32,429] - INFO: Epoch 2387/9999, Iter 238600: Loss = 0.013528453186154366, lr = [2.5e-05] +[2024-05-26 08:40:59,782] - INFO: Epoch 2387/9999, Iter 238640: Loss = 0.010076434351503849, lr = [2.5e-05] +[2024-05-26 08:41:27,057] - INFO: Epoch 2387/9999, Iter 238680: Loss = 0.011798953637480736, lr = [2.5e-05] +[2024-05-26 08:41:55,721] - INFO: Epoch 2388/9999, Iter 238720: Loss = 0.0107202660292387, lr = [2.5e-05] +[2024-05-26 08:42:22,970] - INFO: Epoch 2388/9999, Iter 238760: Loss = 0.010095583274960518, lr = [2.5e-05] +[2024-05-26 08:42:51,357] - INFO: Epoch 2389/9999, Iter 238800: Loss = 0.012104824185371399, lr = [2.5e-05] +[2024-05-26 08:43:18,667] - INFO: Epoch 2389/9999, Iter 238840: Loss = 0.005754887126386166, lr = [2.5e-05] +[2024-05-26 08:43:45,866] - INFO: Epoch 2389/9999, Iter 238880: Loss = 0.009359774179756641, lr = [2.5e-05] +[2024-05-26 08:44:14,518] - INFO: Epoch 2390/9999, Iter 238920: Loss = 0.013501608744263649, lr = [2.5e-05] +[2024-05-26 08:44:41,806] - INFO: Epoch 2390/9999, Iter 238960: Loss = 0.011148051358759403, lr = [2.5e-05] +[2024-05-26 08:45:08,703] - INFO: Evaluate at epoch 2390! +[2024-05-26 08:45:13,431] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:45:13,431] - INFO: Eval PSNR (current): 38.151 (2390) SSIM (current): 0.9615 (2390) +[2024-05-26 08:45:13,431] - INFO: Evaluation over. +[2024-05-26 08:45:19,992] - INFO: Epoch 2391/9999, Iter 239000: Loss = 0.012825584039092064, lr = [2.5e-05] +[2024-05-26 08:45:47,299] - INFO: Epoch 2391/9999, Iter 239040: Loss = 0.009603857062757015, lr = [2.5e-05] +[2024-05-26 08:46:14,488] - INFO: Epoch 2391/9999, Iter 239080: Loss = 0.011087588034570217, lr = [2.5e-05] +[2024-05-26 08:46:43,014] - INFO: Epoch 2392/9999, Iter 239120: Loss = 0.013736359775066376, lr = [2.5e-05] +[2024-05-26 08:47:10,252] - INFO: Epoch 2392/9999, Iter 239160: Loss = 0.004879754967987537, lr = [2.5e-05] +[2024-05-26 08:47:38,785] - INFO: Epoch 2393/9999, Iter 239200: Loss = 0.012623593211174011, lr = [2.5e-05] +[2024-05-26 08:48:06,102] - INFO: Epoch 2393/9999, Iter 239240: Loss = 0.015304161235690117, lr = [2.5e-05] +[2024-05-26 08:48:33,286] - INFO: Epoch 2393/9999, Iter 239280: Loss = 0.014116079546511173, lr = [2.5e-05] +[2024-05-26 08:49:02,023] - INFO: Epoch 2394/9999, Iter 239320: Loss = 0.011139819398522377, lr = [2.5e-05] +[2024-05-26 08:49:29,258] - INFO: Epoch 2394/9999, Iter 239360: Loss = 0.013638200238347054, lr = [2.5e-05] +[2024-05-26 08:49:57,930] - INFO: Epoch 2395/9999, Iter 239400: Loss = 0.022125115618109703, lr = [2.5e-05] +[2024-05-26 08:50:25,327] - INFO: Epoch 2395/9999, Iter 239440: Loss = 0.01246234867721796, lr = [2.5e-05] +[2024-05-26 08:50:52,564] - INFO: Epoch 2395/9999, Iter 239480: Loss = 0.010650288313627243, lr = [2.5e-05] +[2024-05-26 08:51:05,856] - INFO: Evaluate at epoch 2395! +[2024-05-26 08:51:10,482] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:51:10,482] - INFO: Eval PSNR (current): 38.176 (2395) SSIM (current): 0.9614 (2395) +[2024-05-26 08:51:10,482] - INFO: Evaluation over. +[2024-05-26 08:51:31,084] - INFO: Epoch 2396/9999, Iter 239520: Loss = 0.009803295135498047, lr = [2.5e-05] +[2024-05-26 08:51:58,363] - INFO: Epoch 2396/9999, Iter 239560: Loss = 0.006973556242883205, lr = [2.5e-05] +[2024-05-26 08:52:26,979] - INFO: Epoch 2397/9999, Iter 239600: Loss = 0.010279307141900063, lr = [2.5e-05] +[2024-05-26 08:52:54,275] - INFO: Epoch 2397/9999, Iter 239640: Loss = 0.015442276373505592, lr = [2.5e-05] +[2024-05-26 08:53:21,507] - INFO: Epoch 2397/9999, Iter 239680: Loss = 0.008092928677797318, lr = [2.5e-05] +[2024-05-26 08:53:50,285] - INFO: Epoch 2398/9999, Iter 239720: Loss = 0.009017306379973888, lr = [2.5e-05] +[2024-05-26 08:54:17,554] - INFO: Epoch 2398/9999, Iter 239760: Loss = 0.007340708747506142, lr = [2.5e-05] +[2024-05-26 08:54:46,310] - INFO: Epoch 2399/9999, Iter 239800: Loss = 0.006363087799400091, lr = [2.5e-05] +[2024-05-26 08:55:13,606] - INFO: Epoch 2399/9999, Iter 239840: Loss = 0.019456414505839348, lr = [2.5e-05] +[2024-05-26 08:55:40,807] - INFO: Epoch 2399/9999, Iter 239880: Loss = 0.012780772522091866, lr = [2.5e-05] +[2024-05-26 08:56:09,510] - INFO: Epoch 2400/9999, Iter 239920: Loss = 0.014672130346298218, lr = [2.5e-05] +[2024-05-26 08:56:36,771] - INFO: Epoch 2400/9999, Iter 239960: Loss = 0.014877849258482456, lr = [2.5e-05] +[2024-05-26 08:57:03,633] - INFO: Evaluate at epoch 2400! +[2024-05-26 08:57:08,379] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:57:08,380] - INFO: Eval PSNR (current): 38.156 (2400) SSIM (current): 0.9615 (2400) +[2024-05-26 08:57:08,380] - INFO: Evaluation over. +[2024-05-26 08:57:15,050] - INFO: Epoch 2401/9999, Iter 240000: Loss = 0.017278576269745827, lr = [2.5e-05] +[2024-05-26 08:57:42,461] - INFO: Epoch 2401/9999, Iter 240040: Loss = 0.011695623397827148, lr = [2.5e-05] +[2024-05-26 08:58:09,743] - INFO: Epoch 2401/9999, Iter 240080: Loss = 0.02147061564028263, lr = [2.5e-05] +[2024-05-26 08:58:38,379] - INFO: Epoch 2402/9999, Iter 240120: Loss = 0.010662215761840343, lr = [2.5e-05] +[2024-05-26 08:59:05,593] - INFO: Epoch 2402/9999, Iter 240160: Loss = 0.017093311995267868, lr = [2.5e-05] +[2024-05-26 08:59:34,223] - INFO: Epoch 2403/9999, Iter 240200: Loss = 0.014317549765110016, lr = [2.5e-05] +[2024-05-26 09:00:01,617] - INFO: Epoch 2403/9999, Iter 240240: Loss = 0.023909110575914383, lr = [2.5e-05] +[2024-05-26 09:00:28,753] - INFO: Epoch 2403/9999, Iter 240280: Loss = 0.013377671130001545, lr = [2.5e-05] +[2024-05-26 09:00:57,648] - INFO: Epoch 2404/9999, Iter 240320: Loss = 0.009876399300992489, lr = [2.5e-05] +[2024-05-26 09:01:24,867] - INFO: Epoch 2404/9999, Iter 240360: Loss = 0.0074714599177241325, lr = [2.5e-05] +[2024-05-26 09:02:00,622] - INFO: Epoch 2405/9999, Iter 240400: Loss = 0.01477577444165945, lr = [2.5e-05] +[2024-05-26 09:02:28,835] - INFO: Epoch 2405/9999, Iter 240440: Loss = 0.014995268546044827, lr = [2.5e-05] +[2024-05-26 09:02:56,114] - INFO: Epoch 2405/9999, Iter 240480: Loss = 0.01071508415043354, lr = [2.5e-05] +[2024-05-26 09:03:10,906] - INFO: Evaluate at epoch 2405! +[2024-05-26 09:03:17,603] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:03:17,604] - INFO: Eval PSNR (current): 38.178 (2405) SSIM (current): 0.9615 (2405) +[2024-05-26 09:03:17,604] - INFO: Evaluation over. +[2024-05-26 09:03:38,175] - INFO: Epoch 2406/9999, Iter 240520: Loss = 0.027630183845758438, lr = [2.5e-05] +[2024-05-26 09:04:06,427] - INFO: Epoch 2406/9999, Iter 240560: Loss = 0.018262088298797607, lr = [2.5e-05] +[2024-05-26 09:04:35,263] - INFO: Epoch 2407/9999, Iter 240600: Loss = 0.02143331617116928, lr = [2.5e-05] +[2024-05-26 09:05:02,835] - INFO: Epoch 2407/9999, Iter 240640: Loss = 0.006200293079018593, lr = [2.5e-05] +[2024-05-26 09:05:30,183] - INFO: Epoch 2407/9999, Iter 240680: Loss = 0.011358101852238178, lr = [2.5e-05] +[2024-05-26 09:06:01,486] - INFO: Epoch 2408/9999, Iter 240720: Loss = 0.008728774264454842, lr = [2.5e-05] +[2024-05-26 09:06:28,774] - INFO: Epoch 2408/9999, Iter 240760: Loss = 0.005059157498180866, lr = [2.5e-05] +[2024-05-26 09:06:59,293] - INFO: Epoch 2409/9999, Iter 240800: Loss = 0.006849680095911026, lr = [2.5e-05] +[2024-05-26 09:07:26,627] - INFO: Epoch 2409/9999, Iter 240840: Loss = 0.006002326961606741, lr = [2.5e-05] +[2024-05-26 09:07:54,744] - INFO: Epoch 2409/9999, Iter 240880: Loss = 0.009243316948413849, lr = [2.5e-05] +[2024-05-26 09:08:23,475] - INFO: Epoch 2410/9999, Iter 240920: Loss = 0.020626911893486977, lr = [2.5e-05] +[2024-05-26 09:08:50,771] - INFO: Epoch 2410/9999, Iter 240960: Loss = 0.013386238366365433, lr = [2.5e-05] +[2024-05-26 09:09:17,674] - INFO: Evaluate at epoch 2410! +[2024-05-26 09:09:22,251] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:09:22,251] - INFO: Eval PSNR (current): 38.193 (2410) SSIM (current): 0.9615 (2410) +[2024-05-26 09:09:22,252] - INFO: Evaluation over. +[2024-05-26 09:09:29,317] - INFO: Epoch 2411/9999, Iter 241000: Loss = 0.015395142138004303, lr = [2.5e-05] +[2024-05-26 09:09:56,685] - INFO: Epoch 2411/9999, Iter 241040: Loss = 0.015589374117553234, lr = [2.5e-05] +[2024-05-26 09:10:23,945] - INFO: Epoch 2411/9999, Iter 241080: Loss = 0.008677304722368717, lr = [2.5e-05] +[2024-05-26 09:10:52,634] - INFO: Epoch 2412/9999, Iter 241120: Loss = 0.017579659819602966, lr = [2.5e-05] +[2024-05-26 09:11:19,868] - INFO: Epoch 2412/9999, Iter 241160: Loss = 0.010171561501920223, lr = [2.5e-05] +[2024-05-26 09:11:48,660] - INFO: Epoch 2413/9999, Iter 241200: Loss = 0.02865021862089634, lr = [2.5e-05] +[2024-05-26 09:12:16,040] - INFO: Epoch 2413/9999, Iter 241240: Loss = 0.013080960139632225, lr = [2.5e-05] +[2024-05-26 09:12:43,254] - INFO: Epoch 2413/9999, Iter 241280: Loss = 0.010190482251346111, lr = [2.5e-05] +[2024-05-26 09:13:12,027] - INFO: Epoch 2414/9999, Iter 241320: Loss = 0.021731093525886536, lr = [2.5e-05] +[2024-05-26 09:13:39,241] - INFO: Epoch 2414/9999, Iter 241360: Loss = 0.009555486962199211, lr = [2.5e-05] +[2024-05-26 09:14:07,693] - INFO: Epoch 2415/9999, Iter 241400: Loss = 0.015023992396891117, lr = [2.5e-05] +[2024-05-26 09:14:35,017] - INFO: Epoch 2415/9999, Iter 241440: Loss = 0.010515374131500721, lr = [2.5e-05] +[2024-05-26 09:15:02,215] - INFO: Epoch 2415/9999, Iter 241480: Loss = 0.017356256023049355, lr = [2.5e-05] +[2024-05-26 09:15:15,521] - INFO: Evaluate at epoch 2415! +[2024-05-26 09:15:20,286] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:15:20,286] - INFO: Eval PSNR (current): 38.195 (2415) SSIM (current): 0.9615 (2415) +[2024-05-26 09:15:20,286] - INFO: Evaluation over. +[2024-05-26 09:15:40,841] - INFO: Epoch 2416/9999, Iter 241520: Loss = 0.012023954652249813, lr = [2.5e-05] +[2024-05-26 09:16:08,054] - INFO: Epoch 2416/9999, Iter 241560: Loss = 0.014737208373844624, lr = [2.5e-05] +[2024-05-26 09:16:36,472] - INFO: Epoch 2417/9999, Iter 241600: Loss = 0.012913917191326618, lr = [2.5e-05] +[2024-05-26 09:17:03,768] - INFO: Epoch 2417/9999, Iter 241640: Loss = 0.014572979882359505, lr = [2.5e-05] +[2024-05-26 09:17:31,030] - INFO: Epoch 2417/9999, Iter 241680: Loss = 0.01436564140021801, lr = [2.5e-05] +[2024-05-26 09:17:59,643] - INFO: Epoch 2418/9999, Iter 241720: Loss = 0.011708181351423264, lr = [2.5e-05] +[2024-05-26 09:18:26,890] - INFO: Epoch 2418/9999, Iter 241760: Loss = 0.013284650631248951, lr = [2.5e-05] +[2024-05-26 09:18:55,237] - INFO: Epoch 2419/9999, Iter 241800: Loss = 0.013025062158703804, lr = [2.5e-05] +[2024-05-26 09:19:22,539] - INFO: Epoch 2419/9999, Iter 241840: Loss = 0.012471395544707775, lr = [2.5e-05] +[2024-05-26 09:19:49,767] - INFO: Epoch 2419/9999, Iter 241880: Loss = 0.01008873712271452, lr = [2.5e-05] +[2024-05-26 09:20:18,435] - INFO: Epoch 2420/9999, Iter 241920: Loss = 0.020801667124032974, lr = [2.5e-05] +[2024-05-26 09:20:45,767] - INFO: Epoch 2420/9999, Iter 241960: Loss = 0.010882081463932991, lr = [2.5e-05] +[2024-05-26 09:21:12,689] - INFO: Evaluate at epoch 2420! +[2024-05-26 09:21:17,389] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:21:17,389] - INFO: Eval PSNR (current): 38.133 (2420) SSIM (current): 0.9615 (2420) +[2024-05-26 09:21:17,389] - INFO: Evaluation over. +[2024-05-26 09:21:24,347] - INFO: Epoch 2421/9999, Iter 242000: Loss = 0.017369529232382774, lr = [2.5e-05] +[2024-05-26 09:21:51,611] - INFO: Epoch 2421/9999, Iter 242040: Loss = 0.012246540747582912, lr = [2.5e-05] +[2024-05-26 09:22:18,836] - INFO: Epoch 2421/9999, Iter 242080: Loss = 0.011696581728756428, lr = [2.5e-05] +[2024-05-26 09:22:47,599] - INFO: Epoch 2422/9999, Iter 242120: Loss = 0.006734156049787998, lr = [2.5e-05] +[2024-05-26 09:23:14,799] - INFO: Epoch 2422/9999, Iter 242160: Loss = 0.009627802297472954, lr = [2.5e-05] +[2024-05-26 09:23:43,303] - INFO: Epoch 2423/9999, Iter 242200: Loss = 0.010394812561571598, lr = [2.5e-05] +[2024-05-26 09:24:10,625] - INFO: Epoch 2423/9999, Iter 242240: Loss = 0.02179506979882717, lr = [2.5e-05] +[2024-05-26 09:24:37,824] - INFO: Epoch 2423/9999, Iter 242280: Loss = 0.017788434401154518, lr = [2.5e-05] +[2024-05-26 09:25:06,562] - INFO: Epoch 2424/9999, Iter 242320: Loss = 0.012249485589563847, lr = [2.5e-05] +[2024-05-26 09:25:33,863] - INFO: Epoch 2424/9999, Iter 242360: Loss = 0.010958613827824593, lr = [2.5e-05] +[2024-05-26 09:26:02,254] - INFO: Epoch 2425/9999, Iter 242400: Loss = 0.018358483910560608, lr = [2.5e-05] +[2024-05-26 09:26:29,537] - INFO: Epoch 2425/9999, Iter 242440: Loss = 0.011409091763198376, lr = [2.5e-05] +[2024-05-26 09:26:56,779] - INFO: Epoch 2425/9999, Iter 242480: Loss = 0.018014557659626007, lr = [2.5e-05] +[2024-05-26 09:27:10,094] - INFO: Evaluate at epoch 2425! +[2024-05-26 09:27:14,675] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:27:14,675] - INFO: Eval PSNR (current): 38.191 (2425) SSIM (current): 0.9616 (2425) +[2024-05-26 09:27:14,675] - INFO: Evaluation over. +[2024-05-26 09:27:35,131] - INFO: Epoch 2426/9999, Iter 242520: Loss = 0.01896977797150612, lr = [2.5e-05] +[2024-05-26 09:28:02,388] - INFO: Epoch 2426/9999, Iter 242560: Loss = 0.008349636569619179, lr = [2.5e-05] +[2024-05-26 09:28:30,955] - INFO: Epoch 2427/9999, Iter 242600: Loss = 0.023664161562919617, lr = [2.5e-05] +[2024-05-26 09:28:58,267] - INFO: Epoch 2427/9999, Iter 242640: Loss = 0.007908967323601246, lr = [2.5e-05] +[2024-05-26 09:29:25,473] - INFO: Epoch 2427/9999, Iter 242680: Loss = 0.00820542499423027, lr = [2.5e-05] +[2024-05-26 09:29:54,230] - INFO: Epoch 2428/9999, Iter 242720: Loss = 0.009943853132426739, lr = [2.5e-05] +[2024-05-26 09:30:21,455] - INFO: Epoch 2428/9999, Iter 242760: Loss = 0.010973207652568817, lr = [2.5e-05] +[2024-05-26 09:30:50,174] - INFO: Epoch 2429/9999, Iter 242800: Loss = 0.01847565919160843, lr = [2.5e-05] +[2024-05-26 09:31:17,436] - INFO: Epoch 2429/9999, Iter 242840: Loss = 0.02060030959546566, lr = [2.5e-05] +[2024-05-26 09:31:44,634] - INFO: Epoch 2429/9999, Iter 242880: Loss = 0.011887092143297195, lr = [2.5e-05] +[2024-05-26 09:32:13,349] - INFO: Epoch 2430/9999, Iter 242920: Loss = 0.011803348548710346, lr = [2.5e-05] +[2024-05-26 09:32:40,700] - INFO: Epoch 2430/9999, Iter 242960: Loss = 0.01379944197833538, lr = [2.5e-05] +[2024-05-26 09:33:07,609] - INFO: Evaluate at epoch 2430! +[2024-05-26 09:33:12,238] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:33:12,238] - INFO: Eval PSNR (current): 38.172 (2430) SSIM (current): 0.9616 (2430) +[2024-05-26 09:33:12,238] - INFO: Evaluation over. +[2024-05-26 09:33:18,948] - INFO: Epoch 2431/9999, Iter 243000: Loss = 0.016864364966750145, lr = [2.5e-05] +[2024-05-26 09:33:46,225] - INFO: Epoch 2431/9999, Iter 243040: Loss = 0.013837549835443497, lr = [2.5e-05] +[2024-05-26 09:34:13,519] - INFO: Epoch 2431/9999, Iter 243080: Loss = 0.011473143473267555, lr = [2.5e-05] +[2024-05-26 09:34:42,181] - INFO: Epoch 2432/9999, Iter 243120: Loss = 0.008873868733644485, lr = [2.5e-05] +[2024-05-26 09:35:09,378] - INFO: Epoch 2432/9999, Iter 243160: Loss = 0.00603047339245677, lr = [2.5e-05] +[2024-05-26 09:35:37,867] - INFO: Epoch 2433/9999, Iter 243200: Loss = 0.005971488077193499, lr = [2.5e-05] +[2024-05-26 09:36:05,105] - INFO: Epoch 2433/9999, Iter 243240: Loss = 0.011151356622576714, lr = [2.5e-05] +[2024-05-26 09:36:32,337] - INFO: Epoch 2433/9999, Iter 243280: Loss = 0.0099439462646842, lr = [2.5e-05] +[2024-05-26 09:37:00,834] - INFO: Epoch 2434/9999, Iter 243320: Loss = 0.0101160341873765, lr = [2.5e-05] +[2024-05-26 09:37:28,037] - INFO: Epoch 2434/9999, Iter 243360: Loss = 0.014673696830868721, lr = [2.5e-05] +[2024-05-26 09:37:56,655] - INFO: Epoch 2435/9999, Iter 243400: Loss = 0.009089915081858635, lr = [2.5e-05] +[2024-05-26 09:38:23,961] - INFO: Epoch 2435/9999, Iter 243440: Loss = 0.007831979542970657, lr = [2.5e-05] +[2024-05-26 09:38:51,177] - INFO: Epoch 2435/9999, Iter 243480: Loss = 0.012832583859562874, lr = [2.5e-05] +[2024-05-26 09:39:04,474] - INFO: Evaluate at epoch 2435! +[2024-05-26 09:39:14,517] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 09:39:14,517] - INFO: Eval PSNR (current): 38.208 (2435) SSIM (current): 0.9616 (2435) +[2024-05-26 09:39:14,518] - INFO: Evaluation over. +[2024-05-26 09:39:35,060] - INFO: Epoch 2436/9999, Iter 243520: Loss = 0.01639600656926632, lr = [2.5e-05] +[2024-05-26 09:40:02,256] - INFO: Epoch 2436/9999, Iter 243560: Loss = 0.013095195405185223, lr = [2.5e-05] +[2024-05-26 09:40:31,007] - INFO: Epoch 2437/9999, Iter 243600: Loss = 0.015003054402768612, lr = [2.5e-05] +[2024-05-26 09:40:58,304] - INFO: Epoch 2437/9999, Iter 243640: Loss = 0.008800970390439034, lr = [2.5e-05] +[2024-05-26 09:41:25,530] - INFO: Epoch 2437/9999, Iter 243680: Loss = 0.010730717331171036, lr = [2.5e-05] +[2024-05-26 09:41:54,103] - INFO: Epoch 2438/9999, Iter 243720: Loss = 0.015040497295558453, lr = [2.5e-05] +[2024-05-26 09:42:21,338] - INFO: Epoch 2438/9999, Iter 243760: Loss = 0.014008795842528343, lr = [2.5e-05] +[2024-05-26 09:42:49,876] - INFO: Epoch 2439/9999, Iter 243800: Loss = 0.00830461923032999, lr = [2.5e-05] +[2024-05-26 09:43:17,135] - INFO: Epoch 2439/9999, Iter 243840: Loss = 0.011911392211914062, lr = [2.5e-05] +[2024-05-26 09:43:44,321] - INFO: Epoch 2439/9999, Iter 243880: Loss = 0.01190551370382309, lr = [2.5e-05] +[2024-05-26 09:44:12,965] - INFO: Epoch 2440/9999, Iter 243920: Loss = 0.009877963922917843, lr = [2.5e-05] +[2024-05-26 09:44:40,139] - INFO: Epoch 2440/9999, Iter 243960: Loss = 0.007065013516694307, lr = [2.5e-05] +[2024-05-26 09:45:07,031] - INFO: Evaluate at epoch 2440! +[2024-05-26 09:45:11,923] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 09:45:11,923] - INFO: Eval PSNR (current): 38.180 (2440) SSIM (current): 0.9615 (2440) +[2024-05-26 09:45:11,923] - INFO: Evaluation over. +[2024-05-26 09:45:19,122] - INFO: Epoch 2441/9999, Iter 244000: Loss = 0.01662762463092804, lr = [2.5e-05] +[2024-05-26 09:45:46,459] - INFO: Epoch 2441/9999, Iter 244040: Loss = 0.015388761647045612, lr = [2.5e-05] +[2024-05-26 09:46:13,742] - INFO: Epoch 2441/9999, Iter 244080: Loss = 0.014267868362367153, lr = [2.5e-05] +[2024-05-26 09:46:42,333] - INFO: Epoch 2442/9999, Iter 244120: Loss = 0.006658559199422598, lr = [2.5e-05] +[2024-05-26 09:47:09,589] - INFO: Epoch 2442/9999, Iter 244160: Loss = 0.014717672020196915, lr = [2.5e-05] +[2024-05-26 09:47:37,952] - INFO: Epoch 2443/9999, Iter 244200: Loss = 0.018779927864670753, lr = [2.5e-05] +[2024-05-26 09:48:05,239] - INFO: Epoch 2443/9999, Iter 244240: Loss = 0.014137792401015759, lr = [2.5e-05] +[2024-05-26 09:48:32,533] - INFO: Epoch 2443/9999, Iter 244280: Loss = 0.01268662977963686, lr = [2.5e-05] +[2024-05-26 09:49:01,446] - INFO: Epoch 2444/9999, Iter 244320: Loss = 0.00451644929125905, lr = [2.5e-05] +[2024-05-26 09:49:28,617] - INFO: Epoch 2444/9999, Iter 244360: Loss = 0.012360398657619953, lr = [2.5e-05] +[2024-05-26 09:49:57,533] - INFO: Epoch 2445/9999, Iter 244400: Loss = 0.012779484502971172, lr = [2.5e-05] +[2024-05-26 09:50:24,874] - INFO: Epoch 2445/9999, Iter 244440: Loss = 0.011047814972698689, lr = [2.5e-05] +[2024-05-26 09:50:52,027] - INFO: Epoch 2445/9999, Iter 244480: Loss = 0.011870951391756535, lr = [2.5e-05] +[2024-05-26 09:51:05,325] - INFO: Evaluate at epoch 2445! +[2024-05-26 09:51:10,106] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 09:51:10,106] - INFO: Eval PSNR (current): 38.179 (2445) SSIM (current): 0.9615 (2445) +[2024-05-26 09:51:10,106] - INFO: Evaluation over. +[2024-05-26 09:51:32,439] - INFO: Epoch 2446/9999, Iter 244520: Loss = 0.006281121168285608, lr = [2.5e-05] +[2024-05-26 09:51:59,747] - INFO: Epoch 2446/9999, Iter 244560: Loss = 0.008689912036061287, lr = [2.5e-05] +[2024-05-26 09:52:28,484] - INFO: Epoch 2447/9999, Iter 244600: Loss = 0.014192539267241955, lr = [2.5e-05] +[2024-05-26 09:52:55,761] - INFO: Epoch 2447/9999, Iter 244640: Loss = 0.015400581993162632, lr = [2.5e-05] +[2024-05-26 09:53:23,018] - INFO: Epoch 2447/9999, Iter 244680: Loss = 0.010677654296159744, lr = [2.5e-05] +[2024-05-26 09:53:51,651] - INFO: Epoch 2448/9999, Iter 244720: Loss = 0.008413514122366905, lr = [2.5e-05] +[2024-05-26 09:54:18,922] - INFO: Epoch 2448/9999, Iter 244760: Loss = 0.011109251528978348, lr = [2.5e-05] +[2024-05-26 09:54:47,600] - INFO: Epoch 2449/9999, Iter 244800: Loss = 0.00937599129974842, lr = [2.5e-05] +[2024-05-26 09:55:14,892] - INFO: Epoch 2449/9999, Iter 244840: Loss = 0.008577928878366947, lr = [2.5e-05] +[2024-05-26 09:55:42,095] - INFO: Epoch 2449/9999, Iter 244880: Loss = 0.007888457737863064, lr = [2.5e-05] +[2024-05-26 09:56:10,810] - INFO: Epoch 2450/9999, Iter 244920: Loss = 0.010153300128877163, lr = [2.5e-05] +[2024-05-26 09:56:38,007] - INFO: Epoch 2450/9999, Iter 244960: Loss = 0.012926525436341763, lr = [2.5e-05] +[2024-05-26 09:57:04,925] - INFO: Evaluate at epoch 2450! +[2024-05-26 09:57:09,652] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 09:57:09,652] - INFO: Eval PSNR (current): 38.191 (2450) SSIM (current): 0.9616 (2450) +[2024-05-26 09:57:09,652] - INFO: Evaluation over. +[2024-05-26 09:57:16,344] - INFO: Epoch 2451/9999, Iter 245000: Loss = 0.0070903245359659195, lr = [2.5e-05] +[2024-05-26 09:57:43,639] - INFO: Epoch 2451/9999, Iter 245040: Loss = 0.015596859157085419, lr = [2.5e-05] +[2024-05-26 09:58:10,834] - INFO: Epoch 2451/9999, Iter 245080: Loss = 0.008949761278927326, lr = [2.5e-05] +[2024-05-26 09:58:39,508] - INFO: Epoch 2452/9999, Iter 245120: Loss = 0.01947883516550064, lr = [2.5e-05] +[2024-05-26 09:59:06,785] - INFO: Epoch 2452/9999, Iter 245160: Loss = 0.008195087313652039, lr = [2.5e-05] +[2024-05-26 09:59:35,356] - INFO: Epoch 2453/9999, Iter 245200: Loss = 0.011282740160822868, lr = [2.5e-05] +[2024-05-26 10:00:02,631] - INFO: Epoch 2453/9999, Iter 245240: Loss = 0.014141516759991646, lr = [2.5e-05] +[2024-05-26 10:00:29,850] - INFO: Epoch 2453/9999, Iter 245280: Loss = 0.007030615117400885, lr = [2.5e-05] +[2024-05-26 10:00:58,628] - INFO: Epoch 2454/9999, Iter 245320: Loss = 0.015604449436068535, lr = [2.5e-05] +[2024-05-26 10:01:25,810] - INFO: Epoch 2454/9999, Iter 245360: Loss = 0.014413682743906975, lr = [2.5e-05] +[2024-05-26 10:01:54,634] - INFO: Epoch 2455/9999, Iter 245400: Loss = 0.00877455621957779, lr = [2.5e-05] +[2024-05-26 10:02:21,996] - INFO: Epoch 2455/9999, Iter 245440: Loss = 0.01580917462706566, lr = [2.5e-05] +[2024-05-26 10:02:49,183] - INFO: Epoch 2455/9999, Iter 245480: Loss = 0.007165351416915655, lr = [2.5e-05] +[2024-05-26 10:03:02,516] - INFO: Evaluate at epoch 2455! +[2024-05-26 10:03:07,156] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:03:07,156] - INFO: Eval PSNR (current): 38.154 (2455) SSIM (current): 0.9616 (2455) +[2024-05-26 10:03:07,156] - INFO: Evaluation over. +[2024-05-26 10:03:27,529] - INFO: Epoch 2456/9999, Iter 245520: Loss = 0.014239187352359295, lr = [2.5e-05] +[2024-05-26 10:03:54,739] - INFO: Epoch 2456/9999, Iter 245560: Loss = 0.01699140854179859, lr = [2.5e-05] +[2024-05-26 10:04:23,237] - INFO: Epoch 2457/9999, Iter 245600: Loss = 0.011708417907357216, lr = [2.5e-05] +[2024-05-26 10:04:50,544] - INFO: Epoch 2457/9999, Iter 245640: Loss = 0.01547612901777029, lr = [2.5e-05] +[2024-05-26 10:05:17,737] - INFO: Epoch 2457/9999, Iter 245680: Loss = 0.009934513829648495, lr = [2.5e-05] +[2024-05-26 10:05:46,298] - INFO: Epoch 2458/9999, Iter 245720: Loss = 0.00911541935056448, lr = [2.5e-05] +[2024-05-26 10:06:13,480] - INFO: Epoch 2458/9999, Iter 245760: Loss = 0.01349456887692213, lr = [2.5e-05] +[2024-05-26 10:06:41,688] - INFO: Epoch 2459/9999, Iter 245800: Loss = 0.019410546869039536, lr = [2.5e-05] +[2024-05-26 10:07:08,931] - INFO: Epoch 2459/9999, Iter 245840: Loss = 0.011422256007790565, lr = [2.5e-05] +[2024-05-26 10:07:36,165] - INFO: Epoch 2459/9999, Iter 245880: Loss = 0.012366639450192451, lr = [2.5e-05] +[2024-05-26 10:08:04,598] - INFO: Epoch 2460/9999, Iter 245920: Loss = 0.019013086333870888, lr = [2.5e-05] +[2024-05-26 10:08:31,802] - INFO: Epoch 2460/9999, Iter 245960: Loss = 0.008187045343220234, lr = [2.5e-05] +[2024-05-26 10:08:58,694] - INFO: Evaluate at epoch 2460! +[2024-05-26 10:09:03,261] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:09:03,261] - INFO: Eval PSNR (current): 38.178 (2460) SSIM (current): 0.9616 (2460) +[2024-05-26 10:09:03,262] - INFO: Evaluation over. +[2024-05-26 10:09:10,381] - INFO: Epoch 2461/9999, Iter 246000: Loss = 0.01666777953505516, lr = [2.5e-05] +[2024-05-26 10:09:37,724] - INFO: Epoch 2461/9999, Iter 246040: Loss = 0.007946955040097237, lr = [2.5e-05] +[2024-05-26 10:10:04,962] - INFO: Epoch 2461/9999, Iter 246080: Loss = 0.018981510773301125, lr = [2.5e-05] +[2024-05-26 10:10:33,427] - INFO: Epoch 2462/9999, Iter 246120: Loss = 0.015782499685883522, lr = [2.5e-05] +[2024-05-26 10:11:00,681] - INFO: Epoch 2462/9999, Iter 246160: Loss = 0.014005245640873909, lr = [2.5e-05] +[2024-05-26 10:11:29,236] - INFO: Epoch 2463/9999, Iter 246200: Loss = 0.016626449301838875, lr = [2.5e-05] +[2024-05-26 10:11:56,535] - INFO: Epoch 2463/9999, Iter 246240: Loss = 0.015180796384811401, lr = [2.5e-05] +[2024-05-26 10:12:23,753] - INFO: Epoch 2463/9999, Iter 246280: Loss = 0.012796427123248577, lr = [2.5e-05] +[2024-05-26 10:12:52,436] - INFO: Epoch 2464/9999, Iter 246320: Loss = 0.01411672867834568, lr = [2.5e-05] +[2024-05-26 10:13:19,630] - INFO: Epoch 2464/9999, Iter 246360: Loss = 0.01428127195686102, lr = [2.5e-05] +[2024-05-26 10:13:48,213] - INFO: Epoch 2465/9999, Iter 246400: Loss = 0.013033926486968994, lr = [2.5e-05] +[2024-05-26 10:14:15,526] - INFO: Epoch 2465/9999, Iter 246440: Loss = 0.01313002035021782, lr = [2.5e-05] +[2024-05-26 10:14:42,724] - INFO: Epoch 2465/9999, Iter 246480: Loss = 0.012233191169798374, lr = [2.5e-05] +[2024-05-26 10:14:56,057] - INFO: Evaluate at epoch 2465! +[2024-05-26 10:15:00,616] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:15:00,617] - INFO: Eval PSNR (current): 38.184 (2465) SSIM (current): 0.9616 (2465) +[2024-05-26 10:15:00,617] - INFO: Evaluation over. +[2024-05-26 10:15:21,094] - INFO: Epoch 2466/9999, Iter 246520: Loss = 0.01760037988424301, lr = [2.5e-05] +[2024-05-26 10:15:48,330] - INFO: Epoch 2466/9999, Iter 246560: Loss = 0.0109565369784832, lr = [2.5e-05] +[2024-05-26 10:16:16,917] - INFO: Epoch 2467/9999, Iter 246600: Loss = 0.011849532835185528, lr = [2.5e-05] +[2024-05-26 10:16:44,177] - INFO: Epoch 2467/9999, Iter 246640: Loss = 0.004068248439580202, lr = [2.5e-05] +[2024-05-26 10:17:11,366] - INFO: Epoch 2467/9999, Iter 246680: Loss = 0.010476724244654179, lr = [2.5e-05] +[2024-05-26 10:17:40,172] - INFO: Epoch 2468/9999, Iter 246720: Loss = 0.018207905814051628, lr = [2.5e-05] +[2024-05-26 10:18:07,377] - INFO: Epoch 2468/9999, Iter 246760: Loss = 0.012780756689608097, lr = [2.5e-05] +[2024-05-26 10:18:35,928] - INFO: Epoch 2469/9999, Iter 246800: Loss = 0.00988802220672369, lr = [2.5e-05] +[2024-05-26 10:19:03,353] - INFO: Epoch 2469/9999, Iter 246840: Loss = 0.013116102665662766, lr = [2.5e-05] +[2024-05-26 10:19:30,527] - INFO: Epoch 2469/9999, Iter 246880: Loss = 0.02356266975402832, lr = [2.5e-05] +[2024-05-26 10:19:59,260] - INFO: Epoch 2470/9999, Iter 246920: Loss = 0.010523003526031971, lr = [2.5e-05] +[2024-05-26 10:20:26,487] - INFO: Epoch 2470/9999, Iter 246960: Loss = 0.01397792063653469, lr = [2.5e-05] +[2024-05-26 10:20:53,385] - INFO: Evaluate at epoch 2470! +[2024-05-26 10:20:57,885] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:20:57,885] - INFO: Eval PSNR (current): 38.190 (2470) SSIM (current): 0.9616 (2470) +[2024-05-26 10:20:57,885] - INFO: Evaluation over. +[2024-05-26 10:21:04,506] - INFO: Epoch 2471/9999, Iter 247000: Loss = 0.015347710810601711, lr = [2.5e-05] +[2024-05-26 10:21:31,816] - INFO: Epoch 2471/9999, Iter 247040: Loss = 0.011147522367537022, lr = [2.5e-05] +[2024-05-26 10:21:59,063] - INFO: Epoch 2471/9999, Iter 247080: Loss = 0.00827830284833908, lr = [2.5e-05] +[2024-05-26 10:22:27,674] - INFO: Epoch 2472/9999, Iter 247120: Loss = 0.012637156993150711, lr = [2.5e-05] +[2024-05-26 10:22:54,815] - INFO: Epoch 2472/9999, Iter 247160: Loss = 0.02270410768687725, lr = [2.5e-05] +[2024-05-26 10:23:23,257] - INFO: Epoch 2473/9999, Iter 247200: Loss = 0.010808300226926804, lr = [2.5e-05] +[2024-05-26 10:23:50,685] - INFO: Epoch 2473/9999, Iter 247240: Loss = 0.015464047901332378, lr = [2.5e-05] +[2024-05-26 10:24:17,888] - INFO: Epoch 2473/9999, Iter 247280: Loss = 0.011740823276340961, lr = [2.5e-05] +[2024-05-26 10:24:46,530] - INFO: Epoch 2474/9999, Iter 247320: Loss = 0.014786221086978912, lr = [2.5e-05] +[2024-05-26 10:25:13,731] - INFO: Epoch 2474/9999, Iter 247360: Loss = 0.011291863396763802, lr = [2.5e-05] +[2024-05-26 10:25:42,396] - INFO: Epoch 2475/9999, Iter 247400: Loss = 0.01343582570552826, lr = [2.5e-05] +[2024-05-26 10:26:09,660] - INFO: Epoch 2475/9999, Iter 247440: Loss = 0.005542119964957237, lr = [2.5e-05] +[2024-05-26 10:26:36,952] - INFO: Epoch 2475/9999, Iter 247480: Loss = 0.008287597447633743, lr = [2.5e-05] +[2024-05-26 10:26:50,228] - INFO: Evaluate at epoch 2475! +[2024-05-26 10:26:55,071] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:26:55,071] - INFO: Eval PSNR (current): 38.181 (2475) SSIM (current): 0.9616 (2475) +[2024-05-26 10:26:55,071] - INFO: Evaluation over. +[2024-05-26 10:27:15,350] - INFO: Epoch 2476/9999, Iter 247520: Loss = 0.008306384086608887, lr = [2.5e-05] +[2024-05-26 10:27:42,549] - INFO: Epoch 2476/9999, Iter 247560: Loss = 0.008131396025419235, lr = [2.5e-05] +[2024-05-26 10:28:11,005] - INFO: Epoch 2477/9999, Iter 247600: Loss = 0.012772183865308762, lr = [2.5e-05] +[2024-05-26 10:28:38,276] - INFO: Epoch 2477/9999, Iter 247640: Loss = 0.010319991037249565, lr = [2.5e-05] +[2024-05-26 10:29:05,496] - INFO: Epoch 2477/9999, Iter 247680: Loss = 0.009713838808238506, lr = [2.5e-05] +[2024-05-26 10:29:34,276] - INFO: Epoch 2478/9999, Iter 247720: Loss = 0.01382193062454462, lr = [2.5e-05] +[2024-05-26 10:30:01,546] - INFO: Epoch 2478/9999, Iter 247760: Loss = 0.00858383346349001, lr = [2.5e-05] +[2024-05-26 10:30:29,962] - INFO: Epoch 2479/9999, Iter 247800: Loss = 0.010321044363081455, lr = [2.5e-05] +[2024-05-26 10:30:57,300] - INFO: Epoch 2479/9999, Iter 247840: Loss = 0.01239037699997425, lr = [2.5e-05] +[2024-05-26 10:31:24,496] - INFO: Epoch 2479/9999, Iter 247880: Loss = 0.015725694596767426, lr = [2.5e-05] +[2024-05-26 10:31:53,126] - INFO: Epoch 2480/9999, Iter 247920: Loss = 0.011164753697812557, lr = [2.5e-05] +[2024-05-26 10:32:20,282] - INFO: Epoch 2480/9999, Iter 247960: Loss = 0.014732707291841507, lr = [2.5e-05] +[2024-05-26 10:32:47,145] - INFO: Evaluate at epoch 2480! +[2024-05-26 10:32:51,620] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:32:51,620] - INFO: Eval PSNR (current): 38.200 (2480) SSIM (current): 0.9616 (2480) +[2024-05-26 10:32:51,620] - INFO: Evaluation over. +[2024-05-26 10:32:58,835] - INFO: Epoch 2481/9999, Iter 248000: Loss = 0.016274970024824142, lr = [2.5e-05] +[2024-05-26 10:33:26,077] - INFO: Epoch 2481/9999, Iter 248040: Loss = 0.011940324679017067, lr = [2.5e-05] +[2024-05-26 10:33:53,252] - INFO: Epoch 2481/9999, Iter 248080: Loss = 0.014174253679811954, lr = [2.5e-05] +[2024-05-26 10:34:22,024] - INFO: Epoch 2482/9999, Iter 248120: Loss = 0.01698497124016285, lr = [2.5e-05] +[2024-05-26 10:34:49,246] - INFO: Epoch 2482/9999, Iter 248160: Loss = 0.007086066994816065, lr = [2.5e-05] +[2024-05-26 10:35:17,722] - INFO: Epoch 2483/9999, Iter 248200: Loss = 0.010488503612577915, lr = [2.5e-05] +[2024-05-26 10:35:45,005] - INFO: Epoch 2483/9999, Iter 248240: Loss = 0.009673841297626495, lr = [2.5e-05] +[2024-05-26 10:36:12,214] - INFO: Epoch 2483/9999, Iter 248280: Loss = 0.01888599805533886, lr = [2.5e-05] +[2024-05-26 10:36:40,788] - INFO: Epoch 2484/9999, Iter 248320: Loss = 0.009845657274127007, lr = [2.5e-05] +[2024-05-26 10:37:07,994] - INFO: Epoch 2484/9999, Iter 248360: Loss = 0.009478653781116009, lr = [2.5e-05] +[2024-05-26 10:37:36,464] - INFO: Epoch 2485/9999, Iter 248400: Loss = 0.013614878058433533, lr = [2.5e-05] +[2024-05-26 10:38:03,721] - INFO: Epoch 2485/9999, Iter 248440: Loss = 0.016538390889763832, lr = [2.5e-05] +[2024-05-26 10:38:30,942] - INFO: Epoch 2485/9999, Iter 248480: Loss = 0.007289777044206858, lr = [2.5e-05] +[2024-05-26 10:38:44,262] - INFO: Evaluate at epoch 2485! +[2024-05-26 10:38:48,980] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:38:48,980] - INFO: Eval PSNR (current): 38.191 (2485) SSIM (current): 0.9616 (2485) +[2024-05-26 10:38:48,980] - INFO: Evaluation over. +[2024-05-26 10:39:09,562] - INFO: Epoch 2486/9999, Iter 248520: Loss = 0.009422163479030132, lr = [2.5e-05] +[2024-05-26 10:39:36,795] - INFO: Epoch 2486/9999, Iter 248560: Loss = 0.0092161251232028, lr = [2.5e-05] +[2024-05-26 10:40:05,396] - INFO: Epoch 2487/9999, Iter 248600: Loss = 0.010957109741866589, lr = [2.5e-05] +[2024-05-26 10:40:32,698] - INFO: Epoch 2487/9999, Iter 248640: Loss = 0.010029072873294353, lr = [2.5e-05] +[2024-05-26 10:40:59,912] - INFO: Epoch 2487/9999, Iter 248680: Loss = 0.011983441188931465, lr = [2.5e-05] +[2024-05-26 10:41:28,578] - INFO: Epoch 2488/9999, Iter 248720: Loss = 0.011320441029965878, lr = [2.5e-05] +[2024-05-26 10:41:55,791] - INFO: Epoch 2488/9999, Iter 248760: Loss = 0.011111914180219173, lr = [2.5e-05] +[2024-05-26 10:42:24,218] - INFO: Epoch 2489/9999, Iter 248800: Loss = 0.01628599502146244, lr = [2.5e-05] +[2024-05-26 10:42:51,675] - INFO: Epoch 2489/9999, Iter 248840: Loss = 0.007890519686043262, lr = [2.5e-05] +[2024-05-26 10:43:18,901] - INFO: Epoch 2489/9999, Iter 248880: Loss = 0.01462616864591837, lr = [2.5e-05] +[2024-05-26 10:43:47,707] - INFO: Epoch 2490/9999, Iter 248920: Loss = 0.009055203758180141, lr = [2.5e-05] +[2024-05-26 10:44:14,940] - INFO: Epoch 2490/9999, Iter 248960: Loss = 0.013542226515710354, lr = [2.5e-05] +[2024-05-26 10:44:41,801] - INFO: Evaluate at epoch 2490! +[2024-05-26 10:44:46,415] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:44:46,415] - INFO: Eval PSNR (current): 38.200 (2490) SSIM (current): 0.9615 (2490) +[2024-05-26 10:44:46,415] - INFO: Evaluation over. +[2024-05-26 10:44:53,152] - INFO: Epoch 2491/9999, Iter 249000: Loss = 0.009067408740520477, lr = [2.5e-05] +[2024-05-26 10:45:20,471] - INFO: Epoch 2491/9999, Iter 249040: Loss = 0.013646461069583893, lr = [2.5e-05] +[2024-05-26 10:45:47,660] - INFO: Epoch 2491/9999, Iter 249080: Loss = 0.013555575162172318, lr = [2.5e-05] +[2024-05-26 10:46:16,393] - INFO: Epoch 2492/9999, Iter 249120: Loss = 0.007525103632360697, lr = [2.5e-05] +[2024-05-26 10:46:43,623] - INFO: Epoch 2492/9999, Iter 249160: Loss = 0.012642313726246357, lr = [2.5e-05] +[2024-05-26 10:47:12,370] - INFO: Epoch 2493/9999, Iter 249200: Loss = 0.019203850999474525, lr = [2.5e-05] +[2024-05-26 10:47:39,614] - INFO: Epoch 2493/9999, Iter 249240: Loss = 0.013500538654625416, lr = [2.5e-05] +[2024-05-26 10:48:06,906] - INFO: Epoch 2493/9999, Iter 249280: Loss = 0.010316482745110989, lr = [2.5e-05] +[2024-05-26 10:48:35,532] - INFO: Epoch 2494/9999, Iter 249320: Loss = 0.012653247453272343, lr = [2.5e-05] +[2024-05-26 10:49:02,776] - INFO: Epoch 2494/9999, Iter 249360: Loss = 0.012215115129947662, lr = [2.5e-05] +[2024-05-26 10:49:31,388] - INFO: Epoch 2495/9999, Iter 249400: Loss = 0.01467698160558939, lr = [2.5e-05] +[2024-05-26 10:49:58,688] - INFO: Epoch 2495/9999, Iter 249440: Loss = 0.011405461467802525, lr = [2.5e-05] +[2024-05-26 10:50:25,947] - INFO: Epoch 2495/9999, Iter 249480: Loss = 0.00676985876634717, lr = [2.5e-05] +[2024-05-26 10:50:39,218] - INFO: Evaluate at epoch 2495! +[2024-05-26 10:50:43,835] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:50:43,835] - INFO: Eval PSNR (current): 38.217 (2495) SSIM (current): 0.9616 (2495) +[2024-05-26 10:50:43,835] - INFO: Evaluation over. +[2024-05-26 10:51:04,384] - INFO: Epoch 2496/9999, Iter 249520: Loss = 0.01356144342571497, lr = [2.5e-05] +[2024-05-26 10:51:31,600] - INFO: Epoch 2496/9999, Iter 249560: Loss = 0.011115276254713535, lr = [2.5e-05] +[2024-05-26 10:52:00,072] - INFO: Epoch 2497/9999, Iter 249600: Loss = 0.010733861476182938, lr = [2.5e-05] +[2024-05-26 10:52:27,436] - INFO: Epoch 2497/9999, Iter 249640: Loss = 0.008867939002811909, lr = [2.5e-05] +[2024-05-26 10:52:54,622] - INFO: Epoch 2497/9999, Iter 249680: Loss = 0.010762465186417103, lr = [2.5e-05] +[2024-05-26 10:53:23,264] - INFO: Epoch 2498/9999, Iter 249720: Loss = 0.014122086577117443, lr = [2.5e-05] +[2024-05-26 10:53:50,482] - INFO: Epoch 2498/9999, Iter 249760: Loss = 0.009769325144588947, lr = [2.5e-05] +[2024-05-26 10:54:19,119] - INFO: Epoch 2499/9999, Iter 249800: Loss = 0.011411122046411037, lr = [2.5e-05] +[2024-05-26 10:54:46,484] - INFO: Epoch 2499/9999, Iter 249840: Loss = 0.015917956829071045, lr = [2.5e-05] +[2024-05-26 10:55:13,722] - INFO: Epoch 2499/9999, Iter 249880: Loss = 0.008781143464148045, lr = [2.5e-05] +[2024-05-26 10:55:42,232] - INFO: Epoch 2500/9999, Iter 249920: Loss = 0.014556210488080978, lr = [1.25e-05] +[2024-05-26 10:56:09,416] - INFO: Epoch 2500/9999, Iter 249960: Loss = 0.014862469397485256, lr = [1.25e-05] +[2024-05-26 10:56:36,388] - INFO: Evaluate at epoch 2500! +[2024-05-26 10:56:46,639] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9616 (2435) +[2024-05-26 10:56:46,639] - INFO: Eval PSNR (current): 38.230 (2500) SSIM (current): 0.9616 (2500) +[2024-05-26 10:56:46,639] - INFO: Evaluation over. +[2024-05-26 10:56:53,432] - INFO: Epoch 2501/9999, Iter 250000: Loss = 0.013489442877471447, lr = [1.25e-05] +[2024-05-26 10:57:20,794] - INFO: Epoch 2501/9999, Iter 250040: Loss = 0.015821175649762154, lr = [1.25e-05] +[2024-05-26 10:57:48,041] - INFO: Epoch 2501/9999, Iter 250080: Loss = 0.010952351614832878, lr = [1.25e-05] +[2024-05-26 10:58:16,766] - INFO: Epoch 2502/9999, Iter 250120: Loss = 0.0071327234618365765, lr = [1.25e-05] +[2024-05-26 10:58:43,977] - INFO: Epoch 2502/9999, Iter 250160: Loss = 0.011212660931050777, lr = [1.25e-05] +[2024-05-26 10:59:12,575] - INFO: Epoch 2503/9999, Iter 250200: Loss = 0.011552874930202961, lr = [1.25e-05] +[2024-05-26 10:59:39,847] - INFO: Epoch 2503/9999, Iter 250240: Loss = 0.008653693832457066, lr = [1.25e-05] +[2024-05-26 11:00:07,066] - INFO: Epoch 2503/9999, Iter 250280: Loss = 0.0063452813774347305, lr = [1.25e-05] +[2024-05-26 11:00:35,749] - INFO: Epoch 2504/9999, Iter 250320: Loss = 0.0253805723041296, lr = [1.25e-05] +[2024-05-26 11:01:02,950] - INFO: Epoch 2504/9999, Iter 250360: Loss = 0.019918575882911682, lr = [1.25e-05] +[2024-05-26 11:01:31,606] - INFO: Epoch 2505/9999, Iter 250400: Loss = 0.012863925658166409, lr = [1.25e-05] +[2024-05-26 11:01:58,909] - INFO: Epoch 2505/9999, Iter 250440: Loss = 0.019442403689026833, lr = [1.25e-05] +[2024-05-26 11:02:26,121] - INFO: Epoch 2505/9999, Iter 250480: Loss = 0.008972966112196445, lr = [1.25e-05] +[2024-05-26 11:02:39,414] - INFO: Evaluate at epoch 2505! +[2024-05-26 11:02:44,113] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9616 (2435) +[2024-05-26 11:02:44,114] - INFO: Eval PSNR (current): 38.222 (2505) SSIM (current): 0.9616 (2505) +[2024-05-26 11:02:44,114] - INFO: Evaluation over. +[2024-05-26 11:03:04,704] - INFO: Epoch 2506/9999, Iter 250520: Loss = 0.008671988733112812, lr = [1.25e-05] +[2024-05-26 11:03:31,893] - INFO: Epoch 2506/9999, Iter 250560: Loss = 0.015751032158732414, lr = [1.25e-05] +[2024-05-26 11:04:00,697] - INFO: Epoch 2507/9999, Iter 250600: Loss = 0.009080726653337479, lr = [1.25e-05] +[2024-05-26 11:04:27,994] - INFO: Epoch 2507/9999, Iter 250640: Loss = 0.014898108318448067, lr = [1.25e-05] +[2024-05-26 11:04:55,153] - INFO: Epoch 2507/9999, Iter 250680: Loss = 0.006683554966002703, lr = [1.25e-05] +[2024-05-26 11:05:23,923] - INFO: Epoch 2508/9999, Iter 250720: Loss = 0.004748884122818708, lr = [1.25e-05] +[2024-05-26 11:05:51,115] - INFO: Epoch 2508/9999, Iter 250760: Loss = 0.01201494038105011, lr = [1.25e-05] +[2024-05-26 11:06:19,752] - INFO: Epoch 2509/9999, Iter 250800: Loss = 0.00917329266667366, lr = [1.25e-05] +[2024-05-26 11:06:47,012] - INFO: Epoch 2509/9999, Iter 250840: Loss = 0.009420440532267094, lr = [1.25e-05] +[2024-05-26 11:07:14,214] - INFO: Epoch 2509/9999, Iter 250880: Loss = 0.015830202028155327, lr = [1.25e-05] +[2024-05-26 11:07:42,837] - INFO: Epoch 2510/9999, Iter 250920: Loss = 0.01489696279168129, lr = [1.25e-05] +[2024-05-26 11:08:10,020] - INFO: Epoch 2510/9999, Iter 250960: Loss = 0.009889430366456509, lr = [1.25e-05] +[2024-05-26 11:08:36,947] - INFO: Evaluate at epoch 2510! +[2024-05-26 11:08:46,890] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9617 (2510) +[2024-05-26 11:08:46,891] - INFO: Eval PSNR (current): 38.222 (2510) SSIM (current): 0.9617 (2510) +[2024-05-26 11:08:46,891] - INFO: Evaluation over. +[2024-05-26 11:08:53,672] - INFO: Epoch 2511/9999, Iter 251000: Loss = 0.006569484248757362, lr = [1.25e-05] +[2024-05-26 11:09:20,954] - INFO: Epoch 2511/9999, Iter 251040: Loss = 0.00794646330177784, lr = [1.25e-05] +[2024-05-26 11:09:48,170] - INFO: Epoch 2511/9999, Iter 251080: Loss = 0.013678099028766155, lr = [1.25e-05] +[2024-05-26 11:10:17,082] - INFO: Epoch 2512/9999, Iter 251120: Loss = 0.018552172929048538, lr = [1.25e-05] +[2024-05-26 11:10:44,311] - INFO: Epoch 2512/9999, Iter 251160: Loss = 0.009058882482349873, lr = [1.25e-05] +[2024-05-26 11:11:12,861] - INFO: Epoch 2513/9999, Iter 251200: Loss = 0.010522512719035149, lr = [1.25e-05] +[2024-05-26 11:11:40,229] - INFO: Epoch 2513/9999, Iter 251240: Loss = 0.012330899946391582, lr = [1.25e-05] +[2024-05-26 11:12:07,393] - INFO: Epoch 2513/9999, Iter 251280: Loss = 0.013212773948907852, lr = [1.25e-05] +[2024-05-26 11:12:36,222] - INFO: Epoch 2514/9999, Iter 251320: Loss = 0.010504715144634247, lr = [1.25e-05] +[2024-05-26 11:13:03,449] - INFO: Epoch 2514/9999, Iter 251360: Loss = 0.019924839958548546, lr = [1.25e-05] +[2024-05-26 11:13:31,964] - INFO: Epoch 2515/9999, Iter 251400: Loss = 0.015516960993409157, lr = [1.25e-05] +[2024-05-26 11:13:59,222] - INFO: Epoch 2515/9999, Iter 251440: Loss = 0.005196594167500734, lr = [1.25e-05] +[2024-05-26 11:14:26,367] - INFO: Epoch 2515/9999, Iter 251480: Loss = 0.009828530251979828, lr = [1.25e-05] +[2024-05-26 11:14:39,679] - INFO: Evaluate at epoch 2515! +[2024-05-26 11:14:44,154] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9617 (2510) +[2024-05-26 11:14:44,154] - INFO: Eval PSNR (current): 38.225 (2515) SSIM (current): 0.9616 (2515) +[2024-05-26 11:14:44,155] - INFO: Evaluation over. +[2024-05-26 11:15:04,731] - INFO: Epoch 2516/9999, Iter 251520: Loss = 0.01812116615474224, lr = [1.25e-05] +[2024-05-26 11:15:31,972] - INFO: Epoch 2516/9999, Iter 251560: Loss = 0.019927192479372025, lr = [1.25e-05] +[2024-05-26 11:16:00,704] - INFO: Epoch 2517/9999, Iter 251600: Loss = 0.0078993309289217, lr = [1.25e-05] +[2024-05-26 11:16:28,053] - INFO: Epoch 2517/9999, Iter 251640: Loss = 0.009918880648911, lr = [1.25e-05] +[2024-05-26 11:16:55,262] - INFO: Epoch 2517/9999, Iter 251680: Loss = 0.007607290055602789, lr = [1.25e-05] +[2024-05-26 11:17:23,996] - INFO: Epoch 2518/9999, Iter 251720: Loss = 0.010904764756560326, lr = [1.25e-05] +[2024-05-26 11:17:51,190] - INFO: Epoch 2518/9999, Iter 251760: Loss = 0.010090958327054977, lr = [1.25e-05] +[2024-05-26 11:18:19,714] - INFO: Epoch 2519/9999, Iter 251800: Loss = 0.009840949438512325, lr = [1.25e-05] +[2024-05-26 11:18:47,005] - INFO: Epoch 2519/9999, Iter 251840: Loss = 0.011964487843215466, lr = [1.25e-05] +[2024-05-26 11:19:14,247] - INFO: Epoch 2519/9999, Iter 251880: Loss = 0.0054681249894201756, lr = [1.25e-05] +[2024-05-26 11:19:42,864] - INFO: Epoch 2520/9999, Iter 251920: Loss = 0.009159117937088013, lr = [1.25e-05] +[2024-05-26 11:20:10,058] - INFO: Epoch 2520/9999, Iter 251960: Loss = 0.010714595206081867, lr = [1.25e-05] +[2024-05-26 11:20:36,976] - INFO: Evaluate at epoch 2520! +[2024-05-26 11:20:46,574] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9617 (2520) +[2024-05-26 11:20:46,574] - INFO: Eval PSNR (current): 38.230 (2520) SSIM (current): 0.9617 (2520) +[2024-05-26 11:20:46,575] - INFO: Evaluation over. +[2024-05-26 11:20:53,397] - INFO: Epoch 2521/9999, Iter 252000: Loss = 0.010398264043033123, lr = [1.25e-05] +[2024-05-26 11:21:20,719] - INFO: Epoch 2521/9999, Iter 252040: Loss = 0.011956928297877312, lr = [1.25e-05] +[2024-05-26 11:21:47,927] - INFO: Epoch 2521/9999, Iter 252080: Loss = 0.013471275568008423, lr = [1.25e-05] +[2024-05-26 11:22:16,701] - INFO: Epoch 2522/9999, Iter 252120: Loss = 0.01464191172271967, lr = [1.25e-05] +[2024-05-26 11:22:43,975] - INFO: Epoch 2522/9999, Iter 252160: Loss = 0.009218322113156319, lr = [1.25e-05] +[2024-05-26 11:23:12,642] - INFO: Epoch 2523/9999, Iter 252200: Loss = 0.009500904940068722, lr = [1.25e-05] +[2024-05-26 11:23:39,927] - INFO: Epoch 2523/9999, Iter 252240: Loss = 0.008228110149502754, lr = [1.25e-05] +[2024-05-26 11:24:07,087] - INFO: Epoch 2523/9999, Iter 252280: Loss = 0.011216910555958748, lr = [1.25e-05] +[2024-05-26 11:24:35,788] - INFO: Epoch 2524/9999, Iter 252320: Loss = 0.025972040370106697, lr = [1.25e-05] +[2024-05-26 11:25:03,042] - INFO: Epoch 2524/9999, Iter 252360: Loss = 0.004967628512531519, lr = [1.25e-05] +[2024-05-26 11:25:31,684] - INFO: Epoch 2525/9999, Iter 252400: Loss = 0.009119714610278606, lr = [1.25e-05] +[2024-05-26 11:25:59,003] - INFO: Epoch 2525/9999, Iter 252440: Loss = 0.015571655705571175, lr = [1.25e-05] +[2024-05-26 11:26:26,224] - INFO: Epoch 2525/9999, Iter 252480: Loss = 0.011045747436583042, lr = [1.25e-05] +[2024-05-26 11:26:39,555] - INFO: Evaluate at epoch 2525! +[2024-05-26 11:26:54,523] - INFO: Eval PSNR (max): 38.235 (2525) SSIM (max): 0.9617 (2525) +[2024-05-26 11:26:54,524] - INFO: Eval PSNR (current): 38.235 (2525) SSIM (current): 0.9617 (2525) +[2024-05-26 11:26:54,524] - INFO: Evaluation over. +[2024-05-26 11:27:14,913] - INFO: Epoch 2526/9999, Iter 252520: Loss = 0.0134661253541708, lr = [1.25e-05] +[2024-05-26 11:27:42,118] - INFO: Epoch 2526/9999, Iter 252560: Loss = 0.009984343312680721, lr = [1.25e-05] +[2024-05-26 11:28:10,725] - INFO: Epoch 2527/9999, Iter 252600: Loss = 0.009862542152404785, lr = [1.25e-05] +[2024-05-26 11:28:38,105] - INFO: Epoch 2527/9999, Iter 252640: Loss = 0.008151967078447342, lr = [1.25e-05] +[2024-05-26 11:29:05,268] - INFO: Epoch 2527/9999, Iter 252680: Loss = 0.006913124583661556, lr = [1.25e-05] +[2024-05-26 11:29:34,187] - INFO: Epoch 2528/9999, Iter 252720: Loss = 0.006872250698506832, lr = [1.25e-05] +[2024-05-26 11:30:01,357] - INFO: Epoch 2528/9999, Iter 252760: Loss = 0.0158042274415493, lr = [1.25e-05] +[2024-05-26 11:30:30,068] - INFO: Epoch 2529/9999, Iter 252800: Loss = 0.013691084459424019, lr = [1.25e-05] +[2024-05-26 11:30:57,344] - INFO: Epoch 2529/9999, Iter 252840: Loss = 0.006235175300389528, lr = [1.25e-05] +[2024-05-26 11:31:24,520] - INFO: Epoch 2529/9999, Iter 252880: Loss = 0.01280840765684843, lr = [1.25e-05] +[2024-05-26 11:31:52,993] - INFO: Epoch 2530/9999, Iter 252920: Loss = 0.018828829750418663, lr = [1.25e-05] +[2024-05-26 11:32:20,274] - INFO: Epoch 2530/9999, Iter 252960: Loss = 0.015265675261616707, lr = [1.25e-05] +[2024-05-26 11:32:47,280] - INFO: Evaluate at epoch 2530! +[2024-05-26 11:32:51,822] - INFO: Eval PSNR (max): 38.235 (2525) SSIM (max): 0.9617 (2525) +[2024-05-26 11:32:51,822] - INFO: Eval PSNR (current): 38.222 (2530) SSIM (current): 0.9617 (2530) +[2024-05-26 11:32:51,822] - INFO: Evaluation over. +[2024-05-26 11:32:58,565] - INFO: Epoch 2531/9999, Iter 253000: Loss = 0.011941540986299515, lr = [1.25e-05] +[2024-05-26 11:33:25,957] - INFO: Epoch 2531/9999, Iter 253040: Loss = 0.016314329579472542, lr = [1.25e-05] +[2024-05-26 11:33:53,174] - INFO: Epoch 2531/9999, Iter 253080: Loss = 0.01780320145189762, lr = [1.25e-05] +[2024-05-26 11:34:21,615] - INFO: Epoch 2532/9999, Iter 253120: Loss = 0.011754142120480537, lr = [1.25e-05] +[2024-05-26 11:34:48,811] - INFO: Epoch 2532/9999, Iter 253160: Loss = 0.00673556886613369, lr = [1.25e-05] +[2024-05-26 11:35:17,463] - INFO: Epoch 2533/9999, Iter 253200: Loss = 0.011982990428805351, lr = [1.25e-05] +[2024-05-26 11:35:44,771] - INFO: Epoch 2533/9999, Iter 253240: Loss = 0.013811665587127209, lr = [1.25e-05] +[2024-05-26 11:36:11,896] - INFO: Epoch 2533/9999, Iter 253280: Loss = 0.009809136390686035, lr = [1.25e-05] +[2024-05-26 11:36:40,570] - INFO: Epoch 2534/9999, Iter 253320: Loss = 0.016682136803865433, lr = [1.25e-05] +[2024-05-26 11:37:07,771] - INFO: Epoch 2534/9999, Iter 253360: Loss = 0.017629332840442657, lr = [1.25e-05] +[2024-05-26 11:37:36,396] - INFO: Epoch 2535/9999, Iter 253400: Loss = 0.0072650001384317875, lr = [1.25e-05] +[2024-05-26 11:38:03,702] - INFO: Epoch 2535/9999, Iter 253440: Loss = 0.010096991434693336, lr = [1.25e-05] +[2024-05-26 11:38:30,936] - INFO: Epoch 2535/9999, Iter 253480: Loss = 0.016116131097078323, lr = [1.25e-05] +[2024-05-26 11:38:44,267] - INFO: Evaluate at epoch 2535! +[2024-05-26 11:38:48,961] - INFO: Eval PSNR (max): 38.235 (2525) SSIM (max): 0.9617 (2525) +[2024-05-26 11:38:48,961] - INFO: Eval PSNR (current): 38.212 (2535) SSIM (current): 0.9616 (2535) +[2024-05-26 11:38:48,961] - INFO: Evaluation over. +[2024-05-26 11:39:09,260] - INFO: Epoch 2536/9999, Iter 253520: Loss = 0.008372519165277481, lr = [1.25e-05] +[2024-05-26 11:39:36,461] - INFO: Epoch 2536/9999, Iter 253560: Loss = 0.010481862351298332, lr = [1.25e-05] +[2024-05-26 11:40:05,074] - INFO: Epoch 2537/9999, Iter 253600: Loss = 0.007974772714078426, lr = [1.25e-05] +[2024-05-26 11:40:32,386] - INFO: Epoch 2537/9999, Iter 253640: Loss = 0.01309943851083517, lr = [1.25e-05] +[2024-05-26 11:40:59,542] - INFO: Epoch 2537/9999, Iter 253680: Loss = 0.010830814950168133, lr = [1.25e-05] +[2024-05-26 11:41:28,228] - INFO: Epoch 2538/9999, Iter 253720: Loss = 0.010774325579404831, lr = [1.25e-05] +[2024-05-26 11:41:55,416] - INFO: Epoch 2538/9999, Iter 253760: Loss = 0.009347008541226387, lr = [1.25e-05] +[2024-05-26 11:42:24,388] - INFO: Epoch 2539/9999, Iter 253800: Loss = 0.010134758427739143, lr = [1.25e-05] +[2024-05-26 11:42:51,686] - INFO: Epoch 2539/9999, Iter 253840: Loss = 0.008456747978925705, lr = [1.25e-05] +[2024-05-26 11:43:18,884] - INFO: Epoch 2539/9999, Iter 253880: Loss = 0.015697261318564415, lr = [1.25e-05] +[2024-05-26 11:43:47,566] - INFO: Epoch 2540/9999, Iter 253920: Loss = 0.01220036018639803, lr = [1.25e-05] +[2024-05-26 11:44:14,842] - INFO: Epoch 2540/9999, Iter 253960: Loss = 0.013800625689327717, lr = [1.25e-05] +[2024-05-26 11:44:41,755] - INFO: Evaluate at epoch 2540! +[2024-05-26 11:44:51,838] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2525) +[2024-05-26 11:44:51,839] - INFO: Eval PSNR (current): 38.236 (2540) SSIM (current): 0.9617 (2540) +[2024-05-26 11:44:51,839] - INFO: Evaluation over. +[2024-05-26 11:44:58,680] - INFO: Epoch 2541/9999, Iter 254000: Loss = 0.010859326459467411, lr = [1.25e-05] +[2024-05-26 11:45:26,007] - INFO: Epoch 2541/9999, Iter 254040: Loss = 0.013668941333889961, lr = [1.25e-05] +[2024-05-26 11:45:53,262] - INFO: Epoch 2541/9999, Iter 254080: Loss = 0.009595734067261219, lr = [1.25e-05] +[2024-05-26 11:46:21,832] - INFO: Epoch 2542/9999, Iter 254120: Loss = 0.008824975229799747, lr = [1.25e-05] +[2024-05-26 11:46:49,036] - INFO: Epoch 2542/9999, Iter 254160: Loss = 0.016414353623986244, lr = [1.25e-05] +[2024-05-26 11:47:17,615] - INFO: Epoch 2543/9999, Iter 254200: Loss = 0.007467375136911869, lr = [1.25e-05] +[2024-05-26 11:47:44,928] - INFO: Epoch 2543/9999, Iter 254240: Loss = 0.006715010851621628, lr = [1.25e-05] +[2024-05-26 11:48:12,104] - INFO: Epoch 2543/9999, Iter 254280: Loss = 0.011480587534606457, lr = [1.25e-05] +[2024-05-26 11:48:40,837] - INFO: Epoch 2544/9999, Iter 254320: Loss = 0.01718192920088768, lr = [1.25e-05] +[2024-05-26 11:49:08,059] - INFO: Epoch 2544/9999, Iter 254360: Loss = 0.006853211205452681, lr = [1.25e-05] +[2024-05-26 11:49:36,688] - INFO: Epoch 2545/9999, Iter 254400: Loss = 0.014489940367639065, lr = [1.25e-05] +[2024-05-26 11:50:04,014] - INFO: Epoch 2545/9999, Iter 254440: Loss = 0.011642931029200554, lr = [1.25e-05] +[2024-05-26 11:50:31,219] - INFO: Epoch 2545/9999, Iter 254480: Loss = 0.006980496924370527, lr = [1.25e-05] +[2024-05-26 11:50:44,532] - INFO: Evaluate at epoch 2545! +[2024-05-26 11:50:49,169] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2525) +[2024-05-26 11:50:49,170] - INFO: Eval PSNR (current): 38.219 (2545) SSIM (current): 0.9617 (2545) +[2024-05-26 11:50:49,170] - INFO: Evaluation over. +[2024-05-26 11:51:09,884] - INFO: Epoch 2546/9999, Iter 254520: Loss = 0.008780582807958126, lr = [1.25e-05] +[2024-05-26 11:51:37,053] - INFO: Epoch 2546/9999, Iter 254560: Loss = 0.009191874414682388, lr = [1.25e-05] +[2024-05-26 11:52:05,759] - INFO: Epoch 2547/9999, Iter 254600: Loss = 0.01188479084521532, lr = [1.25e-05] +[2024-05-26 11:52:33,134] - INFO: Epoch 2547/9999, Iter 254640: Loss = 0.009433471597731113, lr = [1.25e-05] +[2024-05-26 11:53:00,338] - INFO: Epoch 2547/9999, Iter 254680: Loss = 0.011565676890313625, lr = [1.25e-05] +[2024-05-26 11:53:29,055] - INFO: Epoch 2548/9999, Iter 254720: Loss = 0.006750935222953558, lr = [1.25e-05] +[2024-05-26 11:53:56,206] - INFO: Epoch 2548/9999, Iter 254760: Loss = 0.01409093290567398, lr = [1.25e-05] +[2024-05-26 11:54:25,032] - INFO: Epoch 2549/9999, Iter 254800: Loss = 0.014758510515093803, lr = [1.25e-05] +[2024-05-26 11:54:52,358] - INFO: Epoch 2549/9999, Iter 254840: Loss = 0.008829360827803612, lr = [1.25e-05] +[2024-05-26 11:55:19,560] - INFO: Epoch 2549/9999, Iter 254880: Loss = 0.016049256548285484, lr = [1.25e-05] +[2024-05-26 11:55:48,232] - INFO: Epoch 2550/9999, Iter 254920: Loss = 0.014549566432833672, lr = [1.25e-05] +[2024-05-26 11:56:15,435] - INFO: Epoch 2550/9999, Iter 254960: Loss = 0.01028956938534975, lr = [1.25e-05] +[2024-05-26 11:56:42,438] - INFO: Evaluate at epoch 2550! +[2024-05-26 11:56:52,720] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 11:56:52,721] - INFO: Eval PSNR (current): 38.219 (2550) SSIM (current): 0.9617 (2550) +[2024-05-26 11:56:52,721] - INFO: Evaluation over. +[2024-05-26 11:56:59,601] - INFO: Epoch 2551/9999, Iter 255000: Loss = 0.014934301376342773, lr = [1.25e-05] +[2024-05-26 11:57:26,874] - INFO: Epoch 2551/9999, Iter 255040: Loss = 0.009122518822550774, lr = [1.25e-05] +[2024-05-26 11:57:54,074] - INFO: Epoch 2551/9999, Iter 255080: Loss = 0.011312478221952915, lr = [1.25e-05] +[2024-05-26 11:58:22,860] - INFO: Epoch 2552/9999, Iter 255120: Loss = 0.019921980798244476, lr = [1.25e-05] +[2024-05-26 11:58:50,047] - INFO: Epoch 2552/9999, Iter 255160: Loss = 0.012195219285786152, lr = [1.25e-05] +[2024-05-26 11:59:18,648] - INFO: Epoch 2553/9999, Iter 255200: Loss = 0.007356671150773764, lr = [1.25e-05] +[2024-05-26 11:59:45,968] - INFO: Epoch 2553/9999, Iter 255240: Loss = 0.029834318906068802, lr = [1.25e-05] +[2024-05-26 12:00:13,169] - INFO: Epoch 2553/9999, Iter 255280: Loss = 0.02466977946460247, lr = [1.25e-05] +[2024-05-26 12:00:41,815] - INFO: Epoch 2554/9999, Iter 255320: Loss = 0.01667255163192749, lr = [1.25e-05] +[2024-05-26 12:01:09,016] - INFO: Epoch 2554/9999, Iter 255360: Loss = 0.019346309825778008, lr = [1.25e-05] +[2024-05-26 12:01:37,775] - INFO: Epoch 2555/9999, Iter 255400: Loss = 0.015888795256614685, lr = [1.25e-05] +[2024-05-26 12:02:05,079] - INFO: Epoch 2555/9999, Iter 255440: Loss = 0.013965587131679058, lr = [1.25e-05] +[2024-05-26 12:02:32,327] - INFO: Epoch 2555/9999, Iter 255480: Loss = 0.022729942575097084, lr = [1.25e-05] +[2024-05-26 12:02:45,625] - INFO: Evaluate at epoch 2555! +[2024-05-26 12:02:50,101] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:02:50,101] - INFO: Eval PSNR (current): 38.213 (2555) SSIM (current): 0.9617 (2555) +[2024-05-26 12:02:50,101] - INFO: Evaluation over. +[2024-05-26 12:03:10,706] - INFO: Epoch 2556/9999, Iter 255520: Loss = 0.005339631345123053, lr = [1.25e-05] +[2024-05-26 12:03:37,918] - INFO: Epoch 2556/9999, Iter 255560: Loss = 0.0130767822265625, lr = [1.25e-05] +[2024-05-26 12:04:06,552] - INFO: Epoch 2557/9999, Iter 255600: Loss = 0.0064415400847792625, lr = [1.25e-05] +[2024-05-26 12:04:33,924] - INFO: Epoch 2557/9999, Iter 255640: Loss = 0.012847699224948883, lr = [1.25e-05] +[2024-05-26 12:05:01,137] - INFO: Epoch 2557/9999, Iter 255680: Loss = 0.009370613843202591, lr = [1.25e-05] +[2024-05-26 12:05:29,725] - INFO: Epoch 2558/9999, Iter 255720: Loss = 0.017573319375514984, lr = [1.25e-05] +[2024-05-26 12:05:56,933] - INFO: Epoch 2558/9999, Iter 255760: Loss = 0.016422785818576813, lr = [1.25e-05] +[2024-05-26 12:06:25,610] - INFO: Epoch 2559/9999, Iter 255800: Loss = 0.011895529925823212, lr = [1.25e-05] +[2024-05-26 12:06:52,829] - INFO: Epoch 2559/9999, Iter 255840: Loss = 0.016828441992402077, lr = [1.25e-05] +[2024-05-26 12:07:20,090] - INFO: Epoch 2559/9999, Iter 255880: Loss = 0.009028450585901737, lr = [1.25e-05] +[2024-05-26 12:07:48,743] - INFO: Epoch 2560/9999, Iter 255920: Loss = 0.01640467904508114, lr = [1.25e-05] +[2024-05-26 12:08:16,074] - INFO: Epoch 2560/9999, Iter 255960: Loss = 0.010082148015499115, lr = [1.25e-05] +[2024-05-26 12:08:42,987] - INFO: Evaluate at epoch 2560! +[2024-05-26 12:08:47,590] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:08:47,591] - INFO: Eval PSNR (current): 38.220 (2560) SSIM (current): 0.9616 (2560) +[2024-05-26 12:08:47,591] - INFO: Evaluation over. +[2024-05-26 12:08:54,434] - INFO: Epoch 2561/9999, Iter 256000: Loss = 0.015107796527445316, lr = [1.25e-05] +[2024-05-26 12:09:21,718] - INFO: Epoch 2561/9999, Iter 256040: Loss = 0.011223874054849148, lr = [1.25e-05] +[2024-05-26 12:09:48,948] - INFO: Epoch 2561/9999, Iter 256080: Loss = 0.012634847313165665, lr = [1.25e-05] +[2024-05-26 12:10:17,610] - INFO: Epoch 2562/9999, Iter 256120: Loss = 0.016182828694581985, lr = [1.25e-05] +[2024-05-26 12:10:44,829] - INFO: Epoch 2562/9999, Iter 256160: Loss = 0.01534632034599781, lr = [1.25e-05] +[2024-05-26 12:11:13,614] - INFO: Epoch 2563/9999, Iter 256200: Loss = 0.019569428637623787, lr = [1.25e-05] +[2024-05-26 12:11:41,000] - INFO: Epoch 2563/9999, Iter 256240: Loss = 0.010768251493573189, lr = [1.25e-05] +[2024-05-26 12:12:10,296] - INFO: Epoch 2563/9999, Iter 256280: Loss = 0.019038425758481026, lr = [1.25e-05] +[2024-05-26 12:12:44,030] - INFO: Epoch 2564/9999, Iter 256320: Loss = 0.009664916433393955, lr = [1.25e-05] +[2024-05-26 12:13:11,314] - INFO: Epoch 2564/9999, Iter 256360: Loss = 0.01202963013201952, lr = [1.25e-05] +[2024-05-26 12:13:43,332] - INFO: Epoch 2565/9999, Iter 256400: Loss = 0.007524037733674049, lr = [1.25e-05] +[2024-05-26 12:14:10,665] - INFO: Epoch 2565/9999, Iter 256440: Loss = 0.012351442128419876, lr = [1.25e-05] +[2024-05-26 12:14:39,702] - INFO: Epoch 2565/9999, Iter 256480: Loss = 0.013116017915308475, lr = [1.25e-05] +[2024-05-26 12:14:53,391] - INFO: Evaluate at epoch 2565! +[2024-05-26 12:14:58,076] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:14:58,077] - INFO: Eval PSNR (current): 38.217 (2565) SSIM (current): 0.9617 (2565) +[2024-05-26 12:14:58,077] - INFO: Evaluation over. +[2024-05-26 12:15:22,551] - INFO: Epoch 2566/9999, Iter 256520: Loss = 0.011445687152445316, lr = [1.25e-05] +[2024-05-26 12:15:49,896] - INFO: Epoch 2566/9999, Iter 256560: Loss = 0.012370429001748562, lr = [1.25e-05] +[2024-05-26 12:16:20,620] - INFO: Epoch 2567/9999, Iter 256600: Loss = 0.010295713320374489, lr = [1.25e-05] +[2024-05-26 12:16:47,855] - INFO: Epoch 2567/9999, Iter 256640: Loss = 0.01418391801416874, lr = [1.25e-05] +[2024-05-26 12:17:15,227] - INFO: Epoch 2567/9999, Iter 256680: Loss = 0.017274780198931694, lr = [1.25e-05] +[2024-05-26 12:17:43,723] - INFO: Epoch 2568/9999, Iter 256720: Loss = 0.014700112864375114, lr = [1.25e-05] +[2024-05-26 12:18:11,665] - INFO: Epoch 2568/9999, Iter 256760: Loss = 0.010055025108158588, lr = [1.25e-05] +[2024-05-26 12:18:40,412] - INFO: Epoch 2569/9999, Iter 256800: Loss = 0.006538291461765766, lr = [1.25e-05] +[2024-05-26 12:19:07,686] - INFO: Epoch 2569/9999, Iter 256840: Loss = 0.008068554103374481, lr = [1.25e-05] +[2024-05-26 12:19:34,905] - INFO: Epoch 2569/9999, Iter 256880: Loss = 0.01012768130749464, lr = [1.25e-05] +[2024-05-26 12:20:03,563] - INFO: Epoch 2570/9999, Iter 256920: Loss = 0.004143148194998503, lr = [1.25e-05] +[2024-05-26 12:20:30,731] - INFO: Epoch 2570/9999, Iter 256960: Loss = 0.008298659697175026, lr = [1.25e-05] +[2024-05-26 12:20:57,698] - INFO: Evaluate at epoch 2570! +[2024-05-26 12:21:02,401] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:21:02,401] - INFO: Eval PSNR (current): 38.197 (2570) SSIM (current): 0.9616 (2570) +[2024-05-26 12:21:02,401] - INFO: Evaluation over. +[2024-05-26 12:21:09,223] - INFO: Epoch 2571/9999, Iter 257000: Loss = 0.014236337505280972, lr = [1.25e-05] +[2024-05-26 12:21:36,457] - INFO: Epoch 2571/9999, Iter 257040: Loss = 0.012165273539721966, lr = [1.25e-05] +[2024-05-26 12:22:03,729] - INFO: Epoch 2571/9999, Iter 257080: Loss = 0.01495358720421791, lr = [1.25e-05] +[2024-05-26 12:22:32,352] - INFO: Epoch 2572/9999, Iter 257120: Loss = 0.013183660805225372, lr = [1.25e-05] +[2024-05-26 12:22:59,547] - INFO: Epoch 2572/9999, Iter 257160: Loss = 0.014634525403380394, lr = [1.25e-05] +[2024-05-26 12:23:28,247] - INFO: Epoch 2573/9999, Iter 257200: Loss = 0.011430703103542328, lr = [1.25e-05] +[2024-05-26 12:23:55,563] - INFO: Epoch 2573/9999, Iter 257240: Loss = 0.014153922908008099, lr = [1.25e-05] +[2024-05-26 12:24:22,744] - INFO: Epoch 2573/9999, Iter 257280: Loss = 0.013426206074655056, lr = [1.25e-05] +[2024-05-26 12:24:51,370] - INFO: Epoch 2574/9999, Iter 257320: Loss = 0.01606765203177929, lr = [1.25e-05] +[2024-05-26 12:25:18,605] - INFO: Epoch 2574/9999, Iter 257360: Loss = 0.020599255338311195, lr = [1.25e-05] +[2024-05-26 12:25:47,042] - INFO: Epoch 2575/9999, Iter 257400: Loss = 0.01516947615891695, lr = [1.25e-05] +[2024-05-26 12:26:14,341] - INFO: Epoch 2575/9999, Iter 257440: Loss = 0.016067735850811005, lr = [1.25e-05] +[2024-05-26 12:26:41,584] - INFO: Epoch 2575/9999, Iter 257480: Loss = 0.011311870999634266, lr = [1.25e-05] +[2024-05-26 12:26:54,911] - INFO: Evaluate at epoch 2575! +[2024-05-26 12:26:59,528] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:26:59,529] - INFO: Eval PSNR (current): 38.203 (2575) SSIM (current): 0.9616 (2575) +[2024-05-26 12:26:59,529] - INFO: Evaluation over. +[2024-05-26 12:27:20,020] - INFO: Epoch 2576/9999, Iter 257520: Loss = 0.014478074386715889, lr = [1.25e-05] +[2024-05-26 12:27:47,319] - INFO: Epoch 2576/9999, Iter 257560: Loss = 0.008243605494499207, lr = [1.25e-05] +[2024-05-26 12:28:15,989] - INFO: Epoch 2577/9999, Iter 257600: Loss = 0.013445580378174782, lr = [1.25e-05] +[2024-05-26 12:28:43,275] - INFO: Epoch 2577/9999, Iter 257640: Loss = 0.012918566353619099, lr = [1.25e-05] +[2024-05-26 12:29:10,501] - INFO: Epoch 2577/9999, Iter 257680: Loss = 0.013147840276360512, lr = [1.25e-05] +[2024-05-26 12:29:39,038] - INFO: Epoch 2578/9999, Iter 257720: Loss = 0.018147112801671028, lr = [1.25e-05] +[2024-05-26 12:30:06,354] - INFO: Epoch 2578/9999, Iter 257760: Loss = 0.006157848984003067, lr = [1.25e-05] +[2024-05-26 12:30:35,009] - INFO: Epoch 2579/9999, Iter 257800: Loss = 0.012752399779856205, lr = [1.25e-05] +[2024-05-26 12:31:02,338] - INFO: Epoch 2579/9999, Iter 257840: Loss = 0.019613120704889297, lr = [1.25e-05] +[2024-05-26 12:31:29,657] - INFO: Epoch 2579/9999, Iter 257880: Loss = 0.009472418576478958, lr = [1.25e-05] +[2024-05-26 12:31:58,197] - INFO: Epoch 2580/9999, Iter 257920: Loss = 0.01190309226512909, lr = [1.25e-05] +[2024-05-26 12:32:25,419] - INFO: Epoch 2580/9999, Iter 257960: Loss = 0.00685386685654521, lr = [1.25e-05] +[2024-05-26 12:32:52,419] - INFO: Evaluate at epoch 2580! +[2024-05-26 12:32:57,014] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:32:57,015] - INFO: Eval PSNR (current): 38.215 (2580) SSIM (current): 0.9616 (2580) +[2024-05-26 12:32:57,015] - INFO: Evaluation over. +[2024-05-26 12:33:03,899] - INFO: Epoch 2581/9999, Iter 258000: Loss = 0.007518830243498087, lr = [1.25e-05] +[2024-05-26 12:33:31,211] - INFO: Epoch 2581/9999, Iter 258040: Loss = 0.007815645076334476, lr = [1.25e-05] +[2024-05-26 12:33:58,465] - INFO: Epoch 2581/9999, Iter 258080: Loss = 0.0083225192502141, lr = [1.25e-05] +[2024-05-26 12:34:27,191] - INFO: Epoch 2582/9999, Iter 258120: Loss = 0.006262989714741707, lr = [1.25e-05] +[2024-05-26 12:34:54,462] - INFO: Epoch 2582/9999, Iter 258160: Loss = 0.01262432336807251, lr = [1.25e-05] +[2024-05-26 12:35:22,931] - INFO: Epoch 2583/9999, Iter 258200: Loss = 0.009239853359758854, lr = [1.25e-05] +[2024-05-26 12:35:50,280] - INFO: Epoch 2583/9999, Iter 258240: Loss = 0.011137052439153194, lr = [1.25e-05] +[2024-05-26 12:36:17,469] - INFO: Epoch 2583/9999, Iter 258280: Loss = 0.011593262664973736, lr = [1.25e-05] +[2024-05-26 12:36:46,050] - INFO: Epoch 2584/9999, Iter 258320: Loss = 0.013482038863003254, lr = [1.25e-05] +[2024-05-26 12:37:13,302] - INFO: Epoch 2584/9999, Iter 258360: Loss = 0.011388740502297878, lr = [1.25e-05] +[2024-05-26 12:37:41,880] - INFO: Epoch 2585/9999, Iter 258400: Loss = 0.012987249530851841, lr = [1.25e-05] +[2024-05-26 12:38:09,194] - INFO: Epoch 2585/9999, Iter 258440: Loss = 0.011192085221409798, lr = [1.25e-05] +[2024-05-26 12:38:36,454] - INFO: Epoch 2585/9999, Iter 258480: Loss = 0.006974390707910061, lr = [1.25e-05] +[2024-05-26 12:38:49,778] - INFO: Evaluate at epoch 2585! +[2024-05-26 12:38:54,451] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:38:54,451] - INFO: Eval PSNR (current): 38.208 (2585) SSIM (current): 0.9616 (2585) +[2024-05-26 12:38:54,451] - INFO: Evaluation over. +[2024-05-26 12:39:15,008] - INFO: Epoch 2586/9999, Iter 258520: Loss = 0.013857811689376831, lr = [1.25e-05] +[2024-05-26 12:39:42,250] - INFO: Epoch 2586/9999, Iter 258560: Loss = 0.008290457539260387, lr = [1.25e-05] +[2024-05-26 12:40:11,076] - INFO: Epoch 2587/9999, Iter 258600: Loss = 0.011060639284551144, lr = [1.25e-05] +[2024-05-26 12:40:38,359] - INFO: Epoch 2587/9999, Iter 258640: Loss = 0.021927742287516594, lr = [1.25e-05] +[2024-05-26 12:41:05,605] - INFO: Epoch 2587/9999, Iter 258680: Loss = 0.007370414212346077, lr = [1.25e-05] +[2024-05-26 12:41:34,257] - INFO: Epoch 2588/9999, Iter 258720: Loss = 0.007586081512272358, lr = [1.25e-05] +[2024-05-26 12:42:01,444] - INFO: Epoch 2588/9999, Iter 258760: Loss = 0.005453350488096476, lr = [1.25e-05] +[2024-05-26 12:42:30,103] - INFO: Epoch 2589/9999, Iter 258800: Loss = 0.01128376740962267, lr = [1.25e-05] +[2024-05-26 12:42:57,467] - INFO: Epoch 2589/9999, Iter 258840: Loss = 0.021520543843507767, lr = [1.25e-05] +[2024-05-26 12:43:24,660] - INFO: Epoch 2589/9999, Iter 258880: Loss = 0.013501258566975594, lr = [1.25e-05] +[2024-05-26 12:43:53,446] - INFO: Epoch 2590/9999, Iter 258920: Loss = 0.0065544419921934605, lr = [1.25e-05] +[2024-05-26 12:44:20,676] - INFO: Epoch 2590/9999, Iter 258960: Loss = 0.015103861689567566, lr = [1.25e-05] +[2024-05-26 12:44:47,606] - INFO: Evaluate at epoch 2590! +[2024-05-26 12:44:52,223] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:44:52,223] - INFO: Eval PSNR (current): 38.212 (2590) SSIM (current): 0.9617 (2590) +[2024-05-26 12:44:52,223] - INFO: Evaluation over. +[2024-05-26 12:44:59,134] - INFO: Epoch 2591/9999, Iter 259000: Loss = 0.01039181463420391, lr = [1.25e-05] +[2024-05-26 12:45:26,420] - INFO: Epoch 2591/9999, Iter 259040: Loss = 0.008864026516675949, lr = [1.25e-05] +[2024-05-26 12:45:53,573] - INFO: Epoch 2591/9999, Iter 259080: Loss = 0.011053134687244892, lr = [1.25e-05] +[2024-05-26 12:46:22,131] - INFO: Epoch 2592/9999, Iter 259120: Loss = 0.010940156877040863, lr = [1.25e-05] +[2024-05-26 12:46:49,301] - INFO: Epoch 2592/9999, Iter 259160: Loss = 0.010520339012145996, lr = [1.25e-05] +[2024-05-26 12:47:17,960] - INFO: Epoch 2593/9999, Iter 259200: Loss = 0.00840090587735176, lr = [1.25e-05] +[2024-05-26 12:47:45,326] - INFO: Epoch 2593/9999, Iter 259240: Loss = 0.008125257678329945, lr = [1.25e-05] +[2024-05-26 12:48:12,500] - INFO: Epoch 2593/9999, Iter 259280: Loss = 0.01581486314535141, lr = [1.25e-05] +[2024-05-26 12:48:41,207] - INFO: Epoch 2594/9999, Iter 259320: Loss = 0.01173056848347187, lr = [1.25e-05] +[2024-05-26 12:49:08,406] - INFO: Epoch 2594/9999, Iter 259360: Loss = 0.008998213335871696, lr = [1.25e-05] +[2024-05-26 12:49:37,120] - INFO: Epoch 2595/9999, Iter 259400: Loss = 0.02004811353981495, lr = [1.25e-05] +[2024-05-26 12:50:04,378] - INFO: Epoch 2595/9999, Iter 259440: Loss = 0.01381018478423357, lr = [1.25e-05] +[2024-05-26 12:50:31,592] - INFO: Epoch 2595/9999, Iter 259480: Loss = 0.014984122477471828, lr = [1.25e-05] +[2024-05-26 12:50:44,876] - INFO: Evaluate at epoch 2595! +[2024-05-26 12:50:49,492] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:50:49,492] - INFO: Eval PSNR (current): 38.212 (2595) SSIM (current): 0.9617 (2595) +[2024-05-26 12:50:49,493] - INFO: Evaluation over. +[2024-05-26 12:51:09,982] - INFO: Epoch 2596/9999, Iter 259520: Loss = 0.01858755759894848, lr = [1.25e-05] +[2024-05-26 12:51:37,162] - INFO: Epoch 2596/9999, Iter 259560: Loss = 0.009728074073791504, lr = [1.25e-05] +[2024-05-26 12:52:05,831] - INFO: Epoch 2597/9999, Iter 259600: Loss = 0.01606837660074234, lr = [1.25e-05] +[2024-05-26 12:52:33,036] - INFO: Epoch 2597/9999, Iter 259640: Loss = 0.010415120981633663, lr = [1.25e-05] +[2024-05-26 12:53:00,268] - INFO: Epoch 2597/9999, Iter 259680: Loss = 0.017619933933019638, lr = [1.25e-05] +[2024-05-26 12:53:28,970] - INFO: Epoch 2598/9999, Iter 259720: Loss = 0.007947025820612907, lr = [1.25e-05] +[2024-05-26 12:53:56,147] - INFO: Epoch 2598/9999, Iter 259760: Loss = 0.016309240832924843, lr = [1.25e-05] +[2024-05-26 12:54:24,513] - INFO: Epoch 2599/9999, Iter 259800: Loss = 0.018965501338243484, lr = [1.25e-05] +[2024-05-26 12:54:51,807] - INFO: Epoch 2599/9999, Iter 259840: Loss = 0.009176503866910934, lr = [1.25e-05] +[2024-05-26 12:55:19,008] - INFO: Epoch 2599/9999, Iter 259880: Loss = 0.014059812761843204, lr = [1.25e-05] +[2024-05-26 12:55:47,546] - INFO: Epoch 2600/9999, Iter 259920: Loss = 0.011742194183170795, lr = [1.25e-05] +[2024-05-26 12:56:14,822] - INFO: Epoch 2600/9999, Iter 259960: Loss = 0.008942864835262299, lr = [1.25e-05] +[2024-05-26 12:56:41,678] - INFO: Evaluate at epoch 2600! +[2024-05-26 12:56:51,521] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 12:56:51,521] - INFO: Eval PSNR (current): 38.222 (2600) SSIM (current): 0.9617 (2600) +[2024-05-26 12:56:51,521] - INFO: Evaluation over. +[2024-05-26 12:56:58,411] - INFO: Epoch 2601/9999, Iter 260000: Loss = 0.01123989187180996, lr = [1.25e-05] +[2024-05-26 12:57:25,717] - INFO: Epoch 2601/9999, Iter 260040: Loss = 0.005905776284635067, lr = [1.25e-05] +[2024-05-26 12:57:52,917] - INFO: Epoch 2601/9999, Iter 260080: Loss = 0.011784967966377735, lr = [1.25e-05] +[2024-05-26 12:58:21,592] - INFO: Epoch 2602/9999, Iter 260120: Loss = 0.006685044150799513, lr = [1.25e-05] +[2024-05-26 12:58:48,813] - INFO: Epoch 2602/9999, Iter 260160: Loss = 0.010458908975124359, lr = [1.25e-05] +[2024-05-26 12:59:17,382] - INFO: Epoch 2603/9999, Iter 260200: Loss = 0.011058444157242775, lr = [1.25e-05] +[2024-05-26 12:59:44,697] - INFO: Epoch 2603/9999, Iter 260240: Loss = 0.01614055410027504, lr = [1.25e-05] +[2024-05-26 13:00:11,942] - INFO: Epoch 2603/9999, Iter 260280: Loss = 0.015050319023430347, lr = [1.25e-05] +[2024-05-26 13:00:40,598] - INFO: Epoch 2604/9999, Iter 260320: Loss = 0.01568947546184063, lr = [1.25e-05] +[2024-05-26 13:01:07,785] - INFO: Epoch 2604/9999, Iter 260360: Loss = 0.009719787165522575, lr = [1.25e-05] +[2024-05-26 13:01:36,204] - INFO: Epoch 2605/9999, Iter 260400: Loss = 0.024300910532474518, lr = [1.25e-05] +[2024-05-26 13:02:03,484] - INFO: Epoch 2605/9999, Iter 260440: Loss = 0.010380057618021965, lr = [1.25e-05] +[2024-05-26 13:02:30,793] - INFO: Epoch 2605/9999, Iter 260480: Loss = 0.009777729399502277, lr = [1.25e-05] +[2024-05-26 13:02:44,078] - INFO: Evaluate at epoch 2605! +[2024-05-26 13:02:48,714] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:02:48,714] - INFO: Eval PSNR (current): 38.234 (2605) SSIM (current): 0.9617 (2605) +[2024-05-26 13:02:48,714] - INFO: Evaluation over. +[2024-05-26 13:03:09,192] - INFO: Epoch 2606/9999, Iter 260520: Loss = 0.013582115061581135, lr = [1.25e-05] +[2024-05-26 13:03:36,340] - INFO: Epoch 2606/9999, Iter 260560: Loss = 0.012444091029465199, lr = [1.25e-05] +[2024-05-26 13:04:04,880] - INFO: Epoch 2607/9999, Iter 260600: Loss = 0.014374958351254463, lr = [1.25e-05] +[2024-05-26 13:04:32,199] - INFO: Epoch 2607/9999, Iter 260640: Loss = 0.011816158890724182, lr = [1.25e-05] +[2024-05-26 13:04:59,447] - INFO: Epoch 2607/9999, Iter 260680: Loss = 0.012078766711056232, lr = [1.25e-05] +[2024-05-26 13:05:28,249] - INFO: Epoch 2608/9999, Iter 260720: Loss = 0.008298774249851704, lr = [1.25e-05] +[2024-05-26 13:05:55,443] - INFO: Epoch 2608/9999, Iter 260760: Loss = 0.01248962339013815, lr = [1.25e-05] +[2024-05-26 13:06:24,264] - INFO: Epoch 2609/9999, Iter 260800: Loss = 0.018113048747181892, lr = [1.25e-05] +[2024-05-26 13:06:51,613] - INFO: Epoch 2609/9999, Iter 260840: Loss = 0.010192500427365303, lr = [1.25e-05] +[2024-05-26 13:07:18,787] - INFO: Epoch 2609/9999, Iter 260880: Loss = 0.00748866144567728, lr = [1.25e-05] +[2024-05-26 13:07:47,462] - INFO: Epoch 2610/9999, Iter 260920: Loss = 0.011096371337771416, lr = [1.25e-05] +[2024-05-26 13:08:14,687] - INFO: Epoch 2610/9999, Iter 260960: Loss = 0.010102258995175362, lr = [1.25e-05] +[2024-05-26 13:08:41,834] - INFO: Evaluate at epoch 2610! +[2024-05-26 13:08:46,537] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:08:46,538] - INFO: Eval PSNR (current): 38.232 (2610) SSIM (current): 0.9616 (2610) +[2024-05-26 13:08:46,538] - INFO: Evaluation over. +[2024-05-26 13:08:56,940] - INFO: Epoch 2611/9999, Iter 261000: Loss = 0.010946176946163177, lr = [1.25e-05] +[2024-05-26 13:09:24,199] - INFO: Epoch 2611/9999, Iter 261040: Loss = 0.005696178413927555, lr = [1.25e-05] +[2024-05-26 13:09:51,572] - INFO: Epoch 2611/9999, Iter 261080: Loss = 0.006127928849309683, lr = [1.25e-05] +[2024-05-26 13:10:20,066] - INFO: Epoch 2612/9999, Iter 261120: Loss = 0.01203134749084711, lr = [1.25e-05] +[2024-05-26 13:10:47,179] - INFO: Epoch 2612/9999, Iter 261160: Loss = 0.010339593514800072, lr = [1.25e-05] +[2024-05-26 13:11:15,840] - INFO: Epoch 2613/9999, Iter 261200: Loss = 0.008237817324697971, lr = [1.25e-05] +[2024-05-26 13:11:43,207] - INFO: Epoch 2613/9999, Iter 261240: Loss = 0.008813838474452496, lr = [1.25e-05] +[2024-05-26 13:12:10,370] - INFO: Epoch 2613/9999, Iter 261280: Loss = 0.010199938900768757, lr = [1.25e-05] +[2024-05-26 13:12:39,277] - INFO: Epoch 2614/9999, Iter 261320: Loss = 0.01994556002318859, lr = [1.25e-05] +[2024-05-26 13:13:06,478] - INFO: Epoch 2614/9999, Iter 261360: Loss = 0.016350284218788147, lr = [1.25e-05] +[2024-05-26 13:13:35,117] - INFO: Epoch 2615/9999, Iter 261400: Loss = 0.012564362026751041, lr = [1.25e-05] +[2024-05-26 13:14:02,386] - INFO: Epoch 2615/9999, Iter 261440: Loss = 0.011464197188615799, lr = [1.25e-05] +[2024-05-26 13:14:29,606] - INFO: Epoch 2615/9999, Iter 261480: Loss = 0.008971260860562325, lr = [1.25e-05] +[2024-05-26 13:14:42,881] - INFO: Evaluate at epoch 2615! +[2024-05-26 13:14:47,507] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:14:47,507] - INFO: Eval PSNR (current): 38.199 (2615) SSIM (current): 0.9616 (2615) +[2024-05-26 13:14:47,507] - INFO: Evaluation over. +[2024-05-26 13:15:08,682] - INFO: Epoch 2616/9999, Iter 261520: Loss = 0.013592543080449104, lr = [1.25e-05] +[2024-05-26 13:15:35,931] - INFO: Epoch 2616/9999, Iter 261560: Loss = 0.012553049251437187, lr = [1.25e-05] +[2024-05-26 13:16:04,461] - INFO: Epoch 2617/9999, Iter 261600: Loss = 0.012970644049346447, lr = [1.25e-05] +[2024-05-26 13:16:31,770] - INFO: Epoch 2617/9999, Iter 261640: Loss = 0.009116742759943008, lr = [1.25e-05] +[2024-05-26 13:16:58,909] - INFO: Epoch 2617/9999, Iter 261680: Loss = 0.015976401045918465, lr = [1.25e-05] +[2024-05-26 13:17:27,516] - INFO: Epoch 2618/9999, Iter 261720: Loss = 0.011734165251255035, lr = [1.25e-05] +[2024-05-26 13:17:54,726] - INFO: Epoch 2618/9999, Iter 261760: Loss = 0.018586978316307068, lr = [1.25e-05] +[2024-05-26 13:18:23,432] - INFO: Epoch 2619/9999, Iter 261800: Loss = 0.014940767548978329, lr = [1.25e-05] +[2024-05-26 13:18:50,760] - INFO: Epoch 2619/9999, Iter 261840: Loss = 0.013318088836967945, lr = [1.25e-05] +[2024-05-26 13:19:17,895] - INFO: Epoch 2619/9999, Iter 261880: Loss = 0.009834574535489082, lr = [1.25e-05] +[2024-05-26 13:19:46,431] - INFO: Epoch 2620/9999, Iter 261920: Loss = 0.015369920991361141, lr = [1.25e-05] +[2024-05-26 13:20:13,567] - INFO: Epoch 2620/9999, Iter 261960: Loss = 0.008860481902956963, lr = [1.25e-05] +[2024-05-26 13:20:40,507] - INFO: Evaluate at epoch 2620! +[2024-05-26 13:20:45,045] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:20:45,046] - INFO: Eval PSNR (current): 38.226 (2620) SSIM (current): 0.9617 (2620) +[2024-05-26 13:20:45,046] - INFO: Evaluation over. +[2024-05-26 13:20:51,720] - INFO: Epoch 2621/9999, Iter 262000: Loss = 0.022724248468875885, lr = [1.25e-05] +[2024-05-26 13:21:18,956] - INFO: Epoch 2621/9999, Iter 262040: Loss = 0.01078046765178442, lr = [1.25e-05] +[2024-05-26 13:21:46,129] - INFO: Epoch 2621/9999, Iter 262080: Loss = 0.015325621701776981, lr = [1.25e-05] +[2024-05-26 13:22:14,942] - INFO: Epoch 2622/9999, Iter 262120: Loss = 0.018241355195641518, lr = [1.25e-05] +[2024-05-26 13:22:42,194] - INFO: Epoch 2622/9999, Iter 262160: Loss = 0.009263754822313786, lr = [1.25e-05] +[2024-05-26 13:23:10,712] - INFO: Epoch 2623/9999, Iter 262200: Loss = 0.008887095376849174, lr = [1.25e-05] +[2024-05-26 13:23:38,034] - INFO: Epoch 2623/9999, Iter 262240: Loss = 0.011636788956820965, lr = [1.25e-05] +[2024-05-26 13:24:05,194] - INFO: Epoch 2623/9999, Iter 262280: Loss = 0.017338577657938004, lr = [1.25e-05] +[2024-05-26 13:24:33,805] - INFO: Epoch 2624/9999, Iter 262320: Loss = 0.013781951740384102, lr = [1.25e-05] +[2024-05-26 13:25:00,910] - INFO: Epoch 2624/9999, Iter 262360: Loss = 0.017693396657705307, lr = [1.25e-05] +[2024-05-26 13:25:29,425] - INFO: Epoch 2625/9999, Iter 262400: Loss = 0.01031891442835331, lr = [1.25e-05] +[2024-05-26 13:25:56,736] - INFO: Epoch 2625/9999, Iter 262440: Loss = 0.012315163388848305, lr = [1.25e-05] +[2024-05-26 13:26:23,926] - INFO: Epoch 2625/9999, Iter 262480: Loss = 0.01674461178481579, lr = [1.25e-05] +[2024-05-26 13:26:37,209] - INFO: Evaluate at epoch 2625! +[2024-05-26 13:26:41,819] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:26:41,820] - INFO: Eval PSNR (current): 38.222 (2625) SSIM (current): 0.9617 (2625) +[2024-05-26 13:26:41,820] - INFO: Evaluation over. +[2024-05-26 13:27:02,502] - INFO: Epoch 2626/9999, Iter 262520: Loss = 0.009669939987361431, lr = [1.25e-05] +[2024-05-26 13:27:29,629] - INFO: Epoch 2626/9999, Iter 262560: Loss = 0.010485428385436535, lr = [1.25e-05] +[2024-05-26 13:27:58,273] - INFO: Epoch 2627/9999, Iter 262600: Loss = 0.008532507345080376, lr = [1.25e-05] +[2024-05-26 13:28:25,585] - INFO: Epoch 2627/9999, Iter 262640: Loss = 0.007897925563156605, lr = [1.25e-05] +[2024-05-26 13:28:52,799] - INFO: Epoch 2627/9999, Iter 262680: Loss = 0.014186356216669083, lr = [1.25e-05] +[2024-05-26 13:29:21,515] - INFO: Epoch 2628/9999, Iter 262720: Loss = 0.011869805864989758, lr = [1.25e-05] +[2024-05-26 13:29:48,755] - INFO: Epoch 2628/9999, Iter 262760: Loss = 0.0132870739325881, lr = [1.25e-05] +[2024-05-26 13:30:17,225] - INFO: Epoch 2629/9999, Iter 262800: Loss = 0.012052364647388458, lr = [1.25e-05] +[2024-05-26 13:30:44,625] - INFO: Epoch 2629/9999, Iter 262840: Loss = 0.00715184211730957, lr = [1.25e-05] +[2024-05-26 13:31:11,879] - INFO: Epoch 2629/9999, Iter 262880: Loss = 0.010751796886324883, lr = [1.25e-05] +[2024-05-26 13:31:40,679] - INFO: Epoch 2630/9999, Iter 262920: Loss = 0.006367077585309744, lr = [1.25e-05] +[2024-05-26 13:32:07,859] - INFO: Epoch 2630/9999, Iter 262960: Loss = 0.014652696438133717, lr = [1.25e-05] +[2024-05-26 13:32:34,727] - INFO: Evaluate at epoch 2630! +[2024-05-26 13:32:44,793] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:32:44,793] - INFO: Eval PSNR (current): 38.220 (2630) SSIM (current): 0.9617 (2630) +[2024-05-26 13:32:44,793] - INFO: Evaluation over. +[2024-05-26 13:32:51,523] - INFO: Epoch 2631/9999, Iter 263000: Loss = 0.009217411279678345, lr = [1.25e-05] +[2024-05-26 13:33:18,790] - INFO: Epoch 2631/9999, Iter 263040: Loss = 0.010909322649240494, lr = [1.25e-05] +[2024-05-26 13:33:46,007] - INFO: Epoch 2631/9999, Iter 263080: Loss = 0.006609618663787842, lr = [1.25e-05] +[2024-05-26 13:34:14,613] - INFO: Epoch 2632/9999, Iter 263120: Loss = 0.014677989296615124, lr = [1.25e-05] +[2024-05-26 13:34:41,842] - INFO: Epoch 2632/9999, Iter 263160: Loss = 0.01722681149840355, lr = [1.25e-05] +[2024-05-26 13:35:10,496] - INFO: Epoch 2633/9999, Iter 263200: Loss = 0.010171795263886452, lr = [1.25e-05] +[2024-05-26 13:35:37,779] - INFO: Epoch 2633/9999, Iter 263240: Loss = 0.00884335208684206, lr = [1.25e-05] +[2024-05-26 13:36:04,986] - INFO: Epoch 2633/9999, Iter 263280: Loss = 0.014991248026490211, lr = [1.25e-05] +[2024-05-26 13:36:33,543] - INFO: Epoch 2634/9999, Iter 263320: Loss = 0.010843689553439617, lr = [1.25e-05] +[2024-05-26 13:37:00,738] - INFO: Epoch 2634/9999, Iter 263360: Loss = 0.0260222926735878, lr = [1.25e-05] +[2024-05-26 13:37:29,092] - INFO: Epoch 2635/9999, Iter 263400: Loss = 0.014137501828372478, lr = [1.25e-05] +[2024-05-26 13:37:56,390] - INFO: Epoch 2635/9999, Iter 263440: Loss = 0.012195187620818615, lr = [1.25e-05] +[2024-05-26 13:38:23,559] - INFO: Epoch 2635/9999, Iter 263480: Loss = 0.012581776827573776, lr = [1.25e-05] +[2024-05-26 13:38:36,822] - INFO: Evaluate at epoch 2635! +[2024-05-26 13:38:41,565] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:38:41,565] - INFO: Eval PSNR (current): 38.209 (2635) SSIM (current): 0.9617 (2635) +[2024-05-26 13:38:41,565] - INFO: Evaluation over. +[2024-05-26 13:39:02,160] - INFO: Epoch 2636/9999, Iter 263520: Loss = 0.02323657087981701, lr = [1.25e-05] +[2024-05-26 13:39:29,377] - INFO: Epoch 2636/9999, Iter 263560: Loss = 0.01680040918290615, lr = [1.25e-05] +[2024-05-26 13:39:57,777] - INFO: Epoch 2637/9999, Iter 263600: Loss = 0.014843660406768322, lr = [1.25e-05] +[2024-05-26 13:40:24,967] - INFO: Epoch 2637/9999, Iter 263640: Loss = 0.012569096870720387, lr = [1.25e-05] +[2024-05-26 13:40:52,171] - INFO: Epoch 2637/9999, Iter 263680: Loss = 0.009933698922395706, lr = [1.25e-05] +[2024-05-26 13:41:20,999] - INFO: Epoch 2638/9999, Iter 263720: Loss = 0.015447231009602547, lr = [1.25e-05] +[2024-05-26 13:41:48,178] - INFO: Epoch 2638/9999, Iter 263760: Loss = 0.007068175822496414, lr = [1.25e-05] +[2024-05-26 13:42:16,745] - INFO: Epoch 2639/9999, Iter 263800: Loss = 0.011048044078052044, lr = [1.25e-05] +[2024-05-26 13:42:44,091] - INFO: Epoch 2639/9999, Iter 263840: Loss = 0.009377149865031242, lr = [1.25e-05] +[2024-05-26 13:43:11,281] - INFO: Epoch 2639/9999, Iter 263880: Loss = 0.018817881122231483, lr = [1.25e-05] +[2024-05-26 13:43:39,986] - INFO: Epoch 2640/9999, Iter 263920: Loss = 0.013301488943397999, lr = [1.25e-05] +[2024-05-26 13:44:07,166] - INFO: Epoch 2640/9999, Iter 263960: Loss = 0.021944532170891762, lr = [1.25e-05] +[2024-05-26 13:44:34,107] - INFO: Evaluate at epoch 2640! +[2024-05-26 13:44:38,774] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:44:38,774] - INFO: Eval PSNR (current): 38.209 (2640) SSIM (current): 0.9616 (2640) +[2024-05-26 13:44:38,774] - INFO: Evaluation over. +[2024-05-26 13:44:45,770] - INFO: Epoch 2641/9999, Iter 264000: Loss = 0.01858782395720482, lr = [1.25e-05] +[2024-05-26 13:45:13,101] - INFO: Epoch 2641/9999, Iter 264040: Loss = 0.019179316237568855, lr = [1.25e-05] +[2024-05-26 13:45:40,299] - INFO: Epoch 2641/9999, Iter 264080: Loss = 0.013786987401545048, lr = [1.25e-05] +[2024-05-26 13:46:08,923] - INFO: Epoch 2642/9999, Iter 264120: Loss = 0.009456171654164791, lr = [1.25e-05] +[2024-05-26 13:46:36,070] - INFO: Epoch 2642/9999, Iter 264160: Loss = 0.007524577435106039, lr = [1.25e-05] +[2024-05-26 13:47:04,589] - INFO: Epoch 2643/9999, Iter 264200: Loss = 0.013455377891659737, lr = [1.25e-05] +[2024-05-26 13:47:31,910] - INFO: Epoch 2643/9999, Iter 264240: Loss = 0.00948228221386671, lr = [1.25e-05] +[2024-05-26 13:47:59,139] - INFO: Epoch 2643/9999, Iter 264280: Loss = 0.013992183841764927, lr = [1.25e-05] +[2024-05-26 13:48:27,690] - INFO: Epoch 2644/9999, Iter 264320: Loss = 0.01101501565426588, lr = [1.25e-05] +[2024-05-26 13:48:54,915] - INFO: Epoch 2644/9999, Iter 264360: Loss = 0.008708841167390347, lr = [1.25e-05] +[2024-05-26 13:49:23,348] - INFO: Epoch 2645/9999, Iter 264400: Loss = 0.008359445258975029, lr = [1.25e-05] +[2024-05-26 13:49:50,619] - INFO: Epoch 2645/9999, Iter 264440: Loss = 0.017292536795139313, lr = [1.25e-05] +[2024-05-26 13:50:17,798] - INFO: Epoch 2645/9999, Iter 264480: Loss = 0.012320107780396938, lr = [1.25e-05] +[2024-05-26 13:50:31,087] - INFO: Evaluate at epoch 2645! +[2024-05-26 13:50:35,666] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:50:35,666] - INFO: Eval PSNR (current): 38.205 (2645) SSIM (current): 0.9616 (2645) +[2024-05-26 13:50:35,666] - INFO: Evaluation over. +[2024-05-26 13:50:56,006] - INFO: Epoch 2646/9999, Iter 264520: Loss = 0.015547281131148338, lr = [1.25e-05] +[2024-05-26 13:51:23,155] - INFO: Epoch 2646/9999, Iter 264560: Loss = 0.010169798508286476, lr = [1.25e-05] +[2024-05-26 13:51:51,717] - INFO: Epoch 2647/9999, Iter 264600: Loss = 0.019824203103780746, lr = [1.25e-05] +[2024-05-26 13:52:18,965] - INFO: Epoch 2647/9999, Iter 264640: Loss = 0.014402811415493488, lr = [1.25e-05] +[2024-05-26 13:52:46,179] - INFO: Epoch 2647/9999, Iter 264680: Loss = 0.010150684975087643, lr = [1.25e-05] +[2024-05-26 13:53:14,761] - INFO: Epoch 2648/9999, Iter 264720: Loss = 0.00457656430080533, lr = [1.25e-05] +[2024-05-26 13:53:41,942] - INFO: Epoch 2648/9999, Iter 264760: Loss = 0.010510623455047607, lr = [1.25e-05] +[2024-05-26 13:54:10,500] - INFO: Epoch 2649/9999, Iter 264800: Loss = 0.008390434086322784, lr = [1.25e-05] +[2024-05-26 13:54:37,806] - INFO: Epoch 2649/9999, Iter 264840: Loss = 0.014204149134457111, lr = [1.25e-05] +[2024-05-26 13:55:05,012] - INFO: Epoch 2649/9999, Iter 264880: Loss = 0.009676564484834671, lr = [1.25e-05] +[2024-05-26 13:55:33,558] - INFO: Epoch 2650/9999, Iter 264920: Loss = 0.010550287552177906, lr = [1.25e-05] +[2024-05-26 13:56:00,798] - INFO: Epoch 2650/9999, Iter 264960: Loss = 0.004133834969252348, lr = [1.25e-05] +[2024-05-26 13:56:27,681] - INFO: Evaluate at epoch 2650! +[2024-05-26 13:56:32,306] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:56:32,307] - INFO: Eval PSNR (current): 38.207 (2650) SSIM (current): 0.9617 (2650) +[2024-05-26 13:56:32,307] - INFO: Evaluation over. +[2024-05-26 13:56:39,465] - INFO: Epoch 2651/9999, Iter 265000: Loss = 0.013676193542778492, lr = [1.25e-05] +[2024-05-26 13:57:06,784] - INFO: Epoch 2651/9999, Iter 265040: Loss = 0.015716949477791786, lr = [1.25e-05] +[2024-05-26 13:57:33,940] - INFO: Epoch 2651/9999, Iter 265080: Loss = 0.006006272975355387, lr = [1.25e-05] +[2024-05-26 13:58:02,454] - INFO: Epoch 2652/9999, Iter 265120: Loss = 0.008813372813165188, lr = [1.25e-05] +[2024-05-26 13:58:29,605] - INFO: Epoch 2652/9999, Iter 265160: Loss = 0.009728524833917618, lr = [1.25e-05] +[2024-05-26 13:58:58,192] - INFO: Epoch 2653/9999, Iter 265200: Loss = 0.009869140572845936, lr = [1.25e-05] +[2024-05-26 13:59:25,497] - INFO: Epoch 2653/9999, Iter 265240: Loss = 0.007921085692942142, lr = [1.25e-05] +[2024-05-26 13:59:52,651] - INFO: Epoch 2653/9999, Iter 265280: Loss = 0.011029848828911781, lr = [1.25e-05] +[2024-05-26 14:00:21,202] - INFO: Epoch 2654/9999, Iter 265320: Loss = 0.007123851682990789, lr = [1.25e-05] +[2024-05-26 14:00:48,373] - INFO: Epoch 2654/9999, Iter 265360: Loss = 0.01062064804136753, lr = [1.25e-05] +[2024-05-26 14:01:17,017] - INFO: Epoch 2655/9999, Iter 265400: Loss = 0.01638929173350334, lr = [1.25e-05] +[2024-05-26 14:01:44,276] - INFO: Epoch 2655/9999, Iter 265440: Loss = 0.007331195753067732, lr = [1.25e-05] +[2024-05-26 14:02:11,398] - INFO: Epoch 2655/9999, Iter 265480: Loss = 0.00919613428413868, lr = [1.25e-05] +[2024-05-26 14:02:24,682] - INFO: Evaluate at epoch 2655! +[2024-05-26 14:02:29,328] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 14:02:29,329] - INFO: Eval PSNR (current): 38.217 (2655) SSIM (current): 0.9617 (2655) +[2024-05-26 14:02:29,329] - INFO: Evaluation over. +[2024-05-26 14:02:49,886] - INFO: Epoch 2656/9999, Iter 265520: Loss = 0.006911244243383408, lr = [1.25e-05] +[2024-05-26 14:03:17,087] - INFO: Epoch 2656/9999, Iter 265560: Loss = 0.00902578979730606, lr = [1.25e-05] +[2024-05-26 14:03:45,655] - INFO: Epoch 2657/9999, Iter 265600: Loss = 0.006469645071774721, lr = [1.25e-05] +[2024-05-26 14:04:13,002] - INFO: Epoch 2657/9999, Iter 265640: Loss = 0.02048807218670845, lr = [1.25e-05] +[2024-05-26 14:04:40,167] - INFO: Epoch 2657/9999, Iter 265680: Loss = 0.008671159856021404, lr = [1.25e-05] +[2024-05-26 14:05:09,031] - INFO: Epoch 2658/9999, Iter 265720: Loss = 0.015552446246147156, lr = [1.25e-05] +[2024-05-26 14:05:36,283] - INFO: Epoch 2658/9999, Iter 265760: Loss = 0.012033212929964066, lr = [1.25e-05] +[2024-05-26 14:06:04,653] - INFO: Epoch 2659/9999, Iter 265800: Loss = 0.010845433920621872, lr = [1.25e-05] +[2024-05-26 14:06:31,925] - INFO: Epoch 2659/9999, Iter 265840: Loss = 0.016503021121025085, lr = [1.25e-05] +[2024-05-26 14:06:59,089] - INFO: Epoch 2659/9999, Iter 265880: Loss = 0.017955433577299118, lr = [1.25e-05] +[2024-05-26 14:07:27,674] - INFO: Epoch 2660/9999, Iter 265920: Loss = 0.008550883270800114, lr = [1.25e-05] +[2024-05-26 14:07:54,873] - INFO: Epoch 2660/9999, Iter 265960: Loss = 0.011095485650002956, lr = [1.25e-05] +[2024-05-26 14:08:21,741] - INFO: Evaluate at epoch 2660! +[2024-05-26 14:08:31,992] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2660) +[2024-05-26 14:08:31,993] - INFO: Eval PSNR (current): 38.226 (2660) SSIM (current): 0.9617 (2660) +[2024-05-26 14:08:31,993] - INFO: Evaluation over. +[2024-05-26 14:08:38,733] - INFO: Epoch 2661/9999, Iter 266000: Loss = 0.014653024263679981, lr = [1.25e-05] +[2024-05-26 14:09:05,944] - INFO: Epoch 2661/9999, Iter 266040: Loss = 0.012231312692165375, lr = [1.25e-05] +[2024-05-26 14:09:33,118] - INFO: Epoch 2661/9999, Iter 266080: Loss = 0.006506364326924086, lr = [1.25e-05] +[2024-05-26 14:10:01,749] - INFO: Epoch 2662/9999, Iter 266120: Loss = 0.011917362920939922, lr = [1.25e-05] +[2024-05-26 14:10:28,878] - INFO: Epoch 2662/9999, Iter 266160: Loss = 0.012035052292048931, lr = [1.25e-05] +[2024-05-26 14:10:57,468] - INFO: Epoch 2663/9999, Iter 266200: Loss = 0.014065610244870186, lr = [1.25e-05] +[2024-05-26 14:11:24,824] - INFO: Epoch 2663/9999, Iter 266240: Loss = 0.013531127944588661, lr = [1.25e-05] +[2024-05-26 14:11:52,013] - INFO: Epoch 2663/9999, Iter 266280: Loss = 0.010336059145629406, lr = [1.25e-05] +[2024-05-26 14:12:20,570] - INFO: Epoch 2664/9999, Iter 266320: Loss = 0.00881162192672491, lr = [1.25e-05] +[2024-05-26 14:12:47,747] - INFO: Epoch 2664/9999, Iter 266360: Loss = 0.015322188846766949, lr = [1.25e-05] +[2024-05-26 14:13:16,357] - INFO: Epoch 2665/9999, Iter 266400: Loss = 0.01401903573423624, lr = [1.25e-05] +[2024-05-26 14:13:43,645] - INFO: Epoch 2665/9999, Iter 266440: Loss = 0.01634150929749012, lr = [1.25e-05] +[2024-05-26 14:14:10,753] - INFO: Epoch 2665/9999, Iter 266480: Loss = 0.021752003580331802, lr = [1.25e-05] +[2024-05-26 14:14:24,084] - INFO: Evaluate at epoch 2665! +[2024-05-26 14:14:28,617] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2660) +[2024-05-26 14:14:28,617] - INFO: Eval PSNR (current): 38.214 (2665) SSIM (current): 0.9617 (2665) +[2024-05-26 14:14:28,617] - INFO: Evaluation over. +[2024-05-26 14:14:49,547] - INFO: Epoch 2666/9999, Iter 266520: Loss = 0.009101444855332375, lr = [1.25e-05] +[2024-05-26 14:15:16,683] - INFO: Epoch 2666/9999, Iter 266560: Loss = 0.007960331626236439, lr = [1.25e-05] +[2024-05-26 14:15:45,287] - INFO: Epoch 2667/9999, Iter 266600: Loss = 0.010150103829801083, lr = [1.25e-05] +[2024-05-26 14:16:12,571] - INFO: Epoch 2667/9999, Iter 266640: Loss = 0.005599045194685459, lr = [1.25e-05] +[2024-05-26 14:16:39,742] - INFO: Epoch 2667/9999, Iter 266680: Loss = 0.010698329657316208, lr = [1.25e-05] +[2024-05-26 14:17:08,122] - INFO: Epoch 2668/9999, Iter 266720: Loss = 0.010936100967228413, lr = [1.25e-05] +[2024-05-26 14:17:35,290] - INFO: Epoch 2668/9999, Iter 266760: Loss = 0.014203188009560108, lr = [1.25e-05] +[2024-05-26 14:18:03,789] - INFO: Epoch 2669/9999, Iter 266800: Loss = 0.014293418265879154, lr = [1.25e-05] +[2024-05-26 14:18:31,066] - INFO: Epoch 2669/9999, Iter 266840: Loss = 0.020004721358418465, lr = [1.25e-05] +[2024-05-26 14:18:58,163] - INFO: Epoch 2669/9999, Iter 266880: Loss = 0.01299881748855114, lr = [1.25e-05] +[2024-05-26 14:19:26,790] - INFO: Epoch 2670/9999, Iter 266920: Loss = 0.007790680509060621, lr = [1.25e-05] +[2024-05-26 14:19:54,028] - INFO: Epoch 2670/9999, Iter 266960: Loss = 0.0083078071475029, lr = [1.25e-05] +[2024-05-26 14:20:20,852] - INFO: Evaluate at epoch 2670! +[2024-05-26 14:20:31,120] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:20:31,120] - INFO: Eval PSNR (current): 38.236 (2670) SSIM (current): 0.9617 (2670) +[2024-05-26 14:20:31,120] - INFO: Evaluation over. +[2024-05-26 14:20:37,799] - INFO: Epoch 2671/9999, Iter 267000: Loss = 0.023850012570619583, lr = [1.25e-05] +[2024-05-26 14:21:05,113] - INFO: Epoch 2671/9999, Iter 267040: Loss = 0.015052811242640018, lr = [1.25e-05] +[2024-05-26 14:21:32,283] - INFO: Epoch 2671/9999, Iter 267080: Loss = 0.010447022505104542, lr = [1.25e-05] +[2024-05-26 14:22:00,966] - INFO: Epoch 2672/9999, Iter 267120: Loss = 0.008210019208490849, lr = [1.25e-05] +[2024-05-26 14:22:28,202] - INFO: Epoch 2672/9999, Iter 267160: Loss = 0.019247137010097504, lr = [1.25e-05] +[2024-05-26 14:22:56,748] - INFO: Epoch 2673/9999, Iter 267200: Loss = 0.013095302507281303, lr = [1.25e-05] +[2024-05-26 14:23:24,044] - INFO: Epoch 2673/9999, Iter 267240: Loss = 0.00857799407094717, lr = [1.25e-05] +[2024-05-26 14:23:51,230] - INFO: Epoch 2673/9999, Iter 267280: Loss = 0.012759694829583168, lr = [1.25e-05] +[2024-05-26 14:24:19,897] - INFO: Epoch 2674/9999, Iter 267320: Loss = 0.013262231834232807, lr = [1.25e-05] +[2024-05-26 14:24:47,138] - INFO: Epoch 2674/9999, Iter 267360: Loss = 0.012022221460938454, lr = [1.25e-05] +[2024-05-26 14:25:15,738] - INFO: Epoch 2675/9999, Iter 267400: Loss = 0.010746503248810768, lr = [1.25e-05] +[2024-05-26 14:25:43,103] - INFO: Epoch 2675/9999, Iter 267440: Loss = 0.017274383455514908, lr = [1.25e-05] +[2024-05-26 14:26:10,218] - INFO: Epoch 2675/9999, Iter 267480: Loss = 0.01739143207669258, lr = [1.25e-05] +[2024-05-26 14:26:23,484] - INFO: Evaluate at epoch 2675! +[2024-05-26 14:26:28,067] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:26:28,067] - INFO: Eval PSNR (current): 38.209 (2675) SSIM (current): 0.9617 (2675) +[2024-05-26 14:26:28,067] - INFO: Evaluation over. +[2024-05-26 14:26:48,703] - INFO: Epoch 2676/9999, Iter 267520: Loss = 0.013269757851958275, lr = [1.25e-05] +[2024-05-26 14:27:15,892] - INFO: Epoch 2676/9999, Iter 267560: Loss = 0.009624815545976162, lr = [1.25e-05] +[2024-05-26 14:27:44,397] - INFO: Epoch 2677/9999, Iter 267600: Loss = 0.010642330162227154, lr = [1.25e-05] +[2024-05-26 14:28:11,699] - INFO: Epoch 2677/9999, Iter 267640: Loss = 0.016441496089100838, lr = [1.25e-05] +[2024-05-26 14:28:38,920] - INFO: Epoch 2677/9999, Iter 267680: Loss = 0.02290133200585842, lr = [1.25e-05] +[2024-05-26 14:29:07,474] - INFO: Epoch 2678/9999, Iter 267720: Loss = 0.009456474334001541, lr = [1.25e-05] +[2024-05-26 14:29:34,654] - INFO: Epoch 2678/9999, Iter 267760: Loss = 0.007513216231018305, lr = [1.25e-05] +[2024-05-26 14:30:03,260] - INFO: Epoch 2679/9999, Iter 267800: Loss = 0.014018699526786804, lr = [1.25e-05] +[2024-05-26 14:30:30,517] - INFO: Epoch 2679/9999, Iter 267840: Loss = 0.014821580611169338, lr = [1.25e-05] +[2024-05-26 14:30:57,666] - INFO: Epoch 2679/9999, Iter 267880: Loss = 0.013448450714349747, lr = [1.25e-05] +[2024-05-26 14:31:26,315] - INFO: Epoch 2680/9999, Iter 267920: Loss = 0.011240850202739239, lr = [1.25e-05] +[2024-05-26 14:31:53,481] - INFO: Epoch 2680/9999, Iter 267960: Loss = 0.008705804124474525, lr = [1.25e-05] +[2024-05-26 14:32:20,360] - INFO: Evaluate at epoch 2680! +[2024-05-26 14:32:25,112] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:32:25,112] - INFO: Eval PSNR (current): 38.216 (2680) SSIM (current): 0.9617 (2680) +[2024-05-26 14:32:25,112] - INFO: Evaluation over. +[2024-05-26 14:32:31,856] - INFO: Epoch 2681/9999, Iter 268000: Loss = 0.014791523106396198, lr = [1.25e-05] +[2024-05-26 14:32:59,230] - INFO: Epoch 2681/9999, Iter 268040: Loss = 0.00955897942185402, lr = [1.25e-05] +[2024-05-26 14:33:26,414] - INFO: Epoch 2681/9999, Iter 268080: Loss = 0.007306902669370174, lr = [1.25e-05] +[2024-05-26 14:33:54,950] - INFO: Epoch 2682/9999, Iter 268120: Loss = 0.010062615387141705, lr = [1.25e-05] +[2024-05-26 14:34:22,118] - INFO: Epoch 2682/9999, Iter 268160: Loss = 0.007116974331438541, lr = [1.25e-05] +[2024-05-26 14:34:50,657] - INFO: Epoch 2683/9999, Iter 268200: Loss = 0.006962672807276249, lr = [1.25e-05] +[2024-05-26 14:35:17,870] - INFO: Epoch 2683/9999, Iter 268240: Loss = 0.0071310121566057205, lr = [1.25e-05] +[2024-05-26 14:35:45,034] - INFO: Epoch 2683/9999, Iter 268280: Loss = 0.012060695327818394, lr = [1.25e-05] +[2024-05-26 14:36:13,627] - INFO: Epoch 2684/9999, Iter 268320: Loss = 0.013737586326897144, lr = [1.25e-05] +[2024-05-26 14:36:40,874] - INFO: Epoch 2684/9999, Iter 268360: Loss = 0.008361855521798134, lr = [1.25e-05] +[2024-05-26 14:37:09,382] - INFO: Epoch 2685/9999, Iter 268400: Loss = 0.014902419410645962, lr = [1.25e-05] +[2024-05-26 14:37:36,674] - INFO: Epoch 2685/9999, Iter 268440: Loss = 0.0104765510186553, lr = [1.25e-05] +[2024-05-26 14:38:03,862] - INFO: Epoch 2685/9999, Iter 268480: Loss = 0.011301857419312, lr = [1.25e-05] +[2024-05-26 14:38:17,188] - INFO: Evaluate at epoch 2685! +[2024-05-26 14:38:21,852] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:38:21,852] - INFO: Eval PSNR (current): 38.225 (2685) SSIM (current): 0.9617 (2685) +[2024-05-26 14:38:21,852] - INFO: Evaluation over. +[2024-05-26 14:38:42,118] - INFO: Epoch 2686/9999, Iter 268520: Loss = 0.013878372497856617, lr = [1.25e-05] +[2024-05-26 14:39:09,348] - INFO: Epoch 2686/9999, Iter 268560: Loss = 0.014023927040398121, lr = [1.25e-05] +[2024-05-26 14:39:37,860] - INFO: Epoch 2687/9999, Iter 268600: Loss = 0.011290020309388638, lr = [1.25e-05] +[2024-05-26 14:40:05,125] - INFO: Epoch 2687/9999, Iter 268640: Loss = 0.014970661140978336, lr = [1.25e-05] +[2024-05-26 14:40:32,331] - INFO: Epoch 2687/9999, Iter 268680: Loss = 0.01454964280128479, lr = [1.25e-05] +[2024-05-26 14:41:01,064] - INFO: Epoch 2688/9999, Iter 268720: Loss = 0.0185092706233263, lr = [1.25e-05] +[2024-05-26 14:41:28,238] - INFO: Epoch 2688/9999, Iter 268760: Loss = 0.012075339443981647, lr = [1.25e-05] +[2024-05-26 14:41:56,718] - INFO: Epoch 2689/9999, Iter 268800: Loss = 0.010484505444765091, lr = [1.25e-05] +[2024-05-26 14:42:23,959] - INFO: Epoch 2689/9999, Iter 268840: Loss = 0.017027664929628372, lr = [1.25e-05] +[2024-05-26 14:42:51,173] - INFO: Epoch 2689/9999, Iter 268880: Loss = 0.009107125923037529, lr = [1.25e-05] +[2024-05-26 14:43:19,850] - INFO: Epoch 2690/9999, Iter 268920: Loss = 0.014915150590240955, lr = [1.25e-05] +[2024-05-26 14:43:47,045] - INFO: Epoch 2690/9999, Iter 268960: Loss = 0.011571220122277737, lr = [1.25e-05] +[2024-05-26 14:44:13,886] - INFO: Evaluate at epoch 2690! +[2024-05-26 14:44:18,512] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:44:18,512] - INFO: Eval PSNR (current): 38.227 (2690) SSIM (current): 0.9617 (2690) +[2024-05-26 14:44:18,512] - INFO: Evaluation over. +[2024-05-26 14:44:25,148] - INFO: Epoch 2691/9999, Iter 269000: Loss = 0.010259818285703659, lr = [1.25e-05] +[2024-05-26 14:44:52,367] - INFO: Epoch 2691/9999, Iter 269040: Loss = 0.014705443754792213, lr = [1.25e-05] +[2024-05-26 14:45:19,554] - INFO: Epoch 2691/9999, Iter 269080: Loss = 0.00937621109187603, lr = [1.25e-05] +[2024-05-26 14:45:48,251] - INFO: Epoch 2692/9999, Iter 269120: Loss = 0.017308726906776428, lr = [1.25e-05] +[2024-05-26 14:46:15,403] - INFO: Epoch 2692/9999, Iter 269160: Loss = 0.02019919827580452, lr = [1.25e-05] +[2024-05-26 14:46:43,808] - INFO: Epoch 2693/9999, Iter 269200: Loss = 0.019170677289366722, lr = [1.25e-05] +[2024-05-26 14:47:11,052] - INFO: Epoch 2693/9999, Iter 269240: Loss = 0.014101688750088215, lr = [1.25e-05] +[2024-05-26 14:47:38,281] - INFO: Epoch 2693/9999, Iter 269280: Loss = 0.018393738195300102, lr = [1.25e-05] +[2024-05-26 14:48:06,788] - INFO: Epoch 2694/9999, Iter 269320: Loss = 0.015158801339566708, lr = [1.25e-05] +[2024-05-26 14:48:33,958] - INFO: Epoch 2694/9999, Iter 269360: Loss = 0.019338831305503845, lr = [1.25e-05] +[2024-05-26 14:49:02,563] - INFO: Epoch 2695/9999, Iter 269400: Loss = 0.014237073250114918, lr = [1.25e-05] +[2024-05-26 14:49:29,834] - INFO: Epoch 2695/9999, Iter 269440: Loss = 0.00918609369546175, lr = [1.25e-05] +[2024-05-26 14:49:57,011] - INFO: Epoch 2695/9999, Iter 269480: Loss = 0.015051255002617836, lr = [1.25e-05] +[2024-05-26 14:50:10,331] - INFO: Evaluate at epoch 2695! +[2024-05-26 14:50:14,938] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:50:14,939] - INFO: Eval PSNR (current): 38.209 (2695) SSIM (current): 0.9617 (2695) +[2024-05-26 14:50:14,939] - INFO: Evaluation over. +[2024-05-26 14:50:35,546] - INFO: Epoch 2696/9999, Iter 269520: Loss = 0.015789760276675224, lr = [1.25e-05] +[2024-05-26 14:51:02,727] - INFO: Epoch 2696/9999, Iter 269560: Loss = 0.01686318963766098, lr = [1.25e-05] +[2024-05-26 14:51:31,224] - INFO: Epoch 2697/9999, Iter 269600: Loss = 0.0077025191858410835, lr = [1.25e-05] +[2024-05-26 14:51:58,463] - INFO: Epoch 2697/9999, Iter 269640: Loss = 0.008539708331227303, lr = [1.25e-05] +[2024-05-26 14:52:25,656] - INFO: Epoch 2697/9999, Iter 269680: Loss = 0.012387902475893497, lr = [1.25e-05] +[2024-05-26 14:52:54,218] - INFO: Epoch 2698/9999, Iter 269720: Loss = 0.01331929862499237, lr = [1.25e-05] +[2024-05-26 14:53:21,382] - INFO: Epoch 2698/9999, Iter 269760: Loss = 0.006749176420271397, lr = [1.25e-05] +[2024-05-26 14:53:49,950] - INFO: Epoch 2699/9999, Iter 269800: Loss = 0.010367627255618572, lr = [1.25e-05] +[2024-05-26 14:54:17,311] - INFO: Epoch 2699/9999, Iter 269840: Loss = 0.009651134721934795, lr = [1.25e-05] +[2024-05-26 14:54:44,484] - INFO: Epoch 2699/9999, Iter 269880: Loss = 0.01844249665737152, lr = [1.25e-05] +[2024-05-26 14:55:13,212] - INFO: Epoch 2700/9999, Iter 269920: Loss = 0.008150067180395126, lr = [1.25e-05] +[2024-05-26 14:55:40,420] - INFO: Epoch 2700/9999, Iter 269960: Loss = 0.012932438403367996, lr = [1.25e-05] +[2024-05-26 14:56:07,298] - INFO: Evaluate at epoch 2700! +[2024-05-26 14:56:11,924] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:56:11,924] - INFO: Eval PSNR (current): 38.229 (2700) SSIM (current): 0.9617 (2700) +[2024-05-26 14:56:11,924] - INFO: Evaluation over. +[2024-05-26 14:56:18,824] - INFO: Epoch 2701/9999, Iter 270000: Loss = 0.012495022267103195, lr = [1.25e-05] +[2024-05-26 14:56:46,118] - INFO: Epoch 2701/9999, Iter 270040: Loss = 0.015462880954146385, lr = [1.25e-05] +[2024-05-26 14:57:13,271] - INFO: Epoch 2701/9999, Iter 270080: Loss = 0.012787162326276302, lr = [1.25e-05] +[2024-05-26 14:57:41,982] - INFO: Epoch 2702/9999, Iter 270120: Loss = 0.01951807551085949, lr = [1.25e-05] +[2024-05-26 14:58:09,189] - INFO: Epoch 2702/9999, Iter 270160: Loss = 0.013073913753032684, lr = [1.25e-05] +[2024-05-26 14:58:37,837] - INFO: Epoch 2703/9999, Iter 270200: Loss = 0.016808608546853065, lr = [1.25e-05] +[2024-05-26 14:59:05,215] - INFO: Epoch 2703/9999, Iter 270240: Loss = 0.0062582907266914845, lr = [1.25e-05] +[2024-05-26 14:59:32,434] - INFO: Epoch 2703/9999, Iter 270280: Loss = 0.014241189695894718, lr = [1.25e-05] +[2024-05-26 15:00:01,061] - INFO: Epoch 2704/9999, Iter 270320: Loss = 0.009920142590999603, lr = [1.25e-05] +[2024-05-26 15:00:28,166] - INFO: Epoch 2704/9999, Iter 270360: Loss = 0.010493475012481213, lr = [1.25e-05] +[2024-05-26 15:00:56,581] - INFO: Epoch 2705/9999, Iter 270400: Loss = 0.008480681106448174, lr = [1.25e-05] +[2024-05-26 15:01:23,862] - INFO: Epoch 2705/9999, Iter 270440: Loss = 0.00835234671831131, lr = [1.25e-05] +[2024-05-26 15:01:51,106] - INFO: Epoch 2705/9999, Iter 270480: Loss = 0.02582881785929203, lr = [1.25e-05] +[2024-05-26 15:02:04,503] - INFO: Evaluate at epoch 2705! +[2024-05-26 15:02:09,120] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 15:02:09,120] - INFO: Eval PSNR (current): 38.214 (2705) SSIM (current): 0.9616 (2705) +[2024-05-26 15:02:09,120] - INFO: Evaluation over. +[2024-05-26 15:02:29,356] - INFO: Epoch 2706/9999, Iter 270520: Loss = 0.01897301897406578, lr = [1.25e-05] +[2024-05-26 15:02:56,554] - INFO: Epoch 2706/9999, Iter 270560: Loss = 0.012016864493489265, lr = [1.25e-05] +[2024-05-26 15:03:24,953] - INFO: Epoch 2707/9999, Iter 270600: Loss = 0.0065103271044790745, lr = [1.25e-05] +[2024-05-26 15:03:52,299] - INFO: Epoch 2707/9999, Iter 270640: Loss = 0.007073064800351858, lr = [1.25e-05] +[2024-05-26 15:04:19,490] - INFO: Epoch 2707/9999, Iter 270680: Loss = 0.013047576881945133, lr = [1.25e-05] +[2024-05-26 15:04:48,327] - INFO: Epoch 2708/9999, Iter 270720: Loss = 0.00785897672176361, lr = [1.25e-05] +[2024-05-26 15:05:15,464] - INFO: Epoch 2708/9999, Iter 270760: Loss = 0.015058753080666065, lr = [1.25e-05] +[2024-05-26 15:05:44,069] - INFO: Epoch 2709/9999, Iter 270800: Loss = 0.01109160017222166, lr = [1.25e-05] +[2024-05-26 15:06:11,331] - INFO: Epoch 2709/9999, Iter 270840: Loss = 0.01590840518474579, lr = [1.25e-05] +[2024-05-26 15:06:38,476] - INFO: Epoch 2709/9999, Iter 270880: Loss = 0.013336301781237125, lr = [1.25e-05] +[2024-05-26 15:07:07,210] - INFO: Epoch 2710/9999, Iter 270920: Loss = 0.02395971119403839, lr = [1.25e-05] +[2024-05-26 15:07:34,433] - INFO: Epoch 2710/9999, Iter 270960: Loss = 0.010515742935240269, lr = [1.25e-05] +[2024-05-26 15:08:01,348] - INFO: Evaluate at epoch 2710! +[2024-05-26 15:08:06,025] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 15:08:06,025] - INFO: Eval PSNR (current): 38.217 (2710) SSIM (current): 0.9617 (2710) +[2024-05-26 15:08:06,025] - INFO: Evaluation over. +[2024-05-26 15:08:12,978] - INFO: Epoch 2711/9999, Iter 271000: Loss = 0.006965584121644497, lr = [1.25e-05] +[2024-05-26 15:08:40,180] - INFO: Epoch 2711/9999, Iter 271040: Loss = 0.01631246879696846, lr = [1.25e-05] +[2024-05-26 15:09:07,423] - INFO: Epoch 2711/9999, Iter 271080: Loss = 0.012472433038055897, lr = [1.25e-05] +[2024-05-26 15:09:36,170] - INFO: Epoch 2712/9999, Iter 271120: Loss = 0.01490844041109085, lr = [1.25e-05] +[2024-05-26 15:10:03,419] - INFO: Epoch 2712/9999, Iter 271160: Loss = 0.01336415484547615, lr = [1.25e-05] +[2024-05-26 15:10:32,101] - INFO: Epoch 2713/9999, Iter 271200: Loss = 0.018176553770899773, lr = [1.25e-05] +[2024-05-26 15:10:59,426] - INFO: Epoch 2713/9999, Iter 271240: Loss = 0.006744322367012501, lr = [1.25e-05] +[2024-05-26 15:11:26,558] - INFO: Epoch 2713/9999, Iter 271280: Loss = 0.010365666821599007, lr = [1.25e-05] +[2024-05-26 15:11:55,103] - INFO: Epoch 2714/9999, Iter 271320: Loss = 0.010464021936058998, lr = [1.25e-05] +[2024-05-26 15:12:22,291] - INFO: Epoch 2714/9999, Iter 271360: Loss = 0.013768710196018219, lr = [1.25e-05] +[2024-05-26 15:12:50,919] - INFO: Epoch 2715/9999, Iter 271400: Loss = 0.005345264915376902, lr = [1.25e-05] +[2024-05-26 15:13:18,265] - INFO: Epoch 2715/9999, Iter 271440: Loss = 0.011651844717562199, lr = [1.25e-05] +[2024-05-26 15:13:45,432] - INFO: Epoch 2715/9999, Iter 271480: Loss = 0.014464367181062698, lr = [1.25e-05] +[2024-05-26 15:13:58,725] - INFO: Evaluate at epoch 2715! +[2024-05-26 15:14:08,897] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:14:08,898] - INFO: Eval PSNR (current): 38.214 (2715) SSIM (current): 0.9617 (2715) +[2024-05-26 15:14:08,898] - INFO: Evaluation over. +[2024-05-26 15:14:29,378] - INFO: Epoch 2716/9999, Iter 271520: Loss = 0.010189641267061234, lr = [1.25e-05] +[2024-05-26 15:14:56,550] - INFO: Epoch 2716/9999, Iter 271560: Loss = 0.018929362297058105, lr = [1.25e-05] +[2024-05-26 15:15:25,067] - INFO: Epoch 2717/9999, Iter 271600: Loss = 0.025088274851441383, lr = [1.25e-05] +[2024-05-26 15:15:52,334] - INFO: Epoch 2717/9999, Iter 271640: Loss = 0.01661691814661026, lr = [1.25e-05] +[2024-05-26 15:16:19,590] - INFO: Epoch 2717/9999, Iter 271680: Loss = 0.01337171345949173, lr = [1.25e-05] +[2024-05-26 15:16:48,279] - INFO: Epoch 2718/9999, Iter 271720: Loss = 0.010522034950554371, lr = [1.25e-05] +[2024-05-26 15:17:15,443] - INFO: Epoch 2718/9999, Iter 271760: Loss = 0.008555513806641102, lr = [1.25e-05] +[2024-05-26 15:17:43,993] - INFO: Epoch 2719/9999, Iter 271800: Loss = 0.013416385278105736, lr = [1.25e-05] +[2024-05-26 15:18:11,251] - INFO: Epoch 2719/9999, Iter 271840: Loss = 0.009416741319000721, lr = [1.25e-05] +[2024-05-26 15:18:38,410] - INFO: Epoch 2719/9999, Iter 271880: Loss = 0.015690114349126816, lr = [1.25e-05] +[2024-05-26 15:19:07,211] - INFO: Epoch 2720/9999, Iter 271920: Loss = 0.009617661125957966, lr = [1.25e-05] +[2024-05-26 15:19:34,366] - INFO: Epoch 2720/9999, Iter 271960: Loss = 0.010294588282704353, lr = [1.25e-05] +[2024-05-26 15:20:01,274] - INFO: Evaluate at epoch 2720! +[2024-05-26 15:20:05,904] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:20:05,904] - INFO: Eval PSNR (current): 38.220 (2720) SSIM (current): 0.9617 (2720) +[2024-05-26 15:20:05,904] - INFO: Evaluation over. +[2024-05-26 15:20:12,609] - INFO: Epoch 2721/9999, Iter 272000: Loss = 0.007498753257095814, lr = [1.25e-05] +[2024-05-26 15:20:40,010] - INFO: Epoch 2721/9999, Iter 272040: Loss = 0.01733318343758583, lr = [1.25e-05] +[2024-05-26 15:21:07,186] - INFO: Epoch 2721/9999, Iter 272080: Loss = 0.008491434156894684, lr = [1.25e-05] +[2024-05-26 15:21:35,481] - INFO: Epoch 2722/9999, Iter 272120: Loss = 0.008166817016899586, lr = [1.25e-05] +[2024-05-26 15:22:02,650] - INFO: Epoch 2722/9999, Iter 272160: Loss = 0.007336858194321394, lr = [1.25e-05] +[2024-05-26 15:22:31,358] - INFO: Epoch 2723/9999, Iter 272200: Loss = 0.014138867147266865, lr = [1.25e-05] +[2024-05-26 15:22:58,648] - INFO: Epoch 2723/9999, Iter 272240: Loss = 0.014328036457300186, lr = [1.25e-05] +[2024-05-26 15:23:25,846] - INFO: Epoch 2723/9999, Iter 272280: Loss = 0.012167582288384438, lr = [1.25e-05] +[2024-05-26 15:23:54,650] - INFO: Epoch 2724/9999, Iter 272320: Loss = 0.007210190873593092, lr = [1.25e-05] +[2024-05-26 15:24:21,779] - INFO: Epoch 2724/9999, Iter 272360: Loss = 0.011257298290729523, lr = [1.25e-05] +[2024-05-26 15:24:50,469] - INFO: Epoch 2725/9999, Iter 272400: Loss = 0.009282024577260017, lr = [1.25e-05] +[2024-05-26 15:25:17,762] - INFO: Epoch 2725/9999, Iter 272440: Loss = 0.0133528932929039, lr = [1.25e-05] +[2024-05-26 15:25:44,934] - INFO: Epoch 2725/9999, Iter 272480: Loss = 0.01044801902025938, lr = [1.25e-05] +[2024-05-26 15:25:58,222] - INFO: Evaluate at epoch 2725! +[2024-05-26 15:26:02,867] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:26:02,867] - INFO: Eval PSNR (current): 38.222 (2725) SSIM (current): 0.9617 (2725) +[2024-05-26 15:26:02,867] - INFO: Evaluation over. +[2024-05-26 15:26:23,431] - INFO: Epoch 2726/9999, Iter 272520: Loss = 0.01536145806312561, lr = [1.25e-05] +[2024-05-26 15:26:50,750] - INFO: Epoch 2726/9999, Iter 272560: Loss = 0.007865135557949543, lr = [1.25e-05] +[2024-05-26 15:27:19,278] - INFO: Epoch 2727/9999, Iter 272600: Loss = 0.010692417621612549, lr = [1.25e-05] +[2024-05-26 15:27:46,602] - INFO: Epoch 2727/9999, Iter 272640: Loss = 0.010945660062134266, lr = [1.25e-05] +[2024-05-26 15:28:13,769] - INFO: Epoch 2727/9999, Iter 272680: Loss = 0.01937510445713997, lr = [1.25e-05] +[2024-05-26 15:28:42,518] - INFO: Epoch 2728/9999, Iter 272720: Loss = 0.01624108850955963, lr = [1.25e-05] +[2024-05-26 15:29:09,731] - INFO: Epoch 2728/9999, Iter 272760: Loss = 0.008810448460280895, lr = [1.25e-05] +[2024-05-26 15:29:38,312] - INFO: Epoch 2729/9999, Iter 272800: Loss = 0.008486658334732056, lr = [1.25e-05] +[2024-05-26 15:30:05,590] - INFO: Epoch 2729/9999, Iter 272840: Loss = 0.010299044661223888, lr = [1.25e-05] +[2024-05-26 15:30:32,767] - INFO: Epoch 2729/9999, Iter 272880: Loss = 0.009066847153007984, lr = [1.25e-05] +[2024-05-26 15:31:01,426] - INFO: Epoch 2730/9999, Iter 272920: Loss = 0.013226143084466457, lr = [1.25e-05] +[2024-05-26 15:31:28,585] - INFO: Epoch 2730/9999, Iter 272960: Loss = 0.012978442013263702, lr = [1.25e-05] +[2024-05-26 15:31:55,481] - INFO: Evaluate at epoch 2730! +[2024-05-26 15:32:00,133] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:32:00,133] - INFO: Eval PSNR (current): 38.218 (2730) SSIM (current): 0.9617 (2730) +[2024-05-26 15:32:00,133] - INFO: Evaluation over. +[2024-05-26 15:32:06,929] - INFO: Epoch 2731/9999, Iter 273000: Loss = 0.008833949454128742, lr = [1.25e-05] +[2024-05-26 15:32:34,276] - INFO: Epoch 2731/9999, Iter 273040: Loss = 0.0097569664940238, lr = [1.25e-05] +[2024-05-26 15:33:01,453] - INFO: Epoch 2731/9999, Iter 273080: Loss = 0.012170280329883099, lr = [1.25e-05] +[2024-05-26 15:33:29,982] - INFO: Epoch 2732/9999, Iter 273120: Loss = 0.017880704253911972, lr = [1.25e-05] +[2024-05-26 15:33:57,156] - INFO: Epoch 2732/9999, Iter 273160: Loss = 0.013966023921966553, lr = [1.25e-05] +[2024-05-26 15:34:25,715] - INFO: Epoch 2733/9999, Iter 273200: Loss = 0.015762560069561005, lr = [1.25e-05] +[2024-05-26 15:34:52,987] - INFO: Epoch 2733/9999, Iter 273240: Loss = 0.008358811028301716, lr = [1.25e-05] +[2024-05-26 15:35:20,210] - INFO: Epoch 2733/9999, Iter 273280: Loss = 0.01268089935183525, lr = [1.25e-05] +[2024-05-26 15:35:48,798] - INFO: Epoch 2734/9999, Iter 273320: Loss = 0.008642849512398243, lr = [1.25e-05] +[2024-05-26 15:36:15,972] - INFO: Epoch 2734/9999, Iter 273360: Loss = 0.010703358799219131, lr = [1.25e-05] +[2024-05-26 15:36:44,378] - INFO: Epoch 2735/9999, Iter 273400: Loss = 0.009289336390793324, lr = [1.25e-05] +[2024-05-26 15:37:11,697] - INFO: Epoch 2735/9999, Iter 273440: Loss = 0.014721231535077095, lr = [1.25e-05] +[2024-05-26 15:37:38,845] - INFO: Epoch 2735/9999, Iter 273480: Loss = 0.007077071350067854, lr = [1.25e-05] +[2024-05-26 15:37:52,134] - INFO: Evaluate at epoch 2735! +[2024-05-26 15:37:56,792] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:37:56,792] - INFO: Eval PSNR (current): 38.216 (2735) SSIM (current): 0.9617 (2735) +[2024-05-26 15:37:56,792] - INFO: Evaluation over. +[2024-05-26 15:38:17,520] - INFO: Epoch 2736/9999, Iter 273520: Loss = 0.012179940938949585, lr = [1.25e-05] +[2024-05-26 15:38:44,718] - INFO: Epoch 2736/9999, Iter 273560: Loss = 0.01513636577874422, lr = [1.25e-05] +[2024-05-26 15:39:13,414] - INFO: Epoch 2737/9999, Iter 273600: Loss = 0.010857093147933483, lr = [1.25e-05] +[2024-05-26 15:39:40,668] - INFO: Epoch 2737/9999, Iter 273640: Loss = 0.022630654275417328, lr = [1.25e-05] +[2024-05-26 15:40:07,846] - INFO: Epoch 2737/9999, Iter 273680: Loss = 0.014167129062116146, lr = [1.25e-05] +[2024-05-26 15:40:36,659] - INFO: Epoch 2738/9999, Iter 273720: Loss = 0.010443341918289661, lr = [1.25e-05] +[2024-05-26 15:41:03,926] - INFO: Epoch 2738/9999, Iter 273760: Loss = 0.013516917824745178, lr = [1.25e-05] +[2024-05-26 15:41:32,528] - INFO: Epoch 2739/9999, Iter 273800: Loss = 0.009247872047126293, lr = [1.25e-05] +[2024-05-26 15:41:59,821] - INFO: Epoch 2739/9999, Iter 273840: Loss = 0.0192585326731205, lr = [1.25e-05] +[2024-05-26 15:42:26,972] - INFO: Epoch 2739/9999, Iter 273880: Loss = 0.008198604919016361, lr = [1.25e-05] +[2024-05-26 15:42:55,524] - INFO: Epoch 2740/9999, Iter 273920: Loss = 0.019021883606910706, lr = [1.25e-05] +[2024-05-26 15:43:22,750] - INFO: Epoch 2740/9999, Iter 273960: Loss = 0.005427869502454996, lr = [1.25e-05] +[2024-05-26 15:43:49,621] - INFO: Evaluate at epoch 2740! +[2024-05-26 15:43:54,164] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:43:54,164] - INFO: Eval PSNR (current): 38.189 (2740) SSIM (current): 0.9616 (2740) +[2024-05-26 15:43:54,165] - INFO: Evaluation over. +[2024-05-26 15:44:01,020] - INFO: Epoch 2741/9999, Iter 274000: Loss = 0.01038565393537283, lr = [1.25e-05] +[2024-05-26 15:44:28,330] - INFO: Epoch 2741/9999, Iter 274040: Loss = 0.013457228429615498, lr = [1.25e-05] +[2024-05-26 15:44:57,821] - INFO: Epoch 2741/9999, Iter 274080: Loss = 0.02073252946138382, lr = [1.25e-05] +[2024-05-26 15:45:31,092] - INFO: Epoch 2742/9999, Iter 274120: Loss = 0.011896983720362186, lr = [1.25e-05] +[2024-05-26 15:45:58,374] - INFO: Epoch 2742/9999, Iter 274160: Loss = 0.012082936242222786, lr = [1.25e-05] +[2024-05-26 15:46:29,660] - INFO: Epoch 2743/9999, Iter 274200: Loss = 0.01190318912267685, lr = [1.25e-05] +[2024-05-26 15:46:57,026] - INFO: Epoch 2743/9999, Iter 274240: Loss = 0.011632542125880718, lr = [1.25e-05] +[2024-05-26 15:47:26,023] - INFO: Epoch 2743/9999, Iter 274280: Loss = 0.012107335031032562, lr = [1.25e-05] +[2024-05-26 15:47:54,880] - INFO: Epoch 2744/9999, Iter 274320: Loss = 0.015961160883307457, lr = [1.25e-05] +[2024-05-26 15:48:22,137] - INFO: Epoch 2744/9999, Iter 274360: Loss = 0.016202691942453384, lr = [1.25e-05] +[2024-05-26 15:48:55,644] - INFO: Epoch 2745/9999, Iter 274400: Loss = 0.016795989125967026, lr = [1.25e-05] +[2024-05-26 15:49:23,476] - INFO: Epoch 2745/9999, Iter 274440: Loss = 0.0113780302926898, lr = [1.25e-05] +[2024-05-26 15:49:50,798] - INFO: Epoch 2745/9999, Iter 274480: Loss = 0.01835189200937748, lr = [1.25e-05] +[2024-05-26 15:50:04,111] - INFO: Evaluate at epoch 2745! +[2024-05-26 15:50:09,148] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:50:09,148] - INFO: Eval PSNR (current): 38.210 (2745) SSIM (current): 0.9617 (2745) +[2024-05-26 15:50:09,148] - INFO: Evaluation over. +[2024-05-26 15:50:30,052] - INFO: Epoch 2746/9999, Iter 274520: Loss = 0.009813825599849224, lr = [1.25e-05] +[2024-05-26 15:50:57,310] - INFO: Epoch 2746/9999, Iter 274560: Loss = 0.008071147836744785, lr = [1.25e-05] +[2024-05-26 15:51:25,980] - INFO: Epoch 2747/9999, Iter 274600: Loss = 0.013847744092345238, lr = [1.25e-05] +[2024-05-26 15:51:53,338] - INFO: Epoch 2747/9999, Iter 274640: Loss = 0.009425037540495396, lr = [1.25e-05] +[2024-05-26 15:52:20,546] - INFO: Epoch 2747/9999, Iter 274680: Loss = 0.007724424824118614, lr = [1.25e-05] +[2024-05-26 15:52:49,155] - INFO: Epoch 2748/9999, Iter 274720: Loss = 0.010472948662936687, lr = [1.25e-05] +[2024-05-26 15:53:16,424] - INFO: Epoch 2748/9999, Iter 274760: Loss = 0.014488001354038715, lr = [1.25e-05] +[2024-05-26 15:53:45,158] - INFO: Epoch 2749/9999, Iter 274800: Loss = 0.011970173567533493, lr = [1.25e-05] +[2024-05-26 15:54:12,470] - INFO: Epoch 2749/9999, Iter 274840: Loss = 0.014764170162379742, lr = [1.25e-05] +[2024-05-26 15:54:39,700] - INFO: Epoch 2749/9999, Iter 274880: Loss = 0.01446513831615448, lr = [1.25e-05] +[2024-05-26 15:55:08,406] - INFO: Epoch 2750/9999, Iter 274920: Loss = 0.008697650395333767, lr = [1.25e-05] +[2024-05-26 15:55:35,634] - INFO: Epoch 2750/9999, Iter 274960: Loss = 0.014055585488677025, lr = [1.25e-05] +[2024-05-26 15:56:02,494] - INFO: Evaluate at epoch 2750! +[2024-05-26 15:56:07,350] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:56:07,350] - INFO: Eval PSNR (current): 38.217 (2750) SSIM (current): 0.9616 (2750) +[2024-05-26 15:56:07,350] - INFO: Evaluation over. +[2024-05-26 15:56:14,448] - INFO: Epoch 2751/9999, Iter 275000: Loss = 0.011629314161837101, lr = [1.25e-05] +[2024-05-26 15:56:41,664] - INFO: Epoch 2751/9999, Iter 275040: Loss = 0.01670810952782631, lr = [1.25e-05] +[2024-05-26 15:57:08,834] - INFO: Epoch 2751/9999, Iter 275080: Loss = 0.0197126641869545, lr = [1.25e-05] +[2024-05-26 15:57:37,242] - INFO: Epoch 2752/9999, Iter 275120: Loss = 0.015745792537927628, lr = [1.25e-05] +[2024-05-26 15:58:04,444] - INFO: Epoch 2752/9999, Iter 275160: Loss = 0.011028771288692951, lr = [1.25e-05] +[2024-05-26 15:58:32,962] - INFO: Epoch 2753/9999, Iter 275200: Loss = 0.009475422091782093, lr = [1.25e-05] +[2024-05-26 15:59:00,219] - INFO: Epoch 2753/9999, Iter 275240: Loss = 0.019115576520562172, lr = [1.25e-05] +[2024-05-26 15:59:27,398] - INFO: Epoch 2753/9999, Iter 275280: Loss = 0.007641550153493881, lr = [1.25e-05] +[2024-05-26 15:59:56,179] - INFO: Epoch 2754/9999, Iter 275320: Loss = 0.007895408198237419, lr = [1.25e-05] +[2024-05-26 16:00:23,355] - INFO: Epoch 2754/9999, Iter 275360: Loss = 0.011781266890466213, lr = [1.25e-05] +[2024-05-26 16:00:51,948] - INFO: Epoch 2755/9999, Iter 275400: Loss = 0.014434421434998512, lr = [1.25e-05] +[2024-05-26 16:01:19,282] - INFO: Epoch 2755/9999, Iter 275440: Loss = 0.012103934772312641, lr = [1.25e-05] +[2024-05-26 16:01:46,490] - INFO: Epoch 2755/9999, Iter 275480: Loss = 0.015590242110192776, lr = [1.25e-05] +[2024-05-26 16:01:59,786] - INFO: Evaluate at epoch 2755! +[2024-05-26 16:02:04,657] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:02:04,657] - INFO: Eval PSNR (current): 38.222 (2755) SSIM (current): 0.9617 (2755) +[2024-05-26 16:02:04,657] - INFO: Evaluation over. +[2024-05-26 16:02:25,206] - INFO: Epoch 2756/9999, Iter 275520: Loss = 0.01773129217326641, lr = [1.25e-05] +[2024-05-26 16:02:52,390] - INFO: Epoch 2756/9999, Iter 275560: Loss = 0.01703660376369953, lr = [1.25e-05] +[2024-05-26 16:03:20,871] - INFO: Epoch 2757/9999, Iter 275600: Loss = 0.011132428422570229, lr = [1.25e-05] +[2024-05-26 16:03:48,192] - INFO: Epoch 2757/9999, Iter 275640: Loss = 0.01476405281573534, lr = [1.25e-05] +[2024-05-26 16:04:15,406] - INFO: Epoch 2757/9999, Iter 275680: Loss = 0.01443171314895153, lr = [1.25e-05] +[2024-05-26 16:04:44,202] - INFO: Epoch 2758/9999, Iter 275720: Loss = 0.02022574096918106, lr = [1.25e-05] +[2024-05-26 16:05:11,488] - INFO: Epoch 2758/9999, Iter 275760: Loss = 0.021182818338274956, lr = [1.25e-05] +[2024-05-26 16:05:40,013] - INFO: Epoch 2759/9999, Iter 275800: Loss = 0.019365916028618813, lr = [1.25e-05] +[2024-05-26 16:06:07,342] - INFO: Epoch 2759/9999, Iter 275840: Loss = 0.01682908460497856, lr = [1.25e-05] +[2024-05-26 16:06:34,497] - INFO: Epoch 2759/9999, Iter 275880: Loss = 0.008610803633928299, lr = [1.25e-05] +[2024-05-26 16:07:03,222] - INFO: Epoch 2760/9999, Iter 275920: Loss = 0.017319347709417343, lr = [1.25e-05] +[2024-05-26 16:07:30,422] - INFO: Epoch 2760/9999, Iter 275960: Loss = 0.0192728228867054, lr = [1.25e-05] +[2024-05-26 16:07:57,346] - INFO: Evaluate at epoch 2760! +[2024-05-26 16:08:02,180] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:08:02,180] - INFO: Eval PSNR (current): 38.227 (2760) SSIM (current): 0.9617 (2760) +[2024-05-26 16:08:02,180] - INFO: Evaluation over. +[2024-05-26 16:08:09,244] - INFO: Epoch 2761/9999, Iter 276000: Loss = 0.013161875307559967, lr = [1.25e-05] +[2024-05-26 16:08:36,490] - INFO: Epoch 2761/9999, Iter 276040: Loss = 0.009731708094477654, lr = [1.25e-05] +[2024-05-26 16:09:03,699] - INFO: Epoch 2761/9999, Iter 276080: Loss = 0.013285164721310139, lr = [1.25e-05] +[2024-05-26 16:09:32,401] - INFO: Epoch 2762/9999, Iter 276120: Loss = 0.009670929051935673, lr = [1.25e-05] +[2024-05-26 16:09:59,589] - INFO: Epoch 2762/9999, Iter 276160: Loss = 0.014078237116336823, lr = [1.25e-05] +[2024-05-26 16:10:28,276] - INFO: Epoch 2763/9999, Iter 276200: Loss = 0.020541144534945488, lr = [1.25e-05] +[2024-05-26 16:10:55,518] - INFO: Epoch 2763/9999, Iter 276240: Loss = 0.00924759916961193, lr = [1.25e-05] +[2024-05-26 16:11:22,670] - INFO: Epoch 2763/9999, Iter 276280: Loss = 0.01648477092385292, lr = [1.25e-05] +[2024-05-26 16:11:51,166] - INFO: Epoch 2764/9999, Iter 276320: Loss = 0.0135809276252985, lr = [1.25e-05] +[2024-05-26 16:12:18,382] - INFO: Epoch 2764/9999, Iter 276360: Loss = 0.012321134097874165, lr = [1.25e-05] +[2024-05-26 16:12:46,992] - INFO: Epoch 2765/9999, Iter 276400: Loss = 0.01452687568962574, lr = [1.25e-05] +[2024-05-26 16:13:14,289] - INFO: Epoch 2765/9999, Iter 276440: Loss = 0.010701452381908894, lr = [1.25e-05] +[2024-05-26 16:13:41,426] - INFO: Epoch 2765/9999, Iter 276480: Loss = 0.010856694541871548, lr = [1.25e-05] +[2024-05-26 16:13:54,907] - INFO: Evaluate at epoch 2765! +[2024-05-26 16:13:59,665] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:13:59,666] - INFO: Eval PSNR (current): 38.197 (2765) SSIM (current): 0.9616 (2765) +[2024-05-26 16:13:59,666] - INFO: Evaluation over. +[2024-05-26 16:14:20,633] - INFO: Epoch 2766/9999, Iter 276520: Loss = 0.01979956217110157, lr = [1.25e-05] +[2024-05-26 16:14:47,795] - INFO: Epoch 2766/9999, Iter 276560: Loss = 0.011270147748291492, lr = [1.25e-05] +[2024-05-26 16:15:16,377] - INFO: Epoch 2767/9999, Iter 276600: Loss = 0.007116531953215599, lr = [1.25e-05] +[2024-05-26 16:15:43,602] - INFO: Epoch 2767/9999, Iter 276640: Loss = 0.019496798515319824, lr = [1.25e-05] +[2024-05-26 16:16:10,816] - INFO: Epoch 2767/9999, Iter 276680: Loss = 0.008408688008785248, lr = [1.25e-05] +[2024-05-26 16:16:39,550] - INFO: Epoch 2768/9999, Iter 276720: Loss = 0.014558983966708183, lr = [1.25e-05] +[2024-05-26 16:17:06,782] - INFO: Epoch 2768/9999, Iter 276760: Loss = 0.016492599621415138, lr = [1.25e-05] +[2024-05-26 16:17:35,377] - INFO: Epoch 2769/9999, Iter 276800: Loss = 0.018952272832393646, lr = [1.25e-05] +[2024-05-26 16:18:02,694] - INFO: Epoch 2769/9999, Iter 276840: Loss = 0.015355877578258514, lr = [1.25e-05] +[2024-05-26 16:18:29,967] - INFO: Epoch 2769/9999, Iter 276880: Loss = 0.012881592847406864, lr = [1.25e-05] +[2024-05-26 16:18:58,579] - INFO: Epoch 2770/9999, Iter 276920: Loss = 0.011314880102872849, lr = [1.25e-05] +[2024-05-26 16:19:25,803] - INFO: Epoch 2770/9999, Iter 276960: Loss = 0.019889352843165398, lr = [1.25e-05] +[2024-05-26 16:19:52,686] - INFO: Evaluate at epoch 2770! +[2024-05-26 16:19:57,442] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:19:57,442] - INFO: Eval PSNR (current): 38.231 (2770) SSIM (current): 0.9617 (2770) +[2024-05-26 16:19:57,442] - INFO: Evaluation over. +[2024-05-26 16:20:04,398] - INFO: Epoch 2771/9999, Iter 277000: Loss = 0.017327437177300453, lr = [1.25e-05] +[2024-05-26 16:20:31,773] - INFO: Epoch 2771/9999, Iter 277040: Loss = 0.01624111644923687, lr = [1.25e-05] +[2024-05-26 16:20:59,003] - INFO: Epoch 2771/9999, Iter 277080: Loss = 0.011855524964630604, lr = [1.25e-05] +[2024-05-26 16:21:27,591] - INFO: Epoch 2772/9999, Iter 277120: Loss = 0.006370760966092348, lr = [1.25e-05] +[2024-05-26 16:21:54,797] - INFO: Epoch 2772/9999, Iter 277160: Loss = 0.012753120623528957, lr = [1.25e-05] +[2024-05-26 16:22:23,329] - INFO: Epoch 2773/9999, Iter 277200: Loss = 0.010677828453481197, lr = [1.25e-05] +[2024-05-26 16:22:50,575] - INFO: Epoch 2773/9999, Iter 277240: Loss = 0.008447752334177494, lr = [1.25e-05] +[2024-05-26 16:23:17,830] - INFO: Epoch 2773/9999, Iter 277280: Loss = 0.014341545291244984, lr = [1.25e-05] +[2024-05-26 16:23:46,493] - INFO: Epoch 2774/9999, Iter 277320: Loss = 0.012429502792656422, lr = [1.25e-05] +[2024-05-26 16:24:13,675] - INFO: Epoch 2774/9999, Iter 277360: Loss = 0.009834475815296173, lr = [1.25e-05] +[2024-05-26 16:24:42,193] - INFO: Epoch 2775/9999, Iter 277400: Loss = 0.01995953358709812, lr = [1.25e-05] +[2024-05-26 16:25:09,598] - INFO: Epoch 2775/9999, Iter 277440: Loss = 0.011258185841143131, lr = [1.25e-05] +[2024-05-26 16:25:36,782] - INFO: Epoch 2775/9999, Iter 277480: Loss = 0.012932311743497849, lr = [1.25e-05] +[2024-05-26 16:25:50,071] - INFO: Evaluate at epoch 2775! +[2024-05-26 16:25:54,804] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:25:54,804] - INFO: Eval PSNR (current): 38.216 (2775) SSIM (current): 0.9617 (2775) +[2024-05-26 16:25:54,804] - INFO: Evaluation over. +[2024-05-26 16:26:15,398] - INFO: Epoch 2776/9999, Iter 277520: Loss = 0.010886585339903831, lr = [1.25e-05] +[2024-05-26 16:26:42,626] - INFO: Epoch 2776/9999, Iter 277560: Loss = 0.017314059659838676, lr = [1.25e-05] +[2024-05-26 16:27:11,189] - INFO: Epoch 2777/9999, Iter 277600: Loss = 0.01764603704214096, lr = [1.25e-05] +[2024-05-26 16:27:38,478] - INFO: Epoch 2777/9999, Iter 277640: Loss = 0.017510630190372467, lr = [1.25e-05] +[2024-05-26 16:28:05,670] - INFO: Epoch 2777/9999, Iter 277680: Loss = 0.009037502110004425, lr = [1.25e-05] +[2024-05-26 16:28:34,519] - INFO: Epoch 2778/9999, Iter 277720: Loss = 0.008721754886209965, lr = [1.25e-05] +[2024-05-26 16:29:01,732] - INFO: Epoch 2778/9999, Iter 277760: Loss = 0.01157665066421032, lr = [1.25e-05] +[2024-05-26 16:29:30,492] - INFO: Epoch 2779/9999, Iter 277800: Loss = 0.019368436187505722, lr = [1.25e-05] +[2024-05-26 16:29:57,791] - INFO: Epoch 2779/9999, Iter 277840: Loss = 0.025360168889164925, lr = [1.25e-05] +[2024-05-26 16:30:24,975] - INFO: Epoch 2779/9999, Iter 277880: Loss = 0.018348390236496925, lr = [1.25e-05] +[2024-05-26 16:30:53,673] - INFO: Epoch 2780/9999, Iter 277920: Loss = 0.01821310631930828, lr = [1.25e-05] +[2024-05-26 16:31:20,866] - INFO: Epoch 2780/9999, Iter 277960: Loss = 0.012957647442817688, lr = [1.25e-05] +[2024-05-26 16:31:47,894] - INFO: Evaluate at epoch 2780! +[2024-05-26 16:31:52,707] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:31:52,707] - INFO: Eval PSNR (current): 38.219 (2780) SSIM (current): 0.9617 (2780) +[2024-05-26 16:31:52,707] - INFO: Evaluation over. +[2024-05-26 16:31:59,428] - INFO: Epoch 2781/9999, Iter 278000: Loss = 0.013096759095788002, lr = [1.25e-05] +[2024-05-26 16:32:26,771] - INFO: Epoch 2781/9999, Iter 278040: Loss = 0.015025000087916851, lr = [1.25e-05] +[2024-05-26 16:32:54,000] - INFO: Epoch 2781/9999, Iter 278080: Loss = 0.020057521760463715, lr = [1.25e-05] +[2024-05-26 16:33:22,658] - INFO: Epoch 2782/9999, Iter 278120: Loss = 0.01980343647301197, lr = [1.25e-05] +[2024-05-26 16:33:49,864] - INFO: Epoch 2782/9999, Iter 278160: Loss = 0.01994974911212921, lr = [1.25e-05] +[2024-05-26 16:34:18,596] - INFO: Epoch 2783/9999, Iter 278200: Loss = 0.010947984643280506, lr = [1.25e-05] +[2024-05-26 16:34:45,827] - INFO: Epoch 2783/9999, Iter 278240: Loss = 0.02312936633825302, lr = [1.25e-05] +[2024-05-26 16:35:13,035] - INFO: Epoch 2783/9999, Iter 278280: Loss = 0.015929581597447395, lr = [1.25e-05] +[2024-05-26 16:35:41,741] - INFO: Epoch 2784/9999, Iter 278320: Loss = 0.008998985402286053, lr = [1.25e-05] +[2024-05-26 16:36:08,880] - INFO: Epoch 2784/9999, Iter 278360: Loss = 0.014330033212900162, lr = [1.25e-05] +[2024-05-26 16:36:37,507] - INFO: Epoch 2785/9999, Iter 278400: Loss = 0.013380519114434719, lr = [1.25e-05] +[2024-05-26 16:37:04,886] - INFO: Epoch 2785/9999, Iter 278440: Loss = 0.009482077322900295, lr = [1.25e-05] +[2024-05-26 16:37:31,999] - INFO: Epoch 2785/9999, Iter 278480: Loss = 0.015488226898014545, lr = [1.25e-05] +[2024-05-26 16:37:45,278] - INFO: Evaluate at epoch 2785! +[2024-05-26 16:37:50,066] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:37:50,066] - INFO: Eval PSNR (current): 38.233 (2785) SSIM (current): 0.9617 (2785) +[2024-05-26 16:37:50,066] - INFO: Evaluation over. +[2024-05-26 16:38:10,487] - INFO: Epoch 2786/9999, Iter 278520: Loss = 0.01276844460517168, lr = [1.25e-05] +[2024-05-26 16:38:37,703] - INFO: Epoch 2786/9999, Iter 278560: Loss = 0.02092999592423439, lr = [1.25e-05] +[2024-05-26 16:39:06,226] - INFO: Epoch 2787/9999, Iter 278600: Loss = 0.015144146978855133, lr = [1.25e-05] +[2024-05-26 16:39:33,528] - INFO: Epoch 2787/9999, Iter 278640: Loss = 0.00999744888395071, lr = [1.25e-05] +[2024-05-26 16:40:00,782] - INFO: Epoch 2787/9999, Iter 278680: Loss = 0.01285626646131277, lr = [1.25e-05] +[2024-05-26 16:40:29,582] - INFO: Epoch 2788/9999, Iter 278720: Loss = 0.020340735092759132, lr = [1.25e-05] +[2024-05-26 16:40:56,750] - INFO: Epoch 2788/9999, Iter 278760: Loss = 0.009395104832947254, lr = [1.25e-05] +[2024-05-26 16:41:25,349] - INFO: Epoch 2789/9999, Iter 278800: Loss = 0.012093965895473957, lr = [1.25e-05] +[2024-05-26 16:41:52,637] - INFO: Epoch 2789/9999, Iter 278840: Loss = 0.010687792673707008, lr = [1.25e-05] +[2024-05-26 16:42:19,796] - INFO: Epoch 2789/9999, Iter 278880: Loss = 0.009092097170650959, lr = [1.25e-05] +[2024-05-26 16:42:48,521] - INFO: Epoch 2790/9999, Iter 278920: Loss = 0.010097862221300602, lr = [1.25e-05] +[2024-05-26 16:43:15,662] - INFO: Epoch 2790/9999, Iter 278960: Loss = 0.012584526091814041, lr = [1.25e-05] +[2024-05-26 16:43:42,582] - INFO: Evaluate at epoch 2790! +[2024-05-26 16:43:52,906] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 16:43:52,906] - INFO: Eval PSNR (current): 38.238 (2790) SSIM (current): 0.9617 (2790) +[2024-05-26 16:43:52,906] - INFO: Evaluation over. +[2024-05-26 16:43:59,649] - INFO: Epoch 2791/9999, Iter 279000: Loss = 0.012332789599895477, lr = [1.25e-05] +[2024-05-26 16:44:27,001] - INFO: Epoch 2791/9999, Iter 279040: Loss = 0.02008669450879097, lr = [1.25e-05] +[2024-05-26 16:44:54,198] - INFO: Epoch 2791/9999, Iter 279080: Loss = 0.007131954189389944, lr = [1.25e-05] +[2024-05-26 16:45:22,752] - INFO: Epoch 2792/9999, Iter 279120: Loss = 0.009471860714256763, lr = [1.25e-05] +[2024-05-26 16:45:49,946] - INFO: Epoch 2792/9999, Iter 279160: Loss = 0.009129755198955536, lr = [1.25e-05] +[2024-05-26 16:46:18,385] - INFO: Epoch 2793/9999, Iter 279200: Loss = 0.01298580877482891, lr = [1.25e-05] +[2024-05-26 16:46:45,694] - INFO: Epoch 2793/9999, Iter 279240: Loss = 0.021825216710567474, lr = [1.25e-05] +[2024-05-26 16:47:12,880] - INFO: Epoch 2793/9999, Iter 279280: Loss = 0.016367943957448006, lr = [1.25e-05] +[2024-05-26 16:47:41,430] - INFO: Epoch 2794/9999, Iter 279320: Loss = 0.008918443694710732, lr = [1.25e-05] +[2024-05-26 16:48:08,635] - INFO: Epoch 2794/9999, Iter 279360: Loss = 0.012713886797428131, lr = [1.25e-05] +[2024-05-26 16:48:37,083] - INFO: Epoch 2795/9999, Iter 279400: Loss = 0.01161202508956194, lr = [1.25e-05] +[2024-05-26 16:49:04,385] - INFO: Epoch 2795/9999, Iter 279440: Loss = 0.013247819617390633, lr = [1.25e-05] +[2024-05-26 16:49:31,590] - INFO: Epoch 2795/9999, Iter 279480: Loss = 0.009509297087788582, lr = [1.25e-05] +[2024-05-26 16:49:44,899] - INFO: Evaluate at epoch 2795! +[2024-05-26 16:49:49,659] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 16:49:49,660] - INFO: Eval PSNR (current): 38.230 (2795) SSIM (current): 0.9617 (2795) +[2024-05-26 16:49:49,660] - INFO: Evaluation over. +[2024-05-26 16:50:10,114] - INFO: Epoch 2796/9999, Iter 279520: Loss = 0.0185023732483387, lr = [1.25e-05] +[2024-05-26 16:50:37,295] - INFO: Epoch 2796/9999, Iter 279560: Loss = 0.01473213266581297, lr = [1.25e-05] +[2024-05-26 16:51:05,789] - INFO: Epoch 2797/9999, Iter 279600: Loss = 0.007013820111751556, lr = [1.25e-05] +[2024-05-26 16:51:33,183] - INFO: Epoch 2797/9999, Iter 279640: Loss = 0.007588052656501532, lr = [1.25e-05] +[2024-05-26 16:52:00,443] - INFO: Epoch 2797/9999, Iter 279680: Loss = 0.013183086179196835, lr = [1.25e-05] +[2024-05-26 16:52:29,334] - INFO: Epoch 2798/9999, Iter 279720: Loss = 0.016914211213588715, lr = [1.25e-05] +[2024-05-26 16:52:56,480] - INFO: Epoch 2798/9999, Iter 279760: Loss = 0.011559265665709972, lr = [1.25e-05] +[2024-05-26 16:53:24,954] - INFO: Epoch 2799/9999, Iter 279800: Loss = 0.011050480417907238, lr = [1.25e-05] +[2024-05-26 16:53:52,278] - INFO: Epoch 2799/9999, Iter 279840: Loss = 0.010860011912882328, lr = [1.25e-05] +[2024-05-26 16:54:19,463] - INFO: Epoch 2799/9999, Iter 279880: Loss = 0.00816261675208807, lr = [1.25e-05] +[2024-05-26 16:54:48,151] - INFO: Epoch 2800/9999, Iter 279920: Loss = 0.01086399145424366, lr = [1.25e-05] +[2024-05-26 16:55:15,363] - INFO: Epoch 2800/9999, Iter 279960: Loss = 0.011477724649012089, lr = [1.25e-05] +[2024-05-26 16:55:42,308] - INFO: Evaluate at epoch 2800! +[2024-05-26 16:55:47,143] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 16:55:47,144] - INFO: Eval PSNR (current): 38.222 (2800) SSIM (current): 0.9617 (2800) +[2024-05-26 16:55:47,144] - INFO: Evaluation over. +[2024-05-26 16:55:53,788] - INFO: Epoch 2801/9999, Iter 280000: Loss = 0.00886431336402893, lr = [1.25e-05] +[2024-05-26 16:56:21,071] - INFO: Epoch 2801/9999, Iter 280040: Loss = 0.015167469158768654, lr = [1.25e-05] +[2024-05-26 16:56:48,316] - INFO: Epoch 2801/9999, Iter 280080: Loss = 0.017887910827994347, lr = [1.25e-05] +[2024-05-26 16:57:16,809] - INFO: Epoch 2802/9999, Iter 280120: Loss = 0.015296419151127338, lr = [1.25e-05] +[2024-05-26 16:57:43,955] - INFO: Epoch 2802/9999, Iter 280160: Loss = 0.00924292579293251, lr = [1.25e-05] +[2024-05-26 16:58:12,635] - INFO: Epoch 2803/9999, Iter 280200: Loss = 0.010067062452435493, lr = [1.25e-05] +[2024-05-26 16:58:39,934] - INFO: Epoch 2803/9999, Iter 280240: Loss = 0.011250860057771206, lr = [1.25e-05] +[2024-05-26 16:59:07,137] - INFO: Epoch 2803/9999, Iter 280280: Loss = 0.01772528514266014, lr = [1.25e-05] +[2024-05-26 16:59:35,834] - INFO: Epoch 2804/9999, Iter 280320: Loss = 0.006757562980055809, lr = [1.25e-05] +[2024-05-26 17:00:03,014] - INFO: Epoch 2804/9999, Iter 280360: Loss = 0.014577108435332775, lr = [1.25e-05] +[2024-05-26 17:00:31,545] - INFO: Epoch 2805/9999, Iter 280400: Loss = 0.008189721032977104, lr = [1.25e-05] +[2024-05-26 17:00:58,848] - INFO: Epoch 2805/9999, Iter 280440: Loss = 0.011345203034579754, lr = [1.25e-05] +[2024-05-26 17:01:26,079] - INFO: Epoch 2805/9999, Iter 280480: Loss = 0.012868612073361874, lr = [1.25e-05] +[2024-05-26 17:01:39,376] - INFO: Evaluate at epoch 2805! +[2024-05-26 17:01:44,176] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 17:01:44,176] - INFO: Eval PSNR (current): 38.225 (2805) SSIM (current): 0.9617 (2805) +[2024-05-26 17:01:44,176] - INFO: Evaluation over. +[2024-05-26 17:02:04,779] - INFO: Epoch 2806/9999, Iter 280520: Loss = 0.012720385566353798, lr = [1.25e-05] +[2024-05-26 17:02:31,969] - INFO: Epoch 2806/9999, Iter 280560: Loss = 0.01597338542342186, lr = [1.25e-05] +[2024-05-26 17:03:00,430] - INFO: Epoch 2807/9999, Iter 280600: Loss = 0.02056117355823517, lr = [1.25e-05] +[2024-05-26 17:03:27,784] - INFO: Epoch 2807/9999, Iter 280640: Loss = 0.02359926886856556, lr = [1.25e-05] +[2024-05-26 17:03:55,013] - INFO: Epoch 2807/9999, Iter 280680: Loss = 0.017603345215320587, lr = [1.25e-05] +[2024-05-26 17:04:24,008] - INFO: Epoch 2808/9999, Iter 280720: Loss = 0.005840206518769264, lr = [1.25e-05] +[2024-05-26 17:04:51,162] - INFO: Epoch 2808/9999, Iter 280760: Loss = 0.012926244176924229, lr = [1.25e-05] +[2024-05-26 17:05:19,735] - INFO: Epoch 2809/9999, Iter 280800: Loss = 0.007817976176738739, lr = [1.25e-05] +[2024-05-26 17:05:46,990] - INFO: Epoch 2809/9999, Iter 280840: Loss = 0.006087285932153463, lr = [1.25e-05] +[2024-05-26 17:06:14,178] - INFO: Epoch 2809/9999, Iter 280880: Loss = 0.00881858728826046, lr = [1.25e-05] +[2024-05-26 17:06:42,883] - INFO: Epoch 2810/9999, Iter 280920: Loss = 0.014710593968629837, lr = [1.25e-05] +[2024-05-26 17:07:10,063] - INFO: Epoch 2810/9999, Iter 280960: Loss = 0.011922873556613922, lr = [1.25e-05] +[2024-05-26 17:07:36,970] - INFO: Evaluate at epoch 2810! +[2024-05-26 17:07:41,763] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 17:07:41,763] - INFO: Eval PSNR (current): 38.212 (2810) SSIM (current): 0.9617 (2810) +[2024-05-26 17:07:41,763] - INFO: Evaluation over. +[2024-05-26 17:07:48,633] - INFO: Epoch 2811/9999, Iter 281000: Loss = 0.014859262853860855, lr = [1.25e-05] +[2024-05-26 17:08:15,998] - INFO: Epoch 2811/9999, Iter 281040: Loss = 0.0077893370762467384, lr = [1.25e-05] +[2024-05-26 17:08:43,171] - INFO: Epoch 2811/9999, Iter 281080: Loss = 0.007687708362936974, lr = [1.25e-05] +[2024-05-26 17:09:11,705] - INFO: Epoch 2812/9999, Iter 281120: Loss = 0.012211062014102936, lr = [1.25e-05] +[2024-05-26 17:09:38,946] - INFO: Epoch 2812/9999, Iter 281160: Loss = 0.007574874442070723, lr = [1.25e-05] +[2024-05-26 17:10:07,410] - INFO: Epoch 2813/9999, Iter 281200: Loss = 0.010126875713467598, lr = [1.25e-05] +[2024-05-26 17:10:34,652] - INFO: Epoch 2813/9999, Iter 281240: Loss = 0.016229435801506042, lr = [1.25e-05] +[2024-05-26 17:11:01,850] - INFO: Epoch 2813/9999, Iter 281280: Loss = 0.008386571891605854, lr = [1.25e-05] +[2024-05-26 17:11:30,708] - INFO: Epoch 2814/9999, Iter 281320: Loss = 0.009364691562950611, lr = [1.25e-05] +[2024-05-26 17:11:57,898] - INFO: Epoch 2814/9999, Iter 281360: Loss = 0.012860991060733795, lr = [1.25e-05] +[2024-05-26 17:12:26,396] - INFO: Epoch 2815/9999, Iter 281400: Loss = 0.013029346242547035, lr = [1.25e-05] +[2024-05-26 17:12:53,679] - INFO: Epoch 2815/9999, Iter 281440: Loss = 0.007316630333662033, lr = [1.25e-05] +[2024-05-26 17:13:20,867] - INFO: Epoch 2815/9999, Iter 281480: Loss = 0.008480571210384369, lr = [1.25e-05] +[2024-05-26 17:13:34,191] - INFO: Evaluate at epoch 2815! +[2024-05-26 17:13:38,936] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 17:13:38,936] - INFO: Eval PSNR (current): 38.229 (2815) SSIM (current): 0.9617 (2815) +[2024-05-26 17:13:38,936] - INFO: Evaluation over. +[2024-05-26 17:13:59,448] - INFO: Epoch 2816/9999, Iter 281520: Loss = 0.010624872520565987, lr = [1.25e-05] +[2024-05-26 17:14:26,690] - INFO: Epoch 2816/9999, Iter 281560: Loss = 0.015688205137848854, lr = [1.25e-05] +[2024-05-26 17:14:55,313] - INFO: Epoch 2817/9999, Iter 281600: Loss = 0.014692622236907482, lr = [1.25e-05] +[2024-05-26 17:15:22,603] - INFO: Epoch 2817/9999, Iter 281640: Loss = 0.008097074925899506, lr = [1.25e-05] +[2024-05-26 17:15:49,770] - INFO: Epoch 2817/9999, Iter 281680: Loss = 0.007240711245685816, lr = [1.25e-05] +[2024-05-26 17:16:18,335] - INFO: Epoch 2818/9999, Iter 281720: Loss = 0.012670373544096947, lr = [1.25e-05] +[2024-05-26 17:16:45,537] - INFO: Epoch 2818/9999, Iter 281760: Loss = 0.009801632724702358, lr = [1.25e-05] +[2024-05-26 17:17:14,165] - INFO: Epoch 2819/9999, Iter 281800: Loss = 0.012322681955993176, lr = [1.25e-05] +[2024-05-26 17:17:41,426] - INFO: Epoch 2819/9999, Iter 281840: Loss = 0.01745801977813244, lr = [1.25e-05] +[2024-05-26 17:18:08,635] - INFO: Epoch 2819/9999, Iter 281880: Loss = 0.009885537438094616, lr = [1.25e-05] +[2024-05-26 17:18:37,343] - INFO: Epoch 2820/9999, Iter 281920: Loss = 0.012360840104520321, lr = [1.25e-05] +[2024-05-26 17:19:04,489] - INFO: Epoch 2820/9999, Iter 281960: Loss = 0.012375162914395332, lr = [1.25e-05] +[2024-05-26 17:19:31,364] - INFO: Evaluate at epoch 2820! +[2024-05-26 17:19:41,423] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:19:41,424] - INFO: Eval PSNR (current): 38.212 (2820) SSIM (current): 0.9617 (2820) +[2024-05-26 17:19:41,424] - INFO: Evaluation over. +[2024-05-26 17:19:48,233] - INFO: Epoch 2821/9999, Iter 282000: Loss = 0.009398726746439934, lr = [1.25e-05] +[2024-05-26 17:20:15,466] - INFO: Epoch 2821/9999, Iter 282040: Loss = 0.010664308443665504, lr = [1.25e-05] +[2024-05-26 17:20:42,674] - INFO: Epoch 2821/9999, Iter 282080: Loss = 0.0076326341368258, lr = [1.25e-05] +[2024-05-26 17:21:11,315] - INFO: Epoch 2822/9999, Iter 282120: Loss = 0.010772321373224258, lr = [1.25e-05] +[2024-05-26 17:21:38,551] - INFO: Epoch 2822/9999, Iter 282160: Loss = 0.016497258096933365, lr = [1.25e-05] +[2024-05-26 17:22:07,275] - INFO: Epoch 2823/9999, Iter 282200: Loss = 0.013939703814685345, lr = [1.25e-05] +[2024-05-26 17:22:34,523] - INFO: Epoch 2823/9999, Iter 282240: Loss = 0.015597162768244743, lr = [1.25e-05] +[2024-05-26 17:23:01,719] - INFO: Epoch 2823/9999, Iter 282280: Loss = 0.014678334817290306, lr = [1.25e-05] +[2024-05-26 17:23:30,511] - INFO: Epoch 2824/9999, Iter 282320: Loss = 0.015420584939420223, lr = [1.25e-05] +[2024-05-26 17:23:57,694] - INFO: Epoch 2824/9999, Iter 282360: Loss = 0.008472572080790997, lr = [1.25e-05] +[2024-05-26 17:24:26,276] - INFO: Epoch 2825/9999, Iter 282400: Loss = 0.01474869716912508, lr = [1.25e-05] +[2024-05-26 17:24:53,702] - INFO: Epoch 2825/9999, Iter 282440: Loss = 0.010269363410770893, lr = [1.25e-05] +[2024-05-26 17:25:20,883] - INFO: Epoch 2825/9999, Iter 282480: Loss = 0.009241025894880295, lr = [1.25e-05] +[2024-05-26 17:25:34,162] - INFO: Evaluate at epoch 2825! +[2024-05-26 17:25:39,026] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:25:39,027] - INFO: Eval PSNR (current): 38.211 (2825) SSIM (current): 0.9617 (2825) +[2024-05-26 17:25:39,027] - INFO: Evaluation over. +[2024-05-26 17:25:59,542] - INFO: Epoch 2826/9999, Iter 282520: Loss = 0.016240213066339493, lr = [1.25e-05] +[2024-05-26 17:26:26,737] - INFO: Epoch 2826/9999, Iter 282560: Loss = 0.01512078195810318, lr = [1.25e-05] +[2024-05-26 17:26:55,176] - INFO: Epoch 2827/9999, Iter 282600: Loss = 0.013805287890136242, lr = [1.25e-05] +[2024-05-26 17:27:22,473] - INFO: Epoch 2827/9999, Iter 282640: Loss = 0.012270844541490078, lr = [1.25e-05] +[2024-05-26 17:27:49,650] - INFO: Epoch 2827/9999, Iter 282680: Loss = 0.016250766813755035, lr = [1.25e-05] +[2024-05-26 17:28:18,452] - INFO: Epoch 2828/9999, Iter 282720: Loss = 0.010758903808891773, lr = [1.25e-05] +[2024-05-26 17:28:45,642] - INFO: Epoch 2828/9999, Iter 282760: Loss = 0.017748910933732986, lr = [1.25e-05] +[2024-05-26 17:29:14,471] - INFO: Epoch 2829/9999, Iter 282800: Loss = 0.010334431193768978, lr = [1.25e-05] +[2024-05-26 17:29:41,703] - INFO: Epoch 2829/9999, Iter 282840: Loss = 0.020140064880251884, lr = [1.25e-05] +[2024-05-26 17:30:08,857] - INFO: Epoch 2829/9999, Iter 282880: Loss = 0.011220095679163933, lr = [1.25e-05] +[2024-05-26 17:30:37,502] - INFO: Epoch 2830/9999, Iter 282920: Loss = 0.012360178865492344, lr = [1.25e-05] +[2024-05-26 17:31:04,722] - INFO: Epoch 2830/9999, Iter 282960: Loss = 0.010108930058777332, lr = [1.25e-05] +[2024-05-26 17:31:31,656] - INFO: Evaluate at epoch 2830! +[2024-05-26 17:31:36,480] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:31:36,480] - INFO: Eval PSNR (current): 38.202 (2830) SSIM (current): 0.9617 (2830) +[2024-05-26 17:31:36,480] - INFO: Evaluation over. +[2024-05-26 17:31:43,436] - INFO: Epoch 2831/9999, Iter 283000: Loss = 0.016937807202339172, lr = [1.25e-05] +[2024-05-26 17:32:10,716] - INFO: Epoch 2831/9999, Iter 283040: Loss = 0.012458208948373795, lr = [1.25e-05] +[2024-05-26 17:32:37,905] - INFO: Epoch 2831/9999, Iter 283080: Loss = 0.022806119173765182, lr = [1.25e-05] +[2024-05-26 17:33:06,443] - INFO: Epoch 2832/9999, Iter 283120: Loss = 0.008830529637634754, lr = [1.25e-05] +[2024-05-26 17:33:33,616] - INFO: Epoch 2832/9999, Iter 283160: Loss = 0.01672613061964512, lr = [1.25e-05] +[2024-05-26 17:34:02,179] - INFO: Epoch 2833/9999, Iter 283200: Loss = 0.01179402507841587, lr = [1.25e-05] +[2024-05-26 17:34:29,474] - INFO: Epoch 2833/9999, Iter 283240: Loss = 0.012620876543223858, lr = [1.25e-05] +[2024-05-26 17:34:56,706] - INFO: Epoch 2833/9999, Iter 283280: Loss = 0.00694979727268219, lr = [1.25e-05] +[2024-05-26 17:35:25,358] - INFO: Epoch 2834/9999, Iter 283320: Loss = 0.011619335040450096, lr = [1.25e-05] +[2024-05-26 17:35:52,482] - INFO: Epoch 2834/9999, Iter 283360: Loss = 0.010616939514875412, lr = [1.25e-05] +[2024-05-26 17:36:20,908] - INFO: Epoch 2835/9999, Iter 283400: Loss = 0.02693251334130764, lr = [1.25e-05] +[2024-05-26 17:36:48,255] - INFO: Epoch 2835/9999, Iter 283440: Loss = 0.007625303231179714, lr = [1.25e-05] +[2024-05-26 17:37:15,422] - INFO: Epoch 2835/9999, Iter 283480: Loss = 0.016202915459871292, lr = [1.25e-05] +[2024-05-26 17:37:28,709] - INFO: Evaluate at epoch 2835! +[2024-05-26 17:37:33,616] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:37:33,616] - INFO: Eval PSNR (current): 38.234 (2835) SSIM (current): 0.9617 (2835) +[2024-05-26 17:37:33,616] - INFO: Evaluation over. +[2024-05-26 17:37:54,282] - INFO: Epoch 2836/9999, Iter 283520: Loss = 0.009794753976166248, lr = [1.25e-05] +[2024-05-26 17:38:21,522] - INFO: Epoch 2836/9999, Iter 283560: Loss = 0.010305119678378105, lr = [1.25e-05] +[2024-05-26 17:38:50,176] - INFO: Epoch 2837/9999, Iter 283600: Loss = 0.020256947726011276, lr = [1.25e-05] +[2024-05-26 17:39:17,435] - INFO: Epoch 2837/9999, Iter 283640: Loss = 0.009462163783609867, lr = [1.25e-05] +[2024-05-26 17:39:44,599] - INFO: Epoch 2837/9999, Iter 283680: Loss = 0.008681796491146088, lr = [1.25e-05] +[2024-05-26 17:40:13,474] - INFO: Epoch 2838/9999, Iter 283720: Loss = 0.00818751659244299, lr = [1.25e-05] +[2024-05-26 17:40:40,653] - INFO: Epoch 2838/9999, Iter 283760: Loss = 0.017250046133995056, lr = [1.25e-05] +[2024-05-26 17:41:09,578] - INFO: Epoch 2839/9999, Iter 283800: Loss = 0.018367407843470573, lr = [1.25e-05] +[2024-05-26 17:41:36,815] - INFO: Epoch 2839/9999, Iter 283840: Loss = 0.013626317493617535, lr = [1.25e-05] +[2024-05-26 17:42:03,987] - INFO: Epoch 2839/9999, Iter 283880: Loss = 0.017544742673635483, lr = [1.25e-05] +[2024-05-26 17:42:32,649] - INFO: Epoch 2840/9999, Iter 283920: Loss = 0.009452026337385178, lr = [1.25e-05] +[2024-05-26 17:42:59,855] - INFO: Epoch 2840/9999, Iter 283960: Loss = 0.013517347164452076, lr = [1.25e-05] +[2024-05-26 17:43:26,797] - INFO: Evaluate at epoch 2840! +[2024-05-26 17:43:31,487] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:43:31,487] - INFO: Eval PSNR (current): 38.218 (2840) SSIM (current): 0.9617 (2840) +[2024-05-26 17:43:31,487] - INFO: Evaluation over. +[2024-05-26 17:43:38,412] - INFO: Epoch 2841/9999, Iter 284000: Loss = 0.013331941328942776, lr = [1.25e-05] +[2024-05-26 17:44:05,683] - INFO: Epoch 2841/9999, Iter 284040: Loss = 0.006693430710583925, lr = [1.25e-05] +[2024-05-26 17:44:32,919] - INFO: Epoch 2841/9999, Iter 284080: Loss = 0.014329032972455025, lr = [1.25e-05] +[2024-05-26 17:45:01,742] - INFO: Epoch 2842/9999, Iter 284120: Loss = 0.009474717080593109, lr = [1.25e-05] +[2024-05-26 17:45:28,990] - INFO: Epoch 2842/9999, Iter 284160: Loss = 0.013539372943341732, lr = [1.25e-05] +[2024-05-26 17:45:57,514] - INFO: Epoch 2843/9999, Iter 284200: Loss = 0.012463758699595928, lr = [1.25e-05] +[2024-05-26 17:46:24,744] - INFO: Epoch 2843/9999, Iter 284240: Loss = 0.010695016011595726, lr = [1.25e-05] +[2024-05-26 17:46:51,882] - INFO: Epoch 2843/9999, Iter 284280: Loss = 0.014825484715402126, lr = [1.25e-05] +[2024-05-26 17:47:20,598] - INFO: Epoch 2844/9999, Iter 284320: Loss = 0.00837838463485241, lr = [1.25e-05] +[2024-05-26 17:47:47,767] - INFO: Epoch 2844/9999, Iter 284360: Loss = 0.009444584138691425, lr = [1.25e-05] +[2024-05-26 17:48:16,355] - INFO: Epoch 2845/9999, Iter 284400: Loss = 0.004257057793438435, lr = [1.25e-05] +[2024-05-26 17:48:43,595] - INFO: Epoch 2845/9999, Iter 284440: Loss = 0.009235595352947712, lr = [1.25e-05] +[2024-05-26 17:49:10,751] - INFO: Epoch 2845/9999, Iter 284480: Loss = 0.01086426991969347, lr = [1.25e-05] +[2024-05-26 17:49:24,064] - INFO: Evaluate at epoch 2845! +[2024-05-26 17:49:28,833] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:49:28,833] - INFO: Eval PSNR (current): 38.233 (2845) SSIM (current): 0.9617 (2845) +[2024-05-26 17:49:28,833] - INFO: Evaluation over. +[2024-05-26 17:49:49,268] - INFO: Epoch 2846/9999, Iter 284520: Loss = 0.007713924627751112, lr = [1.25e-05] +[2024-05-26 17:50:16,471] - INFO: Epoch 2846/9999, Iter 284560: Loss = 0.012438531033694744, lr = [1.25e-05] +[2024-05-26 17:50:44,949] - INFO: Epoch 2847/9999, Iter 284600: Loss = 0.018358170986175537, lr = [1.25e-05] +[2024-05-26 17:51:12,222] - INFO: Epoch 2847/9999, Iter 284640: Loss = 0.004912198521196842, lr = [1.25e-05] +[2024-05-26 17:51:39,422] - INFO: Epoch 2847/9999, Iter 284680: Loss = 0.01805197261273861, lr = [1.25e-05] +[2024-05-26 17:52:08,006] - INFO: Epoch 2848/9999, Iter 284720: Loss = 0.007872585207223892, lr = [1.25e-05] +[2024-05-26 17:52:35,207] - INFO: Epoch 2848/9999, Iter 284760: Loss = 0.016414232552051544, lr = [1.25e-05] +[2024-05-26 17:53:03,932] - INFO: Epoch 2849/9999, Iter 284800: Loss = 0.006419877056032419, lr = [1.25e-05] +[2024-05-26 17:53:31,258] - INFO: Epoch 2849/9999, Iter 284840: Loss = 0.01273421198129654, lr = [1.25e-05] +[2024-05-26 17:53:58,406] - INFO: Epoch 2849/9999, Iter 284880: Loss = 0.01574055850505829, lr = [1.25e-05] +[2024-05-26 17:54:26,913] - INFO: Epoch 2850/9999, Iter 284920: Loss = 0.012680212035775185, lr = [1.25e-05] +[2024-05-26 17:54:54,083] - INFO: Epoch 2850/9999, Iter 284960: Loss = 0.013043880462646484, lr = [1.25e-05] +[2024-05-26 17:55:20,970] - INFO: Evaluate at epoch 2850! +[2024-05-26 17:55:25,663] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:55:25,663] - INFO: Eval PSNR (current): 38.196 (2850) SSIM (current): 0.9615 (2850) +[2024-05-26 17:55:25,663] - INFO: Evaluation over. +[2024-05-26 17:55:32,451] - INFO: Epoch 2851/9999, Iter 285000: Loss = 0.01039922796189785, lr = [1.25e-05] +[2024-05-26 17:55:59,754] - INFO: Epoch 2851/9999, Iter 285040: Loss = 0.017476584762334824, lr = [1.25e-05] +[2024-05-26 17:56:26,942] - INFO: Epoch 2851/9999, Iter 285080: Loss = 0.003908293787389994, lr = [1.25e-05] +[2024-05-26 17:56:55,706] - INFO: Epoch 2852/9999, Iter 285120: Loss = 0.021083394065499306, lr = [1.25e-05] +[2024-05-26 17:57:22,932] - INFO: Epoch 2852/9999, Iter 285160: Loss = 0.010845665819942951, lr = [1.25e-05] +[2024-05-26 17:57:51,523] - INFO: Epoch 2853/9999, Iter 285200: Loss = 0.00947299413383007, lr = [1.25e-05] +[2024-05-26 17:58:18,903] - INFO: Epoch 2853/9999, Iter 285240: Loss = 0.014758210629224777, lr = [1.25e-05] +[2024-05-26 17:58:46,099] - INFO: Epoch 2853/9999, Iter 285280: Loss = 0.01320493221282959, lr = [1.25e-05] +[2024-05-26 17:59:14,755] - INFO: Epoch 2854/9999, Iter 285320: Loss = 0.017078768461942673, lr = [1.25e-05] +[2024-05-26 17:59:41,962] - INFO: Epoch 2854/9999, Iter 285360: Loss = 0.012499552220106125, lr = [1.25e-05] +[2024-05-26 18:00:10,579] - INFO: Epoch 2855/9999, Iter 285400: Loss = 0.009665626101195812, lr = [1.25e-05] +[2024-05-26 18:00:37,821] - INFO: Epoch 2855/9999, Iter 285440: Loss = 0.020285943523049355, lr = [1.25e-05] +[2024-05-26 18:01:05,097] - INFO: Epoch 2855/9999, Iter 285480: Loss = 0.006456334143877029, lr = [1.25e-05] +[2024-05-26 18:01:18,392] - INFO: Evaluate at epoch 2855! +[2024-05-26 18:01:28,577] - INFO: Eval PSNR (max): 38.238 (2855) SSIM (max): 0.9617 (2820) +[2024-05-26 18:01:28,577] - INFO: Eval PSNR (current): 38.238 (2855) SSIM (current): 0.9617 (2855) +[2024-05-26 18:01:28,578] - INFO: Evaluation over. +[2024-05-26 18:01:49,034] - INFO: Epoch 2856/9999, Iter 285520: Loss = 0.013888543471693993, lr = [1.25e-05] +[2024-05-26 18:02:16,190] - INFO: Epoch 2856/9999, Iter 285560: Loss = 0.01839500106871128, lr = [1.25e-05] +[2024-05-26 18:02:44,707] - INFO: Epoch 2857/9999, Iter 285600: Loss = 0.016068115830421448, lr = [1.25e-05] +[2024-05-26 18:03:12,066] - INFO: Epoch 2857/9999, Iter 285640: Loss = 0.01903374120593071, lr = [1.25e-05] +[2024-05-26 18:03:39,309] - INFO: Epoch 2857/9999, Iter 285680: Loss = 0.005257694981992245, lr = [1.25e-05] +[2024-05-26 18:04:08,111] - INFO: Epoch 2858/9999, Iter 285720: Loss = 0.012394929304718971, lr = [1.25e-05] +[2024-05-26 18:04:35,388] - INFO: Epoch 2858/9999, Iter 285760: Loss = 0.006704576779156923, lr = [1.25e-05] +[2024-05-26 18:05:03,940] - INFO: Epoch 2859/9999, Iter 285800: Loss = 0.02443617954850197, lr = [1.25e-05] +[2024-05-26 18:05:31,246] - INFO: Epoch 2859/9999, Iter 285840: Loss = 0.014991728588938713, lr = [1.25e-05] +[2024-05-26 18:05:58,456] - INFO: Epoch 2859/9999, Iter 285880: Loss = 0.006919323932379484, lr = [1.25e-05] +[2024-05-26 18:06:27,145] - INFO: Epoch 2860/9999, Iter 285920: Loss = 0.01698816567659378, lr = [1.25e-05] +[2024-05-26 18:06:54,332] - INFO: Epoch 2860/9999, Iter 285960: Loss = 0.01639140024781227, lr = [1.25e-05] +[2024-05-26 18:07:21,206] - INFO: Evaluate at epoch 2860! +[2024-05-26 18:07:36,385] - INFO: Eval PSNR (max): 38.245 (2860) SSIM (max): 0.9618 (2860) +[2024-05-26 18:07:36,385] - INFO: Eval PSNR (current): 38.245 (2860) SSIM (current): 0.9618 (2860) +[2024-05-26 18:07:36,386] - INFO: Evaluation over. +[2024-05-26 18:07:43,156] - INFO: Epoch 2861/9999, Iter 286000: Loss = 0.011850576847791672, lr = [1.25e-05] +[2024-05-26 18:08:10,451] - INFO: Epoch 2861/9999, Iter 286040: Loss = 0.004660275299102068, lr = [1.25e-05] +[2024-05-26 18:08:37,655] - INFO: Epoch 2861/9999, Iter 286080: Loss = 0.01164053101092577, lr = [1.25e-05] +[2024-05-26 18:09:06,314] - INFO: Epoch 2862/9999, Iter 286120: Loss = 0.011180545203387737, lr = [1.25e-05] +[2024-05-26 18:09:33,478] - INFO: Epoch 2862/9999, Iter 286160: Loss = 0.012136607430875301, lr = [1.25e-05] +[2024-05-26 18:10:02,050] - INFO: Epoch 2863/9999, Iter 286200: Loss = 0.015512875281274319, lr = [1.25e-05] +[2024-05-26 18:10:29,238] - INFO: Epoch 2863/9999, Iter 286240: Loss = 0.009562005288898945, lr = [1.25e-05] +[2024-05-26 18:10:56,420] - INFO: Epoch 2863/9999, Iter 286280: Loss = 0.025360584259033203, lr = [1.25e-05] +[2024-05-26 18:11:25,231] - INFO: Epoch 2864/9999, Iter 286320: Loss = 0.009277586825191975, lr = [1.25e-05] +[2024-05-26 18:11:52,510] - INFO: Epoch 2864/9999, Iter 286360: Loss = 0.013329867273569107, lr = [1.25e-05] +[2024-05-26 18:12:20,924] - INFO: Epoch 2865/9999, Iter 286400: Loss = 0.009920189157128334, lr = [1.25e-05] +[2024-05-26 18:12:48,215] - INFO: Epoch 2865/9999, Iter 286440: Loss = 0.009236802347004414, lr = [1.25e-05] +[2024-05-26 18:13:15,411] - INFO: Epoch 2865/9999, Iter 286480: Loss = 0.013236720114946365, lr = [1.25e-05] +[2024-05-26 18:13:28,672] - INFO: Evaluate at epoch 2865! +[2024-05-26 18:13:38,715] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:13:38,715] - INFO: Eval PSNR (current): 38.246 (2865) SSIM (current): 0.9618 (2865) +[2024-05-26 18:13:38,715] - INFO: Evaluation over. +[2024-05-26 18:13:58,984] - INFO: Epoch 2866/9999, Iter 286520: Loss = 0.009203336201608181, lr = [1.25e-05] +[2024-05-26 18:14:26,224] - INFO: Epoch 2866/9999, Iter 286560: Loss = 0.015984870493412018, lr = [1.25e-05] +[2024-05-26 18:14:54,764] - INFO: Epoch 2867/9999, Iter 286600: Loss = 0.012058715336024761, lr = [1.25e-05] +[2024-05-26 18:15:22,038] - INFO: Epoch 2867/9999, Iter 286640: Loss = 0.008738056756556034, lr = [1.25e-05] +[2024-05-26 18:15:49,238] - INFO: Epoch 2867/9999, Iter 286680: Loss = 0.016184819862246513, lr = [1.25e-05] +[2024-05-26 18:16:17,994] - INFO: Epoch 2868/9999, Iter 286720: Loss = 0.015801729634404182, lr = [1.25e-05] +[2024-05-26 18:16:45,262] - INFO: Epoch 2868/9999, Iter 286760: Loss = 0.01471217256039381, lr = [1.25e-05] +[2024-05-26 18:17:13,646] - INFO: Epoch 2869/9999, Iter 286800: Loss = 0.01248976495116949, lr = [1.25e-05] +[2024-05-26 18:17:40,875] - INFO: Epoch 2869/9999, Iter 286840: Loss = 0.01440976932644844, lr = [1.25e-05] +[2024-05-26 18:18:08,110] - INFO: Epoch 2869/9999, Iter 286880: Loss = 0.006885880138725042, lr = [1.25e-05] +[2024-05-26 18:18:36,620] - INFO: Epoch 2870/9999, Iter 286920: Loss = 0.020301196724176407, lr = [1.25e-05] +[2024-05-26 18:19:03,878] - INFO: Epoch 2870/9999, Iter 286960: Loss = 0.01060866191983223, lr = [1.25e-05] +[2024-05-26 18:19:30,715] - INFO: Evaluate at epoch 2870! +[2024-05-26 18:19:35,512] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:19:35,512] - INFO: Eval PSNR (current): 38.243 (2870) SSIM (current): 0.9617 (2870) +[2024-05-26 18:19:35,512] - INFO: Evaluation over. +[2024-05-26 18:19:42,244] - INFO: Epoch 2871/9999, Iter 287000: Loss = 0.01144859567284584, lr = [1.25e-05] +[2024-05-26 18:20:09,653] - INFO: Epoch 2871/9999, Iter 287040: Loss = 0.021769283339381218, lr = [1.25e-05] +[2024-05-26 18:20:36,805] - INFO: Epoch 2871/9999, Iter 287080: Loss = 0.00815552193671465, lr = [1.25e-05] +[2024-05-26 18:21:05,616] - INFO: Epoch 2872/9999, Iter 287120: Loss = 0.016352327540516853, lr = [1.25e-05] +[2024-05-26 18:21:32,784] - INFO: Epoch 2872/9999, Iter 287160: Loss = 0.013514886610209942, lr = [1.25e-05] +[2024-05-26 18:22:01,539] - INFO: Epoch 2873/9999, Iter 287200: Loss = 0.007821718230843544, lr = [1.25e-05] +[2024-05-26 18:22:28,863] - INFO: Epoch 2873/9999, Iter 287240: Loss = 0.003375100903213024, lr = [1.25e-05] +[2024-05-26 18:22:56,039] - INFO: Epoch 2873/9999, Iter 287280: Loss = 0.009509325958788395, lr = [1.25e-05] +[2024-05-26 18:23:24,624] - INFO: Epoch 2874/9999, Iter 287320: Loss = 0.018529141321778297, lr = [1.25e-05] +[2024-05-26 18:23:51,870] - INFO: Epoch 2874/9999, Iter 287360: Loss = 0.012137687765061855, lr = [1.25e-05] +[2024-05-26 18:24:20,535] - INFO: Epoch 2875/9999, Iter 287400: Loss = 0.015072308480739594, lr = [1.25e-05] +[2024-05-26 18:24:47,871] - INFO: Epoch 2875/9999, Iter 287440: Loss = 0.009100747294723988, lr = [1.25e-05] +[2024-05-26 18:25:15,089] - INFO: Epoch 2875/9999, Iter 287480: Loss = 0.00990375131368637, lr = [1.25e-05] +[2024-05-26 18:25:28,359] - INFO: Evaluate at epoch 2875! +[2024-05-26 18:25:33,104] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:25:33,105] - INFO: Eval PSNR (current): 38.239 (2875) SSIM (current): 0.9617 (2875) +[2024-05-26 18:25:33,105] - INFO: Evaluation over. +[2024-05-26 18:25:53,238] - INFO: Epoch 2876/9999, Iter 287520: Loss = 0.011733333580195904, lr = [1.25e-05] +[2024-05-26 18:26:20,451] - INFO: Epoch 2876/9999, Iter 287560: Loss = 0.0073403227142989635, lr = [1.25e-05] +[2024-05-26 18:26:49,049] - INFO: Epoch 2877/9999, Iter 287600: Loss = 0.020022327080368996, lr = [1.25e-05] +[2024-05-26 18:27:16,275] - INFO: Epoch 2877/9999, Iter 287640: Loss = 0.008174191229045391, lr = [1.25e-05] +[2024-05-26 18:27:43,482] - INFO: Epoch 2877/9999, Iter 287680: Loss = 0.011033784598112106, lr = [1.25e-05] +[2024-05-26 18:28:12,350] - INFO: Epoch 2878/9999, Iter 287720: Loss = 0.009321145713329315, lr = [1.25e-05] +[2024-05-26 18:28:39,557] - INFO: Epoch 2878/9999, Iter 287760: Loss = 0.01668793149292469, lr = [1.25e-05] +[2024-05-26 18:29:07,972] - INFO: Epoch 2879/9999, Iter 287800: Loss = 0.013176909647881985, lr = [1.25e-05] +[2024-05-26 18:29:35,249] - INFO: Epoch 2879/9999, Iter 287840: Loss = 0.015066641382873058, lr = [1.25e-05] +[2024-05-26 18:30:02,486] - INFO: Epoch 2879/9999, Iter 287880: Loss = 0.009716709144413471, lr = [1.25e-05] +[2024-05-26 18:30:31,156] - INFO: Epoch 2880/9999, Iter 287920: Loss = 0.012461717240512371, lr = [1.25e-05] +[2024-05-26 18:30:58,385] - INFO: Epoch 2880/9999, Iter 287960: Loss = 0.010714626871049404, lr = [1.25e-05] +[2024-05-26 18:31:25,280] - INFO: Evaluate at epoch 2880! +[2024-05-26 18:31:30,066] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:31:30,067] - INFO: Eval PSNR (current): 38.241 (2880) SSIM (current): 0.9618 (2880) +[2024-05-26 18:31:30,067] - INFO: Evaluation over. +[2024-05-26 18:31:36,948] - INFO: Epoch 2881/9999, Iter 288000: Loss = 0.012488197535276413, lr = [1.25e-05] +[2024-05-26 18:32:04,295] - INFO: Epoch 2881/9999, Iter 288040: Loss = 0.01286960020661354, lr = [1.25e-05] +[2024-05-26 18:32:31,538] - INFO: Epoch 2881/9999, Iter 288080: Loss = 0.013793159276247025, lr = [1.25e-05] +[2024-05-26 18:33:00,258] - INFO: Epoch 2882/9999, Iter 288120: Loss = 0.013128069229424, lr = [1.25e-05] +[2024-05-26 18:33:27,454] - INFO: Epoch 2882/9999, Iter 288160: Loss = 0.01391961146146059, lr = [1.25e-05] +[2024-05-26 18:33:55,911] - INFO: Epoch 2883/9999, Iter 288200: Loss = 0.012914867140352726, lr = [1.25e-05] +[2024-05-26 18:34:23,236] - INFO: Epoch 2883/9999, Iter 288240: Loss = 0.017865143716335297, lr = [1.25e-05] +[2024-05-26 18:34:50,390] - INFO: Epoch 2883/9999, Iter 288280: Loss = 0.014184456318616867, lr = [1.25e-05] +[2024-05-26 18:35:19,333] - INFO: Epoch 2884/9999, Iter 288320: Loss = 0.007394355721771717, lr = [1.25e-05] +[2024-05-26 18:35:46,658] - INFO: Epoch 2884/9999, Iter 288360: Loss = 0.021019015461206436, lr = [1.25e-05] +[2024-05-26 18:36:15,220] - INFO: Epoch 2885/9999, Iter 288400: Loss = 0.014486128464341164, lr = [1.25e-05] +[2024-05-26 18:36:42,556] - INFO: Epoch 2885/9999, Iter 288440: Loss = 0.018593739718198776, lr = [1.25e-05] +[2024-05-26 18:37:09,698] - INFO: Epoch 2885/9999, Iter 288480: Loss = 0.020893989130854607, lr = [1.25e-05] +[2024-05-26 18:37:23,000] - INFO: Evaluate at epoch 2885! +[2024-05-26 18:37:28,114] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:37:28,114] - INFO: Eval PSNR (current): 38.240 (2885) SSIM (current): 0.9617 (2885) +[2024-05-26 18:37:28,114] - INFO: Evaluation over. +[2024-05-26 18:37:48,786] - INFO: Epoch 2886/9999, Iter 288520: Loss = 0.00908490177243948, lr = [1.25e-05] +[2024-05-26 18:38:16,014] - INFO: Epoch 2886/9999, Iter 288560: Loss = 0.010008220560848713, lr = [1.25e-05] +[2024-05-26 18:38:44,515] - INFO: Epoch 2887/9999, Iter 288600: Loss = 0.009034390561282635, lr = [1.25e-05] +[2024-05-26 18:39:11,828] - INFO: Epoch 2887/9999, Iter 288640: Loss = 0.014432156458497047, lr = [1.25e-05] +[2024-05-26 18:39:39,114] - INFO: Epoch 2887/9999, Iter 288680: Loss = 0.013309227302670479, lr = [1.25e-05] +[2024-05-26 18:40:07,656] - INFO: Epoch 2888/9999, Iter 288720: Loss = 0.00912053044885397, lr = [1.25e-05] +[2024-05-26 18:40:34,892] - INFO: Epoch 2888/9999, Iter 288760: Loss = 0.011676058173179626, lr = [1.25e-05] +[2024-05-26 18:41:03,344] - INFO: Epoch 2889/9999, Iter 288800: Loss = 0.019258953630924225, lr = [1.25e-05] +[2024-05-26 18:41:30,642] - INFO: Epoch 2889/9999, Iter 288840: Loss = 0.006939461920410395, lr = [1.25e-05] +[2024-05-26 18:41:57,779] - INFO: Epoch 2889/9999, Iter 288880: Loss = 0.009272219613194466, lr = [1.25e-05] +[2024-05-26 18:42:26,312] - INFO: Epoch 2890/9999, Iter 288920: Loss = 0.009143958799540997, lr = [1.25e-05] +[2024-05-26 18:42:53,494] - INFO: Epoch 2890/9999, Iter 288960: Loss = 0.009405151940882206, lr = [1.25e-05] +[2024-05-26 18:43:20,336] - INFO: Evaluate at epoch 2890! +[2024-05-26 18:43:25,015] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:43:25,015] - INFO: Eval PSNR (current): 38.236 (2890) SSIM (current): 0.9617 (2890) +[2024-05-26 18:43:25,015] - INFO: Evaluation over. +[2024-05-26 18:43:32,012] - INFO: Epoch 2891/9999, Iter 289000: Loss = 0.0067224022932350636, lr = [1.25e-05] +[2024-05-26 18:43:59,262] - INFO: Epoch 2891/9999, Iter 289040: Loss = 0.015429780818521976, lr = [1.25e-05] +[2024-05-26 18:44:26,511] - INFO: Epoch 2891/9999, Iter 289080: Loss = 0.009010669775307178, lr = [1.25e-05] +[2024-05-26 18:44:55,311] - INFO: Epoch 2892/9999, Iter 289120: Loss = 0.007884740829467773, lr = [1.25e-05] +[2024-05-26 18:45:22,650] - INFO: Epoch 2892/9999, Iter 289160: Loss = 0.01262159738689661, lr = [1.25e-05] +[2024-05-26 18:45:51,101] - INFO: Epoch 2893/9999, Iter 289200: Loss = 0.00587671110406518, lr = [1.25e-05] +[2024-05-26 18:46:18,429] - INFO: Epoch 2893/9999, Iter 289240: Loss = 0.014754068106412888, lr = [1.25e-05] +[2024-05-26 18:46:45,711] - INFO: Epoch 2893/9999, Iter 289280: Loss = 0.014988833107054234, lr = [1.25e-05] +[2024-05-26 18:47:14,366] - INFO: Epoch 2894/9999, Iter 289320: Loss = 0.009120692498981953, lr = [1.25e-05] +[2024-05-26 18:47:41,535] - INFO: Epoch 2894/9999, Iter 289360: Loss = 0.016894442960619926, lr = [1.25e-05] +[2024-05-26 18:48:10,056] - INFO: Epoch 2895/9999, Iter 289400: Loss = 0.01500884722918272, lr = [1.25e-05] +[2024-05-26 18:48:37,259] - INFO: Epoch 2895/9999, Iter 289440: Loss = 0.013812078163027763, lr = [1.25e-05] +[2024-05-26 18:49:04,463] - INFO: Epoch 2895/9999, Iter 289480: Loss = 0.01937522366642952, lr = [1.25e-05] +[2024-05-26 18:49:17,747] - INFO: Evaluate at epoch 2895! +[2024-05-26 18:49:22,517] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:49:22,517] - INFO: Eval PSNR (current): 38.215 (2895) SSIM (current): 0.9617 (2895) +[2024-05-26 18:49:22,517] - INFO: Evaluation over. +[2024-05-26 18:49:42,918] - INFO: Epoch 2896/9999, Iter 289520: Loss = 0.01083774957805872, lr = [1.25e-05] +[2024-05-26 18:50:10,157] - INFO: Epoch 2896/9999, Iter 289560: Loss = 0.006086316891014576, lr = [1.25e-05] +[2024-05-26 18:50:38,861] - INFO: Epoch 2897/9999, Iter 289600: Loss = 0.00951977726072073, lr = [1.25e-05] +[2024-05-26 18:51:06,202] - INFO: Epoch 2897/9999, Iter 289640: Loss = 0.008967285044491291, lr = [1.25e-05] +[2024-05-26 18:51:33,367] - INFO: Epoch 2897/9999, Iter 289680: Loss = 0.018558969721198082, lr = [1.25e-05] +[2024-05-26 18:52:02,126] - INFO: Epoch 2898/9999, Iter 289720: Loss = 0.013496963307261467, lr = [1.25e-05] +[2024-05-26 18:52:29,390] - INFO: Epoch 2898/9999, Iter 289760: Loss = 0.013217397034168243, lr = [1.25e-05] +[2024-05-26 18:52:57,953] - INFO: Epoch 2899/9999, Iter 289800: Loss = 0.014464378356933594, lr = [1.25e-05] +[2024-05-26 18:53:25,186] - INFO: Epoch 2899/9999, Iter 289840: Loss = 0.01741844415664673, lr = [1.25e-05] +[2024-05-26 18:53:52,424] - INFO: Epoch 2899/9999, Iter 289880: Loss = 0.01056413259357214, lr = [1.25e-05] +[2024-05-26 18:54:20,932] - INFO: Epoch 2900/9999, Iter 289920: Loss = 0.012823459692299366, lr = [1.25e-05] +[2024-05-26 18:54:48,086] - INFO: Epoch 2900/9999, Iter 289960: Loss = 0.01370221097022295, lr = [1.25e-05] +[2024-05-26 18:55:14,951] - INFO: Evaluate at epoch 2900! +[2024-05-26 18:55:19,769] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:55:19,769] - INFO: Eval PSNR (current): 38.230 (2900) SSIM (current): 0.9617 (2900) +[2024-05-26 18:55:19,769] - INFO: Evaluation over. +[2024-05-26 18:55:26,629] - INFO: Epoch 2901/9999, Iter 290000: Loss = 0.010433168150484562, lr = [1.25e-05] +[2024-05-26 18:55:53,942] - INFO: Epoch 2901/9999, Iter 290040: Loss = 0.018448054790496826, lr = [1.25e-05] +[2024-05-26 18:56:21,125] - INFO: Epoch 2901/9999, Iter 290080: Loss = 0.015282759442925453, lr = [1.25e-05] +[2024-05-26 18:56:49,742] - INFO: Epoch 2902/9999, Iter 290120: Loss = 0.012511182576417923, lr = [1.25e-05] +[2024-05-26 18:57:16,912] - INFO: Epoch 2902/9999, Iter 290160: Loss = 0.011930136941373348, lr = [1.25e-05] +[2024-05-26 18:57:45,640] - INFO: Epoch 2903/9999, Iter 290200: Loss = 0.013145290315151215, lr = [1.25e-05] +[2024-05-26 18:58:12,891] - INFO: Epoch 2903/9999, Iter 290240: Loss = 0.011040860787034035, lr = [1.25e-05] +[2024-05-26 18:58:40,078] - INFO: Epoch 2903/9999, Iter 290280: Loss = 0.010689967311918736, lr = [1.25e-05] +[2024-05-26 18:59:08,875] - INFO: Epoch 2904/9999, Iter 290320: Loss = 0.012523551471531391, lr = [1.25e-05] +[2024-05-26 18:59:36,043] - INFO: Epoch 2904/9999, Iter 290360: Loss = 0.00757344625890255, lr = [1.25e-05] +[2024-05-26 19:00:04,664] - INFO: Epoch 2905/9999, Iter 290400: Loss = 0.008188501931726933, lr = [1.25e-05] +[2024-05-26 19:00:31,896] - INFO: Epoch 2905/9999, Iter 290440: Loss = 0.017406834289431572, lr = [1.25e-05] +[2024-05-26 19:00:59,084] - INFO: Epoch 2905/9999, Iter 290480: Loss = 0.012865640223026276, lr = [1.25e-05] +[2024-05-26 19:01:12,355] - INFO: Evaluate at epoch 2905! +[2024-05-26 19:01:17,145] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 19:01:17,145] - INFO: Eval PSNR (current): 38.239 (2905) SSIM (current): 0.9617 (2905) +[2024-05-26 19:01:17,145] - INFO: Evaluation over. +[2024-05-26 19:01:37,540] - INFO: Epoch 2906/9999, Iter 290520: Loss = 0.018796183168888092, lr = [1.25e-05] +[2024-05-26 19:02:04,735] - INFO: Epoch 2906/9999, Iter 290560: Loss = 0.012215894646942616, lr = [1.25e-05] +[2024-05-26 19:02:33,369] - INFO: Epoch 2907/9999, Iter 290600: Loss = 0.010137297213077545, lr = [1.25e-05] +[2024-05-26 19:03:00,631] - INFO: Epoch 2907/9999, Iter 290640: Loss = 0.01901494897902012, lr = [1.25e-05] +[2024-05-26 19:03:27,819] - INFO: Epoch 2907/9999, Iter 290680: Loss = 0.025128301233053207, lr = [1.25e-05] +[2024-05-26 19:03:56,558] - INFO: Epoch 2908/9999, Iter 290720: Loss = 0.007288778200745583, lr = [1.25e-05] +[2024-05-26 19:04:23,794] - INFO: Epoch 2908/9999, Iter 290760: Loss = 0.008702822029590607, lr = [1.25e-05] +[2024-05-26 19:04:52,112] - INFO: Epoch 2909/9999, Iter 290800: Loss = 0.015099392272531986, lr = [1.25e-05] +[2024-05-26 19:05:19,417] - INFO: Epoch 2909/9999, Iter 290840: Loss = 0.013227878138422966, lr = [1.25e-05] +[2024-05-26 19:05:46,611] - INFO: Epoch 2909/9999, Iter 290880: Loss = 0.006993192248046398, lr = [1.25e-05] +[2024-05-26 19:06:15,354] - INFO: Epoch 2910/9999, Iter 290920: Loss = 0.006976490840315819, lr = [1.25e-05] +[2024-05-26 19:06:42,532] - INFO: Epoch 2910/9999, Iter 290960: Loss = 0.009211871773004532, lr = [1.25e-05] +[2024-05-26 19:07:09,389] - INFO: Evaluate at epoch 2910! +[2024-05-26 19:07:13,981] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 19:07:13,981] - INFO: Eval PSNR (current): 38.228 (2910) SSIM (current): 0.9617 (2910) +[2024-05-26 19:07:13,981] - INFO: Evaluation over. +[2024-05-26 19:07:20,832] - INFO: Epoch 2911/9999, Iter 291000: Loss = 0.017501825466752052, lr = [1.25e-05] +[2024-05-26 19:07:48,207] - INFO: Epoch 2911/9999, Iter 291040: Loss = 0.020022915676236153, lr = [1.25e-05] +[2024-05-26 19:08:15,362] - INFO: Epoch 2911/9999, Iter 291080: Loss = 0.015076648443937302, lr = [1.25e-05] +[2024-05-26 19:08:44,314] - INFO: Epoch 2912/9999, Iter 291120: Loss = 0.011528443545103073, lr = [1.25e-05] +[2024-05-26 19:09:11,490] - INFO: Epoch 2912/9999, Iter 291160: Loss = 0.011473615653812885, lr = [1.25e-05] +[2024-05-26 19:09:40,061] - INFO: Epoch 2913/9999, Iter 291200: Loss = 0.016112180426716805, lr = [1.25e-05] +[2024-05-26 19:10:07,309] - INFO: Epoch 2913/9999, Iter 291240: Loss = 0.011662306264042854, lr = [1.25e-05] +[2024-05-26 19:10:34,535] - INFO: Epoch 2913/9999, Iter 291280: Loss = 0.011016457341611385, lr = [1.25e-05] +[2024-05-26 19:11:03,510] - INFO: Epoch 2914/9999, Iter 291320: Loss = 0.007521691266447306, lr = [1.25e-05] +[2024-05-26 19:11:30,654] - INFO: Epoch 2914/9999, Iter 291360: Loss = 0.018473541364073753, lr = [1.25e-05] +[2024-05-26 19:11:59,144] - INFO: Epoch 2915/9999, Iter 291400: Loss = 0.0139118367806077, lr = [1.25e-05] +[2024-05-26 19:12:26,412] - INFO: Epoch 2915/9999, Iter 291440: Loss = 0.008172799833118916, lr = [1.25e-05] +[2024-05-26 19:12:53,650] - INFO: Epoch 2915/9999, Iter 291480: Loss = 0.017914770171046257, lr = [1.25e-05] +[2024-05-26 19:13:06,989] - INFO: Evaluate at epoch 2915! +[2024-05-26 19:13:11,755] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 19:13:11,755] - INFO: Eval PSNR (current): 38.235 (2915) SSIM (current): 0.9617 (2915) +[2024-05-26 19:13:11,755] - INFO: Evaluation over. +[2024-05-26 19:13:32,121] - INFO: Epoch 2916/9999, Iter 291520: Loss = 0.010886934585869312, lr = [1.25e-05] +[2024-05-26 19:13:59,378] - INFO: Epoch 2916/9999, Iter 291560: Loss = 0.00671061547473073, lr = [1.25e-05] +[2024-05-26 19:14:27,880] - INFO: Epoch 2917/9999, Iter 291600: Loss = 0.011095547117292881, lr = [1.25e-05] +[2024-05-26 19:14:55,140] - INFO: Epoch 2917/9999, Iter 291640: Loss = 0.0133396340534091, lr = [1.25e-05] +[2024-05-26 19:15:22,337] - INFO: Epoch 2917/9999, Iter 291680: Loss = 0.013306625187397003, lr = [1.25e-05] +[2024-05-26 19:15:50,967] - INFO: Epoch 2918/9999, Iter 291720: Loss = 0.010824190452694893, lr = [1.25e-05] +[2024-05-26 19:16:18,166] - INFO: Epoch 2918/9999, Iter 291760: Loss = 0.017404260113835335, lr = [1.25e-05] +[2024-05-26 19:16:46,677] - INFO: Epoch 2919/9999, Iter 291800: Loss = 0.010432646609842777, lr = [1.25e-05] +[2024-05-26 19:17:13,971] - INFO: Epoch 2919/9999, Iter 291840: Loss = 0.0070063150487840176, lr = [1.25e-05] +[2024-05-26 19:17:41,194] - INFO: Epoch 2919/9999, Iter 291880: Loss = 0.013390282168984413, lr = [1.25e-05] +[2024-05-26 19:18:09,874] - INFO: Epoch 2920/9999, Iter 291920: Loss = 0.009822361171245575, lr = [1.25e-05] +[2024-05-26 19:18:36,994] - INFO: Epoch 2920/9999, Iter 291960: Loss = 0.013556597754359245, lr = [1.25e-05] +[2024-05-26 19:19:03,820] - INFO: Evaluate at epoch 2920! +[2024-05-26 19:19:13,854] - INFO: Eval PSNR (max): 38.248 (2920) SSIM (max): 0.9618 (2860) +[2024-05-26 19:19:13,855] - INFO: Eval PSNR (current): 38.248 (2920) SSIM (current): 0.9617 (2920) +[2024-05-26 19:19:13,855] - INFO: Evaluation over. +[2024-05-26 19:19:20,552] - INFO: Epoch 2921/9999, Iter 292000: Loss = 0.007337838411331177, lr = [1.25e-05] +[2024-05-26 19:19:47,831] - INFO: Epoch 2921/9999, Iter 292040: Loss = 0.01573537290096283, lr = [1.25e-05] +[2024-05-26 19:20:14,967] - INFO: Epoch 2921/9999, Iter 292080: Loss = 0.013218715786933899, lr = [1.25e-05] +[2024-05-26 19:20:43,612] - INFO: Epoch 2922/9999, Iter 292120: Loss = 0.011880711652338505, lr = [1.25e-05] +[2024-05-26 19:21:10,814] - INFO: Epoch 2922/9999, Iter 292160: Loss = 0.010288655757904053, lr = [1.25e-05] +[2024-05-26 19:21:39,395] - INFO: Epoch 2923/9999, Iter 292200: Loss = 0.012045381590723991, lr = [1.25e-05] +[2024-05-26 19:22:06,689] - INFO: Epoch 2923/9999, Iter 292240: Loss = 0.012213868089020252, lr = [1.25e-05] +[2024-05-26 19:22:33,884] - INFO: Epoch 2923/9999, Iter 292280: Loss = 0.007945249788463116, lr = [1.25e-05] +[2024-05-26 19:23:02,512] - INFO: Epoch 2924/9999, Iter 292320: Loss = 0.008160371333360672, lr = [1.25e-05] +[2024-05-26 19:23:29,731] - INFO: Epoch 2924/9999, Iter 292360: Loss = 0.011703765019774437, lr = [1.25e-05] +[2024-05-26 19:23:58,242] - INFO: Epoch 2925/9999, Iter 292400: Loss = 0.016728868708014488, lr = [1.25e-05] +[2024-05-26 19:24:25,473] - INFO: Epoch 2925/9999, Iter 292440: Loss = 0.008634345605969429, lr = [1.25e-05] +[2024-05-26 19:24:52,691] - INFO: Epoch 2925/9999, Iter 292480: Loss = 0.014003328047692776, lr = [1.25e-05] +[2024-05-26 19:25:05,974] - INFO: Evaluate at epoch 2925! +[2024-05-26 19:25:10,806] - INFO: Eval PSNR (max): 38.248 (2920) SSIM (max): 0.9618 (2860) +[2024-05-26 19:25:10,806] - INFO: Eval PSNR (current): 38.242 (2925) SSIM (current): 0.9617 (2925) +[2024-05-26 19:25:10,806] - INFO: Evaluation over. +[2024-05-26 19:25:31,213] - INFO: Epoch 2926/9999, Iter 292520: Loss = 0.00943615473806858, lr = [1.25e-05] +[2024-05-26 19:25:58,443] - INFO: Epoch 2926/9999, Iter 292560: Loss = 0.009455950930714607, lr = [1.25e-05] +[2024-05-26 19:26:27,155] - INFO: Epoch 2927/9999, Iter 292600: Loss = 0.0077550676651299, lr = [1.25e-05] +[2024-05-26 19:26:54,486] - INFO: Epoch 2927/9999, Iter 292640: Loss = 0.008487178012728691, lr = [1.25e-05] +[2024-05-26 19:27:21,722] - INFO: Epoch 2927/9999, Iter 292680: Loss = 0.009995710104703903, lr = [1.25e-05] +[2024-05-26 19:27:50,479] - INFO: Epoch 2928/9999, Iter 292720: Loss = 0.010907484218478203, lr = [1.25e-05] +[2024-05-26 19:28:17,654] - INFO: Epoch 2928/9999, Iter 292760: Loss = 0.006221192888915539, lr = [1.25e-05] +[2024-05-26 19:28:46,284] - INFO: Epoch 2929/9999, Iter 292800: Loss = 0.008250687271356583, lr = [1.25e-05] +[2024-05-26 19:29:13,635] - INFO: Epoch 2929/9999, Iter 292840: Loss = 0.011553852818906307, lr = [1.25e-05] +[2024-05-26 19:29:40,874] - INFO: Epoch 2929/9999, Iter 292880: Loss = 0.013673430308699608, lr = [1.25e-05] +[2024-05-26 19:30:09,510] - INFO: Epoch 2930/9999, Iter 292920: Loss = 0.01752476394176483, lr = [1.25e-05] +[2024-05-26 19:30:36,690] - INFO: Epoch 2930/9999, Iter 292960: Loss = 0.012632129713892937, lr = [1.25e-05] +[2024-05-26 19:31:03,574] - INFO: Evaluate at epoch 2930! +[2024-05-26 19:31:08,337] - INFO: Eval PSNR (max): 38.248 (2920) SSIM (max): 0.9618 (2860) +[2024-05-26 19:31:08,337] - INFO: Eval PSNR (current): 38.241 (2930) SSIM (current): 0.9617 (2930) +[2024-05-26 19:31:08,337] - INFO: Evaluation over. +[2024-05-26 19:31:15,264] - INFO: Epoch 2931/9999, Iter 293000: Loss = 0.00909375585615635, lr = [1.25e-05] +[2024-05-26 19:31:42,574] - INFO: Epoch 2931/9999, Iter 293040: Loss = 0.0210842564702034, lr = [1.25e-05] +[2024-05-26 19:32:09,842] - INFO: Epoch 2931/9999, Iter 293080: Loss = 0.008321796543896198, lr = [1.25e-05] +[2024-05-26 19:32:38,528] - INFO: Epoch 2932/9999, Iter 293120: Loss = 0.011997532099485397, lr = [1.25e-05] +[2024-05-26 19:33:05,815] - INFO: Epoch 2932/9999, Iter 293160: Loss = 0.014368793927133083, lr = [1.25e-05] +[2024-05-26 19:33:34,313] - INFO: Epoch 2933/9999, Iter 293200: Loss = 0.013221151195466518, lr = [1.25e-05] +[2024-05-26 19:34:01,542] - INFO: Epoch 2933/9999, Iter 293240: Loss = 0.01053565088659525, lr = [1.25e-05] +[2024-05-26 19:34:28,722] - INFO: Epoch 2933/9999, Iter 293280: Loss = 0.007441479247063398, lr = [1.25e-05] +[2024-05-26 19:34:57,609] - INFO: Epoch 2934/9999, Iter 293320: Loss = 0.009885364212095737, lr = [1.25e-05] +[2024-05-26 19:35:24,834] - INFO: Epoch 2934/9999, Iter 293360: Loss = 0.010954152792692184, lr = [1.25e-05] +[2024-05-26 19:35:53,244] - INFO: Epoch 2935/9999, Iter 293400: Loss = 0.012605673633515835, lr = [1.25e-05] +[2024-05-26 19:36:20,502] - INFO: Epoch 2935/9999, Iter 293440: Loss = 0.016381336376070976, lr = [1.25e-05] +[2024-05-26 19:36:48,650] - INFO: Epoch 2935/9999, Iter 293480: Loss = 0.009208614006638527, lr = [1.25e-05] +[2024-05-26 19:37:05,942] - INFO: Evaluate at epoch 2935! +[2024-05-26 19:37:13,166] - INFO: Eval PSNR (max): 38.248 (2920) SSIM (max): 0.9618 (2860) +[2024-05-26 19:37:13,166] - INFO: Eval PSNR (current): 38.233 (2935) SSIM (current): 0.9617 (2935) +[2024-05-26 19:37:13,166] - INFO: Evaluation over. +[2024-05-26 19:37:40,163] - INFO: Epoch 2936/9999, Iter 293520: Loss = 0.011261822655797005, lr = [1.25e-05] +[2024-05-26 19:38:09,794] - INFO: Epoch 2936/9999, Iter 293560: Loss = 0.006602045614272356, lr = [1.25e-05] +[2024-05-26 19:38:40,420] - INFO: Epoch 2937/9999, Iter 293600: Loss = 0.014069421216845512, lr = [1.25e-05] +[2024-05-26 19:39:07,916] - INFO: Epoch 2937/9999, Iter 293640: Loss = 0.015001912601292133, lr = [1.25e-05] +[2024-05-26 19:39:35,461] - INFO: Epoch 2937/9999, Iter 293680: Loss = 0.014996162615716457, lr = [1.25e-05] +[2024-05-26 19:40:05,346] - INFO: Epoch 2938/9999, Iter 293720: Loss = 0.020248187705874443, lr = [1.25e-05] +[2024-05-26 19:40:33,201] - INFO: Epoch 2938/9999, Iter 293760: Loss = 0.01228583324700594, lr = [1.25e-05] +[2024-05-26 19:41:02,056] - INFO: Epoch 2939/9999, Iter 293800: Loss = 0.009322356432676315, lr = [1.25e-05] +[2024-05-26 19:41:29,472] - INFO: Epoch 2939/9999, Iter 293840: Loss = 0.010809271596372128, lr = [1.25e-05] +[2024-05-26 19:41:56,971] - INFO: Epoch 2939/9999, Iter 293880: Loss = 0.011218934319913387, lr = [1.25e-05] +[2024-05-26 19:42:27,868] - INFO: Epoch 2940/9999, Iter 293920: Loss = 0.006249516736716032, lr = [1.25e-05] +[2024-05-26 19:42:55,191] - INFO: Epoch 2940/9999, Iter 293960: Loss = 0.0112281683832407, lr = [1.25e-05] +[2024-05-26 19:43:23,351] - INFO: Evaluate at epoch 2940! +[2024-05-26 19:43:33,481] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 19:43:33,482] - INFO: Eval PSNR (current): 38.248 (2940) SSIM (current): 0.9617 (2940) +[2024-05-26 19:43:33,482] - INFO: Evaluation over. +[2024-05-26 19:43:40,193] - INFO: Epoch 2941/9999, Iter 294000: Loss = 0.01533733494579792, lr = [1.25e-05] +[2024-05-26 19:44:07,988] - INFO: Epoch 2941/9999, Iter 294040: Loss = 0.01249043270945549, lr = [1.25e-05] +[2024-05-26 19:44:35,326] - INFO: Epoch 2941/9999, Iter 294080: Loss = 0.012718381360173225, lr = [1.25e-05] +[2024-05-26 19:45:07,580] - INFO: Epoch 2942/9999, Iter 294120: Loss = 0.013965207152068615, lr = [1.25e-05] +[2024-05-26 19:45:34,777] - INFO: Epoch 2942/9999, Iter 294160: Loss = 0.01685473695397377, lr = [1.25e-05] +[2024-05-26 19:46:03,308] - INFO: Epoch 2943/9999, Iter 294200: Loss = 0.01307707279920578, lr = [1.25e-05] +[2024-05-26 19:46:30,558] - INFO: Epoch 2943/9999, Iter 294240: Loss = 0.012938689440488815, lr = [1.25e-05] +[2024-05-26 19:46:57,786] - INFO: Epoch 2943/9999, Iter 294280: Loss = 0.00924474373459816, lr = [1.25e-05] +[2024-05-26 19:47:26,539] - INFO: Epoch 2944/9999, Iter 294320: Loss = 0.012487572617828846, lr = [1.25e-05] +[2024-05-26 19:47:53,711] - INFO: Epoch 2944/9999, Iter 294360: Loss = 0.011577974073588848, lr = [1.25e-05] +[2024-05-26 19:48:22,302] - INFO: Epoch 2945/9999, Iter 294400: Loss = 0.009801268577575684, lr = [1.25e-05] +[2024-05-26 19:48:49,594] - INFO: Epoch 2945/9999, Iter 294440: Loss = 0.013627145439386368, lr = [1.25e-05] +[2024-05-26 19:49:16,802] - INFO: Epoch 2945/9999, Iter 294480: Loss = 0.015060054138302803, lr = [1.25e-05] +[2024-05-26 19:49:30,087] - INFO: Evaluate at epoch 2945! +[2024-05-26 19:49:34,669] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 19:49:34,669] - INFO: Eval PSNR (current): 38.239 (2945) SSIM (current): 0.9617 (2945) +[2024-05-26 19:49:34,669] - INFO: Evaluation over. +[2024-05-26 19:49:55,420] - INFO: Epoch 2946/9999, Iter 294520: Loss = 0.010703257285058498, lr = [1.25e-05] +[2024-05-26 19:50:22,642] - INFO: Epoch 2946/9999, Iter 294560: Loss = 0.017133628949522972, lr = [1.25e-05] +[2024-05-26 19:50:51,280] - INFO: Epoch 2947/9999, Iter 294600: Loss = 0.013296786695718765, lr = [1.25e-05] +[2024-05-26 19:51:18,622] - INFO: Epoch 2947/9999, Iter 294640: Loss = 0.026483239606022835, lr = [1.25e-05] +[2024-05-26 19:51:45,791] - INFO: Epoch 2947/9999, Iter 294680: Loss = 0.010961157269775867, lr = [1.25e-05] +[2024-05-26 19:52:14,578] - INFO: Epoch 2948/9999, Iter 294720: Loss = 0.019979283213615417, lr = [1.25e-05] +[2024-05-26 19:52:41,816] - INFO: Epoch 2948/9999, Iter 294760: Loss = 0.021962877362966537, lr = [1.25e-05] +[2024-05-26 19:53:10,297] - INFO: Epoch 2949/9999, Iter 294800: Loss = 0.006787786725908518, lr = [1.25e-05] +[2024-05-26 19:53:37,601] - INFO: Epoch 2949/9999, Iter 294840: Loss = 0.016198858618736267, lr = [1.25e-05] +[2024-05-26 19:54:04,818] - INFO: Epoch 2949/9999, Iter 294880: Loss = 0.006699242163449526, lr = [1.25e-05] +[2024-05-26 19:54:33,455] - INFO: Epoch 2950/9999, Iter 294920: Loss = 0.014105836860835552, lr = [1.25e-05] +[2024-05-26 19:55:00,678] - INFO: Epoch 2950/9999, Iter 294960: Loss = 0.007490333169698715, lr = [1.25e-05] +[2024-05-26 19:55:27,648] - INFO: Evaluate at epoch 2950! +[2024-05-26 19:55:32,196] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 19:55:32,197] - INFO: Eval PSNR (current): 38.225 (2950) SSIM (current): 0.9616 (2950) +[2024-05-26 19:55:32,197] - INFO: Evaluation over. +[2024-05-26 19:55:38,920] - INFO: Epoch 2951/9999, Iter 295000: Loss = 0.004743875004351139, lr = [1.25e-05] +[2024-05-26 19:56:06,227] - INFO: Epoch 2951/9999, Iter 295040: Loss = 0.012741906568408012, lr = [1.25e-05] +[2024-05-26 19:56:33,466] - INFO: Epoch 2951/9999, Iter 295080: Loss = 0.00460819061845541, lr = [1.25e-05] +[2024-05-26 19:57:02,188] - INFO: Epoch 2952/9999, Iter 295120: Loss = 0.012014859355986118, lr = [1.25e-05] +[2024-05-26 19:57:29,411] - INFO: Epoch 2952/9999, Iter 295160: Loss = 0.009261475875973701, lr = [1.25e-05] +[2024-05-26 19:57:58,128] - INFO: Epoch 2953/9999, Iter 295200: Loss = 0.009793168865144253, lr = [1.25e-05] +[2024-05-26 19:58:25,465] - INFO: Epoch 2953/9999, Iter 295240: Loss = 0.017402024939656258, lr = [1.25e-05] +[2024-05-26 19:58:52,658] - INFO: Epoch 2953/9999, Iter 295280: Loss = 0.014185910113155842, lr = [1.25e-05] +[2024-05-26 19:59:21,302] - INFO: Epoch 2954/9999, Iter 295320: Loss = 0.0071174888871610165, lr = [1.25e-05] +[2024-05-26 19:59:48,506] - INFO: Epoch 2954/9999, Iter 295360: Loss = 0.014356723986566067, lr = [1.25e-05] +[2024-05-26 20:00:17,280] - INFO: Epoch 2955/9999, Iter 295400: Loss = 0.009954280219972134, lr = [1.25e-05] +[2024-05-26 20:00:44,605] - INFO: Epoch 2955/9999, Iter 295440: Loss = 0.014149203896522522, lr = [1.25e-05] +[2024-05-26 20:01:11,769] - INFO: Epoch 2955/9999, Iter 295480: Loss = 0.01349351555109024, lr = [1.25e-05] +[2024-05-26 20:01:25,074] - INFO: Evaluate at epoch 2955! +[2024-05-26 20:01:29,621] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:01:29,621] - INFO: Eval PSNR (current): 38.222 (2955) SSIM (current): 0.9617 (2955) +[2024-05-26 20:01:29,621] - INFO: Evaluation over. +[2024-05-26 20:01:50,054] - INFO: Epoch 2956/9999, Iter 295520: Loss = 0.016315104439854622, lr = [1.25e-05] +[2024-05-26 20:02:17,258] - INFO: Epoch 2956/9999, Iter 295560: Loss = 0.01449089776724577, lr = [1.25e-05] +[2024-05-26 20:02:45,902] - INFO: Epoch 2957/9999, Iter 295600: Loss = 0.017481351271271706, lr = [1.25e-05] +[2024-05-26 20:03:13,199] - INFO: Epoch 2957/9999, Iter 295640: Loss = 0.008628754876554012, lr = [1.25e-05] +[2024-05-26 20:03:40,376] - INFO: Epoch 2957/9999, Iter 295680: Loss = 0.007643546909093857, lr = [1.25e-05] +[2024-05-26 20:04:08,940] - INFO: Epoch 2958/9999, Iter 295720: Loss = 0.016099724918603897, lr = [1.25e-05] +[2024-05-26 20:04:36,114] - INFO: Epoch 2958/9999, Iter 295760: Loss = 0.022540926933288574, lr = [1.25e-05] +[2024-05-26 20:05:04,765] - INFO: Epoch 2959/9999, Iter 295800: Loss = 0.007903001271188259, lr = [1.25e-05] +[2024-05-26 20:05:32,092] - INFO: Epoch 2959/9999, Iter 295840: Loss = 0.008991220965981483, lr = [1.25e-05] +[2024-05-26 20:05:59,276] - INFO: Epoch 2959/9999, Iter 295880: Loss = 0.017231183126568794, lr = [1.25e-05] +[2024-05-26 20:06:28,179] - INFO: Epoch 2960/9999, Iter 295920: Loss = 0.013666462153196335, lr = [1.25e-05] +[2024-05-26 20:06:55,386] - INFO: Epoch 2960/9999, Iter 295960: Loss = 0.012984711676836014, lr = [1.25e-05] +[2024-05-26 20:07:22,273] - INFO: Evaluate at epoch 2960! +[2024-05-26 20:07:26,962] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:07:26,962] - INFO: Eval PSNR (current): 38.214 (2960) SSIM (current): 0.9616 (2960) +[2024-05-26 20:07:26,962] - INFO: Evaluation over. +[2024-05-26 20:07:33,756] - INFO: Epoch 2961/9999, Iter 296000: Loss = 0.01210852898657322, lr = [1.25e-05] +[2024-05-26 20:08:01,066] - INFO: Epoch 2961/9999, Iter 296040: Loss = 0.007456599734723568, lr = [1.25e-05] +[2024-05-26 20:08:28,254] - INFO: Epoch 2961/9999, Iter 296080: Loss = 0.01785214990377426, lr = [1.25e-05] +[2024-05-26 20:08:56,950] - INFO: Epoch 2962/9999, Iter 296120: Loss = 0.011568990536034107, lr = [1.25e-05] +[2024-05-26 20:09:24,152] - INFO: Epoch 2962/9999, Iter 296160: Loss = 0.012630818411707878, lr = [1.25e-05] +[2024-05-26 20:09:52,669] - INFO: Epoch 2963/9999, Iter 296200: Loss = 0.009125390090048313, lr = [1.25e-05] +[2024-05-26 20:10:19,919] - INFO: Epoch 2963/9999, Iter 296240: Loss = 0.009482252411544323, lr = [1.25e-05] +[2024-05-26 20:10:47,169] - INFO: Epoch 2963/9999, Iter 296280: Loss = 0.009364793077111244, lr = [1.25e-05] +[2024-05-26 20:11:15,738] - INFO: Epoch 2964/9999, Iter 296320: Loss = 0.015501182526350021, lr = [1.25e-05] +[2024-05-26 20:11:42,946] - INFO: Epoch 2964/9999, Iter 296360: Loss = 0.006391056813299656, lr = [1.25e-05] +[2024-05-26 20:12:11,361] - INFO: Epoch 2965/9999, Iter 296400: Loss = 0.007700874004513025, lr = [1.25e-05] +[2024-05-26 20:12:38,633] - INFO: Epoch 2965/9999, Iter 296440: Loss = 0.011816791258752346, lr = [1.25e-05] +[2024-05-26 20:13:05,836] - INFO: Epoch 2965/9999, Iter 296480: Loss = 0.01007639616727829, lr = [1.25e-05] +[2024-05-26 20:13:19,131] - INFO: Evaluate at epoch 2965! +[2024-05-26 20:13:23,766] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:13:23,766] - INFO: Eval PSNR (current): 38.217 (2965) SSIM (current): 0.9617 (2965) +[2024-05-26 20:13:23,766] - INFO: Evaluation over. +[2024-05-26 20:13:44,200] - INFO: Epoch 2966/9999, Iter 296520: Loss = 0.014297939836978912, lr = [1.25e-05] +[2024-05-26 20:14:11,361] - INFO: Epoch 2966/9999, Iter 296560: Loss = 0.018592463806271553, lr = [1.25e-05] +[2024-05-26 20:14:39,956] - INFO: Epoch 2967/9999, Iter 296600: Loss = 0.017907217144966125, lr = [1.25e-05] +[2024-05-26 20:15:07,335] - INFO: Epoch 2967/9999, Iter 296640: Loss = 0.017040135338902473, lr = [1.25e-05] +[2024-05-26 20:15:34,553] - INFO: Epoch 2967/9999, Iter 296680: Loss = 0.007232340518385172, lr = [1.25e-05] +[2024-05-26 20:16:03,115] - INFO: Epoch 2968/9999, Iter 296720: Loss = 0.01726726070046425, lr = [1.25e-05] +[2024-05-26 20:16:30,299] - INFO: Epoch 2968/9999, Iter 296760: Loss = 0.011820113286376, lr = [1.25e-05] +[2024-05-26 20:16:58,937] - INFO: Epoch 2969/9999, Iter 296800: Loss = 0.009500815533101559, lr = [1.25e-05] +[2024-05-26 20:17:26,163] - INFO: Epoch 2969/9999, Iter 296840: Loss = 0.015281562693417072, lr = [1.25e-05] +[2024-05-26 20:17:53,332] - INFO: Epoch 2969/9999, Iter 296880: Loss = 0.0136159872636199, lr = [1.25e-05] +[2024-05-26 20:18:22,115] - INFO: Epoch 2970/9999, Iter 296920: Loss = 0.009183301590383053, lr = [1.25e-05] +[2024-05-26 20:18:49,329] - INFO: Epoch 2970/9999, Iter 296960: Loss = 0.014806951396167278, lr = [1.25e-05] +[2024-05-26 20:19:16,209] - INFO: Evaluate at epoch 2970! +[2024-05-26 20:19:20,709] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:19:20,709] - INFO: Eval PSNR (current): 38.230 (2970) SSIM (current): 0.9617 (2970) +[2024-05-26 20:19:20,709] - INFO: Evaluation over. +[2024-05-26 20:19:27,717] - INFO: Epoch 2971/9999, Iter 297000: Loss = 0.009076838381588459, lr = [1.25e-05] +[2024-05-26 20:19:55,047] - INFO: Epoch 2971/9999, Iter 297040: Loss = 0.012917031534016132, lr = [1.25e-05] +[2024-05-26 20:20:22,299] - INFO: Epoch 2971/9999, Iter 297080: Loss = 0.011125755496323109, lr = [1.25e-05] +[2024-05-26 20:20:50,833] - INFO: Epoch 2972/9999, Iter 297120: Loss = 0.01658381149172783, lr = [1.25e-05] +[2024-05-26 20:21:18,091] - INFO: Epoch 2972/9999, Iter 297160: Loss = 0.014242028817534447, lr = [1.25e-05] +[2024-05-26 20:21:46,605] - INFO: Epoch 2973/9999, Iter 297200: Loss = 0.013623608276247978, lr = [1.25e-05] +[2024-05-26 20:22:13,869] - INFO: Epoch 2973/9999, Iter 297240: Loss = 0.008998014032840729, lr = [1.25e-05] +[2024-05-26 20:22:41,089] - INFO: Epoch 2973/9999, Iter 297280: Loss = 0.010411446914076805, lr = [1.25e-05] +[2024-05-26 20:23:09,887] - INFO: Epoch 2974/9999, Iter 297320: Loss = 0.014812790788710117, lr = [1.25e-05] +[2024-05-26 20:23:37,058] - INFO: Epoch 2974/9999, Iter 297360: Loss = 0.006202745251357555, lr = [1.25e-05] +[2024-05-26 20:24:05,709] - INFO: Epoch 2975/9999, Iter 297400: Loss = 0.004834004212170839, lr = [1.25e-05] +[2024-05-26 20:24:32,933] - INFO: Epoch 2975/9999, Iter 297440: Loss = 0.013765211217105389, lr = [1.25e-05] +[2024-05-26 20:25:00,140] - INFO: Epoch 2975/9999, Iter 297480: Loss = 0.008113552816212177, lr = [1.25e-05] +[2024-05-26 20:25:13,471] - INFO: Evaluate at epoch 2975! +[2024-05-26 20:25:18,196] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:25:18,196] - INFO: Eval PSNR (current): 38.230 (2975) SSIM (current): 0.9617 (2975) +[2024-05-26 20:25:18,196] - INFO: Evaluation over. +[2024-05-26 20:25:38,766] - INFO: Epoch 2976/9999, Iter 297520: Loss = 0.009104562923312187, lr = [1.25e-05] +[2024-05-26 20:26:05,894] - INFO: Epoch 2976/9999, Iter 297560: Loss = 0.011824451386928558, lr = [1.25e-05] +[2024-05-26 20:26:34,501] - INFO: Epoch 2977/9999, Iter 297600: Loss = 0.010758733376860619, lr = [1.25e-05] +[2024-05-26 20:27:01,818] - INFO: Epoch 2977/9999, Iter 297640: Loss = 0.01348334550857544, lr = [1.25e-05] +[2024-05-26 20:27:29,058] - INFO: Epoch 2977/9999, Iter 297680: Loss = 0.01024808268994093, lr = [1.25e-05] +[2024-05-26 20:27:57,508] - INFO: Epoch 2978/9999, Iter 297720: Loss = 0.013069945387542248, lr = [1.25e-05] +[2024-05-26 20:28:24,703] - INFO: Epoch 2978/9999, Iter 297760: Loss = 0.01978759840130806, lr = [1.25e-05] +[2024-05-26 20:28:53,596] - INFO: Epoch 2979/9999, Iter 297800: Loss = 0.010978363454341888, lr = [1.25e-05] +[2024-05-26 20:29:20,907] - INFO: Epoch 2979/9999, Iter 297840: Loss = 0.012735222466289997, lr = [1.25e-05] +[2024-05-26 20:29:48,059] - INFO: Epoch 2979/9999, Iter 297880: Loss = 0.00963167566806078, lr = [1.25e-05] +[2024-05-26 20:30:16,597] - INFO: Epoch 2980/9999, Iter 297920: Loss = 0.012126600369811058, lr = [1.25e-05] +[2024-05-26 20:30:43,740] - INFO: Epoch 2980/9999, Iter 297960: Loss = 0.015211456455290318, lr = [1.25e-05] +[2024-05-26 20:31:10,626] - INFO: Evaluate at epoch 2980! +[2024-05-26 20:31:15,249] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:31:15,249] - INFO: Eval PSNR (current): 38.226 (2980) SSIM (current): 0.9617 (2980) +[2024-05-26 20:31:15,249] - INFO: Evaluation over. +[2024-05-26 20:31:22,072] - INFO: Epoch 2981/9999, Iter 298000: Loss = 0.007076045032590628, lr = [1.25e-05] +[2024-05-26 20:31:49,456] - INFO: Epoch 2981/9999, Iter 298040: Loss = 0.009858031757175922, lr = [1.25e-05] +[2024-05-26 20:32:16,634] - INFO: Epoch 2981/9999, Iter 298080: Loss = 0.021073566749691963, lr = [1.25e-05] +[2024-05-26 20:32:45,346] - INFO: Epoch 2982/9999, Iter 298120: Loss = 0.026530280709266663, lr = [1.25e-05] +[2024-05-26 20:33:12,511] - INFO: Epoch 2982/9999, Iter 298160: Loss = 0.008787854574620724, lr = [1.25e-05] +[2024-05-26 20:33:41,223] - INFO: Epoch 2983/9999, Iter 298200: Loss = 0.017579535022377968, lr = [1.25e-05] +[2024-05-26 20:34:08,450] - INFO: Epoch 2983/9999, Iter 298240: Loss = 0.009510193951427937, lr = [1.25e-05] +[2024-05-26 20:34:35,654] - INFO: Epoch 2983/9999, Iter 298280: Loss = 0.010513302870094776, lr = [1.25e-05] +[2024-05-26 20:35:04,480] - INFO: Epoch 2984/9999, Iter 298320: Loss = 0.013269426301121712, lr = [1.25e-05] +[2024-05-26 20:35:31,695] - INFO: Epoch 2984/9999, Iter 298360: Loss = 0.018939247354865074, lr = [1.25e-05] +[2024-05-26 20:36:00,325] - INFO: Epoch 2985/9999, Iter 298400: Loss = 0.011914679780602455, lr = [1.25e-05] +[2024-05-26 20:36:27,623] - INFO: Epoch 2985/9999, Iter 298440: Loss = 0.007695512846112251, lr = [1.25e-05] +[2024-05-26 20:36:54,776] - INFO: Epoch 2985/9999, Iter 298480: Loss = 0.013182089664041996, lr = [1.25e-05] +[2024-05-26 20:37:08,090] - INFO: Evaluate at epoch 2985! +[2024-05-26 20:37:12,685] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:37:12,685] - INFO: Eval PSNR (current): 38.227 (2985) SSIM (current): 0.9616 (2985) +[2024-05-26 20:37:12,685] - INFO: Evaluation over. +[2024-05-26 20:37:33,234] - INFO: Epoch 2986/9999, Iter 298520: Loss = 0.01181690115481615, lr = [1.25e-05] +[2024-05-26 20:38:00,502] - INFO: Epoch 2986/9999, Iter 298560: Loss = 0.00976678915321827, lr = [1.25e-05] +[2024-05-26 20:38:29,071] - INFO: Epoch 2987/9999, Iter 298600: Loss = 0.010531703941524029, lr = [1.25e-05] +[2024-05-26 20:38:56,383] - INFO: Epoch 2987/9999, Iter 298640: Loss = 0.013059914112091064, lr = [1.25e-05] +[2024-05-26 20:39:23,534] - INFO: Epoch 2987/9999, Iter 298680: Loss = 0.014412710443139076, lr = [1.25e-05] +[2024-05-26 20:39:52,260] - INFO: Epoch 2988/9999, Iter 298720: Loss = 0.012715017423033714, lr = [1.25e-05] +[2024-05-26 20:40:19,429] - INFO: Epoch 2988/9999, Iter 298760: Loss = 0.012550215236842632, lr = [1.25e-05] +[2024-05-26 20:40:47,792] - INFO: Epoch 2989/9999, Iter 298800: Loss = 0.014930294826626778, lr = [1.25e-05] +[2024-05-26 20:41:15,094] - INFO: Epoch 2989/9999, Iter 298840: Loss = 0.019833432510495186, lr = [1.25e-05] +[2024-05-26 20:41:42,334] - INFO: Epoch 2989/9999, Iter 298880: Loss = 0.012080793268978596, lr = [1.25e-05] +[2024-05-26 20:42:10,919] - INFO: Epoch 2990/9999, Iter 298920: Loss = 0.012845490127801895, lr = [1.25e-05] +[2024-05-26 20:42:38,090] - INFO: Epoch 2990/9999, Iter 298960: Loss = 0.01671118289232254, lr = [1.25e-05] +[2024-05-26 20:43:04,944] - INFO: Evaluate at epoch 2990! +[2024-05-26 20:43:09,641] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:43:09,641] - INFO: Eval PSNR (current): 38.219 (2990) SSIM (current): 0.9616 (2990) +[2024-05-26 20:43:09,641] - INFO: Evaluation over. +[2024-05-26 20:43:16,597] - INFO: Epoch 2991/9999, Iter 299000: Loss = 0.012537925504148006, lr = [1.25e-05] +[2024-05-26 20:43:43,804] - INFO: Epoch 2991/9999, Iter 299040: Loss = 0.014826434664428234, lr = [1.25e-05] +[2024-05-26 20:44:11,014] - INFO: Epoch 2991/9999, Iter 299080: Loss = 0.009486593306064606, lr = [1.25e-05] +[2024-05-26 20:44:39,555] - INFO: Epoch 2992/9999, Iter 299120: Loss = 0.019429344683885574, lr = [1.25e-05] +[2024-05-26 20:45:06,811] - INFO: Epoch 2992/9999, Iter 299160: Loss = 0.011317781172692776, lr = [1.25e-05] +[2024-05-26 20:45:35,536] - INFO: Epoch 2993/9999, Iter 299200: Loss = 0.007835406810045242, lr = [1.25e-05] +[2024-05-26 20:46:02,853] - INFO: Epoch 2993/9999, Iter 299240: Loss = 0.010157475247979164, lr = [1.25e-05] +[2024-05-26 20:46:30,002] - INFO: Epoch 2993/9999, Iter 299280: Loss = 0.017189575359225273, lr = [1.25e-05] +[2024-05-26 20:46:58,485] - INFO: Epoch 2994/9999, Iter 299320: Loss = 0.010009361431002617, lr = [1.25e-05] +[2024-05-26 20:47:25,753] - INFO: Epoch 2994/9999, Iter 299360: Loss = 0.004170422442257404, lr = [1.25e-05] +[2024-05-26 20:47:54,504] - INFO: Epoch 2995/9999, Iter 299400: Loss = 0.012502441182732582, lr = [1.25e-05] +[2024-05-26 20:48:21,804] - INFO: Epoch 2995/9999, Iter 299440: Loss = 0.010717147961258888, lr = [1.25e-05] +[2024-05-26 20:48:49,014] - INFO: Epoch 2995/9999, Iter 299480: Loss = 0.011721489951014519, lr = [1.25e-05] +[2024-05-26 20:49:02,294] - INFO: Evaluate at epoch 2995! +[2024-05-26 20:49:06,967] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:49:06,967] - INFO: Eval PSNR (current): 38.222 (2995) SSIM (current): 0.9617 (2995) +[2024-05-26 20:49:06,967] - INFO: Evaluation over. +[2024-05-26 20:49:27,505] - INFO: Epoch 2996/9999, Iter 299520: Loss = 0.012135143391788006, lr = [1.25e-05] +[2024-05-26 20:49:54,705] - INFO: Epoch 2996/9999, Iter 299560: Loss = 0.011304657906293869, lr = [1.25e-05] +[2024-05-26 20:50:23,403] - INFO: Epoch 2997/9999, Iter 299600: Loss = 0.01386177632957697, lr = [1.25e-05] +[2024-05-26 20:50:50,803] - INFO: Epoch 2997/9999, Iter 299640: Loss = 0.01797953061759472, lr = [1.25e-05] +[2024-05-26 20:51:18,047] - INFO: Epoch 2997/9999, Iter 299680: Loss = 0.011725847609341145, lr = [1.25e-05] +[2024-05-26 20:51:46,739] - INFO: Epoch 2998/9999, Iter 299720: Loss = 0.010805551894009113, lr = [1.25e-05] +[2024-05-26 20:52:13,982] - INFO: Epoch 2998/9999, Iter 299760: Loss = 0.011347801424562931, lr = [1.25e-05] +[2024-05-26 20:52:42,469] - INFO: Epoch 2999/9999, Iter 299800: Loss = 0.014270956628024578, lr = [1.25e-05] +[2024-05-26 20:53:09,762] - INFO: Epoch 2999/9999, Iter 299840: Loss = 0.020700599998235703, lr = [1.25e-05] +[2024-05-26 20:53:36,898] - INFO: Epoch 2999/9999, Iter 299880: Loss = 0.020785262808203697, lr = [1.25e-05] +[2024-05-26 20:54:05,400] - INFO: Epoch 3000/9999, Iter 299920: Loss = 0.008490951731801033, lr = [1.25e-05] +[2024-05-26 20:54:32,586] - INFO: Epoch 3000/9999, Iter 299960: Loss = 0.006546793971210718, lr = [1.25e-05] +[2024-05-26 20:54:59,429] - INFO: Evaluate at epoch 3000! +[2024-05-26 20:55:04,109] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:55:04,109] - INFO: Eval PSNR (current): 38.238 (3000) SSIM (current): 0.9617 (3000) +[2024-05-26 20:55:04,109] - INFO: Evaluation over. +[2024-05-26 20:55:10,863] - INFO: Epoch 3001/9999, Iter 300000: Loss = 0.012540369294583797, lr = [1.25e-05] +[2024-05-26 20:55:38,262] - INFO: Epoch 3001/9999, Iter 300040: Loss = 0.0208616703748703, lr = [1.25e-05] +[2024-05-26 20:56:05,410] - INFO: Epoch 3001/9999, Iter 300080: Loss = 0.009861759841442108, lr = [1.25e-05] +[2024-05-26 20:56:34,215] - INFO: Epoch 3002/9999, Iter 300120: Loss = 0.009552933275699615, lr = [1.25e-05] +[2024-05-26 20:57:01,487] - INFO: Epoch 3002/9999, Iter 300160: Loss = 0.009665369056165218, lr = [1.25e-05] +[2024-05-26 20:57:29,889] - INFO: Epoch 3003/9999, Iter 300200: Loss = 0.007187053095549345, lr = [1.25e-05] +[2024-05-26 20:57:57,171] - INFO: Epoch 3003/9999, Iter 300240: Loss = 0.00922771543264389, lr = [1.25e-05] +[2024-05-26 20:58:24,382] - INFO: Epoch 3003/9999, Iter 300280: Loss = 0.011723913252353668, lr = [1.25e-05] +[2024-05-26 20:58:53,158] - INFO: Epoch 3004/9999, Iter 300320: Loss = 0.008872631937265396, lr = [1.25e-05] +[2024-05-26 20:59:20,363] - INFO: Epoch 3004/9999, Iter 300360: Loss = 0.017662329599261284, lr = [1.25e-05] +[2024-05-26 20:59:48,895] - INFO: Epoch 3005/9999, Iter 300400: Loss = 0.017517805099487305, lr = [1.25e-05] +[2024-05-26 21:00:16,261] - INFO: Epoch 3005/9999, Iter 300440: Loss = 0.01780114322900772, lr = [1.25e-05] +[2024-05-26 21:00:43,511] - INFO: Epoch 3005/9999, Iter 300480: Loss = 0.024626214057207108, lr = [1.25e-05] +[2024-05-26 21:00:56,785] - INFO: Evaluate at epoch 3005! +[2024-05-26 21:01:01,350] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:01:01,350] - INFO: Eval PSNR (current): 38.238 (3005) SSIM (current): 0.9617 (3005) +[2024-05-26 21:01:01,350] - INFO: Evaluation over. +[2024-05-26 21:01:21,850] - INFO: Epoch 3006/9999, Iter 300520: Loss = 0.013617542572319508, lr = [1.25e-05] +[2024-05-26 21:01:49,097] - INFO: Epoch 3006/9999, Iter 300560: Loss = 0.010143207386136055, lr = [1.25e-05] +[2024-05-26 21:02:17,593] - INFO: Epoch 3007/9999, Iter 300600: Loss = 0.010323491878807545, lr = [1.25e-05] +[2024-05-26 21:02:44,899] - INFO: Epoch 3007/9999, Iter 300640: Loss = 0.015502765774726868, lr = [1.25e-05] +[2024-05-26 21:03:12,082] - INFO: Epoch 3007/9999, Iter 300680: Loss = 0.008167804218828678, lr = [1.25e-05] +[2024-05-26 21:03:40,590] - INFO: Epoch 3008/9999, Iter 300720: Loss = 0.01226181723177433, lr = [1.25e-05] +[2024-05-26 21:04:07,753] - INFO: Epoch 3008/9999, Iter 300760: Loss = 0.006503910291939974, lr = [1.25e-05] +[2024-05-26 21:04:36,364] - INFO: Epoch 3009/9999, Iter 300800: Loss = 0.01620364375412464, lr = [1.25e-05] +[2024-05-26 21:05:03,654] - INFO: Epoch 3009/9999, Iter 300840: Loss = 0.0062136161141097546, lr = [1.25e-05] +[2024-05-26 21:05:30,871] - INFO: Epoch 3009/9999, Iter 300880: Loss = 0.013634607195854187, lr = [1.25e-05] +[2024-05-26 21:05:59,532] - INFO: Epoch 3010/9999, Iter 300920: Loss = 0.010790805332362652, lr = [1.25e-05] +[2024-05-26 21:06:26,705] - INFO: Epoch 3010/9999, Iter 300960: Loss = 0.013687125407159328, lr = [1.25e-05] +[2024-05-26 21:06:53,568] - INFO: Evaluate at epoch 3010! +[2024-05-26 21:06:58,271] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:06:58,271] - INFO: Eval PSNR (current): 38.227 (3010) SSIM (current): 0.9617 (3010) +[2024-05-26 21:06:58,271] - INFO: Evaluation over. +[2024-05-26 21:07:05,142] - INFO: Epoch 3011/9999, Iter 301000: Loss = 0.012203944846987724, lr = [1.25e-05] +[2024-05-26 21:07:32,444] - INFO: Epoch 3011/9999, Iter 301040: Loss = 0.01131652481853962, lr = [1.25e-05] +[2024-05-26 21:07:59,545] - INFO: Epoch 3011/9999, Iter 301080: Loss = 0.011162681505084038, lr = [1.25e-05] +[2024-05-26 21:08:28,317] - INFO: Epoch 3012/9999, Iter 301120: Loss = 0.012203261256217957, lr = [1.25e-05] +[2024-05-26 21:08:55,560] - INFO: Epoch 3012/9999, Iter 301160: Loss = 0.01047424040734768, lr = [1.25e-05] +[2024-05-26 21:09:24,177] - INFO: Epoch 3013/9999, Iter 301200: Loss = 0.009903231635689735, lr = [1.25e-05] +[2024-05-26 21:09:51,492] - INFO: Epoch 3013/9999, Iter 301240: Loss = 0.013213430531322956, lr = [1.25e-05] +[2024-05-26 21:10:18,741] - INFO: Epoch 3013/9999, Iter 301280: Loss = 0.017822226509451866, lr = [1.25e-05] +[2024-05-26 21:10:47,515] - INFO: Epoch 3014/9999, Iter 301320: Loss = 0.00771886995062232, lr = [1.25e-05] +[2024-05-26 21:11:14,818] - INFO: Epoch 3014/9999, Iter 301360: Loss = 0.013718172907829285, lr = [1.25e-05] +[2024-05-26 21:11:43,494] - INFO: Epoch 3015/9999, Iter 301400: Loss = 0.015319811180233955, lr = [1.25e-05] +[2024-05-26 21:12:10,758] - INFO: Epoch 3015/9999, Iter 301440: Loss = 0.015472267754375935, lr = [1.25e-05] +[2024-05-26 21:12:37,966] - INFO: Epoch 3015/9999, Iter 301480: Loss = 0.01530005969107151, lr = [1.25e-05] +[2024-05-26 21:12:51,271] - INFO: Evaluate at epoch 3015! +[2024-05-26 21:12:55,916] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:12:55,916] - INFO: Eval PSNR (current): 38.221 (3015) SSIM (current): 0.9617 (3015) +[2024-05-26 21:12:55,916] - INFO: Evaluation over. +[2024-05-26 21:13:16,167] - INFO: Epoch 3016/9999, Iter 301520: Loss = 0.016568655148148537, lr = [1.25e-05] +[2024-05-26 21:13:43,392] - INFO: Epoch 3016/9999, Iter 301560: Loss = 0.018131902441382408, lr = [1.25e-05] +[2024-05-26 21:14:12,059] - INFO: Epoch 3017/9999, Iter 301600: Loss = 0.017253119498491287, lr = [1.25e-05] +[2024-05-26 21:14:39,314] - INFO: Epoch 3017/9999, Iter 301640: Loss = 0.015211561694741249, lr = [1.25e-05] +[2024-05-26 21:15:06,529] - INFO: Epoch 3017/9999, Iter 301680: Loss = 0.006719742901623249, lr = [1.25e-05] +[2024-05-26 21:15:35,148] - INFO: Epoch 3018/9999, Iter 301720: Loss = 0.013742052949965, lr = [1.25e-05] +[2024-05-26 21:16:02,394] - INFO: Epoch 3018/9999, Iter 301760: Loss = 0.016347533091902733, lr = [1.25e-05] +[2024-05-26 21:16:31,087] - INFO: Epoch 3019/9999, Iter 301800: Loss = 0.015047883614897728, lr = [1.25e-05] +[2024-05-26 21:16:58,459] - INFO: Epoch 3019/9999, Iter 301840: Loss = 0.014425710774958134, lr = [1.25e-05] +[2024-05-26 21:17:25,628] - INFO: Epoch 3019/9999, Iter 301880: Loss = 0.011924533173441887, lr = [1.25e-05] +[2024-05-26 21:17:54,360] - INFO: Epoch 3020/9999, Iter 301920: Loss = 0.007353425025939941, lr = [1.25e-05] +[2024-05-26 21:18:21,502] - INFO: Epoch 3020/9999, Iter 301960: Loss = 0.01855781301856041, lr = [1.25e-05] +[2024-05-26 21:18:48,390] - INFO: Evaluate at epoch 3020! +[2024-05-26 21:18:53,047] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:18:53,048] - INFO: Eval PSNR (current): 38.233 (3020) SSIM (current): 0.9618 (3020) +[2024-05-26 21:18:53,048] - INFO: Evaluation over. +[2024-05-26 21:18:59,766] - INFO: Epoch 3021/9999, Iter 302000: Loss = 0.016455085948109627, lr = [1.25e-05] +[2024-05-26 21:19:27,138] - INFO: Epoch 3021/9999, Iter 302040: Loss = 0.00855664536356926, lr = [1.25e-05] +[2024-05-26 21:19:54,303] - INFO: Epoch 3021/9999, Iter 302080: Loss = 0.009434349834918976, lr = [1.25e-05] +[2024-05-26 21:20:23,049] - INFO: Epoch 3022/9999, Iter 302120: Loss = 0.017148444429039955, lr = [1.25e-05] +[2024-05-26 21:20:50,268] - INFO: Epoch 3022/9999, Iter 302160: Loss = 0.012030215002596378, lr = [1.25e-05] +[2024-05-26 21:21:18,985] - INFO: Epoch 3023/9999, Iter 302200: Loss = 0.016278918832540512, lr = [1.25e-05] +[2024-05-26 21:21:46,170] - INFO: Epoch 3023/9999, Iter 302240: Loss = 0.006306818220764399, lr = [1.25e-05] +[2024-05-26 21:22:13,330] - INFO: Epoch 3023/9999, Iter 302280: Loss = 0.00964925717562437, lr = [1.25e-05] +[2024-05-26 21:22:41,829] - INFO: Epoch 3024/9999, Iter 302320: Loss = 0.010383890941739082, lr = [1.25e-05] +[2024-05-26 21:23:09,084] - INFO: Epoch 3024/9999, Iter 302360: Loss = 0.011609360575675964, lr = [1.25e-05] +[2024-05-26 21:23:37,536] - INFO: Epoch 3025/9999, Iter 302400: Loss = 0.018032440915703773, lr = [1.25e-05] +[2024-05-26 21:24:04,811] - INFO: Epoch 3025/9999, Iter 302440: Loss = 0.020523808896541595, lr = [1.25e-05] +[2024-05-26 21:24:32,133] - INFO: Epoch 3025/9999, Iter 302480: Loss = 0.006666422821581364, lr = [1.25e-05] +[2024-05-26 21:24:45,405] - INFO: Evaluate at epoch 3025! +[2024-05-26 21:24:50,092] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:24:50,092] - INFO: Eval PSNR (current): 38.188 (3025) SSIM (current): 0.9616 (3025) +[2024-05-26 21:24:50,092] - INFO: Evaluation over. +[2024-05-26 21:25:10,541] - INFO: Epoch 3026/9999, Iter 302520: Loss = 0.00939758401364088, lr = [1.25e-05] +[2024-05-26 21:25:37,829] - INFO: Epoch 3026/9999, Iter 302560: Loss = 0.011010391637682915, lr = [1.25e-05] +[2024-05-26 21:26:06,518] - INFO: Epoch 3027/9999, Iter 302600: Loss = 0.005259196739643812, lr = [1.25e-05] +[2024-05-26 21:26:33,798] - INFO: Epoch 3027/9999, Iter 302640: Loss = 0.011029092594981194, lr = [1.25e-05] +[2024-05-26 21:27:00,971] - INFO: Epoch 3027/9999, Iter 302680: Loss = 0.009025948122143745, lr = [1.25e-05] +[2024-05-26 21:27:29,620] - INFO: Epoch 3028/9999, Iter 302720: Loss = 0.00711039500311017, lr = [1.25e-05] +[2024-05-26 21:27:56,843] - INFO: Epoch 3028/9999, Iter 302760: Loss = 0.019794663414359093, lr = [1.25e-05] +[2024-05-26 21:28:25,529] - INFO: Epoch 3029/9999, Iter 302800: Loss = 0.011681614443659782, lr = [1.25e-05] +[2024-05-26 21:28:52,798] - INFO: Epoch 3029/9999, Iter 302840: Loss = 0.019780322909355164, lr = [1.25e-05] +[2024-05-26 21:29:20,018] - INFO: Epoch 3029/9999, Iter 302880: Loss = 0.0050230626948177814, lr = [1.25e-05] +[2024-05-26 21:29:48,830] - INFO: Epoch 3030/9999, Iter 302920: Loss = 0.013426626101136208, lr = [1.25e-05] +[2024-05-26 21:30:16,004] - INFO: Epoch 3030/9999, Iter 302960: Loss = 0.010232866741716862, lr = [1.25e-05] +[2024-05-26 21:30:42,836] - INFO: Evaluate at epoch 3030! +[2024-05-26 21:30:52,791] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:30:52,792] - INFO: Eval PSNR (current): 38.224 (3030) SSIM (current): 0.9618 (3030) +[2024-05-26 21:30:52,792] - INFO: Evaluation over. +[2024-05-26 21:30:59,470] - INFO: Epoch 3031/9999, Iter 303000: Loss = 0.008710324764251709, lr = [1.25e-05] +[2024-05-26 21:31:26,881] - INFO: Epoch 3031/9999, Iter 303040: Loss = 0.014875705353915691, lr = [1.25e-05] +[2024-05-26 21:31:53,995] - INFO: Epoch 3031/9999, Iter 303080: Loss = 0.017634369432926178, lr = [1.25e-05] +[2024-05-26 21:32:22,659] - INFO: Epoch 3032/9999, Iter 303120: Loss = 0.01197427324950695, lr = [1.25e-05] +[2024-05-26 21:32:49,903] - INFO: Epoch 3032/9999, Iter 303160: Loss = 0.010069344192743301, lr = [1.25e-05] +[2024-05-26 21:33:18,488] - INFO: Epoch 3033/9999, Iter 303200: Loss = 0.01150625478476286, lr = [1.25e-05] +[2024-05-26 21:33:45,808] - INFO: Epoch 3033/9999, Iter 303240: Loss = 0.008681777864694595, lr = [1.25e-05] +[2024-05-26 21:34:12,963] - INFO: Epoch 3033/9999, Iter 303280: Loss = 0.015518647618591785, lr = [1.25e-05] +[2024-05-26 21:34:41,506] - INFO: Epoch 3034/9999, Iter 303320: Loss = 0.007388352416455746, lr = [1.25e-05] +[2024-05-26 21:35:08,713] - INFO: Epoch 3034/9999, Iter 303360: Loss = 0.009670550003647804, lr = [1.25e-05] +[2024-05-26 21:35:37,454] - INFO: Epoch 3035/9999, Iter 303400: Loss = 0.010145843029022217, lr = [1.25e-05] +[2024-05-26 21:36:04,717] - INFO: Epoch 3035/9999, Iter 303440: Loss = 0.020234212279319763, lr = [1.25e-05] +[2024-05-26 21:36:31,904] - INFO: Epoch 3035/9999, Iter 303480: Loss = 0.016170838847756386, lr = [1.25e-05] +[2024-05-26 21:36:45,211] - INFO: Evaluate at epoch 3035! +[2024-05-26 21:36:49,891] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:36:49,891] - INFO: Eval PSNR (current): 38.229 (3035) SSIM (current): 0.9617 (3035) +[2024-05-26 21:36:49,891] - INFO: Evaluation over. +[2024-05-26 21:37:10,335] - INFO: Epoch 3036/9999, Iter 303520: Loss = 0.015688830986618996, lr = [1.25e-05] +[2024-05-26 21:37:37,511] - INFO: Epoch 3036/9999, Iter 303560: Loss = 0.01476430892944336, lr = [1.25e-05] +[2024-05-26 21:38:06,100] - INFO: Epoch 3037/9999, Iter 303600: Loss = 0.014256498776376247, lr = [1.25e-05] +[2024-05-26 21:38:33,395] - INFO: Epoch 3037/9999, Iter 303640: Loss = 0.01958230324089527, lr = [1.25e-05] +[2024-05-26 21:39:00,623] - INFO: Epoch 3037/9999, Iter 303680: Loss = 0.014373228885233402, lr = [1.25e-05] +[2024-05-26 21:39:29,413] - INFO: Epoch 3038/9999, Iter 303720: Loss = 0.011503351852297783, lr = [1.25e-05] +[2024-05-26 21:39:56,620] - INFO: Epoch 3038/9999, Iter 303760: Loss = 0.01765364035964012, lr = [1.25e-05] +[2024-05-26 21:40:25,141] - INFO: Epoch 3039/9999, Iter 303800: Loss = 0.01919226534664631, lr = [1.25e-05] +[2024-05-26 21:40:52,402] - INFO: Epoch 3039/9999, Iter 303840: Loss = 0.010930145159363747, lr = [1.25e-05] +[2024-05-26 21:41:19,586] - INFO: Epoch 3039/9999, Iter 303880: Loss = 0.015328139066696167, lr = [1.25e-05] +[2024-05-26 21:41:48,298] - INFO: Epoch 3040/9999, Iter 303920: Loss = 0.014607133343815804, lr = [1.25e-05] +[2024-05-26 21:42:15,611] - INFO: Epoch 3040/9999, Iter 303960: Loss = 0.010573027655482292, lr = [1.25e-05] +[2024-05-26 21:42:42,535] - INFO: Evaluate at epoch 3040! +[2024-05-26 21:42:47,173] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:42:47,173] - INFO: Eval PSNR (current): 38.240 (3040) SSIM (current): 0.9617 (3040) +[2024-05-26 21:42:47,174] - INFO: Evaluation over. +[2024-05-26 21:42:54,020] - INFO: Epoch 3041/9999, Iter 304000: Loss = 0.011668006889522076, lr = [1.25e-05] +[2024-05-26 21:43:21,320] - INFO: Epoch 3041/9999, Iter 304040: Loss = 0.010807426646351814, lr = [1.25e-05] +[2024-05-26 21:43:48,553] - INFO: Epoch 3041/9999, Iter 304080: Loss = 0.007305892184376717, lr = [1.25e-05] +[2024-05-26 21:44:17,174] - INFO: Epoch 3042/9999, Iter 304120: Loss = 0.00869366992264986, lr = [1.25e-05] +[2024-05-26 21:44:44,394] - INFO: Epoch 3042/9999, Iter 304160: Loss = 0.012811008840799332, lr = [1.25e-05] +[2024-05-26 21:45:13,085] - INFO: Epoch 3043/9999, Iter 304200: Loss = 0.018149564042687416, lr = [1.25e-05] +[2024-05-26 21:45:40,425] - INFO: Epoch 3043/9999, Iter 304240: Loss = 0.012187719345092773, lr = [1.25e-05] +[2024-05-26 21:46:07,554] - INFO: Epoch 3043/9999, Iter 304280: Loss = 0.014842755161225796, lr = [1.25e-05] +[2024-05-26 21:46:36,085] - INFO: Epoch 3044/9999, Iter 304320: Loss = 0.004232219886034727, lr = [1.25e-05] +[2024-05-26 21:47:03,326] - INFO: Epoch 3044/9999, Iter 304360: Loss = 0.009088926017284393, lr = [1.25e-05] +[2024-05-26 21:47:31,698] - INFO: Epoch 3045/9999, Iter 304400: Loss = 0.013011450879275799, lr = [1.25e-05] +[2024-05-26 21:47:58,973] - INFO: Epoch 3045/9999, Iter 304440: Loss = 0.010561620816588402, lr = [1.25e-05] +[2024-05-26 21:48:26,110] - INFO: Epoch 3045/9999, Iter 304480: Loss = 0.013063795864582062, lr = [1.25e-05] +[2024-05-26 21:48:39,508] - INFO: Evaluate at epoch 3045! +[2024-05-26 21:48:44,307] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:48:44,307] - INFO: Eval PSNR (current): 38.235 (3045) SSIM (current): 0.9617 (3045) +[2024-05-26 21:48:44,307] - INFO: Evaluation over. +[2024-05-26 21:49:04,674] - INFO: Epoch 3046/9999, Iter 304520: Loss = 0.016820808872580528, lr = [1.25e-05] +[2024-05-26 21:49:31,859] - INFO: Epoch 3046/9999, Iter 304560: Loss = 0.010724500752985477, lr = [1.25e-05] +[2024-05-26 21:50:00,398] - INFO: Epoch 3047/9999, Iter 304600: Loss = 0.013072050176560879, lr = [1.25e-05] +[2024-05-26 21:50:27,675] - INFO: Epoch 3047/9999, Iter 304640: Loss = 0.010179929435253143, lr = [1.25e-05] +[2024-05-26 21:50:54,875] - INFO: Epoch 3047/9999, Iter 304680: Loss = 0.013794106431305408, lr = [1.25e-05] +[2024-05-26 21:51:23,503] - INFO: Epoch 3048/9999, Iter 304720: Loss = 0.0168712567538023, lr = [1.25e-05] +[2024-05-26 21:51:50,695] - INFO: Epoch 3048/9999, Iter 304760: Loss = 0.011444038711488247, lr = [1.25e-05] +[2024-05-26 21:52:19,316] - INFO: Epoch 3049/9999, Iter 304800: Loss = 0.01949193887412548, lr = [1.25e-05] +[2024-05-26 21:52:46,590] - INFO: Epoch 3049/9999, Iter 304840: Loss = 0.010599366389214993, lr = [1.25e-05] +[2024-05-26 21:53:13,749] - INFO: Epoch 3049/9999, Iter 304880: Loss = 0.013956550508737564, lr = [1.25e-05] +[2024-05-26 21:53:42,621] - INFO: Epoch 3050/9999, Iter 304920: Loss = 0.01848146691918373, lr = [1.25e-05] +[2024-05-26 21:54:09,872] - INFO: Epoch 3050/9999, Iter 304960: Loss = 0.02235916629433632, lr = [1.25e-05] +[2024-05-26 21:54:36,702] - INFO: Evaluate at epoch 3050! +[2024-05-26 21:54:41,255] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:54:41,256] - INFO: Eval PSNR (current): 38.242 (3050) SSIM (current): 0.9617 (3050) +[2024-05-26 21:54:41,256] - INFO: Evaluation over. +[2024-05-26 21:54:48,310] - INFO: Epoch 3051/9999, Iter 305000: Loss = 0.011836232617497444, lr = [1.25e-05] +[2024-05-26 21:55:15,603] - INFO: Epoch 3051/9999, Iter 305040: Loss = 0.014289075508713722, lr = [1.25e-05] +[2024-05-26 21:55:42,794] - INFO: Epoch 3051/9999, Iter 305080: Loss = 0.011775720864534378, lr = [1.25e-05] +[2024-05-26 21:56:11,430] - INFO: Epoch 3052/9999, Iter 305120: Loss = 0.0076940348371863365, lr = [1.25e-05] +[2024-05-26 21:56:38,592] - INFO: Epoch 3052/9999, Iter 305160: Loss = 0.014249359257519245, lr = [1.25e-05] +[2024-05-26 21:57:07,168] - INFO: Epoch 3053/9999, Iter 305200: Loss = 0.013808418065309525, lr = [1.25e-05] +[2024-05-26 21:57:34,416] - INFO: Epoch 3053/9999, Iter 305240: Loss = 0.016375470906496048, lr = [1.25e-05] +[2024-05-26 21:58:01,610] - INFO: Epoch 3053/9999, Iter 305280: Loss = 0.011260757222771645, lr = [1.25e-05] +[2024-05-26 21:58:29,956] - INFO: Epoch 3054/9999, Iter 305320: Loss = 0.01437312550842762, lr = [1.25e-05] +[2024-05-26 21:58:57,106] - INFO: Epoch 3054/9999, Iter 305360: Loss = 0.014634153805673122, lr = [1.25e-05] +[2024-05-26 21:59:25,600] - INFO: Epoch 3055/9999, Iter 305400: Loss = 0.015187609940767288, lr = [1.25e-05] +[2024-05-26 21:59:52,832] - INFO: Epoch 3055/9999, Iter 305440: Loss = 0.012537218630313873, lr = [1.25e-05] +[2024-05-26 22:00:20,029] - INFO: Epoch 3055/9999, Iter 305480: Loss = 0.003233045805245638, lr = [1.25e-05] +[2024-05-26 22:00:33,303] - INFO: Evaluate at epoch 3055! +[2024-05-26 22:00:38,042] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:00:38,042] - INFO: Eval PSNR (current): 38.243 (3055) SSIM (current): 0.9617 (3055) +[2024-05-26 22:00:38,042] - INFO: Evaluation over. +[2024-05-26 22:00:58,657] - INFO: Epoch 3056/9999, Iter 305520: Loss = 0.017456209287047386, lr = [1.25e-05] +[2024-05-26 22:01:25,930] - INFO: Epoch 3056/9999, Iter 305560: Loss = 0.010669589042663574, lr = [1.25e-05] +[2024-05-26 22:01:54,412] - INFO: Epoch 3057/9999, Iter 305600: Loss = 0.01673976331949234, lr = [1.25e-05] +[2024-05-26 22:02:21,718] - INFO: Epoch 3057/9999, Iter 305640: Loss = 0.008856721222400665, lr = [1.25e-05] +[2024-05-26 22:02:48,891] - INFO: Epoch 3057/9999, Iter 305680: Loss = 0.013547251001000404, lr = [1.25e-05] +[2024-05-26 22:03:17,598] - INFO: Epoch 3058/9999, Iter 305720: Loss = 0.02082844451069832, lr = [1.25e-05] +[2024-05-26 22:03:44,824] - INFO: Epoch 3058/9999, Iter 305760: Loss = 0.009721780195832253, lr = [1.25e-05] +[2024-05-26 22:04:13,549] - INFO: Epoch 3059/9999, Iter 305800: Loss = 0.006896733772009611, lr = [1.25e-05] +[2024-05-26 22:04:40,858] - INFO: Epoch 3059/9999, Iter 305840: Loss = 0.015200258232653141, lr = [1.25e-05] +[2024-05-26 22:05:08,070] - INFO: Epoch 3059/9999, Iter 305880: Loss = 0.00863864179700613, lr = [1.25e-05] +[2024-05-26 22:05:36,585] - INFO: Epoch 3060/9999, Iter 305920: Loss = 0.013131342828273773, lr = [1.25e-05] +[2024-05-26 22:06:03,791] - INFO: Epoch 3060/9999, Iter 305960: Loss = 0.007463650777935982, lr = [1.25e-05] +[2024-05-26 22:06:30,773] - INFO: Evaluate at epoch 3060! +[2024-05-26 22:06:35,497] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:06:35,497] - INFO: Eval PSNR (current): 38.245 (3060) SSIM (current): 0.9617 (3060) +[2024-05-26 22:06:35,497] - INFO: Evaluation over. +[2024-05-26 22:06:42,212] - INFO: Epoch 3061/9999, Iter 306000: Loss = 0.009394257329404354, lr = [1.25e-05] +[2024-05-26 22:07:09,535] - INFO: Epoch 3061/9999, Iter 306040: Loss = 0.010006148368120193, lr = [1.25e-05] +[2024-05-26 22:07:36,676] - INFO: Epoch 3061/9999, Iter 306080: Loss = 0.015280204825103283, lr = [1.25e-05] +[2024-05-26 22:08:05,283] - INFO: Epoch 3062/9999, Iter 306120: Loss = 0.012683087028563023, lr = [1.25e-05] +[2024-05-26 22:08:32,478] - INFO: Epoch 3062/9999, Iter 306160: Loss = 0.008448965847492218, lr = [1.25e-05] +[2024-05-26 22:09:01,139] - INFO: Epoch 3063/9999, Iter 306200: Loss = 0.009134038351476192, lr = [1.25e-05] +[2024-05-26 22:09:28,469] - INFO: Epoch 3063/9999, Iter 306240: Loss = 0.0222787968814373, lr = [1.25e-05] +[2024-05-26 22:09:55,606] - INFO: Epoch 3063/9999, Iter 306280: Loss = 0.01247763354331255, lr = [1.25e-05] +[2024-05-26 22:10:24,158] - INFO: Epoch 3064/9999, Iter 306320: Loss = 0.012433383613824844, lr = [1.25e-05] +[2024-05-26 22:10:51,299] - INFO: Epoch 3064/9999, Iter 306360: Loss = 0.007141469977796078, lr = [1.25e-05] +[2024-05-26 22:11:19,783] - INFO: Epoch 3065/9999, Iter 306400: Loss = 0.009552611969411373, lr = [1.25e-05] +[2024-05-26 22:11:47,150] - INFO: Epoch 3065/9999, Iter 306440: Loss = 0.017974844202399254, lr = [1.25e-05] +[2024-05-26 22:12:14,327] - INFO: Epoch 3065/9999, Iter 306480: Loss = 0.007576833013445139, lr = [1.25e-05] +[2024-05-26 22:12:27,588] - INFO: Evaluate at epoch 3065! +[2024-05-26 22:12:32,255] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:12:32,255] - INFO: Eval PSNR (current): 38.213 (3065) SSIM (current): 0.9617 (3065) +[2024-05-26 22:12:32,255] - INFO: Evaluation over. +[2024-05-26 22:12:52,851] - INFO: Epoch 3066/9999, Iter 306520: Loss = 0.019436035305261612, lr = [1.25e-05] +[2024-05-26 22:13:20,022] - INFO: Epoch 3066/9999, Iter 306560: Loss = 0.00821507629007101, lr = [1.25e-05] +[2024-05-26 22:13:48,671] - INFO: Epoch 3067/9999, Iter 306600: Loss = 0.011622101999819279, lr = [1.25e-05] +[2024-05-26 22:14:15,978] - INFO: Epoch 3067/9999, Iter 306640: Loss = 0.014147007837891579, lr = [1.25e-05] +[2024-05-26 22:14:43,141] - INFO: Epoch 3067/9999, Iter 306680: Loss = 0.018587438389658928, lr = [1.25e-05] +[2024-05-26 22:15:11,952] - INFO: Epoch 3068/9999, Iter 306720: Loss = 0.014796820469200611, lr = [1.25e-05] +[2024-05-26 22:15:39,159] - INFO: Epoch 3068/9999, Iter 306760: Loss = 0.021488485857844353, lr = [1.25e-05] +[2024-05-26 22:16:07,851] - INFO: Epoch 3069/9999, Iter 306800: Loss = 0.008593134582042694, lr = [1.25e-05] +[2024-05-26 22:16:35,159] - INFO: Epoch 3069/9999, Iter 306840: Loss = 0.009274469688534737, lr = [1.25e-05] +[2024-05-26 22:17:02,354] - INFO: Epoch 3069/9999, Iter 306880: Loss = 0.011997735127806664, lr = [1.25e-05] +[2024-05-26 22:17:31,174] - INFO: Epoch 3070/9999, Iter 306920: Loss = 0.015265786089003086, lr = [1.25e-05] +[2024-05-26 22:17:58,375] - INFO: Epoch 3070/9999, Iter 306960: Loss = 0.01411859504878521, lr = [1.25e-05] +[2024-05-26 22:18:25,226] - INFO: Evaluate at epoch 3070! +[2024-05-26 22:18:29,710] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:18:29,710] - INFO: Eval PSNR (current): 38.244 (3070) SSIM (current): 0.9617 (3070) +[2024-05-26 22:18:29,711] - INFO: Evaluation over. +[2024-05-26 22:18:36,456] - INFO: Epoch 3071/9999, Iter 307000: Loss = 0.013837719336152077, lr = [1.25e-05] +[2024-05-26 22:19:03,826] - INFO: Epoch 3071/9999, Iter 307040: Loss = 0.011450185440480709, lr = [1.25e-05] +[2024-05-26 22:19:31,018] - INFO: Epoch 3071/9999, Iter 307080: Loss = 0.021329659968614578, lr = [1.25e-05] +[2024-05-26 22:19:59,613] - INFO: Epoch 3072/9999, Iter 307120: Loss = 0.016546765342354774, lr = [1.25e-05] +[2024-05-26 22:20:26,795] - INFO: Epoch 3072/9999, Iter 307160: Loss = 0.010730285197496414, lr = [1.25e-05] +[2024-05-26 22:20:55,546] - INFO: Epoch 3073/9999, Iter 307200: Loss = 0.012967399321496487, lr = [1.25e-05] +[2024-05-26 22:21:22,830] - INFO: Epoch 3073/9999, Iter 307240: Loss = 0.009370328858494759, lr = [1.25e-05] +[2024-05-26 22:21:50,028] - INFO: Epoch 3073/9999, Iter 307280: Loss = 0.005433780141174793, lr = [1.25e-05] +[2024-05-26 22:22:18,744] - INFO: Epoch 3074/9999, Iter 307320: Loss = 0.011997898109257221, lr = [1.25e-05] +[2024-05-26 22:22:45,954] - INFO: Epoch 3074/9999, Iter 307360: Loss = 0.011348503641784191, lr = [1.25e-05] +[2024-05-26 22:23:14,328] - INFO: Epoch 3075/9999, Iter 307400: Loss = 0.015569287352263927, lr = [1.25e-05] +[2024-05-26 22:23:41,585] - INFO: Epoch 3075/9999, Iter 307440: Loss = 0.0139045724645257, lr = [1.25e-05] +[2024-05-26 22:24:08,754] - INFO: Epoch 3075/9999, Iter 307480: Loss = 0.018422115594148636, lr = [1.25e-05] +[2024-05-26 22:24:22,046] - INFO: Evaluate at epoch 3075! +[2024-05-26 22:24:26,640] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:24:26,641] - INFO: Eval PSNR (current): 38.240 (3075) SSIM (current): 0.9617 (3075) +[2024-05-26 22:24:26,641] - INFO: Evaluation over. +[2024-05-26 22:24:47,142] - INFO: Epoch 3076/9999, Iter 307520: Loss = 0.008678320795297623, lr = [1.25e-05] +[2024-05-26 22:25:14,314] - INFO: Epoch 3076/9999, Iter 307560: Loss = 0.011033833026885986, lr = [1.25e-05] +[2024-05-26 22:25:42,809] - INFO: Epoch 3077/9999, Iter 307600: Loss = 0.012594185769557953, lr = [1.25e-05] +[2024-05-26 22:26:09,994] - INFO: Epoch 3077/9999, Iter 307640: Loss = 0.012929918244481087, lr = [1.25e-05] +[2024-05-26 22:26:37,254] - INFO: Epoch 3077/9999, Iter 307680: Loss = 0.0103385541588068, lr = [1.25e-05] +[2024-05-26 22:27:06,009] - INFO: Epoch 3078/9999, Iter 307720: Loss = 0.012441670522093773, lr = [1.25e-05] +[2024-05-26 22:27:33,246] - INFO: Epoch 3078/9999, Iter 307760: Loss = 0.022789429873228073, lr = [1.25e-05] +[2024-05-26 22:28:01,822] - INFO: Epoch 3079/9999, Iter 307800: Loss = 0.017161738127470016, lr = [1.25e-05] +[2024-05-26 22:28:29,069] - INFO: Epoch 3079/9999, Iter 307840: Loss = 0.011641561053693295, lr = [1.25e-05] +[2024-05-26 22:28:56,311] - INFO: Epoch 3079/9999, Iter 307880: Loss = 0.007611584383994341, lr = [1.25e-05] +[2024-05-26 22:29:24,845] - INFO: Epoch 3080/9999, Iter 307920: Loss = 0.016439635306596756, lr = [1.25e-05] +[2024-05-26 22:29:52,028] - INFO: Epoch 3080/9999, Iter 307960: Loss = 0.00830102153122425, lr = [1.25e-05] +[2024-05-26 22:30:18,864] - INFO: Evaluate at epoch 3080! +[2024-05-26 22:30:23,546] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:30:23,546] - INFO: Eval PSNR (current): 38.239 (3080) SSIM (current): 0.9617 (3080) +[2024-05-26 22:30:23,546] - INFO: Evaluation over. +[2024-05-26 22:30:30,307] - INFO: Epoch 3081/9999, Iter 308000: Loss = 0.008528245612978935, lr = [1.25e-05] +[2024-05-26 22:30:57,542] - INFO: Epoch 3081/9999, Iter 308040: Loss = 0.012336666695773602, lr = [1.25e-05] +[2024-05-26 22:31:24,718] - INFO: Epoch 3081/9999, Iter 308080: Loss = 0.017138004302978516, lr = [1.25e-05] +[2024-05-26 22:31:53,444] - INFO: Epoch 3082/9999, Iter 308120: Loss = 0.011197458952665329, lr = [1.25e-05] +[2024-05-26 22:32:20,581] - INFO: Epoch 3082/9999, Iter 308160: Loss = 0.009812735952436924, lr = [1.25e-05] +[2024-05-26 22:32:49,262] - INFO: Epoch 3083/9999, Iter 308200: Loss = 0.010376877151429653, lr = [1.25e-05] +[2024-05-26 22:33:16,515] - INFO: Epoch 3083/9999, Iter 308240: Loss = 0.011339865624904633, lr = [1.25e-05] +[2024-05-26 22:33:43,768] - INFO: Epoch 3083/9999, Iter 308280: Loss = 0.008789906278252602, lr = [1.25e-05] +[2024-05-26 22:34:12,424] - INFO: Epoch 3084/9999, Iter 308320: Loss = 0.009760920889675617, lr = [1.25e-05] +[2024-05-26 22:34:39,587] - INFO: Epoch 3084/9999, Iter 308360: Loss = 0.015009153634309769, lr = [1.25e-05] +[2024-05-26 22:35:08,461] - INFO: Epoch 3085/9999, Iter 308400: Loss = 0.015281878411769867, lr = [1.25e-05] +[2024-05-26 22:35:35,781] - INFO: Epoch 3085/9999, Iter 308440: Loss = 0.009201796725392342, lr = [1.25e-05] +[2024-05-26 22:36:03,032] - INFO: Epoch 3085/9999, Iter 308480: Loss = 0.01015573088079691, lr = [1.25e-05] +[2024-05-26 22:36:16,303] - INFO: Evaluate at epoch 3085! +[2024-05-26 22:36:20,935] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:36:20,935] - INFO: Eval PSNR (current): 38.237 (3085) SSIM (current): 0.9617 (3085) +[2024-05-26 22:36:20,935] - INFO: Evaluation over. +[2024-05-26 22:36:41,363] - INFO: Epoch 3086/9999, Iter 308520: Loss = 0.014854952692985535, lr = [1.25e-05] +[2024-05-26 22:37:08,531] - INFO: Epoch 3086/9999, Iter 308560: Loss = 0.013748213648796082, lr = [1.25e-05] +[2024-05-26 22:37:37,192] - INFO: Epoch 3087/9999, Iter 308600: Loss = 0.021532757207751274, lr = [1.25e-05] +[2024-05-26 22:38:04,454] - INFO: Epoch 3087/9999, Iter 308640: Loss = 0.01634524203836918, lr = [1.25e-05] +[2024-05-26 22:38:31,647] - INFO: Epoch 3087/9999, Iter 308680: Loss = 0.004287150222808123, lr = [1.25e-05] +[2024-05-26 22:39:00,411] - INFO: Epoch 3088/9999, Iter 308720: Loss = 0.01623140089213848, lr = [1.25e-05] +[2024-05-26 22:39:27,594] - INFO: Epoch 3088/9999, Iter 308760: Loss = 0.00682638818398118, lr = [1.25e-05] +[2024-05-26 22:39:56,210] - INFO: Epoch 3089/9999, Iter 308800: Loss = 0.007933370769023895, lr = [1.25e-05] +[2024-05-26 22:40:23,435] - INFO: Epoch 3089/9999, Iter 308840: Loss = 0.009784231893718243, lr = [1.25e-05] +[2024-05-26 22:40:50,637] - INFO: Epoch 3089/9999, Iter 308880: Loss = 0.00827098824083805, lr = [1.25e-05] +[2024-05-26 22:41:19,262] - INFO: Epoch 3090/9999, Iter 308920: Loss = 0.014170436188578606, lr = [1.25e-05] +[2024-05-26 22:41:46,422] - INFO: Epoch 3090/9999, Iter 308960: Loss = 0.012376553378999233, lr = [1.25e-05] +[2024-05-26 22:42:13,331] - INFO: Evaluate at epoch 3090! +[2024-05-26 22:42:18,042] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:42:18,043] - INFO: Eval PSNR (current): 38.219 (3090) SSIM (current): 0.9616 (3090) +[2024-05-26 22:42:18,043] - INFO: Evaluation over. +[2024-05-26 22:42:24,844] - INFO: Epoch 3091/9999, Iter 309000: Loss = 0.011731676757335663, lr = [1.25e-05] +[2024-05-26 22:42:52,166] - INFO: Epoch 3091/9999, Iter 309040: Loss = 0.013332189992070198, lr = [1.25e-05] +[2024-05-26 22:43:19,342] - INFO: Epoch 3091/9999, Iter 309080: Loss = 0.016937293112277985, lr = [1.25e-05] +[2024-05-26 22:43:48,092] - INFO: Epoch 3092/9999, Iter 309120: Loss = 0.013883261010050774, lr = [1.25e-05] +[2024-05-26 22:44:15,302] - INFO: Epoch 3092/9999, Iter 309160: Loss = 0.01570490375161171, lr = [1.25e-05] +[2024-05-26 22:44:43,858] - INFO: Epoch 3093/9999, Iter 309200: Loss = 0.01208691019564867, lr = [1.25e-05] +[2024-05-26 22:45:11,158] - INFO: Epoch 3093/9999, Iter 309240: Loss = 0.008387026377022266, lr = [1.25e-05] +[2024-05-26 22:45:38,363] - INFO: Epoch 3093/9999, Iter 309280: Loss = 0.011285888031125069, lr = [1.25e-05] +[2024-05-26 22:46:06,966] - INFO: Epoch 3094/9999, Iter 309320: Loss = 0.01709279790520668, lr = [1.25e-05] +[2024-05-26 22:46:34,161] - INFO: Epoch 3094/9999, Iter 309360: Loss = 0.03170905262231827, lr = [1.25e-05] +[2024-05-26 22:47:02,728] - INFO: Epoch 3095/9999, Iter 309400: Loss = 0.030109550803899765, lr = [1.25e-05] +[2024-05-26 22:47:30,010] - INFO: Epoch 3095/9999, Iter 309440: Loss = 0.006384058389812708, lr = [1.25e-05] +[2024-05-26 22:47:57,230] - INFO: Epoch 3095/9999, Iter 309480: Loss = 0.010914587415754795, lr = [1.25e-05] +[2024-05-26 22:48:10,514] - INFO: Evaluate at epoch 3095! +[2024-05-26 22:48:15,207] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:48:15,207] - INFO: Eval PSNR (current): 38.238 (3095) SSIM (current): 0.9617 (3095) +[2024-05-26 22:48:15,207] - INFO: Evaluation over. +[2024-05-26 22:48:35,554] - INFO: Epoch 3096/9999, Iter 309520: Loss = 0.00862143561244011, lr = [1.25e-05] +[2024-05-26 22:49:02,691] - INFO: Epoch 3096/9999, Iter 309560: Loss = 0.008417198434472084, lr = [1.25e-05] +[2024-05-26 22:49:31,148] - INFO: Epoch 3097/9999, Iter 309600: Loss = 0.018572909757494926, lr = [1.25e-05] +[2024-05-26 22:49:58,319] - INFO: Epoch 3097/9999, Iter 309640: Loss = 0.00913333985954523, lr = [1.25e-05] +[2024-05-26 22:50:25,534] - INFO: Epoch 3097/9999, Iter 309680: Loss = 0.006388956680893898, lr = [1.25e-05] +[2024-05-26 22:50:54,373] - INFO: Epoch 3098/9999, Iter 309720: Loss = 0.010297137312591076, lr = [1.25e-05] +[2024-05-26 22:51:21,579] - INFO: Epoch 3098/9999, Iter 309760: Loss = 0.01088561862707138, lr = [1.25e-05] +[2024-05-26 22:51:50,226] - INFO: Epoch 3099/9999, Iter 309800: Loss = 0.00989147461950779, lr = [1.25e-05] +[2024-05-26 22:52:17,548] - INFO: Epoch 3099/9999, Iter 309840: Loss = 0.019404765218496323, lr = [1.25e-05] +[2024-05-26 22:52:44,738] - INFO: Epoch 3099/9999, Iter 309880: Loss = 0.018453096970915794, lr = [1.25e-05] +[2024-05-26 22:53:13,554] - INFO: Epoch 3100/9999, Iter 309920: Loss = 0.009937579743564129, lr = [1.25e-05] +[2024-05-26 22:53:40,766] - INFO: Epoch 3100/9999, Iter 309960: Loss = 0.0094291465356946, lr = [1.25e-05] +[2024-05-26 22:54:07,650] - INFO: Evaluate at epoch 3100! +[2024-05-26 22:54:12,183] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:54:12,183] - INFO: Eval PSNR (current): 38.226 (3100) SSIM (current): 0.9617 (3100) +[2024-05-26 22:54:12,183] - INFO: Evaluation over. +[2024-05-26 22:54:19,148] - INFO: Epoch 3101/9999, Iter 310000: Loss = 0.009702938608825207, lr = [1.25e-05] +[2024-05-26 22:54:46,386] - INFO: Epoch 3101/9999, Iter 310040: Loss = 0.012887281365692616, lr = [1.25e-05] +[2024-05-26 22:55:13,518] - INFO: Epoch 3101/9999, Iter 310080: Loss = 0.007559566758573055, lr = [1.25e-05] +[2024-05-26 22:55:42,246] - INFO: Epoch 3102/9999, Iter 310120: Loss = 0.012222190387547016, lr = [1.25e-05] +[2024-05-26 22:56:09,483] - INFO: Epoch 3102/9999, Iter 310160: Loss = 0.00813972670584917, lr = [1.25e-05] +[2024-05-26 22:56:37,909] - INFO: Epoch 3103/9999, Iter 310200: Loss = 0.011407705023884773, lr = [1.25e-05] +[2024-05-26 22:57:05,246] - INFO: Epoch 3103/9999, Iter 310240: Loss = 0.021970506757497787, lr = [1.25e-05] +[2024-05-26 22:57:32,426] - INFO: Epoch 3103/9999, Iter 310280: Loss = 0.008178562857210636, lr = [1.25e-05] +[2024-05-26 22:58:01,111] - INFO: Epoch 3104/9999, Iter 310320: Loss = 0.019500836730003357, lr = [1.25e-05] +[2024-05-26 22:58:28,390] - INFO: Epoch 3104/9999, Iter 310360: Loss = 0.00821274146437645, lr = [1.25e-05] +[2024-05-26 22:58:57,014] - INFO: Epoch 3105/9999, Iter 310400: Loss = 0.018827708438038826, lr = [1.25e-05] +[2024-05-26 22:59:24,334] - INFO: Epoch 3105/9999, Iter 310440: Loss = 0.01299038901925087, lr = [1.25e-05] +[2024-05-26 22:59:51,546] - INFO: Epoch 3105/9999, Iter 310480: Loss = 0.009300355799496174, lr = [1.25e-05] +[2024-05-26 23:00:04,853] - INFO: Evaluate at epoch 3105! +[2024-05-26 23:00:09,499] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 23:00:09,500] - INFO: Eval PSNR (current): 38.238 (3105) SSIM (current): 0.9617 (3105) +[2024-05-26 23:00:09,500] - INFO: Evaluation over. +[2024-05-26 23:00:29,915] - INFO: Epoch 3106/9999, Iter 310520: Loss = 0.007554089650511742, lr = [1.25e-05] +[2024-05-26 23:00:57,110] - INFO: Epoch 3106/9999, Iter 310560: Loss = 0.011759934946894646, lr = [1.25e-05] +[2024-05-26 23:01:25,550] - INFO: Epoch 3107/9999, Iter 310600: Loss = 0.013577960431575775, lr = [1.25e-05] +[2024-05-26 23:01:52,950] - INFO: Epoch 3107/9999, Iter 310640: Loss = 0.013061003759503365, lr = [1.25e-05] +[2024-05-26 23:02:20,154] - INFO: Epoch 3107/9999, Iter 310680: Loss = 0.01699194125831127, lr = [1.25e-05] +[2024-05-26 23:02:48,994] - INFO: Epoch 3108/9999, Iter 310720: Loss = 0.008255650289356709, lr = [1.25e-05] +[2024-05-26 23:03:16,148] - INFO: Epoch 3108/9999, Iter 310760: Loss = 0.01374878641217947, lr = [1.25e-05] +[2024-05-26 23:03:44,572] - INFO: Epoch 3109/9999, Iter 310800: Loss = 0.017610952258110046, lr = [1.25e-05] +[2024-05-26 23:04:11,955] - INFO: Epoch 3109/9999, Iter 310840: Loss = 0.0064582303166389465, lr = [1.25e-05] +[2024-05-26 23:04:39,158] - INFO: Epoch 3109/9999, Iter 310880: Loss = 0.015192960388958454, lr = [1.25e-05] +[2024-05-26 23:05:07,878] - INFO: Epoch 3110/9999, Iter 310920: Loss = 0.011676453053951263, lr = [1.25e-05] +[2024-05-26 23:05:35,145] - INFO: Epoch 3110/9999, Iter 310960: Loss = 0.007489279843866825, lr = [1.25e-05] +[2024-05-26 23:06:02,071] - INFO: Evaluate at epoch 3110! +[2024-05-26 23:06:06,698] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 23:06:06,698] - INFO: Eval PSNR (current): 38.247 (3110) SSIM (current): 0.9617 (3110) +[2024-05-26 23:06:06,698] - INFO: Evaluation over. +[2024-05-26 23:06:13,552] - INFO: Epoch 3111/9999, Iter 311000: Loss = 0.01128100510686636, lr = [1.25e-05] +[2024-05-26 23:06:40,830] - INFO: Epoch 3111/9999, Iter 311040: Loss = 0.013101590797305107, lr = [1.25e-05] +[2024-05-26 23:07:08,014] - INFO: Epoch 3111/9999, Iter 311080: Loss = 0.01215165015310049, lr = [1.25e-05] +[2024-05-26 23:07:36,907] - INFO: Epoch 3112/9999, Iter 311120: Loss = 0.00709324236959219, lr = [1.25e-05] +[2024-05-26 23:08:04,147] - INFO: Epoch 3112/9999, Iter 311160: Loss = 0.017411086708307266, lr = [1.25e-05] +[2024-05-26 23:08:32,793] - INFO: Epoch 3113/9999, Iter 311200: Loss = 0.017719287425279617, lr = [1.25e-05] +[2024-05-26 23:09:00,058] - INFO: Epoch 3113/9999, Iter 311240: Loss = 0.013710898347198963, lr = [1.25e-05] +[2024-05-26 23:09:27,240] - INFO: Epoch 3113/9999, Iter 311280: Loss = 0.01760939694941044, lr = [1.25e-05] +[2024-05-26 23:09:55,906] - INFO: Epoch 3114/9999, Iter 311320: Loss = 0.009589619934558868, lr = [1.25e-05] +[2024-05-26 23:10:23,054] - INFO: Epoch 3114/9999, Iter 311360: Loss = 0.01585126295685768, lr = [1.25e-05] +[2024-05-26 23:10:51,661] - INFO: Epoch 3115/9999, Iter 311400: Loss = 0.01896544173359871, lr = [1.25e-05] +[2024-05-26 23:11:19,029] - INFO: Epoch 3115/9999, Iter 311440: Loss = 0.011798935942351818, lr = [1.25e-05] +[2024-05-26 23:11:46,228] - INFO: Epoch 3115/9999, Iter 311480: Loss = 0.008229436352849007, lr = [1.25e-05] +[2024-05-26 23:11:59,551] - INFO: Evaluate at epoch 3115! +[2024-05-26 23:12:09,310] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:12:09,310] - INFO: Eval PSNR (current): 38.253 (3115) SSIM (current): 0.9617 (3115) +[2024-05-26 23:12:09,311] - INFO: Evaluation over. +[2024-05-26 23:12:29,660] - INFO: Epoch 3116/9999, Iter 311520: Loss = 0.0109331626445055, lr = [1.25e-05] +[2024-05-26 23:12:56,870] - INFO: Epoch 3116/9999, Iter 311560: Loss = 0.009080396965146065, lr = [1.25e-05] +[2024-05-26 23:13:25,159] - INFO: Epoch 3117/9999, Iter 311600: Loss = 0.015995826572179794, lr = [1.25e-05] +[2024-05-26 23:13:52,636] - INFO: Epoch 3117/9999, Iter 311640: Loss = 0.011500232852995396, lr = [1.25e-05] +[2024-05-26 23:14:19,779] - INFO: Epoch 3117/9999, Iter 311680: Loss = 0.01375584490597248, lr = [1.25e-05] +[2024-05-26 23:14:48,547] - INFO: Epoch 3118/9999, Iter 311720: Loss = 0.020127831026911736, lr = [1.25e-05] +[2024-05-26 23:15:15,690] - INFO: Epoch 3118/9999, Iter 311760: Loss = 0.009497291408479214, lr = [1.25e-05] +[2024-05-26 23:15:44,436] - INFO: Epoch 3119/9999, Iter 311800: Loss = 0.021860431879758835, lr = [1.25e-05] +[2024-05-26 23:16:11,802] - INFO: Epoch 3119/9999, Iter 311840: Loss = 0.01815354824066162, lr = [1.25e-05] +[2024-05-26 23:16:38,954] - INFO: Epoch 3119/9999, Iter 311880: Loss = 0.011420944705605507, lr = [1.25e-05] +[2024-05-26 23:17:07,684] - INFO: Epoch 3120/9999, Iter 311920: Loss = 0.014354485087096691, lr = [1.25e-05] +[2024-05-26 23:17:34,948] - INFO: Epoch 3120/9999, Iter 311960: Loss = 0.008462038822472095, lr = [1.25e-05] +[2024-05-26 23:18:01,855] - INFO: Evaluate at epoch 3120! +[2024-05-26 23:18:06,404] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:18:06,405] - INFO: Eval PSNR (current): 38.244 (3120) SSIM (current): 0.9617 (3120) +[2024-05-26 23:18:06,405] - INFO: Evaluation over. +[2024-05-26 23:18:13,264] - INFO: Epoch 3121/9999, Iter 312000: Loss = 0.008840955793857574, lr = [1.25e-05] +[2024-05-26 23:18:40,567] - INFO: Epoch 3121/9999, Iter 312040: Loss = 0.013291750103235245, lr = [1.25e-05] +[2024-05-26 23:19:07,766] - INFO: Epoch 3121/9999, Iter 312080: Loss = 0.02184300497174263, lr = [1.25e-05] +[2024-05-26 23:19:36,362] - INFO: Epoch 3122/9999, Iter 312120: Loss = 0.006797384936362505, lr = [1.25e-05] +[2024-05-26 23:20:03,591] - INFO: Epoch 3122/9999, Iter 312160: Loss = 0.017320385202765465, lr = [1.25e-05] +[2024-05-26 23:20:32,152] - INFO: Epoch 3123/9999, Iter 312200: Loss = 0.013428824953734875, lr = [1.25e-05] +[2024-05-26 23:20:59,459] - INFO: Epoch 3123/9999, Iter 312240: Loss = 0.010755546391010284, lr = [1.25e-05] +[2024-05-26 23:21:26,721] - INFO: Epoch 3123/9999, Iter 312280: Loss = 0.012859763577580452, lr = [1.25e-05] +[2024-05-26 23:21:55,443] - INFO: Epoch 3124/9999, Iter 312320: Loss = 0.008973323740065098, lr = [1.25e-05] +[2024-05-26 23:22:22,595] - INFO: Epoch 3124/9999, Iter 312360: Loss = 0.02454782836139202, lr = [1.25e-05] +[2024-05-26 23:22:51,261] - INFO: Epoch 3125/9999, Iter 312400: Loss = 0.012989080511033535, lr = [1.25e-05] +[2024-05-26 23:23:18,531] - INFO: Epoch 3125/9999, Iter 312440: Loss = 0.011791604571044445, lr = [1.25e-05] +[2024-05-26 23:23:45,759] - INFO: Epoch 3125/9999, Iter 312480: Loss = 0.01688864268362522, lr = [1.25e-05] +[2024-05-26 23:23:59,060] - INFO: Evaluate at epoch 3125! +[2024-05-26 23:24:03,713] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:24:03,714] - INFO: Eval PSNR (current): 38.235 (3125) SSIM (current): 0.9617 (3125) +[2024-05-26 23:24:03,714] - INFO: Evaluation over. +[2024-05-26 23:24:24,203] - INFO: Epoch 3126/9999, Iter 312520: Loss = 0.012680627405643463, lr = [1.25e-05] +[2024-05-26 23:24:51,398] - INFO: Epoch 3126/9999, Iter 312560: Loss = 0.006270259618759155, lr = [1.25e-05] +[2024-05-26 23:25:19,982] - INFO: Epoch 3127/9999, Iter 312600: Loss = 0.010424410924315453, lr = [1.25e-05] +[2024-05-26 23:25:47,310] - INFO: Epoch 3127/9999, Iter 312640: Loss = 0.008850016631186008, lr = [1.25e-05] +[2024-05-26 23:26:14,523] - INFO: Epoch 3127/9999, Iter 312680: Loss = 0.013250971212983131, lr = [1.25e-05] +[2024-05-26 23:26:43,301] - INFO: Epoch 3128/9999, Iter 312720: Loss = 0.010779691860079765, lr = [1.25e-05] +[2024-05-26 23:27:10,510] - INFO: Epoch 3128/9999, Iter 312760: Loss = 0.008841002359986305, lr = [1.25e-05] +[2024-05-26 23:27:39,077] - INFO: Epoch 3129/9999, Iter 312800: Loss = 0.007537910249084234, lr = [1.25e-05] +[2024-05-26 23:28:06,344] - INFO: Epoch 3129/9999, Iter 312840: Loss = 0.012340794317424297, lr = [1.25e-05] +[2024-05-26 23:28:33,594] - INFO: Epoch 3129/9999, Iter 312880: Loss = 0.011231625452637672, lr = [1.25e-05] +[2024-05-26 23:29:02,351] - INFO: Epoch 3130/9999, Iter 312920: Loss = 0.01703556440770626, lr = [1.25e-05] +[2024-05-26 23:29:29,547] - INFO: Epoch 3130/9999, Iter 312960: Loss = 0.011053049936890602, lr = [1.25e-05] +[2024-05-26 23:29:56,450] - INFO: Evaluate at epoch 3130! +[2024-05-26 23:30:01,061] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:30:01,062] - INFO: Eval PSNR (current): 38.242 (3130) SSIM (current): 0.9617 (3130) +[2024-05-26 23:30:01,062] - INFO: Evaluation over. +[2024-05-26 23:30:08,224] - INFO: Epoch 3131/9999, Iter 313000: Loss = 0.011828393675386906, lr = [1.25e-05] +[2024-05-26 23:30:35,427] - INFO: Epoch 3131/9999, Iter 313040: Loss = 0.01126030646264553, lr = [1.25e-05] +[2024-05-26 23:31:02,618] - INFO: Epoch 3131/9999, Iter 313080: Loss = 0.007800985127687454, lr = [1.25e-05] +[2024-05-26 23:31:31,524] - INFO: Epoch 3132/9999, Iter 313120: Loss = 0.01003959495574236, lr = [1.25e-05] +[2024-05-26 23:31:58,687] - INFO: Epoch 3132/9999, Iter 313160: Loss = 0.01052453275769949, lr = [1.25e-05] +[2024-05-26 23:32:34,851] - INFO: Epoch 3133/9999, Iter 313200: Loss = 0.009603096172213554, lr = [1.25e-05] +[2024-05-26 23:33:04,266] - INFO: Epoch 3133/9999, Iter 313240: Loss = 0.00953697506338358, lr = [1.25e-05] +[2024-05-26 23:33:32,442] - INFO: Epoch 3133/9999, Iter 313280: Loss = 0.0070792436599731445, lr = [1.25e-05] +[2024-05-26 23:34:01,422] - INFO: Epoch 3134/9999, Iter 313320: Loss = 0.017311757430434227, lr = [1.25e-05] +[2024-05-26 23:34:29,546] - INFO: Epoch 3134/9999, Iter 313360: Loss = 0.008952109143137932, lr = [1.25e-05] +[2024-05-26 23:35:07,252] - INFO: Epoch 3135/9999, Iter 313400: Loss = 0.01038950216025114, lr = [1.25e-05] +[2024-05-26 23:35:34,571] - INFO: Epoch 3135/9999, Iter 313440: Loss = 0.009317831136286259, lr = [1.25e-05] +[2024-05-26 23:36:03,749] - INFO: Epoch 3135/9999, Iter 313480: Loss = 0.01282038539648056, lr = [1.25e-05] +[2024-05-26 23:36:17,099] - INFO: Evaluate at epoch 3135! +[2024-05-26 23:36:21,765] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:36:21,765] - INFO: Eval PSNR (current): 38.238 (3135) SSIM (current): 0.9617 (3135) +[2024-05-26 23:36:21,765] - INFO: Evaluation over. +[2024-05-26 23:36:46,794] - INFO: Epoch 3136/9999, Iter 313520: Loss = 0.0200565904378891, lr = [1.25e-05] +[2024-05-26 23:37:14,006] - INFO: Epoch 3136/9999, Iter 313560: Loss = 0.010947099886834621, lr = [1.25e-05] +[2024-05-26 23:37:45,145] - INFO: Epoch 3137/9999, Iter 313600: Loss = 0.008044609799981117, lr = [1.25e-05] +[2024-05-26 23:38:12,483] - INFO: Epoch 3137/9999, Iter 313640: Loss = 0.00998014397919178, lr = [1.25e-05] +[2024-05-26 23:38:40,727] - INFO: Epoch 3137/9999, Iter 313680: Loss = 0.008918093517422676, lr = [1.25e-05] +[2024-05-26 23:39:09,635] - INFO: Epoch 3138/9999, Iter 313720: Loss = 0.007566472981125116, lr = [1.25e-05] +[2024-05-26 23:39:37,280] - INFO: Epoch 3138/9999, Iter 313760: Loss = 0.0102607486769557, lr = [1.25e-05] +[2024-05-26 23:40:06,451] - INFO: Epoch 3139/9999, Iter 313800: Loss = 0.0030554758850485086, lr = [1.25e-05] +[2024-05-26 23:40:33,670] - INFO: Epoch 3139/9999, Iter 313840: Loss = 0.01661818102002144, lr = [1.25e-05] +[2024-05-26 23:41:00,891] - INFO: Epoch 3139/9999, Iter 313880: Loss = 0.006879399064928293, lr = [1.25e-05] +[2024-05-26 23:41:29,571] - INFO: Epoch 3140/9999, Iter 313920: Loss = 0.013433383777737617, lr = [1.25e-05] +[2024-05-26 23:41:56,858] - INFO: Epoch 3140/9999, Iter 313960: Loss = 0.016775382682681084, lr = [1.25e-05] +[2024-05-26 23:42:23,745] - INFO: Evaluate at epoch 3140! +[2024-05-26 23:42:28,317] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:42:28,317] - INFO: Eval PSNR (current): 38.243 (3140) SSIM (current): 0.9617 (3140) +[2024-05-26 23:42:28,317] - INFO: Evaluation over. +[2024-05-26 23:42:35,258] - INFO: Epoch 3141/9999, Iter 314000: Loss = 0.006985551677644253, lr = [1.25e-05] +[2024-05-26 23:43:02,603] - INFO: Epoch 3141/9999, Iter 314040: Loss = 0.01222912222146988, lr = [1.25e-05] +[2024-05-26 23:43:29,774] - INFO: Epoch 3141/9999, Iter 314080: Loss = 0.00887413788586855, lr = [1.25e-05] +[2024-05-26 23:43:58,264] - INFO: Epoch 3142/9999, Iter 314120: Loss = 0.010340777225792408, lr = [1.25e-05] +[2024-05-26 23:44:25,478] - INFO: Epoch 3142/9999, Iter 314160: Loss = 0.019515881314873695, lr = [1.25e-05] +[2024-05-26 23:44:53,996] - INFO: Epoch 3143/9999, Iter 314200: Loss = 0.012040221132338047, lr = [1.25e-05] +[2024-05-26 23:45:21,207] - INFO: Epoch 3143/9999, Iter 314240: Loss = 0.007215165998786688, lr = [1.25e-05] +[2024-05-26 23:45:48,395] - INFO: Epoch 3143/9999, Iter 314280: Loss = 0.008355735801160336, lr = [1.25e-05] +[2024-05-26 23:46:17,017] - INFO: Epoch 3144/9999, Iter 314320: Loss = 0.011154337786138058, lr = [1.25e-05] +[2024-05-26 23:46:44,234] - INFO: Epoch 3144/9999, Iter 314360: Loss = 0.014430041424930096, lr = [1.25e-05] +[2024-05-26 23:47:12,808] - INFO: Epoch 3145/9999, Iter 314400: Loss = 0.012160612270236015, lr = [1.25e-05] +[2024-05-26 23:47:40,120] - INFO: Epoch 3145/9999, Iter 314440: Loss = 0.009140290319919586, lr = [1.25e-05] +[2024-05-26 23:48:07,336] - INFO: Epoch 3145/9999, Iter 314480: Loss = 0.007482158951461315, lr = [1.25e-05] +[2024-05-26 23:48:20,622] - INFO: Evaluate at epoch 3145! +[2024-05-26 23:48:25,166] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:48:25,166] - INFO: Eval PSNR (current): 38.238 (3145) SSIM (current): 0.9617 (3145) +[2024-05-26 23:48:25,166] - INFO: Evaluation over. +[2024-05-26 23:48:45,774] - INFO: Epoch 3146/9999, Iter 314520: Loss = 0.008213244378566742, lr = [1.25e-05] +[2024-05-26 23:49:13,018] - INFO: Epoch 3146/9999, Iter 314560: Loss = 0.016450637951493263, lr = [1.25e-05] +[2024-05-26 23:49:41,620] - INFO: Epoch 3147/9999, Iter 314600: Loss = 0.014042061753571033, lr = [1.25e-05] +[2024-05-26 23:50:08,886] - INFO: Epoch 3147/9999, Iter 314640: Loss = 0.010305684059858322, lr = [1.25e-05] +[2024-05-26 23:50:36,047] - INFO: Epoch 3147/9999, Iter 314680: Loss = 0.012010854668915272, lr = [1.25e-05] +[2024-05-26 23:51:04,730] - INFO: Epoch 3148/9999, Iter 314720: Loss = 0.015644419938325882, lr = [1.25e-05] +[2024-05-26 23:51:31,906] - INFO: Epoch 3148/9999, Iter 314760: Loss = 0.012788957916200161, lr = [1.25e-05] +[2024-05-26 23:52:00,388] - INFO: Epoch 3149/9999, Iter 314800: Loss = 0.014168590307235718, lr = [1.25e-05] +[2024-05-26 23:52:27,630] - INFO: Epoch 3149/9999, Iter 314840: Loss = 0.008481933735311031, lr = [1.25e-05] +[2024-05-26 23:52:54,848] - INFO: Epoch 3149/9999, Iter 314880: Loss = 0.011832678690552711, lr = [1.25e-05] +[2024-05-26 23:53:23,405] - INFO: Epoch 3150/9999, Iter 314920: Loss = 0.018701456487178802, lr = [1.25e-05] +[2024-05-26 23:53:50,543] - INFO: Epoch 3150/9999, Iter 314960: Loss = 0.014704935252666473, lr = [1.25e-05] +[2024-05-26 23:54:17,478] - INFO: Evaluate at epoch 3150! +[2024-05-26 23:54:22,159] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:54:22,159] - INFO: Eval PSNR (current): 38.244 (3150) SSIM (current): 0.9617 (3150) +[2024-05-26 23:54:22,159] - INFO: Evaluation over. +[2024-05-26 23:54:29,097] - INFO: Epoch 3151/9999, Iter 315000: Loss = 0.027590332552790642, lr = [1.25e-05] +[2024-05-26 23:54:56,331] - INFO: Epoch 3151/9999, Iter 315040: Loss = 0.017029600217938423, lr = [1.25e-05] +[2024-05-26 23:55:23,523] - INFO: Epoch 3151/9999, Iter 315080: Loss = 0.009904058650135994, lr = [1.25e-05] +[2024-05-26 23:55:52,134] - INFO: Epoch 3152/9999, Iter 315120: Loss = 0.016658982262015343, lr = [1.25e-05] +[2024-05-26 23:56:19,390] - INFO: Epoch 3152/9999, Iter 315160: Loss = 0.00889876950532198, lr = [1.25e-05] +[2024-05-26 23:56:47,880] - INFO: Epoch 3153/9999, Iter 315200: Loss = 0.009059046395123005, lr = [1.25e-05] +[2024-05-26 23:57:15,192] - INFO: Epoch 3153/9999, Iter 315240: Loss = 0.009626048617064953, lr = [1.25e-05] +[2024-05-26 23:57:42,376] - INFO: Epoch 3153/9999, Iter 315280: Loss = 0.017866868525743484, lr = [1.25e-05] +[2024-05-26 23:58:11,047] - INFO: Epoch 3154/9999, Iter 315320: Loss = 0.013434715569019318, lr = [1.25e-05] +[2024-05-26 23:58:38,220] - INFO: Epoch 3154/9999, Iter 315360: Loss = 0.005944647826254368, lr = [1.25e-05] +[2024-05-26 23:59:06,966] - INFO: Epoch 3155/9999, Iter 315400: Loss = 0.00973060168325901, lr = [1.25e-05] +[2024-05-26 23:59:34,262] - INFO: Epoch 3155/9999, Iter 315440: Loss = 0.016694404184818268, lr = [1.25e-05] +[2024-05-27 00:00:01,421] - INFO: Epoch 3155/9999, Iter 315480: Loss = 0.010430888272821903, lr = [1.25e-05] +[2024-05-27 00:00:14,704] - INFO: Evaluate at epoch 3155! +[2024-05-27 00:00:19,480] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:00:19,480] - INFO: Eval PSNR (current): 38.231 (3155) SSIM (current): 0.9617 (3155) +[2024-05-27 00:00:19,480] - INFO: Evaluation over. +[2024-05-27 00:00:40,118] - INFO: Epoch 3156/9999, Iter 315520: Loss = 0.005894490052014589, lr = [1.25e-05] +[2024-05-27 00:01:07,355] - INFO: Epoch 3156/9999, Iter 315560: Loss = 0.012562590651214123, lr = [1.25e-05] +[2024-05-27 00:01:36,037] - INFO: Epoch 3157/9999, Iter 315600: Loss = 0.009606034494936466, lr = [1.25e-05] +[2024-05-27 00:02:03,286] - INFO: Epoch 3157/9999, Iter 315640: Loss = 0.00929233804345131, lr = [1.25e-05] +[2024-05-27 00:02:30,491] - INFO: Epoch 3157/9999, Iter 315680: Loss = 0.01542851235717535, lr = [1.25e-05] +[2024-05-27 00:02:59,036] - INFO: Epoch 3158/9999, Iter 315720: Loss = 0.013994108885526657, lr = [1.25e-05] +[2024-05-27 00:03:26,229] - INFO: Epoch 3158/9999, Iter 315760: Loss = 0.007305804640054703, lr = [1.25e-05] +[2024-05-27 00:03:54,929] - INFO: Epoch 3159/9999, Iter 315800: Loss = 0.017813587561249733, lr = [1.25e-05] +[2024-05-27 00:04:22,197] - INFO: Epoch 3159/9999, Iter 315840: Loss = 0.007845140993595123, lr = [1.25e-05] +[2024-05-27 00:04:49,413] - INFO: Epoch 3159/9999, Iter 315880: Loss = 0.011765609495341778, lr = [1.25e-05] +[2024-05-27 00:05:18,021] - INFO: Epoch 3160/9999, Iter 315920: Loss = 0.009726743213832378, lr = [1.25e-05] +[2024-05-27 00:05:45,214] - INFO: Epoch 3160/9999, Iter 315960: Loss = 0.009151728823781013, lr = [1.25e-05] +[2024-05-27 00:06:12,154] - INFO: Evaluate at epoch 3160! +[2024-05-27 00:06:16,709] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:06:16,709] - INFO: Eval PSNR (current): 38.225 (3160) SSIM (current): 0.9617 (3160) +[2024-05-27 00:06:16,709] - INFO: Evaluation over. +[2024-05-27 00:06:23,660] - INFO: Epoch 3161/9999, Iter 316000: Loss = 0.006673251744359732, lr = [1.25e-05] +[2024-05-27 00:06:50,977] - INFO: Epoch 3161/9999, Iter 316040: Loss = 0.008573023602366447, lr = [1.25e-05] +[2024-05-27 00:07:18,223] - INFO: Epoch 3161/9999, Iter 316080: Loss = 0.010919863358139992, lr = [1.25e-05] +[2024-05-27 00:07:47,082] - INFO: Epoch 3162/9999, Iter 316120: Loss = 0.013719574548304081, lr = [1.25e-05] +[2024-05-27 00:08:14,310] - INFO: Epoch 3162/9999, Iter 316160: Loss = 0.016293788328766823, lr = [1.25e-05] +[2024-05-27 00:08:42,824] - INFO: Epoch 3163/9999, Iter 316200: Loss = 0.012636186555027962, lr = [1.25e-05] +[2024-05-27 00:09:10,158] - INFO: Epoch 3163/9999, Iter 316240: Loss = 0.013107238337397575, lr = [1.25e-05] +[2024-05-27 00:09:37,358] - INFO: Epoch 3163/9999, Iter 316280: Loss = 0.014789313077926636, lr = [1.25e-05] +[2024-05-27 00:10:05,841] - INFO: Epoch 3164/9999, Iter 316320: Loss = 0.006850332021713257, lr = [1.25e-05] +[2024-05-27 00:10:33,026] - INFO: Epoch 3164/9999, Iter 316360: Loss = 0.011147063225507736, lr = [1.25e-05] +[2024-05-27 00:11:01,508] - INFO: Epoch 3165/9999, Iter 316400: Loss = 0.006411434151232243, lr = [1.25e-05] +[2024-05-27 00:11:28,794] - INFO: Epoch 3165/9999, Iter 316440: Loss = 0.0073829046450555325, lr = [1.25e-05] +[2024-05-27 00:11:56,062] - INFO: Epoch 3165/9999, Iter 316480: Loss = 0.0058732288889586926, lr = [1.25e-05] +[2024-05-27 00:12:09,358] - INFO: Evaluate at epoch 3165! +[2024-05-27 00:12:13,933] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:12:13,933] - INFO: Eval PSNR (current): 38.220 (3165) SSIM (current): 0.9617 (3165) +[2024-05-27 00:12:13,933] - INFO: Evaluation over. +[2024-05-27 00:12:34,293] - INFO: Epoch 3166/9999, Iter 316520: Loss = 0.013265229761600494, lr = [1.25e-05] +[2024-05-27 00:13:01,450] - INFO: Epoch 3166/9999, Iter 316560: Loss = 0.015224887058138847, lr = [1.25e-05] +[2024-05-27 00:13:30,165] - INFO: Epoch 3167/9999, Iter 316600: Loss = 0.008541835471987724, lr = [1.25e-05] +[2024-05-27 00:13:57,466] - INFO: Epoch 3167/9999, Iter 316640: Loss = 0.005742478650063276, lr = [1.25e-05] +[2024-05-27 00:14:24,667] - INFO: Epoch 3167/9999, Iter 316680: Loss = 0.01852439157664776, lr = [1.25e-05] +[2024-05-27 00:14:53,474] - INFO: Epoch 3168/9999, Iter 316720: Loss = 0.02225901558995247, lr = [1.25e-05] +[2024-05-27 00:15:20,634] - INFO: Epoch 3168/9999, Iter 316760: Loss = 0.013537799939513206, lr = [1.25e-05] +[2024-05-27 00:15:49,312] - INFO: Epoch 3169/9999, Iter 316800: Loss = 0.010892144404351711, lr = [1.25e-05] +[2024-05-27 00:16:16,674] - INFO: Epoch 3169/9999, Iter 316840: Loss = 0.006453404668718576, lr = [1.25e-05] +[2024-05-27 00:16:43,858] - INFO: Epoch 3169/9999, Iter 316880: Loss = 0.01108093187212944, lr = [1.25e-05] +[2024-05-27 00:17:12,486] - INFO: Epoch 3170/9999, Iter 316920: Loss = 0.018880760297179222, lr = [1.25e-05] +[2024-05-27 00:17:39,754] - INFO: Epoch 3170/9999, Iter 316960: Loss = 0.007166428957134485, lr = [1.25e-05] +[2024-05-27 00:18:06,633] - INFO: Evaluate at epoch 3170! +[2024-05-27 00:18:11,309] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:18:11,310] - INFO: Eval PSNR (current): 38.246 (3170) SSIM (current): 0.9617 (3170) +[2024-05-27 00:18:11,310] - INFO: Evaluation over. +[2024-05-27 00:18:18,218] - INFO: Epoch 3171/9999, Iter 317000: Loss = 0.008344793692231178, lr = [1.25e-05] +[2024-05-27 00:18:45,550] - INFO: Epoch 3171/9999, Iter 317040: Loss = 0.012493412010371685, lr = [1.25e-05] +[2024-05-27 00:19:12,727] - INFO: Epoch 3171/9999, Iter 317080: Loss = 0.016985472291707993, lr = [1.25e-05] +[2024-05-27 00:19:41,290] - INFO: Epoch 3172/9999, Iter 317120: Loss = 0.012333122082054615, lr = [1.25e-05] +[2024-05-27 00:20:08,490] - INFO: Epoch 3172/9999, Iter 317160: Loss = 0.015585596673190594, lr = [1.25e-05] +[2024-05-27 00:20:37,132] - INFO: Epoch 3173/9999, Iter 317200: Loss = 0.007485613692551851, lr = [1.25e-05] +[2024-05-27 00:21:04,467] - INFO: Epoch 3173/9999, Iter 317240: Loss = 0.008202172815799713, lr = [1.25e-05] +[2024-05-27 00:21:31,654] - INFO: Epoch 3173/9999, Iter 317280: Loss = 0.013116319663822651, lr = [1.25e-05] +[2024-05-27 00:22:00,398] - INFO: Epoch 3174/9999, Iter 317320: Loss = 0.020756959915161133, lr = [1.25e-05] +[2024-05-27 00:22:27,538] - INFO: Epoch 3174/9999, Iter 317360: Loss = 0.010779045522212982, lr = [1.25e-05] +[2024-05-27 00:22:56,069] - INFO: Epoch 3175/9999, Iter 317400: Loss = 0.012344579212367535, lr = [1.25e-05] +[2024-05-27 00:23:23,311] - INFO: Epoch 3175/9999, Iter 317440: Loss = 0.026976408436894417, lr = [1.25e-05] +[2024-05-27 00:23:50,516] - INFO: Epoch 3175/9999, Iter 317480: Loss = 0.010991414077579975, lr = [1.25e-05] +[2024-05-27 00:24:03,807] - INFO: Evaluate at epoch 3175! +[2024-05-27 00:24:08,484] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:24:08,485] - INFO: Eval PSNR (current): 38.244 (3175) SSIM (current): 0.9617 (3175) +[2024-05-27 00:24:08,485] - INFO: Evaluation over. +[2024-05-27 00:24:29,186] - INFO: Epoch 3176/9999, Iter 317520: Loss = 0.009670114144682884, lr = [1.25e-05] +[2024-05-27 00:24:56,334] - INFO: Epoch 3176/9999, Iter 317560: Loss = 0.017431652173399925, lr = [1.25e-05] +[2024-05-27 00:25:24,994] - INFO: Epoch 3177/9999, Iter 317600: Loss = 0.007383950985968113, lr = [1.25e-05] +[2024-05-27 00:25:52,274] - INFO: Epoch 3177/9999, Iter 317640: Loss = 0.007394710555672646, lr = [1.25e-05] +[2024-05-27 00:26:19,416] - INFO: Epoch 3177/9999, Iter 317680: Loss = 0.016926899552345276, lr = [1.25e-05] +[2024-05-27 00:26:48,089] - INFO: Epoch 3178/9999, Iter 317720: Loss = 0.012626301497220993, lr = [1.25e-05] +[2024-05-27 00:27:15,299] - INFO: Epoch 3178/9999, Iter 317760: Loss = 0.01768210157752037, lr = [1.25e-05] +[2024-05-27 00:27:43,913] - INFO: Epoch 3179/9999, Iter 317800: Loss = 0.01294210646301508, lr = [1.25e-05] +[2024-05-27 00:28:11,212] - INFO: Epoch 3179/9999, Iter 317840: Loss = 0.01104590855538845, lr = [1.25e-05] +[2024-05-27 00:28:38,451] - INFO: Epoch 3179/9999, Iter 317880: Loss = 0.01153416745364666, lr = [1.25e-05] +[2024-05-27 00:29:07,054] - INFO: Epoch 3180/9999, Iter 317920: Loss = 0.020746873691678047, lr = [1.25e-05] +[2024-05-27 00:29:34,212] - INFO: Epoch 3180/9999, Iter 317960: Loss = 0.018486976623535156, lr = [1.25e-05] +[2024-05-27 00:30:01,129] - INFO: Evaluate at epoch 3180! +[2024-05-27 00:30:05,749] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:30:05,749] - INFO: Eval PSNR (current): 38.244 (3180) SSIM (current): 0.9617 (3180) +[2024-05-27 00:30:05,749] - INFO: Evaluation over. +[2024-05-27 00:30:12,760] - INFO: Epoch 3181/9999, Iter 318000: Loss = 0.01093241572380066, lr = [1.25e-05] +[2024-05-27 00:30:39,978] - INFO: Epoch 3181/9999, Iter 318040: Loss = 0.00552348094061017, lr = [1.25e-05] +[2024-05-27 00:31:07,182] - INFO: Epoch 3181/9999, Iter 318080: Loss = 0.007176344282925129, lr = [1.25e-05] +[2024-05-27 00:31:35,919] - INFO: Epoch 3182/9999, Iter 318120: Loss = 0.012187734246253967, lr = [1.25e-05] +[2024-05-27 00:32:03,125] - INFO: Epoch 3182/9999, Iter 318160: Loss = 0.008386688306927681, lr = [1.25e-05] +[2024-05-27 00:32:31,776] - INFO: Epoch 3183/9999, Iter 318200: Loss = 0.014833247289061546, lr = [1.25e-05] +[2024-05-27 00:32:59,050] - INFO: Epoch 3183/9999, Iter 318240: Loss = 0.010418493300676346, lr = [1.25e-05] +[2024-05-27 00:33:26,238] - INFO: Epoch 3183/9999, Iter 318280: Loss = 0.01420546229928732, lr = [1.25e-05] +[2024-05-27 00:33:55,078] - INFO: Epoch 3184/9999, Iter 318320: Loss = 0.01244363933801651, lr = [1.25e-05] +[2024-05-27 00:34:22,294] - INFO: Epoch 3184/9999, Iter 318360: Loss = 0.011445445008575916, lr = [1.25e-05] +[2024-05-27 00:34:50,669] - INFO: Epoch 3185/9999, Iter 318400: Loss = 0.013792687095701694, lr = [1.25e-05] +[2024-05-27 00:35:17,998] - INFO: Epoch 3185/9999, Iter 318440: Loss = 0.0193046685308218, lr = [1.25e-05] +[2024-05-27 00:35:45,172] - INFO: Epoch 3185/9999, Iter 318480: Loss = 0.009088704362511635, lr = [1.25e-05] +[2024-05-27 00:35:58,480] - INFO: Evaluate at epoch 3185! +[2024-05-27 00:36:03,172] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:36:03,173] - INFO: Eval PSNR (current): 38.239 (3185) SSIM (current): 0.9617 (3185) +[2024-05-27 00:36:03,173] - INFO: Evaluation over. +[2024-05-27 00:36:23,428] - INFO: Epoch 3186/9999, Iter 318520: Loss = 0.013646349310874939, lr = [1.25e-05] +[2024-05-27 00:36:50,619] - INFO: Epoch 3186/9999, Iter 318560: Loss = 0.01066470704972744, lr = [1.25e-05] +[2024-05-27 00:37:19,157] - INFO: Epoch 3187/9999, Iter 318600: Loss = 0.014336680993437767, lr = [1.25e-05] +[2024-05-27 00:37:46,490] - INFO: Epoch 3187/9999, Iter 318640: Loss = 0.004708250053226948, lr = [1.25e-05] +[2024-05-27 00:38:13,680] - INFO: Epoch 3187/9999, Iter 318680: Loss = 0.013631145469844341, lr = [1.25e-05] +[2024-05-27 00:38:42,246] - INFO: Epoch 3188/9999, Iter 318720: Loss = 0.019181637093424797, lr = [1.25e-05] +[2024-05-27 00:39:09,545] - INFO: Epoch 3188/9999, Iter 318760: Loss = 0.008854587562382221, lr = [1.25e-05] +[2024-05-27 00:39:38,134] - INFO: Epoch 3189/9999, Iter 318800: Loss = 0.009327179752290249, lr = [1.25e-05] +[2024-05-27 00:40:05,406] - INFO: Epoch 3189/9999, Iter 318840: Loss = 0.007996824570000172, lr = [1.25e-05] +[2024-05-27 00:40:32,619] - INFO: Epoch 3189/9999, Iter 318880: Loss = 0.010485567152500153, lr = [1.25e-05] +[2024-05-27 00:41:01,298] - INFO: Epoch 3190/9999, Iter 318920: Loss = 0.01627158187329769, lr = [1.25e-05] +[2024-05-27 00:41:28,450] - INFO: Epoch 3190/9999, Iter 318960: Loss = 0.02053849585354328, lr = [1.25e-05] +[2024-05-27 00:41:55,419] - INFO: Evaluate at epoch 3190! +[2024-05-27 00:41:59,929] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:41:59,929] - INFO: Eval PSNR (current): 38.235 (3190) SSIM (current): 0.9617 (3190) +[2024-05-27 00:41:59,930] - INFO: Evaluation over. +[2024-05-27 00:42:06,895] - INFO: Epoch 3191/9999, Iter 319000: Loss = 0.008883972652256489, lr = [1.25e-05] +[2024-05-27 00:42:34,119] - INFO: Epoch 3191/9999, Iter 319040: Loss = 0.013627991080284119, lr = [1.25e-05] +[2024-05-27 00:43:01,395] - INFO: Epoch 3191/9999, Iter 319080: Loss = 0.010821644216775894, lr = [1.25e-05] +[2024-05-27 00:43:29,974] - INFO: Epoch 3192/9999, Iter 319120: Loss = 0.0042302487418055534, lr = [1.25e-05] +[2024-05-27 00:43:57,166] - INFO: Epoch 3192/9999, Iter 319160: Loss = 0.007869759574532509, lr = [1.25e-05] +[2024-05-27 00:44:25,766] - INFO: Epoch 3193/9999, Iter 319200: Loss = 0.005511609371751547, lr = [1.25e-05] +[2024-05-27 00:44:53,047] - INFO: Epoch 3193/9999, Iter 319240: Loss = 0.007132720202207565, lr = [1.25e-05] +[2024-05-27 00:45:20,242] - INFO: Epoch 3193/9999, Iter 319280: Loss = 0.007372013293206692, lr = [1.25e-05] +[2024-05-27 00:45:48,817] - INFO: Epoch 3194/9999, Iter 319320: Loss = 0.019457466900348663, lr = [1.25e-05] +[2024-05-27 00:46:16,019] - INFO: Epoch 3194/9999, Iter 319360: Loss = 0.007400700822472572, lr = [1.25e-05] +[2024-05-27 00:46:44,573] - INFO: Epoch 3195/9999, Iter 319400: Loss = 0.01437572855502367, lr = [1.25e-05] +[2024-05-27 00:47:11,866] - INFO: Epoch 3195/9999, Iter 319440: Loss = 0.010576235130429268, lr = [1.25e-05] +[2024-05-27 00:47:39,078] - INFO: Epoch 3195/9999, Iter 319480: Loss = 0.012074233964085579, lr = [1.25e-05] +[2024-05-27 00:47:52,352] - INFO: Evaluate at epoch 3195! +[2024-05-27 00:47:56,984] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:47:56,984] - INFO: Eval PSNR (current): 38.226 (3195) SSIM (current): 0.9617 (3195) +[2024-05-27 00:47:56,984] - INFO: Evaluation over. +[2024-05-27 00:48:17,687] - INFO: Epoch 3196/9999, Iter 319520: Loss = 0.008244997821748257, lr = [1.25e-05] +[2024-05-27 00:48:44,932] - INFO: Epoch 3196/9999, Iter 319560: Loss = 0.016058538109064102, lr = [1.25e-05] +[2024-05-27 00:49:13,478] - INFO: Epoch 3197/9999, Iter 319600: Loss = 0.0208522230386734, lr = [1.25e-05] +[2024-05-27 00:49:40,822] - INFO: Epoch 3197/9999, Iter 319640: Loss = 0.012831522151827812, lr = [1.25e-05] +[2024-05-27 00:50:08,009] - INFO: Epoch 3197/9999, Iter 319680: Loss = 0.008698991499841213, lr = [1.25e-05] +[2024-05-27 00:50:36,590] - INFO: Epoch 3198/9999, Iter 319720: Loss = 0.006474786438047886, lr = [1.25e-05] +[2024-05-27 00:51:03,814] - INFO: Epoch 3198/9999, Iter 319760: Loss = 0.014375169761478901, lr = [1.25e-05] +[2024-05-27 00:51:32,395] - INFO: Epoch 3199/9999, Iter 319800: Loss = 0.011823111213743687, lr = [1.25e-05] +[2024-05-27 00:51:59,670] - INFO: Epoch 3199/9999, Iter 319840: Loss = 0.00812775082886219, lr = [1.25e-05] +[2024-05-27 00:52:26,899] - INFO: Epoch 3199/9999, Iter 319880: Loss = 0.009583142586052418, lr = [1.25e-05] +[2024-05-27 00:52:55,957] - INFO: Epoch 3200/9999, Iter 319920: Loss = 0.013113558292388916, lr = [1.25e-05] +[2024-05-27 00:53:23,166] - INFO: Epoch 3200/9999, Iter 319960: Loss = 0.012728346511721611, lr = [1.25e-05] +[2024-05-27 00:53:50,043] - INFO: Evaluate at epoch 3200! +[2024-05-27 00:53:54,912] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:53:54,913] - INFO: Eval PSNR (current): 38.244 (3200) SSIM (current): 0.9617 (3200) +[2024-05-27 00:53:54,913] - INFO: Evaluation over. +[2024-05-27 00:54:01,704] - INFO: Epoch 3201/9999, Iter 320000: Loss = 0.008666981011629105, lr = [1.25e-05] +[2024-05-27 00:54:29,075] - INFO: Epoch 3201/9999, Iter 320040: Loss = 0.009308596141636372, lr = [1.25e-05] +[2024-05-27 00:54:56,267] - INFO: Epoch 3201/9999, Iter 320080: Loss = 0.02291325479745865, lr = [1.25e-05] +[2024-05-27 00:55:25,098] - INFO: Epoch 3202/9999, Iter 320120: Loss = 0.00738297076895833, lr = [1.25e-05] +[2024-05-27 00:55:52,314] - INFO: Epoch 3202/9999, Iter 320160: Loss = 0.012998904101550579, lr = [1.25e-05] +[2024-05-27 00:56:20,850] - INFO: Epoch 3203/9999, Iter 320200: Loss = 0.010346056893467903, lr = [1.25e-05] +[2024-05-27 00:56:48,138] - INFO: Epoch 3203/9999, Iter 320240: Loss = 0.010684119537472725, lr = [1.25e-05] +[2024-05-27 00:57:15,360] - INFO: Epoch 3203/9999, Iter 320280: Loss = 0.016960501670837402, lr = [1.25e-05] +[2024-05-27 00:57:43,998] - INFO: Epoch 3204/9999, Iter 320320: Loss = 0.010078001767396927, lr = [1.25e-05] +[2024-05-27 00:58:11,198] - INFO: Epoch 3204/9999, Iter 320360: Loss = 0.010927814990282059, lr = [1.25e-05] +[2024-05-27 00:58:39,789] - INFO: Epoch 3205/9999, Iter 320400: Loss = 0.00826546922326088, lr = [1.25e-05] +[2024-05-27 00:59:07,154] - INFO: Epoch 3205/9999, Iter 320440: Loss = 0.00885697640478611, lr = [1.25e-05] +[2024-05-27 00:59:34,402] - INFO: Epoch 3205/9999, Iter 320480: Loss = 0.014504723250865936, lr = [1.25e-05] +[2024-05-27 00:59:47,660] - INFO: Evaluate at epoch 3205! +[2024-05-27 00:59:52,338] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:59:52,338] - INFO: Eval PSNR (current): 38.248 (3205) SSIM (current): 0.9617 (3205) +[2024-05-27 00:59:52,338] - INFO: Evaluation over. +[2024-05-27 01:00:12,874] - INFO: Epoch 3206/9999, Iter 320520: Loss = 0.011106433346867561, lr = [1.25e-05] +[2024-05-27 01:00:40,183] - INFO: Epoch 3206/9999, Iter 320560: Loss = 0.012545923702418804, lr = [1.25e-05] +[2024-05-27 01:01:08,705] - INFO: Epoch 3207/9999, Iter 320600: Loss = 0.009267957881093025, lr = [1.25e-05] +[2024-05-27 01:01:35,968] - INFO: Epoch 3207/9999, Iter 320640: Loss = 0.01110756304115057, lr = [1.25e-05] +[2024-05-27 01:02:03,186] - INFO: Epoch 3207/9999, Iter 320680: Loss = 0.011436623521149158, lr = [1.25e-05] +[2024-05-27 01:02:31,791] - INFO: Epoch 3208/9999, Iter 320720: Loss = 0.012539103627204895, lr = [1.25e-05] +[2024-05-27 01:02:59,061] - INFO: Epoch 3208/9999, Iter 320760: Loss = 0.018245194107294083, lr = [1.25e-05] +[2024-05-27 01:03:27,589] - INFO: Epoch 3209/9999, Iter 320800: Loss = 0.007736817933619022, lr = [1.25e-05] +[2024-05-27 01:03:54,898] - INFO: Epoch 3209/9999, Iter 320840: Loss = 0.011822587810456753, lr = [1.25e-05] +[2024-05-27 01:04:22,047] - INFO: Epoch 3209/9999, Iter 320880: Loss = 0.009869106113910675, lr = [1.25e-05] +[2024-05-27 01:04:50,671] - INFO: Epoch 3210/9999, Iter 320920: Loss = 0.013934213668107986, lr = [1.25e-05] +[2024-05-27 01:05:17,883] - INFO: Epoch 3210/9999, Iter 320960: Loss = 0.020489811897277832, lr = [1.25e-05] +[2024-05-27 01:05:44,793] - INFO: Evaluate at epoch 3210! +[2024-05-27 01:05:49,430] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:05:49,430] - INFO: Eval PSNR (current): 38.237 (3210) SSIM (current): 0.9617 (3210) +[2024-05-27 01:05:49,430] - INFO: Evaluation over. +[2024-05-27 01:05:56,318] - INFO: Epoch 3211/9999, Iter 321000: Loss = 0.01016125176101923, lr = [1.25e-05] +[2024-05-27 01:06:23,604] - INFO: Epoch 3211/9999, Iter 321040: Loss = 0.009148705750703812, lr = [1.25e-05] +[2024-05-27 01:06:50,766] - INFO: Epoch 3211/9999, Iter 321080: Loss = 0.010402700863778591, lr = [1.25e-05] +[2024-05-27 01:07:19,502] - INFO: Epoch 3212/9999, Iter 321120: Loss = 0.009015104733407497, lr = [1.25e-05] +[2024-05-27 01:07:46,695] - INFO: Epoch 3212/9999, Iter 321160: Loss = 0.01669265516102314, lr = [1.25e-05] +[2024-05-27 01:08:15,169] - INFO: Epoch 3213/9999, Iter 321200: Loss = 0.015850815922021866, lr = [1.25e-05] +[2024-05-27 01:08:42,426] - INFO: Epoch 3213/9999, Iter 321240: Loss = 0.009608362801373005, lr = [1.25e-05] +[2024-05-27 01:09:09,670] - INFO: Epoch 3213/9999, Iter 321280: Loss = 0.024157101288437843, lr = [1.25e-05] +[2024-05-27 01:09:38,162] - INFO: Epoch 3214/9999, Iter 321320: Loss = 0.01501215249300003, lr = [1.25e-05] +[2024-05-27 01:10:05,375] - INFO: Epoch 3214/9999, Iter 321360: Loss = 0.009977815672755241, lr = [1.25e-05] +[2024-05-27 01:10:33,936] - INFO: Epoch 3215/9999, Iter 321400: Loss = 0.005628187209367752, lr = [1.25e-05] +[2024-05-27 01:11:01,216] - INFO: Epoch 3215/9999, Iter 321440: Loss = 0.013654213398694992, lr = [1.25e-05] +[2024-05-27 01:11:28,421] - INFO: Epoch 3215/9999, Iter 321480: Loss = 0.013177739456295967, lr = [1.25e-05] +[2024-05-27 01:11:41,771] - INFO: Evaluate at epoch 3215! +[2024-05-27 01:11:46,462] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:11:46,462] - INFO: Eval PSNR (current): 38.233 (3215) SSIM (current): 0.9617 (3215) +[2024-05-27 01:11:46,462] - INFO: Evaluation over. +[2024-05-27 01:12:06,859] - INFO: Epoch 3216/9999, Iter 321520: Loss = 0.014511443674564362, lr = [1.25e-05] +[2024-05-27 01:12:34,121] - INFO: Epoch 3216/9999, Iter 321560: Loss = 0.015518958680331707, lr = [1.25e-05] +[2024-05-27 01:13:02,929] - INFO: Epoch 3217/9999, Iter 321600: Loss = 0.006209772080183029, lr = [1.25e-05] +[2024-05-27 01:13:30,307] - INFO: Epoch 3217/9999, Iter 321640: Loss = 0.010256941430270672, lr = [1.25e-05] +[2024-05-27 01:13:57,528] - INFO: Epoch 3217/9999, Iter 321680: Loss = 0.01177966594696045, lr = [1.25e-05] +[2024-05-27 01:14:26,366] - INFO: Epoch 3218/9999, Iter 321720: Loss = 0.007326435763388872, lr = [1.25e-05] +[2024-05-27 01:14:53,600] - INFO: Epoch 3218/9999, Iter 321760: Loss = 0.009355909191071987, lr = [1.25e-05] +[2024-05-27 01:15:22,130] - INFO: Epoch 3219/9999, Iter 321800: Loss = 0.015883857384324074, lr = [1.25e-05] +[2024-05-27 01:15:49,430] - INFO: Epoch 3219/9999, Iter 321840: Loss = 0.01851860247552395, lr = [1.25e-05] +[2024-05-27 01:16:16,706] - INFO: Epoch 3219/9999, Iter 321880: Loss = 0.011038594879209995, lr = [1.25e-05] +[2024-05-27 01:16:45,342] - INFO: Epoch 3220/9999, Iter 321920: Loss = 0.007359618321061134, lr = [1.25e-05] +[2024-05-27 01:17:12,554] - INFO: Epoch 3220/9999, Iter 321960: Loss = 0.01458658091723919, lr = [1.25e-05] +[2024-05-27 01:17:39,457] - INFO: Evaluate at epoch 3220! +[2024-05-27 01:17:44,060] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:17:44,061] - INFO: Eval PSNR (current): 38.220 (3220) SSIM (current): 0.9617 (3220) +[2024-05-27 01:17:44,061] - INFO: Evaluation over. +[2024-05-27 01:17:50,788] - INFO: Epoch 3221/9999, Iter 322000: Loss = 0.01683707907795906, lr = [1.25e-05] +[2024-05-27 01:18:18,138] - INFO: Epoch 3221/9999, Iter 322040: Loss = 0.012633979320526123, lr = [1.25e-05] +[2024-05-27 01:18:45,353] - INFO: Epoch 3221/9999, Iter 322080: Loss = 0.010949181392788887, lr = [1.25e-05] +[2024-05-27 01:19:13,792] - INFO: Epoch 3222/9999, Iter 322120: Loss = 0.01858045905828476, lr = [1.25e-05] +[2024-05-27 01:19:40,933] - INFO: Epoch 3222/9999, Iter 322160: Loss = 0.007473641540855169, lr = [1.25e-05] +[2024-05-27 01:20:09,489] - INFO: Epoch 3223/9999, Iter 322200: Loss = 0.007576322183012962, lr = [1.25e-05] +[2024-05-27 01:20:36,718] - INFO: Epoch 3223/9999, Iter 322240: Loss = 0.010708079673349857, lr = [1.25e-05] +[2024-05-27 01:21:03,885] - INFO: Epoch 3223/9999, Iter 322280: Loss = 0.012779287062585354, lr = [1.25e-05] +[2024-05-27 01:21:32,630] - INFO: Epoch 3224/9999, Iter 322320: Loss = 0.016596022993326187, lr = [1.25e-05] +[2024-05-27 01:21:59,823] - INFO: Epoch 3224/9999, Iter 322360: Loss = 0.008302680216729641, lr = [1.25e-05] +[2024-05-27 01:22:28,349] - INFO: Epoch 3225/9999, Iter 322400: Loss = 0.011564833112061024, lr = [1.25e-05] +[2024-05-27 01:22:55,694] - INFO: Epoch 3225/9999, Iter 322440: Loss = 0.009075777605175972, lr = [1.25e-05] +[2024-05-27 01:23:22,846] - INFO: Epoch 3225/9999, Iter 322480: Loss = 0.015691718086600304, lr = [1.25e-05] +[2024-05-27 01:23:36,138] - INFO: Evaluate at epoch 3225! +[2024-05-27 01:23:40,817] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:23:40,818] - INFO: Eval PSNR (current): 38.250 (3225) SSIM (current): 0.9617 (3225) +[2024-05-27 01:23:40,818] - INFO: Evaluation over. +[2024-05-27 01:24:01,512] - INFO: Epoch 3226/9999, Iter 322520: Loss = 0.011574442498385906, lr = [1.25e-05] +[2024-05-27 01:24:28,782] - INFO: Epoch 3226/9999, Iter 322560: Loss = 0.016445156186819077, lr = [1.25e-05] +[2024-05-27 01:24:57,522] - INFO: Epoch 3227/9999, Iter 322600: Loss = 0.006802384741604328, lr = [1.25e-05] +[2024-05-27 01:25:24,770] - INFO: Epoch 3227/9999, Iter 322640: Loss = 0.011709981597959995, lr = [1.25e-05] +[2024-05-27 01:25:51,962] - INFO: Epoch 3227/9999, Iter 322680: Loss = 0.009007184766232967, lr = [1.25e-05] +[2024-05-27 01:26:20,970] - INFO: Epoch 3228/9999, Iter 322720: Loss = 0.011010252870619297, lr = [1.25e-05] +[2024-05-27 01:26:48,131] - INFO: Epoch 3228/9999, Iter 322760: Loss = 0.007824643515050411, lr = [1.25e-05] +[2024-05-27 01:27:16,725] - INFO: Epoch 3229/9999, Iter 322800: Loss = 0.01226773951202631, lr = [1.25e-05] +[2024-05-27 01:27:44,029] - INFO: Epoch 3229/9999, Iter 322840: Loss = 0.007912413217127323, lr = [1.25e-05] +[2024-05-27 01:28:11,191] - INFO: Epoch 3229/9999, Iter 322880: Loss = 0.010433224029839039, lr = [1.25e-05] +[2024-05-27 01:28:39,802] - INFO: Epoch 3230/9999, Iter 322920: Loss = 0.012860655784606934, lr = [1.25e-05] +[2024-05-27 01:29:07,018] - INFO: Epoch 3230/9999, Iter 322960: Loss = 0.014977597631514072, lr = [1.25e-05] +[2024-05-27 01:29:33,870] - INFO: Evaluate at epoch 3230! +[2024-05-27 01:29:38,464] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:29:38,464] - INFO: Eval PSNR (current): 38.247 (3230) SSIM (current): 0.9617 (3230) +[2024-05-27 01:29:38,464] - INFO: Evaluation over. +[2024-05-27 01:29:45,298] - INFO: Epoch 3231/9999, Iter 323000: Loss = 0.009593140333890915, lr = [1.25e-05] +[2024-05-27 01:30:12,510] - INFO: Epoch 3231/9999, Iter 323040: Loss = 0.010565020143985748, lr = [1.25e-05] +[2024-05-27 01:30:39,642] - INFO: Epoch 3231/9999, Iter 323080: Loss = 0.009106973186135292, lr = [1.25e-05] +[2024-05-27 01:31:08,352] - INFO: Epoch 3232/9999, Iter 323120: Loss = 0.012470725923776627, lr = [1.25e-05] +[2024-05-27 01:31:35,553] - INFO: Epoch 3232/9999, Iter 323160: Loss = 0.020569531247019768, lr = [1.25e-05] +[2024-05-27 01:32:04,078] - INFO: Epoch 3233/9999, Iter 323200: Loss = 0.012284894473850727, lr = [1.25e-05] +[2024-05-27 01:32:31,333] - INFO: Epoch 3233/9999, Iter 323240: Loss = 0.011974204331636429, lr = [1.25e-05] +[2024-05-27 01:32:58,512] - INFO: Epoch 3233/9999, Iter 323280: Loss = 0.007643034681677818, lr = [1.25e-05] +[2024-05-27 01:33:27,176] - INFO: Epoch 3234/9999, Iter 323320: Loss = 0.012938156723976135, lr = [1.25e-05] +[2024-05-27 01:33:54,466] - INFO: Epoch 3234/9999, Iter 323360: Loss = 0.013352902606129646, lr = [1.25e-05] +[2024-05-27 01:34:22,873] - INFO: Epoch 3235/9999, Iter 323400: Loss = 0.022480253130197525, lr = [1.25e-05] +[2024-05-27 01:34:50,176] - INFO: Epoch 3235/9999, Iter 323440: Loss = 0.016641242429614067, lr = [1.25e-05] +[2024-05-27 01:35:17,312] - INFO: Epoch 3235/9999, Iter 323480: Loss = 0.006846640259027481, lr = [1.25e-05] +[2024-05-27 01:35:30,587] - INFO: Evaluate at epoch 3235! +[2024-05-27 01:35:35,188] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:35:35,188] - INFO: Eval PSNR (current): 38.250 (3235) SSIM (current): 0.9617 (3235) +[2024-05-27 01:35:35,188] - INFO: Evaluation over. +[2024-05-27 01:35:55,764] - INFO: Epoch 3236/9999, Iter 323520: Loss = 0.017214108258485794, lr = [1.25e-05] +[2024-05-27 01:36:22,938] - INFO: Epoch 3236/9999, Iter 323560: Loss = 0.011339960619807243, lr = [1.25e-05] +[2024-05-27 01:36:51,469] - INFO: Epoch 3237/9999, Iter 323600: Loss = 0.011838508769869804, lr = [1.25e-05] +[2024-05-27 01:37:18,802] - INFO: Epoch 3237/9999, Iter 323640: Loss = 0.021055353805422783, lr = [1.25e-05] +[2024-05-27 01:37:46,057] - INFO: Epoch 3237/9999, Iter 323680: Loss = 0.010184386745095253, lr = [1.25e-05] +[2024-05-27 01:38:14,790] - INFO: Epoch 3238/9999, Iter 323720: Loss = 0.010691643692553043, lr = [1.25e-05] +[2024-05-27 01:38:42,015] - INFO: Epoch 3238/9999, Iter 323760: Loss = 0.012482775375247002, lr = [1.25e-05] +[2024-05-27 01:39:10,906] - INFO: Epoch 3239/9999, Iter 323800: Loss = 0.01697961986064911, lr = [1.25e-05] +[2024-05-27 01:39:38,198] - INFO: Epoch 3239/9999, Iter 323840: Loss = 0.005392991937696934, lr = [1.25e-05] +[2024-05-27 01:40:05,437] - INFO: Epoch 3239/9999, Iter 323880: Loss = 0.014467023313045502, lr = [1.25e-05] +[2024-05-27 01:40:34,302] - INFO: Epoch 3240/9999, Iter 323920: Loss = 0.01272421795874834, lr = [1.25e-05] +[2024-05-27 01:41:01,490] - INFO: Epoch 3240/9999, Iter 323960: Loss = 0.016485139727592468, lr = [1.25e-05] +[2024-05-27 01:41:28,298] - INFO: Evaluate at epoch 3240! +[2024-05-27 01:41:33,107] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:41:33,107] - INFO: Eval PSNR (current): 38.241 (3240) SSIM (current): 0.9617 (3240) +[2024-05-27 01:41:33,107] - INFO: Evaluation over. +[2024-05-27 01:41:40,001] - INFO: Epoch 3241/9999, Iter 324000: Loss = 0.01967022754251957, lr = [1.25e-05] +[2024-05-27 01:42:07,290] - INFO: Epoch 3241/9999, Iter 324040: Loss = 0.01711934432387352, lr = [1.25e-05] +[2024-05-27 01:42:34,479] - INFO: Epoch 3241/9999, Iter 324080: Loss = 0.018779972568154335, lr = [1.25e-05] +[2024-05-27 01:43:03,159] - INFO: Epoch 3242/9999, Iter 324120: Loss = 0.011247304268181324, lr = [1.25e-05] +[2024-05-27 01:43:30,366] - INFO: Epoch 3242/9999, Iter 324160: Loss = 0.014588313177227974, lr = [1.25e-05] +[2024-05-27 01:43:58,944] - INFO: Epoch 3243/9999, Iter 324200: Loss = 0.007820685394108295, lr = [1.25e-05] +[2024-05-27 01:44:26,190] - INFO: Epoch 3243/9999, Iter 324240: Loss = 0.01470852829515934, lr = [1.25e-05] +[2024-05-27 01:44:53,332] - INFO: Epoch 3243/9999, Iter 324280: Loss = 0.009517616592347622, lr = [1.25e-05] +[2024-05-27 01:45:22,254] - INFO: Epoch 3244/9999, Iter 324320: Loss = 0.014552203007042408, lr = [1.25e-05] +[2024-05-27 01:45:49,446] - INFO: Epoch 3244/9999, Iter 324360: Loss = 0.013300839811563492, lr = [1.25e-05] +[2024-05-27 01:46:17,968] - INFO: Epoch 3245/9999, Iter 324400: Loss = 0.01963973231613636, lr = [1.25e-05] +[2024-05-27 01:46:45,371] - INFO: Epoch 3245/9999, Iter 324440: Loss = 0.010271227918565273, lr = [1.25e-05] +[2024-05-27 01:47:12,603] - INFO: Epoch 3245/9999, Iter 324480: Loss = 0.016174690797924995, lr = [1.25e-05] +[2024-05-27 01:47:25,903] - INFO: Evaluate at epoch 3245! +[2024-05-27 01:47:35,859] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 01:47:35,859] - INFO: Eval PSNR (current): 38.253 (3245) SSIM (current): 0.9617 (3245) +[2024-05-27 01:47:35,859] - INFO: Evaluation over. +[2024-05-27 01:47:56,189] - INFO: Epoch 3246/9999, Iter 324520: Loss = 0.012274481356143951, lr = [1.25e-05] +[2024-05-27 01:48:23,464] - INFO: Epoch 3246/9999, Iter 324560: Loss = 0.006337878294289112, lr = [1.25e-05] +[2024-05-27 01:48:51,952] - INFO: Epoch 3247/9999, Iter 324600: Loss = 0.011003128252923489, lr = [1.25e-05] +[2024-05-27 01:49:19,254] - INFO: Epoch 3247/9999, Iter 324640: Loss = 0.012099885381758213, lr = [1.25e-05] +[2024-05-27 01:49:46,474] - INFO: Epoch 3247/9999, Iter 324680: Loss = 0.010898358188569546, lr = [1.25e-05] +[2024-05-27 01:50:15,122] - INFO: Epoch 3248/9999, Iter 324720: Loss = 0.014392198994755745, lr = [1.25e-05] +[2024-05-27 01:50:42,313] - INFO: Epoch 3248/9999, Iter 324760: Loss = 0.009558398276567459, lr = [1.25e-05] +[2024-05-27 01:51:10,985] - INFO: Epoch 3249/9999, Iter 324800: Loss = 0.00644106138497591, lr = [1.25e-05] +[2024-05-27 01:51:38,294] - INFO: Epoch 3249/9999, Iter 324840: Loss = 0.012902257964015007, lr = [1.25e-05] +[2024-05-27 01:52:05,479] - INFO: Epoch 3249/9999, Iter 324880: Loss = 0.01363835297524929, lr = [1.25e-05] +[2024-05-27 01:52:34,222] - INFO: Epoch 3250/9999, Iter 324920: Loss = 0.009521429426968098, lr = [1.25e-05] +[2024-05-27 01:53:01,401] - INFO: Epoch 3250/9999, Iter 324960: Loss = 0.00990245770663023, lr = [1.25e-05] +[2024-05-27 01:53:28,282] - INFO: Evaluate at epoch 3250! +[2024-05-27 01:53:32,937] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 01:53:32,937] - INFO: Eval PSNR (current): 38.239 (3250) SSIM (current): 0.9617 (3250) +[2024-05-27 01:53:32,937] - INFO: Evaluation over. +[2024-05-27 01:53:39,741] - INFO: Epoch 3251/9999, Iter 325000: Loss = 0.015683133155107498, lr = [1.25e-05] +[2024-05-27 01:54:07,038] - INFO: Epoch 3251/9999, Iter 325040: Loss = 0.010196523740887642, lr = [1.25e-05] +[2024-05-27 01:54:34,204] - INFO: Epoch 3251/9999, Iter 325080: Loss = 0.007540418300777674, lr = [1.25e-05] +[2024-05-27 01:55:02,839] - INFO: Epoch 3252/9999, Iter 325120: Loss = 0.01357922051101923, lr = [1.25e-05] +[2024-05-27 01:55:30,079] - INFO: Epoch 3252/9999, Iter 325160: Loss = 0.011903113685548306, lr = [1.25e-05] +[2024-05-27 01:55:58,623] - INFO: Epoch 3253/9999, Iter 325200: Loss = 0.01261539850383997, lr = [1.25e-05] +[2024-05-27 01:56:25,859] - INFO: Epoch 3253/9999, Iter 325240: Loss = 0.006573033519089222, lr = [1.25e-05] +[2024-05-27 01:56:53,182] - INFO: Epoch 3253/9999, Iter 325280: Loss = 0.01444251649081707, lr = [1.25e-05] +[2024-05-27 01:57:21,696] - INFO: Epoch 3254/9999, Iter 325320: Loss = 0.009831349365413189, lr = [1.25e-05] +[2024-05-27 01:57:48,866] - INFO: Epoch 3254/9999, Iter 325360: Loss = 0.016619015485048294, lr = [1.25e-05] +[2024-05-27 01:58:17,530] - INFO: Epoch 3255/9999, Iter 325400: Loss = 0.009059100411832333, lr = [1.25e-05] +[2024-05-27 01:58:44,742] - INFO: Epoch 3255/9999, Iter 325440: Loss = 0.014521232806146145, lr = [1.25e-05] +[2024-05-27 01:59:12,019] - INFO: Epoch 3255/9999, Iter 325480: Loss = 0.0175776369869709, lr = [1.25e-05] +[2024-05-27 01:59:25,281] - INFO: Evaluate at epoch 3255! +[2024-05-27 01:59:29,884] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 01:59:29,884] - INFO: Eval PSNR (current): 38.232 (3255) SSIM (current): 0.9617 (3255) +[2024-05-27 01:59:29,884] - INFO: Evaluation over. +[2024-05-27 01:59:50,338] - INFO: Epoch 3256/9999, Iter 325520: Loss = 0.008947846479713917, lr = [1.25e-05] +[2024-05-27 02:00:17,594] - INFO: Epoch 3256/9999, Iter 325560: Loss = 0.014210418798029423, lr = [1.25e-05] +[2024-05-27 02:00:46,437] - INFO: Epoch 3257/9999, Iter 325600: Loss = 0.01738159917294979, lr = [1.25e-05] +[2024-05-27 02:01:13,720] - INFO: Epoch 3257/9999, Iter 325640: Loss = 0.003884828882291913, lr = [1.25e-05] +[2024-05-27 02:01:40,869] - INFO: Epoch 3257/9999, Iter 325680: Loss = 0.012704385444521904, lr = [1.25e-05] +[2024-05-27 02:02:09,582] - INFO: Epoch 3258/9999, Iter 325720: Loss = 0.008785584010183811, lr = [1.25e-05] +[2024-05-27 02:02:36,667] - INFO: Epoch 3258/9999, Iter 325760: Loss = 0.023352662101387978, lr = [1.25e-05] +[2024-05-27 02:03:05,309] - INFO: Epoch 3259/9999, Iter 325800: Loss = 0.009475143626332283, lr = [1.25e-05] +[2024-05-27 02:03:32,518] - INFO: Epoch 3259/9999, Iter 325840: Loss = 0.00830699224025011, lr = [1.25e-05] +[2024-05-27 02:03:59,664] - INFO: Epoch 3259/9999, Iter 325880: Loss = 0.011617466807365417, lr = [1.25e-05] +[2024-05-27 02:04:28,298] - INFO: Epoch 3260/9999, Iter 325920: Loss = 0.017407266423106194, lr = [1.25e-05] +[2024-05-27 02:04:55,521] - INFO: Epoch 3260/9999, Iter 325960: Loss = 0.010525468736886978, lr = [1.25e-05] +[2024-05-27 02:05:22,405] - INFO: Evaluate at epoch 3260! +[2024-05-27 02:05:27,003] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:05:27,003] - INFO: Eval PSNR (current): 38.246 (3260) SSIM (current): 0.9617 (3260) +[2024-05-27 02:05:27,003] - INFO: Evaluation over. +[2024-05-27 02:05:34,044] - INFO: Epoch 3261/9999, Iter 326000: Loss = 0.009536867029964924, lr = [1.25e-05] +[2024-05-27 02:06:01,323] - INFO: Epoch 3261/9999, Iter 326040: Loss = 0.010125129483640194, lr = [1.25e-05] +[2024-05-27 02:06:28,479] - INFO: Epoch 3261/9999, Iter 326080: Loss = 0.017563771456480026, lr = [1.25e-05] +[2024-05-27 02:06:57,026] - INFO: Epoch 3262/9999, Iter 326120: Loss = 0.018067127093672752, lr = [1.25e-05] +[2024-05-27 02:07:24,271] - INFO: Epoch 3262/9999, Iter 326160: Loss = 0.014982396736741066, lr = [1.25e-05] +[2024-05-27 02:07:52,820] - INFO: Epoch 3263/9999, Iter 326200: Loss = 0.011848822236061096, lr = [1.25e-05] +[2024-05-27 02:08:20,078] - INFO: Epoch 3263/9999, Iter 326240: Loss = 0.02494133822619915, lr = [1.25e-05] +[2024-05-27 02:08:47,282] - INFO: Epoch 3263/9999, Iter 326280: Loss = 0.013747943565249443, lr = [1.25e-05] +[2024-05-27 02:09:15,983] - INFO: Epoch 3264/9999, Iter 326320: Loss = 0.012025060132145882, lr = [1.25e-05] +[2024-05-27 02:09:43,238] - INFO: Epoch 3264/9999, Iter 326360: Loss = 0.019756674766540527, lr = [1.25e-05] +[2024-05-27 02:10:11,670] - INFO: Epoch 3265/9999, Iter 326400: Loss = 0.020312190055847168, lr = [1.25e-05] +[2024-05-27 02:10:38,978] - INFO: Epoch 3265/9999, Iter 326440: Loss = 0.011560605838894844, lr = [1.25e-05] +[2024-05-27 02:11:06,211] - INFO: Epoch 3265/9999, Iter 326480: Loss = 0.020335087552666664, lr = [1.25e-05] +[2024-05-27 02:11:19,506] - INFO: Evaluate at epoch 3265! +[2024-05-27 02:11:24,027] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:11:24,027] - INFO: Eval PSNR (current): 38.239 (3265) SSIM (current): 0.9617 (3265) +[2024-05-27 02:11:24,027] - INFO: Evaluation over. +[2024-05-27 02:11:44,648] - INFO: Epoch 3266/9999, Iter 326520: Loss = 0.01499402429908514, lr = [1.25e-05] +[2024-05-27 02:12:11,865] - INFO: Epoch 3266/9999, Iter 326560: Loss = 0.011338366195559502, lr = [1.25e-05] +[2024-05-27 02:12:40,348] - INFO: Epoch 3267/9999, Iter 326600: Loss = 0.013866230845451355, lr = [1.25e-05] +[2024-05-27 02:13:07,632] - INFO: Epoch 3267/9999, Iter 326640: Loss = 0.012995806522667408, lr = [1.25e-05] +[2024-05-27 02:13:34,837] - INFO: Epoch 3267/9999, Iter 326680: Loss = 0.013040742836892605, lr = [1.25e-05] +[2024-05-27 02:14:03,582] - INFO: Epoch 3268/9999, Iter 326720: Loss = 0.016033345833420753, lr = [1.25e-05] +[2024-05-27 02:14:30,811] - INFO: Epoch 3268/9999, Iter 326760: Loss = 0.010051603429019451, lr = [1.25e-05] +[2024-05-27 02:14:59,413] - INFO: Epoch 3269/9999, Iter 326800: Loss = 0.010307935997843742, lr = [1.25e-05] +[2024-05-27 02:15:26,726] - INFO: Epoch 3269/9999, Iter 326840: Loss = 0.012188843451440334, lr = [1.25e-05] +[2024-05-27 02:15:53,919] - INFO: Epoch 3269/9999, Iter 326880: Loss = 0.01305701769888401, lr = [1.25e-05] +[2024-05-27 02:16:22,515] - INFO: Epoch 3270/9999, Iter 326920: Loss = 0.014570578932762146, lr = [1.25e-05] +[2024-05-27 02:16:49,665] - INFO: Epoch 3270/9999, Iter 326960: Loss = 0.016055189073085785, lr = [1.25e-05] +[2024-05-27 02:17:16,550] - INFO: Evaluate at epoch 3270! +[2024-05-27 02:17:21,172] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:17:21,173] - INFO: Eval PSNR (current): 38.232 (3270) SSIM (current): 0.9617 (3270) +[2024-05-27 02:17:21,173] - INFO: Evaluation over. +[2024-05-27 02:17:28,308] - INFO: Epoch 3271/9999, Iter 327000: Loss = 0.014963011257350445, lr = [1.25e-05] +[2024-05-27 02:17:55,587] - INFO: Epoch 3271/9999, Iter 327040: Loss = 0.018522722646594048, lr = [1.25e-05] +[2024-05-27 02:18:22,794] - INFO: Epoch 3271/9999, Iter 327080: Loss = 0.010416380129754543, lr = [1.25e-05] +[2024-05-27 02:18:51,460] - INFO: Epoch 3272/9999, Iter 327120: Loss = 0.021335968747735023, lr = [1.25e-05] +[2024-05-27 02:19:18,652] - INFO: Epoch 3272/9999, Iter 327160: Loss = 0.01381315104663372, lr = [1.25e-05] +[2024-05-27 02:19:47,110] - INFO: Epoch 3273/9999, Iter 327200: Loss = 0.015309382230043411, lr = [1.25e-05] +[2024-05-27 02:20:14,364] - INFO: Epoch 3273/9999, Iter 327240: Loss = 0.008481109514832497, lr = [1.25e-05] +[2024-05-27 02:20:41,549] - INFO: Epoch 3273/9999, Iter 327280: Loss = 0.01439377199858427, lr = [1.25e-05] +[2024-05-27 02:21:10,017] - INFO: Epoch 3274/9999, Iter 327320: Loss = 0.005991735495626926, lr = [1.25e-05] +[2024-05-27 02:21:37,246] - INFO: Epoch 3274/9999, Iter 327360: Loss = 0.011407141573727131, lr = [1.25e-05] +[2024-05-27 02:22:06,005] - INFO: Epoch 3275/9999, Iter 327400: Loss = 0.006210956256836653, lr = [1.25e-05] +[2024-05-27 02:22:33,280] - INFO: Epoch 3275/9999, Iter 327440: Loss = 0.009076162241399288, lr = [1.25e-05] +[2024-05-27 02:23:00,524] - INFO: Epoch 3275/9999, Iter 327480: Loss = 0.015488882549107075, lr = [1.25e-05] +[2024-05-27 02:23:13,837] - INFO: Evaluate at epoch 3275! +[2024-05-27 02:23:18,531] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:23:18,531] - INFO: Eval PSNR (current): 38.230 (3275) SSIM (current): 0.9617 (3275) +[2024-05-27 02:23:18,531] - INFO: Evaluation over. +[2024-05-27 02:23:39,063] - INFO: Epoch 3276/9999, Iter 327520: Loss = 0.01123493816703558, lr = [1.25e-05] +[2024-05-27 02:24:06,274] - INFO: Epoch 3276/9999, Iter 327560: Loss = 0.011684579774737358, lr = [1.25e-05] +[2024-05-27 02:24:34,769] - INFO: Epoch 3277/9999, Iter 327600: Loss = 0.022335652261972427, lr = [1.25e-05] +[2024-05-27 02:25:02,023] - INFO: Epoch 3277/9999, Iter 327640: Loss = 0.008335801772773266, lr = [1.25e-05] +[2024-05-27 02:25:29,236] - INFO: Epoch 3277/9999, Iter 327680: Loss = 0.009601748548448086, lr = [1.25e-05] +[2024-05-27 02:25:57,966] - INFO: Epoch 3278/9999, Iter 327720: Loss = 0.012110412120819092, lr = [1.25e-05] +[2024-05-27 02:26:25,158] - INFO: Epoch 3278/9999, Iter 327760: Loss = 0.01091443095356226, lr = [1.25e-05] +[2024-05-27 02:26:53,746] - INFO: Epoch 3279/9999, Iter 327800: Loss = 0.016867848113179207, lr = [1.25e-05] +[2024-05-27 02:27:21,136] - INFO: Epoch 3279/9999, Iter 327840: Loss = 0.012394535355269909, lr = [1.25e-05] +[2024-05-27 02:27:48,326] - INFO: Epoch 3279/9999, Iter 327880: Loss = 0.00887185987085104, lr = [1.25e-05] +[2024-05-27 02:28:17,082] - INFO: Epoch 3280/9999, Iter 327920: Loss = 0.0064976513385772705, lr = [1.25e-05] +[2024-05-27 02:28:44,242] - INFO: Epoch 3280/9999, Iter 327960: Loss = 0.013378600589931011, lr = [1.25e-05] +[2024-05-27 02:29:11,151] - INFO: Evaluate at epoch 3280! +[2024-05-27 02:29:15,849] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:29:15,849] - INFO: Eval PSNR (current): 38.225 (3280) SSIM (current): 0.9616 (3280) +[2024-05-27 02:29:15,849] - INFO: Evaluation over. +[2024-05-27 02:29:22,618] - INFO: Epoch 3281/9999, Iter 328000: Loss = 0.01005448680371046, lr = [1.25e-05] +[2024-05-27 02:29:49,926] - INFO: Epoch 3281/9999, Iter 328040: Loss = 0.010638082399964333, lr = [1.25e-05] +[2024-05-27 02:30:17,150] - INFO: Epoch 3281/9999, Iter 328080: Loss = 0.014097494073212147, lr = [1.25e-05] +[2024-05-27 02:30:45,595] - INFO: Epoch 3282/9999, Iter 328120: Loss = 0.011411874555051327, lr = [1.25e-05] +[2024-05-27 02:31:12,811] - INFO: Epoch 3282/9999, Iter 328160: Loss = 0.009862235747277737, lr = [1.25e-05] +[2024-05-27 02:31:41,404] - INFO: Epoch 3283/9999, Iter 328200: Loss = 0.011889621615409851, lr = [1.25e-05] +[2024-05-27 02:32:08,734] - INFO: Epoch 3283/9999, Iter 328240: Loss = 0.014603266492486, lr = [1.25e-05] +[2024-05-27 02:32:35,914] - INFO: Epoch 3283/9999, Iter 328280: Loss = 0.013499215245246887, lr = [1.25e-05] +[2024-05-27 02:33:04,691] - INFO: Epoch 3284/9999, Iter 328320: Loss = 0.007214030716568232, lr = [1.25e-05] +[2024-05-27 02:33:31,905] - INFO: Epoch 3284/9999, Iter 328360: Loss = 0.014996076002717018, lr = [1.25e-05] +[2024-05-27 02:34:00,658] - INFO: Epoch 3285/9999, Iter 328400: Loss = 0.015590250492095947, lr = [1.25e-05] +[2024-05-27 02:34:27,897] - INFO: Epoch 3285/9999, Iter 328440: Loss = 0.014907483011484146, lr = [1.25e-05] +[2024-05-27 02:34:55,158] - INFO: Epoch 3285/9999, Iter 328480: Loss = 0.01065140962600708, lr = [1.25e-05] +[2024-05-27 02:35:08,458] - INFO: Evaluate at epoch 3285! +[2024-05-27 02:35:13,160] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:35:13,160] - INFO: Eval PSNR (current): 38.230 (3285) SSIM (current): 0.9617 (3285) +[2024-05-27 02:35:13,160] - INFO: Evaluation over. +[2024-05-27 02:35:33,675] - INFO: Epoch 3286/9999, Iter 328520: Loss = 0.01382092572748661, lr = [1.25e-05] +[2024-05-27 02:36:00,861] - INFO: Epoch 3286/9999, Iter 328560: Loss = 0.01197214238345623, lr = [1.25e-05] +[2024-05-27 02:36:29,525] - INFO: Epoch 3287/9999, Iter 328600: Loss = 0.015487401746213436, lr = [1.25e-05] +[2024-05-27 02:36:56,802] - INFO: Epoch 3287/9999, Iter 328640: Loss = 0.011164216324687004, lr = [1.25e-05] +[2024-05-27 02:37:24,058] - INFO: Epoch 3287/9999, Iter 328680: Loss = 0.013369105756282806, lr = [1.25e-05] +[2024-05-27 02:37:52,550] - INFO: Epoch 3288/9999, Iter 328720: Loss = 0.013559575192630291, lr = [1.25e-05] +[2024-05-27 02:38:19,782] - INFO: Epoch 3288/9999, Iter 328760: Loss = 0.010138040408492088, lr = [1.25e-05] +[2024-05-27 02:38:48,284] - INFO: Epoch 3289/9999, Iter 328800: Loss = 0.006560048554092646, lr = [1.25e-05] +[2024-05-27 02:39:15,627] - INFO: Epoch 3289/9999, Iter 328840: Loss = 0.018028968945145607, lr = [1.25e-05] +[2024-05-27 02:39:42,837] - INFO: Epoch 3289/9999, Iter 328880: Loss = 0.008165267296135426, lr = [1.25e-05] +[2024-05-27 02:40:11,755] - INFO: Epoch 3290/9999, Iter 328920: Loss = 0.008513103239238262, lr = [1.25e-05] +[2024-05-27 02:40:38,909] - INFO: Epoch 3290/9999, Iter 328960: Loss = 0.012912302277982235, lr = [1.25e-05] +[2024-05-27 02:41:05,780] - INFO: Evaluate at epoch 3290! +[2024-05-27 02:41:10,424] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:41:10,424] - INFO: Eval PSNR (current): 38.241 (3290) SSIM (current): 0.9617 (3290) +[2024-05-27 02:41:10,424] - INFO: Evaluation over. +[2024-05-27 02:41:17,140] - INFO: Epoch 3291/9999, Iter 329000: Loss = 0.018010301515460014, lr = [1.25e-05] +[2024-05-27 02:41:44,548] - INFO: Epoch 3291/9999, Iter 329040: Loss = 0.010611341334879398, lr = [1.25e-05] +[2024-05-27 02:42:11,796] - INFO: Epoch 3291/9999, Iter 329080: Loss = 0.01032788772135973, lr = [1.25e-05] +[2024-05-27 02:42:40,718] - INFO: Epoch 3292/9999, Iter 329120: Loss = 0.009577981196343899, lr = [1.25e-05] +[2024-05-27 02:43:07,973] - INFO: Epoch 3292/9999, Iter 329160: Loss = 0.015391705557703972, lr = [1.25e-05] +[2024-05-27 02:43:36,430] - INFO: Epoch 3293/9999, Iter 329200: Loss = 0.022052763029932976, lr = [1.25e-05] +[2024-05-27 02:44:03,755] - INFO: Epoch 3293/9999, Iter 329240: Loss = 0.00669535668566823, lr = [1.25e-05] +[2024-05-27 02:44:30,862] - INFO: Epoch 3293/9999, Iter 329280: Loss = 0.014170026406645775, lr = [1.25e-05] +[2024-05-27 02:44:59,478] - INFO: Epoch 3294/9999, Iter 329320: Loss = 0.010058621875941753, lr = [1.25e-05] +[2024-05-27 02:45:26,684] - INFO: Epoch 3294/9999, Iter 329360: Loss = 0.00948596652597189, lr = [1.25e-05] +[2024-05-27 02:45:55,429] - INFO: Epoch 3295/9999, Iter 329400: Loss = 0.013107839971780777, lr = [1.25e-05] +[2024-05-27 02:46:22,736] - INFO: Epoch 3295/9999, Iter 329440: Loss = 0.01032319013029337, lr = [1.25e-05] +[2024-05-27 02:46:49,937] - INFO: Epoch 3295/9999, Iter 329480: Loss = 0.0066464245319366455, lr = [1.25e-05] +[2024-05-27 02:47:03,222] - INFO: Evaluate at epoch 3295! +[2024-05-27 02:47:07,851] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:47:07,851] - INFO: Eval PSNR (current): 38.244 (3295) SSIM (current): 0.9617 (3295) +[2024-05-27 02:47:07,851] - INFO: Evaluation over. +[2024-05-27 02:47:28,272] - INFO: Epoch 3296/9999, Iter 329520: Loss = 0.019914569333195686, lr = [1.25e-05] +[2024-05-27 02:47:55,491] - INFO: Epoch 3296/9999, Iter 329560: Loss = 0.014411233365535736, lr = [1.25e-05] +[2024-05-27 02:48:24,033] - INFO: Epoch 3297/9999, Iter 329600: Loss = 0.016879448667168617, lr = [1.25e-05] +[2024-05-27 02:48:51,246] - INFO: Epoch 3297/9999, Iter 329640: Loss = 0.010025376453995705, lr = [1.25e-05] +[2024-05-27 02:49:18,382] - INFO: Epoch 3297/9999, Iter 329680: Loss = 0.011549514718353748, lr = [1.25e-05] +[2024-05-27 02:49:47,035] - INFO: Epoch 3298/9999, Iter 329720: Loss = 0.01799887791275978, lr = [1.25e-05] +[2024-05-27 02:50:14,222] - INFO: Epoch 3298/9999, Iter 329760: Loss = 0.01110139675438404, lr = [1.25e-05] +[2024-05-27 02:50:42,667] - INFO: Epoch 3299/9999, Iter 329800: Loss = 0.016170181334018707, lr = [1.25e-05] +[2024-05-27 02:51:09,985] - INFO: Epoch 3299/9999, Iter 329840: Loss = 0.009588174521923065, lr = [1.25e-05] +[2024-05-27 02:51:37,179] - INFO: Epoch 3299/9999, Iter 329880: Loss = 0.017647096887230873, lr = [1.25e-05] +[2024-05-27 02:52:05,818] - INFO: Epoch 3300/9999, Iter 329920: Loss = 0.010157900862395763, lr = [1.25e-05] +[2024-05-27 02:52:32,950] - INFO: Epoch 3300/9999, Iter 329960: Loss = 0.02210083231329918, lr = [1.25e-05] +[2024-05-27 02:52:59,832] - INFO: Evaluate at epoch 3300! +[2024-05-27 02:53:04,509] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:53:04,509] - INFO: Eval PSNR (current): 38.227 (3300) SSIM (current): 0.9617 (3300) +[2024-05-27 02:53:04,509] - INFO: Evaluation over. +[2024-05-27 02:53:11,428] - INFO: Epoch 3301/9999, Iter 330000: Loss = 0.017111804336309433, lr = [1.25e-05] +[2024-05-27 02:53:38,607] - INFO: Epoch 3301/9999, Iter 330040: Loss = 0.020077800378203392, lr = [1.25e-05] +[2024-05-27 02:54:05,810] - INFO: Epoch 3301/9999, Iter 330080: Loss = 0.014323661103844643, lr = [1.25e-05] +[2024-05-27 02:54:34,642] - INFO: Epoch 3302/9999, Iter 330120: Loss = 0.015985487028956413, lr = [1.25e-05] +[2024-05-27 02:55:01,846] - INFO: Epoch 3302/9999, Iter 330160: Loss = 0.02265559509396553, lr = [1.25e-05] +[2024-05-27 02:55:30,497] - INFO: Epoch 3303/9999, Iter 330200: Loss = 0.013386688195168972, lr = [1.25e-05] +[2024-05-27 02:55:57,767] - INFO: Epoch 3303/9999, Iter 330240: Loss = 0.01585022360086441, lr = [1.25e-05] +[2024-05-27 02:56:24,927] - INFO: Epoch 3303/9999, Iter 330280: Loss = 0.007260824088007212, lr = [1.25e-05] +[2024-05-27 02:56:53,662] - INFO: Epoch 3304/9999, Iter 330320: Loss = 0.014998882077634335, lr = [1.25e-05] +[2024-05-27 02:57:20,898] - INFO: Epoch 3304/9999, Iter 330360: Loss = 0.005263123195618391, lr = [1.25e-05] +[2024-05-27 02:57:49,530] - INFO: Epoch 3305/9999, Iter 330400: Loss = 0.009637229144573212, lr = [1.25e-05] +[2024-05-27 02:58:16,835] - INFO: Epoch 3305/9999, Iter 330440: Loss = 0.012289362959563732, lr = [1.25e-05] +[2024-05-27 02:58:44,008] - INFO: Epoch 3305/9999, Iter 330480: Loss = 0.0128843504935503, lr = [1.25e-05] +[2024-05-27 02:58:57,319] - INFO: Evaluate at epoch 3305! +[2024-05-27 02:59:02,015] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:59:02,015] - INFO: Eval PSNR (current): 38.245 (3305) SSIM (current): 0.9617 (3305) +[2024-05-27 02:59:02,015] - INFO: Evaluation over. +[2024-05-27 02:59:22,750] - INFO: Epoch 3306/9999, Iter 330520: Loss = 0.02050163596868515, lr = [1.25e-05] +[2024-05-27 02:59:49,959] - INFO: Epoch 3306/9999, Iter 330560: Loss = 0.009957683272659779, lr = [1.25e-05] +[2024-05-27 03:00:18,388] - INFO: Epoch 3307/9999, Iter 330600: Loss = 0.016361786052584648, lr = [1.25e-05] +[2024-05-27 03:00:45,737] - INFO: Epoch 3307/9999, Iter 330640: Loss = 0.011576707474887371, lr = [1.25e-05] +[2024-05-27 03:01:12,990] - INFO: Epoch 3307/9999, Iter 330680: Loss = 0.011359603144228458, lr = [1.25e-05] +[2024-05-27 03:01:41,606] - INFO: Epoch 3308/9999, Iter 330720: Loss = 0.012691991403698921, lr = [1.25e-05] +[2024-05-27 03:02:08,867] - INFO: Epoch 3308/9999, Iter 330760: Loss = 0.024359114468097687, lr = [1.25e-05] +[2024-05-27 03:02:37,536] - INFO: Epoch 3309/9999, Iter 330800: Loss = 0.009935397654771805, lr = [1.25e-05] +[2024-05-27 03:03:04,844] - INFO: Epoch 3309/9999, Iter 330840: Loss = 0.010938422754406929, lr = [1.25e-05] +[2024-05-27 03:03:32,003] - INFO: Epoch 3309/9999, Iter 330880: Loss = 0.007009189575910568, lr = [1.25e-05] +[2024-05-27 03:04:00,791] - INFO: Epoch 3310/9999, Iter 330920: Loss = 0.013598114252090454, lr = [1.25e-05] +[2024-05-27 03:04:27,945] - INFO: Epoch 3310/9999, Iter 330960: Loss = 0.010031257756054401, lr = [1.25e-05] +[2024-05-27 03:04:54,835] - INFO: Evaluate at epoch 3310! +[2024-05-27 03:04:59,309] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:04:59,309] - INFO: Eval PSNR (current): 38.243 (3310) SSIM (current): 0.9617 (3310) +[2024-05-27 03:04:59,309] - INFO: Evaluation over. +[2024-05-27 03:05:06,048] - INFO: Epoch 3311/9999, Iter 331000: Loss = 0.014878962188959122, lr = [1.25e-05] +[2024-05-27 03:05:33,384] - INFO: Epoch 3311/9999, Iter 331040: Loss = 0.007469381671398878, lr = [1.25e-05] +[2024-05-27 03:06:00,622] - INFO: Epoch 3311/9999, Iter 331080: Loss = 0.015677567571401596, lr = [1.25e-05] +[2024-05-27 03:06:29,202] - INFO: Epoch 3312/9999, Iter 331120: Loss = 0.00847137812525034, lr = [1.25e-05] +[2024-05-27 03:06:56,391] - INFO: Epoch 3312/9999, Iter 331160: Loss = 0.012235121801495552, lr = [1.25e-05] +[2024-05-27 03:07:24,989] - INFO: Epoch 3313/9999, Iter 331200: Loss = 0.007787606213241816, lr = [1.25e-05] +[2024-05-27 03:07:52,308] - INFO: Epoch 3313/9999, Iter 331240: Loss = 0.012593580409884453, lr = [1.25e-05] +[2024-05-27 03:08:19,512] - INFO: Epoch 3313/9999, Iter 331280: Loss = 0.009822536259889603, lr = [1.25e-05] +[2024-05-27 03:08:48,418] - INFO: Epoch 3314/9999, Iter 331320: Loss = 0.012508435174822807, lr = [1.25e-05] +[2024-05-27 03:09:15,589] - INFO: Epoch 3314/9999, Iter 331360: Loss = 0.016602734103798866, lr = [1.25e-05] +[2024-05-27 03:09:44,077] - INFO: Epoch 3315/9999, Iter 331400: Loss = 0.01362414937466383, lr = [1.25e-05] +[2024-05-27 03:10:11,410] - INFO: Epoch 3315/9999, Iter 331440: Loss = 0.00703028030693531, lr = [1.25e-05] +[2024-05-27 03:10:38,557] - INFO: Epoch 3315/9999, Iter 331480: Loss = 0.008278749883174896, lr = [1.25e-05] +[2024-05-27 03:10:51,831] - INFO: Evaluate at epoch 3315! +[2024-05-27 03:10:56,443] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:10:56,443] - INFO: Eval PSNR (current): 38.237 (3315) SSIM (current): 0.9617 (3315) +[2024-05-27 03:10:56,443] - INFO: Evaluation over. +[2024-05-27 03:11:16,818] - INFO: Epoch 3316/9999, Iter 331520: Loss = 0.01592002436518669, lr = [1.25e-05] +[2024-05-27 03:11:43,991] - INFO: Epoch 3316/9999, Iter 331560: Loss = 0.013359913602471352, lr = [1.25e-05] +[2024-05-27 03:12:12,644] - INFO: Epoch 3317/9999, Iter 331600: Loss = 0.009582371450960636, lr = [1.25e-05] +[2024-05-27 03:12:39,952] - INFO: Epoch 3317/9999, Iter 331640: Loss = 0.015774691477417946, lr = [1.25e-05] +[2024-05-27 03:13:07,160] - INFO: Epoch 3317/9999, Iter 331680: Loss = 0.013138552196323872, lr = [1.25e-05] +[2024-05-27 03:13:35,788] - INFO: Epoch 3318/9999, Iter 331720: Loss = 0.006896187551319599, lr = [1.25e-05] +[2024-05-27 03:14:02,977] - INFO: Epoch 3318/9999, Iter 331760: Loss = 0.004741967655718327, lr = [1.25e-05] +[2024-05-27 03:14:31,713] - INFO: Epoch 3319/9999, Iter 331800: Loss = 0.01805955171585083, lr = [1.25e-05] +[2024-05-27 03:14:59,017] - INFO: Epoch 3319/9999, Iter 331840: Loss = 0.011105716228485107, lr = [1.25e-05] +[2024-05-27 03:15:26,250] - INFO: Epoch 3319/9999, Iter 331880: Loss = 0.018209492787718773, lr = [1.25e-05] +[2024-05-27 03:15:54,813] - INFO: Epoch 3320/9999, Iter 331920: Loss = 0.01876520924270153, lr = [1.25e-05] +[2024-05-27 03:16:22,023] - INFO: Epoch 3320/9999, Iter 331960: Loss = 0.010416415520012379, lr = [1.25e-05] +[2024-05-27 03:16:48,975] - INFO: Evaluate at epoch 3320! +[2024-05-27 03:16:53,623] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:16:53,623] - INFO: Eval PSNR (current): 38.238 (3320) SSIM (current): 0.9617 (3320) +[2024-05-27 03:16:53,623] - INFO: Evaluation over. +[2024-05-27 03:17:00,468] - INFO: Epoch 3321/9999, Iter 332000: Loss = 0.006638471968472004, lr = [1.25e-05] +[2024-05-27 03:17:27,906] - INFO: Epoch 3321/9999, Iter 332040: Loss = 0.012551446445286274, lr = [1.25e-05] +[2024-05-27 03:17:55,067] - INFO: Epoch 3321/9999, Iter 332080: Loss = 0.017537090927362442, lr = [1.25e-05] +[2024-05-27 03:18:23,794] - INFO: Epoch 3322/9999, Iter 332120: Loss = 0.0126109654083848, lr = [1.25e-05] +[2024-05-27 03:18:51,050] - INFO: Epoch 3322/9999, Iter 332160: Loss = 0.008846144191920757, lr = [1.25e-05] +[2024-05-27 03:19:19,841] - INFO: Epoch 3323/9999, Iter 332200: Loss = 0.009441979229450226, lr = [1.25e-05] +[2024-05-27 03:19:47,153] - INFO: Epoch 3323/9999, Iter 332240: Loss = 0.005081575363874435, lr = [1.25e-05] +[2024-05-27 03:20:14,312] - INFO: Epoch 3323/9999, Iter 332280: Loss = 0.00782905425876379, lr = [1.25e-05] +[2024-05-27 03:20:42,842] - INFO: Epoch 3324/9999, Iter 332320: Loss = 0.0181120652705431, lr = [1.25e-05] +[2024-05-27 03:21:10,138] - INFO: Epoch 3324/9999, Iter 332360: Loss = 0.008704187348484993, lr = [1.25e-05] +[2024-05-27 03:21:38,777] - INFO: Epoch 3325/9999, Iter 332400: Loss = 0.014171571470797062, lr = [1.25e-05] +[2024-05-27 03:22:06,041] - INFO: Epoch 3325/9999, Iter 332440: Loss = 0.013423244468867779, lr = [1.25e-05] +[2024-05-27 03:22:33,234] - INFO: Epoch 3325/9999, Iter 332480: Loss = 0.011643828824162483, lr = [1.25e-05] +[2024-05-27 03:22:46,535] - INFO: Evaluate at epoch 3325! +[2024-05-27 03:22:51,075] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:22:51,076] - INFO: Eval PSNR (current): 38.229 (3325) SSIM (current): 0.9617 (3325) +[2024-05-27 03:22:51,076] - INFO: Evaluation over. +[2024-05-27 03:23:11,478] - INFO: Epoch 3326/9999, Iter 332520: Loss = 0.009620225057005882, lr = [1.25e-05] +[2024-05-27 03:23:38,736] - INFO: Epoch 3326/9999, Iter 332560: Loss = 0.010743816383183002, lr = [1.25e-05] +[2024-05-27 03:24:07,278] - INFO: Epoch 3327/9999, Iter 332600: Loss = 0.010229730978608131, lr = [1.25e-05] +[2024-05-27 03:24:34,682] - INFO: Epoch 3327/9999, Iter 332640: Loss = 0.022808745503425598, lr = [1.25e-05] +[2024-05-27 03:25:01,820] - INFO: Epoch 3327/9999, Iter 332680: Loss = 0.006447156425565481, lr = [1.25e-05] +[2024-05-27 03:25:30,575] - INFO: Epoch 3328/9999, Iter 332720: Loss = 0.009846468456089497, lr = [1.25e-05] +[2024-05-27 03:25:57,850] - INFO: Epoch 3328/9999, Iter 332760: Loss = 0.005893318448215723, lr = [1.25e-05] +[2024-05-27 03:26:26,349] - INFO: Epoch 3329/9999, Iter 332800: Loss = 0.014733158983290195, lr = [1.25e-05] +[2024-05-27 03:26:53,686] - INFO: Epoch 3329/9999, Iter 332840: Loss = 0.013924670405685902, lr = [1.25e-05] +[2024-05-27 03:27:20,843] - INFO: Epoch 3329/9999, Iter 332880: Loss = 0.010416083037853241, lr = [1.25e-05] +[2024-05-27 03:27:49,619] - INFO: Epoch 3330/9999, Iter 332920: Loss = 0.008764947764575481, lr = [1.25e-05] +[2024-05-27 03:28:16,845] - INFO: Epoch 3330/9999, Iter 332960: Loss = 0.015557865612208843, lr = [1.25e-05] +[2024-05-27 03:28:43,694] - INFO: Evaluate at epoch 3330! +[2024-05-27 03:28:48,282] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:28:48,282] - INFO: Eval PSNR (current): 38.222 (3330) SSIM (current): 0.9617 (3330) +[2024-05-27 03:28:48,282] - INFO: Evaluation over. +[2024-05-27 03:28:55,581] - INFO: Epoch 3331/9999, Iter 333000: Loss = 0.009643805213272572, lr = [1.25e-05] +[2024-05-27 03:29:22,960] - INFO: Epoch 3331/9999, Iter 333040: Loss = 0.013558272272348404, lr = [1.25e-05] +[2024-05-27 03:29:50,174] - INFO: Epoch 3331/9999, Iter 333080: Loss = 0.0066602504812181, lr = [1.25e-05] +[2024-05-27 03:30:18,754] - INFO: Epoch 3332/9999, Iter 333120: Loss = 0.010916699655354023, lr = [1.25e-05] +[2024-05-27 03:30:46,000] - INFO: Epoch 3332/9999, Iter 333160: Loss = 0.014233270660042763, lr = [1.25e-05] +[2024-05-27 03:31:14,686] - INFO: Epoch 3333/9999, Iter 333200: Loss = 0.020604368299245834, lr = [1.25e-05] +[2024-05-27 03:31:41,993] - INFO: Epoch 3333/9999, Iter 333240: Loss = 0.007146434858441353, lr = [1.25e-05] +[2024-05-27 03:32:09,172] - INFO: Epoch 3333/9999, Iter 333280: Loss = 0.008706631138920784, lr = [1.25e-05] +[2024-05-27 03:32:37,814] - INFO: Epoch 3334/9999, Iter 333320: Loss = 0.0096104322001338, lr = [1.25e-05] +[2024-05-27 03:33:05,020] - INFO: Epoch 3334/9999, Iter 333360: Loss = 0.009985528886318207, lr = [1.25e-05] +[2024-05-27 03:33:33,431] - INFO: Epoch 3335/9999, Iter 333400: Loss = 0.014172988012433052, lr = [1.25e-05] +[2024-05-27 03:34:00,771] - INFO: Epoch 3335/9999, Iter 333440: Loss = 0.007593967951834202, lr = [1.25e-05] +[2024-05-27 03:34:27,943] - INFO: Epoch 3335/9999, Iter 333480: Loss = 0.008878935128450394, lr = [1.25e-05] +[2024-05-27 03:34:41,183] - INFO: Evaluate at epoch 3335! +[2024-05-27 03:34:45,646] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:34:45,646] - INFO: Eval PSNR (current): 38.242 (3335) SSIM (current): 0.9617 (3335) +[2024-05-27 03:34:45,646] - INFO: Evaluation over. +[2024-05-27 03:35:06,172] - INFO: Epoch 3336/9999, Iter 333520: Loss = 0.013462400063872337, lr = [1.25e-05] +[2024-05-27 03:35:33,376] - INFO: Epoch 3336/9999, Iter 333560: Loss = 0.01695401407778263, lr = [1.25e-05] +[2024-05-27 03:36:01,833] - INFO: Epoch 3337/9999, Iter 333600: Loss = 0.01884683407843113, lr = [1.25e-05] +[2024-05-27 03:36:29,201] - INFO: Epoch 3337/9999, Iter 333640: Loss = 0.016788654029369354, lr = [1.25e-05] +[2024-05-27 03:36:56,398] - INFO: Epoch 3337/9999, Iter 333680: Loss = 0.007957883179187775, lr = [1.25e-05] +[2024-05-27 03:37:24,953] - INFO: Epoch 3338/9999, Iter 333720: Loss = 0.010984335094690323, lr = [1.25e-05] +[2024-05-27 03:37:54,303] - INFO: Epoch 3338/9999, Iter 333760: Loss = 0.008209710009396076, lr = [1.25e-05] +[2024-05-27 03:38:28,841] - INFO: Epoch 3339/9999, Iter 333800: Loss = 0.012004868127405643, lr = [1.25e-05] +[2024-05-27 03:38:57,586] - INFO: Epoch 3339/9999, Iter 333840: Loss = 0.007540114689618349, lr = [1.25e-05] +[2024-05-27 03:39:24,839] - INFO: Epoch 3339/9999, Iter 333880: Loss = 0.015153932385146618, lr = [1.25e-05] +[2024-05-27 03:40:02,552] - INFO: Epoch 3340/9999, Iter 333920: Loss = 0.013173114508390427, lr = [1.25e-05] +[2024-05-27 03:40:29,759] - INFO: Epoch 3340/9999, Iter 333960: Loss = 0.006951056886464357, lr = [1.25e-05] +[2024-05-27 03:40:59,300] - INFO: Evaluate at epoch 3340! +[2024-05-27 03:41:04,092] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:41:04,092] - INFO: Eval PSNR (current): 38.245 (3340) SSIM (current): 0.9617 (3340) +[2024-05-27 03:41:04,092] - INFO: Evaluation over. +[2024-05-27 03:41:11,044] - INFO: Epoch 3341/9999, Iter 334000: Loss = 0.013302329927682877, lr = [1.25e-05] +[2024-05-27 03:41:38,416] - INFO: Epoch 3341/9999, Iter 334040: Loss = 0.006727882660925388, lr = [1.25e-05] +[2024-05-27 03:42:05,899] - INFO: Epoch 3341/9999, Iter 334080: Loss = 0.009258215315639973, lr = [1.25e-05] +[2024-05-27 03:42:35,050] - INFO: Epoch 3342/9999, Iter 334120: Loss = 0.014863396063446999, lr = [1.25e-05] +[2024-05-27 03:43:03,000] - INFO: Epoch 3342/9999, Iter 334160: Loss = 0.007879394106566906, lr = [1.25e-05] +[2024-05-27 03:43:31,920] - INFO: Epoch 3343/9999, Iter 334200: Loss = 0.01331394910812378, lr = [1.25e-05] +[2024-05-27 03:43:59,822] - INFO: Epoch 3343/9999, Iter 334240: Loss = 0.01319607812911272, lr = [1.25e-05] +[2024-05-27 03:44:27,139] - INFO: Epoch 3343/9999, Iter 334280: Loss = 0.0076154544949531555, lr = [1.25e-05] +[2024-05-27 03:44:57,949] - INFO: Epoch 3344/9999, Iter 334320: Loss = 0.015481207519769669, lr = [1.25e-05] +[2024-05-27 03:45:25,165] - INFO: Epoch 3344/9999, Iter 334360: Loss = 0.01223716326057911, lr = [1.25e-05] +[2024-05-27 03:45:54,529] - INFO: Epoch 3345/9999, Iter 334400: Loss = 0.009743977338075638, lr = [1.25e-05] +[2024-05-27 03:46:21,815] - INFO: Epoch 3345/9999, Iter 334440: Loss = 0.015991153195500374, lr = [1.25e-05] +[2024-05-27 03:46:49,018] - INFO: Epoch 3345/9999, Iter 334480: Loss = 0.017203591763973236, lr = [1.25e-05] +[2024-05-27 03:47:02,273] - INFO: Evaluate at epoch 3345! +[2024-05-27 03:47:06,977] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:47:06,977] - INFO: Eval PSNR (current): 38.248 (3345) SSIM (current): 0.9617 (3345) +[2024-05-27 03:47:06,977] - INFO: Evaluation over. +[2024-05-27 03:47:28,022] - INFO: Epoch 3346/9999, Iter 334520: Loss = 0.011814676225185394, lr = [1.25e-05] +[2024-05-27 03:47:55,214] - INFO: Epoch 3346/9999, Iter 334560: Loss = 0.013401331380009651, lr = [1.25e-05] +[2024-05-27 03:48:23,752] - INFO: Epoch 3347/9999, Iter 334600: Loss = 0.013953314162790775, lr = [1.25e-05] +[2024-05-27 03:48:51,154] - INFO: Epoch 3347/9999, Iter 334640: Loss = 0.015449998900294304, lr = [1.25e-05] +[2024-05-27 03:49:18,291] - INFO: Epoch 3347/9999, Iter 334680: Loss = 0.012849218212068081, lr = [1.25e-05] +[2024-05-27 03:49:46,949] - INFO: Epoch 3348/9999, Iter 334720: Loss = 0.009750095196068287, lr = [1.25e-05] +[2024-05-27 03:50:14,150] - INFO: Epoch 3348/9999, Iter 334760: Loss = 0.019805096089839935, lr = [1.25e-05] +[2024-05-27 03:50:43,013] - INFO: Epoch 3349/9999, Iter 334800: Loss = 0.00620465911924839, lr = [1.25e-05] +[2024-05-27 03:51:10,230] - INFO: Epoch 3349/9999, Iter 334840: Loss = 0.010138832032680511, lr = [1.25e-05] +[2024-05-27 03:51:37,418] - INFO: Epoch 3349/9999, Iter 334880: Loss = 0.0157620832324028, lr = [1.25e-05] +[2024-05-27 03:52:05,995] - INFO: Epoch 3350/9999, Iter 334920: Loss = 0.009981147013604641, lr = [1.25e-05] +[2024-05-27 03:52:33,174] - INFO: Epoch 3350/9999, Iter 334960: Loss = 0.010599685832858086, lr = [1.25e-05] +[2024-05-27 03:53:00,090] - INFO: Evaluate at epoch 3350! +[2024-05-27 03:53:04,764] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:53:04,764] - INFO: Eval PSNR (current): 38.246 (3350) SSIM (current): 0.9617 (3350) +[2024-05-27 03:53:04,764] - INFO: Evaluation over. +[2024-05-27 03:53:11,700] - INFO: Epoch 3351/9999, Iter 335000: Loss = 0.007332273293286562, lr = [1.25e-05] +[2024-05-27 03:53:38,938] - INFO: Epoch 3351/9999, Iter 335040: Loss = 0.009161485359072685, lr = [1.25e-05] +[2024-05-27 03:54:06,122] - INFO: Epoch 3351/9999, Iter 335080: Loss = 0.014515317045152187, lr = [1.25e-05] +[2024-05-27 03:54:34,895] - INFO: Epoch 3352/9999, Iter 335120: Loss = 0.007705505471676588, lr = [1.25e-05] +[2024-05-27 03:55:02,075] - INFO: Epoch 3352/9999, Iter 335160: Loss = 0.01324463076889515, lr = [1.25e-05] +[2024-05-27 03:55:30,669] - INFO: Epoch 3353/9999, Iter 335200: Loss = 0.01498898770660162, lr = [1.25e-05] +[2024-05-27 03:55:57,911] - INFO: Epoch 3353/9999, Iter 335240: Loss = 0.009655195288360119, lr = [1.25e-05] +[2024-05-27 03:56:25,170] - INFO: Epoch 3353/9999, Iter 335280: Loss = 0.00889758300036192, lr = [1.25e-05] +[2024-05-27 03:56:53,902] - INFO: Epoch 3354/9999, Iter 335320: Loss = 0.01215367391705513, lr = [1.25e-05] +[2024-05-27 03:57:21,050] - INFO: Epoch 3354/9999, Iter 335360: Loss = 0.0064910463988780975, lr = [1.25e-05] +[2024-05-27 03:57:49,776] - INFO: Epoch 3355/9999, Iter 335400: Loss = 0.014948553405702114, lr = [1.25e-05] +[2024-05-27 03:58:17,092] - INFO: Epoch 3355/9999, Iter 335440: Loss = 0.008638649247586727, lr = [1.25e-05] +[2024-05-27 03:58:44,278] - INFO: Epoch 3355/9999, Iter 335480: Loss = 0.021113239228725433, lr = [1.25e-05] +[2024-05-27 03:58:57,567] - INFO: Evaluate at epoch 3355! +[2024-05-27 03:59:02,267] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:59:02,267] - INFO: Eval PSNR (current): 38.226 (3355) SSIM (current): 0.9617 (3355) +[2024-05-27 03:59:02,267] - INFO: Evaluation over. +[2024-05-27 03:59:22,738] - INFO: Epoch 3356/9999, Iter 335520: Loss = 0.009252850897610188, lr = [1.25e-05] +[2024-05-27 03:59:49,976] - INFO: Epoch 3356/9999, Iter 335560: Loss = 0.012004961259663105, lr = [1.25e-05] +[2024-05-27 04:00:18,582] - INFO: Epoch 3357/9999, Iter 335600: Loss = 0.01314535178244114, lr = [1.25e-05] +[2024-05-27 04:00:45,846] - INFO: Epoch 3357/9999, Iter 335640: Loss = 0.007643085904419422, lr = [1.25e-05] +[2024-05-27 04:01:13,038] - INFO: Epoch 3357/9999, Iter 335680: Loss = 0.008409672416746616, lr = [1.25e-05] +[2024-05-27 04:01:41,738] - INFO: Epoch 3358/9999, Iter 335720: Loss = 0.007270560599863529, lr = [1.25e-05] +[2024-05-27 04:02:08,944] - INFO: Epoch 3358/9999, Iter 335760: Loss = 0.017026381567120552, lr = [1.25e-05] +[2024-05-27 04:02:37,620] - INFO: Epoch 3359/9999, Iter 335800: Loss = 0.005584651604294777, lr = [1.25e-05] +[2024-05-27 04:03:04,908] - INFO: Epoch 3359/9999, Iter 335840: Loss = 0.014340989291667938, lr = [1.25e-05] +[2024-05-27 04:03:32,065] - INFO: Epoch 3359/9999, Iter 335880: Loss = 0.012793046422302723, lr = [1.25e-05] +[2024-05-27 04:04:00,813] - INFO: Epoch 3360/9999, Iter 335920: Loss = 0.016072584316134453, lr = [1.25e-05] +[2024-05-27 04:04:27,954] - INFO: Epoch 3360/9999, Iter 335960: Loss = 0.006773684173822403, lr = [1.25e-05] +[2024-05-27 04:04:54,937] - INFO: Evaluate at epoch 3360! +[2024-05-27 04:04:59,658] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:04:59,659] - INFO: Eval PSNR (current): 38.241 (3360) SSIM (current): 0.9617 (3360) +[2024-05-27 04:04:59,659] - INFO: Evaluation over. +[2024-05-27 04:05:06,468] - INFO: Epoch 3361/9999, Iter 336000: Loss = 0.013898522593080997, lr = [1.25e-05] +[2024-05-27 04:05:33,706] - INFO: Epoch 3361/9999, Iter 336040: Loss = 0.017802942544221878, lr = [1.25e-05] +[2024-05-27 04:06:00,881] - INFO: Epoch 3361/9999, Iter 336080: Loss = 0.011708671227097511, lr = [1.25e-05] +[2024-05-27 04:06:29,458] - INFO: Epoch 3362/9999, Iter 336120: Loss = 0.015162253752350807, lr = [1.25e-05] +[2024-05-27 04:06:56,662] - INFO: Epoch 3362/9999, Iter 336160: Loss = 0.01705428957939148, lr = [1.25e-05] +[2024-05-27 04:07:25,197] - INFO: Epoch 3363/9999, Iter 336200: Loss = 0.012957487255334854, lr = [1.25e-05] +[2024-05-27 04:07:52,467] - INFO: Epoch 3363/9999, Iter 336240: Loss = 0.010713554918766022, lr = [1.25e-05] +[2024-05-27 04:08:19,683] - INFO: Epoch 3363/9999, Iter 336280: Loss = 0.01230656448751688, lr = [1.25e-05] +[2024-05-27 04:08:48,410] - INFO: Epoch 3364/9999, Iter 336320: Loss = 0.010251280851662159, lr = [1.25e-05] +[2024-05-27 04:09:15,555] - INFO: Epoch 3364/9999, Iter 336360: Loss = 0.00874234177172184, lr = [1.25e-05] +[2024-05-27 04:09:43,862] - INFO: Epoch 3365/9999, Iter 336400: Loss = 0.012510308995842934, lr = [1.25e-05] +[2024-05-27 04:10:11,093] - INFO: Epoch 3365/9999, Iter 336440: Loss = 0.011031875386834145, lr = [1.25e-05] +[2024-05-27 04:10:38,294] - INFO: Epoch 3365/9999, Iter 336480: Loss = 0.012558604590594769, lr = [1.25e-05] +[2024-05-27 04:10:51,701] - INFO: Evaluate at epoch 3365! +[2024-05-27 04:10:56,268] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:10:56,269] - INFO: Eval PSNR (current): 38.237 (3365) SSIM (current): 0.9617 (3365) +[2024-05-27 04:10:56,269] - INFO: Evaluation over. +[2024-05-27 04:11:16,493] - INFO: Epoch 3366/9999, Iter 336520: Loss = 0.010254871100187302, lr = [1.25e-05] +[2024-05-27 04:11:43,666] - INFO: Epoch 3366/9999, Iter 336560: Loss = 0.01573660783469677, lr = [1.25e-05] +[2024-05-27 04:12:12,336] - INFO: Epoch 3367/9999, Iter 336600: Loss = 0.00648254482075572, lr = [1.25e-05] +[2024-05-27 04:12:39,592] - INFO: Epoch 3367/9999, Iter 336640: Loss = 0.005819774232804775, lr = [1.25e-05] +[2024-05-27 04:13:06,806] - INFO: Epoch 3367/9999, Iter 336680: Loss = 0.008566374890506268, lr = [1.25e-05] +[2024-05-27 04:13:35,600] - INFO: Epoch 3368/9999, Iter 336720: Loss = 0.010055712424218655, lr = [1.25e-05] +[2024-05-27 04:14:02,770] - INFO: Epoch 3368/9999, Iter 336760: Loss = 0.009147368371486664, lr = [1.25e-05] +[2024-05-27 04:14:31,233] - INFO: Epoch 3369/9999, Iter 336800: Loss = 0.008483449928462505, lr = [1.25e-05] +[2024-05-27 04:14:58,550] - INFO: Epoch 3369/9999, Iter 336840: Loss = 0.01716778613626957, lr = [1.25e-05] +[2024-05-27 04:15:25,732] - INFO: Epoch 3369/9999, Iter 336880: Loss = 0.010656272061169147, lr = [1.25e-05] +[2024-05-27 04:15:54,235] - INFO: Epoch 3370/9999, Iter 336920: Loss = 0.015045462176203728, lr = [1.25e-05] +[2024-05-27 04:16:21,457] - INFO: Epoch 3370/9999, Iter 336960: Loss = 0.023763813078403473, lr = [1.25e-05] +[2024-05-27 04:16:48,295] - INFO: Evaluate at epoch 3370! +[2024-05-27 04:16:53,079] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:16:53,079] - INFO: Eval PSNR (current): 38.235 (3370) SSIM (current): 0.9617 (3370) +[2024-05-27 04:16:53,080] - INFO: Evaluation over. +[2024-05-27 04:16:59,961] - INFO: Epoch 3371/9999, Iter 337000: Loss = 0.015847088769078255, lr = [1.25e-05] +[2024-05-27 04:17:27,260] - INFO: Epoch 3371/9999, Iter 337040: Loss = 0.00747585529461503, lr = [1.25e-05] +[2024-05-27 04:17:54,477] - INFO: Epoch 3371/9999, Iter 337080: Loss = 0.01023842766880989, lr = [1.25e-05] +[2024-05-27 04:18:23,054] - INFO: Epoch 3372/9999, Iter 337120: Loss = 0.015085221268236637, lr = [1.25e-05] +[2024-05-27 04:18:50,262] - INFO: Epoch 3372/9999, Iter 337160: Loss = 0.014067406766116619, lr = [1.25e-05] +[2024-05-27 04:19:18,745] - INFO: Epoch 3373/9999, Iter 337200: Loss = 0.016582772135734558, lr = [1.25e-05] +[2024-05-27 04:19:46,045] - INFO: Epoch 3373/9999, Iter 337240: Loss = 0.014111535623669624, lr = [1.25e-05] +[2024-05-27 04:20:13,260] - INFO: Epoch 3373/9999, Iter 337280: Loss = 0.01146998442709446, lr = [1.25e-05] +[2024-05-27 04:20:41,790] - INFO: Epoch 3374/9999, Iter 337320: Loss = 0.012018081732094288, lr = [1.25e-05] +[2024-05-27 04:21:09,004] - INFO: Epoch 3374/9999, Iter 337360: Loss = 0.01939266361296177, lr = [1.25e-05] +[2024-05-27 04:21:37,580] - INFO: Epoch 3375/9999, Iter 337400: Loss = 0.010584884323179722, lr = [1.25e-05] +[2024-05-27 04:22:04,862] - INFO: Epoch 3375/9999, Iter 337440: Loss = 0.017854472622275352, lr = [1.25e-05] +[2024-05-27 04:22:32,112] - INFO: Epoch 3375/9999, Iter 337480: Loss = 0.011969005689024925, lr = [1.25e-05] +[2024-05-27 04:22:45,381] - INFO: Evaluate at epoch 3375! +[2024-05-27 04:22:50,077] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:22:50,078] - INFO: Eval PSNR (current): 38.244 (3375) SSIM (current): 0.9617 (3375) +[2024-05-27 04:22:50,078] - INFO: Evaluation over. +[2024-05-27 04:23:10,567] - INFO: Epoch 3376/9999, Iter 337520: Loss = 0.009982673451304436, lr = [1.25e-05] +[2024-05-27 04:23:37,766] - INFO: Epoch 3376/9999, Iter 337560: Loss = 0.014470850117504597, lr = [1.25e-05] +[2024-05-27 04:24:06,552] - INFO: Epoch 3377/9999, Iter 337600: Loss = 0.011931234039366245, lr = [1.25e-05] +[2024-05-27 04:24:33,894] - INFO: Epoch 3377/9999, Iter 337640: Loss = 0.007655009627342224, lr = [1.25e-05] +[2024-05-27 04:25:01,063] - INFO: Epoch 3377/9999, Iter 337680: Loss = 0.007331374567002058, lr = [1.25e-05] +[2024-05-27 04:25:29,730] - INFO: Epoch 3378/9999, Iter 337720: Loss = 0.015513462945818901, lr = [1.25e-05] +[2024-05-27 04:25:56,990] - INFO: Epoch 3378/9999, Iter 337760: Loss = 0.02244102768599987, lr = [1.25e-05] +[2024-05-27 04:26:25,690] - INFO: Epoch 3379/9999, Iter 337800: Loss = 0.010052218101918697, lr = [1.25e-05] +[2024-05-27 04:26:52,950] - INFO: Epoch 3379/9999, Iter 337840: Loss = 0.010611021891236305, lr = [1.25e-05] +[2024-05-27 04:27:20,092] - INFO: Epoch 3379/9999, Iter 337880: Loss = 0.008788881823420525, lr = [1.25e-05] +[2024-05-27 04:27:48,530] - INFO: Epoch 3380/9999, Iter 337920: Loss = 0.010092053562402725, lr = [1.25e-05] +[2024-05-27 04:28:15,808] - INFO: Epoch 3380/9999, Iter 337960: Loss = 0.016580920666456223, lr = [1.25e-05] +[2024-05-27 04:28:42,698] - INFO: Evaluate at epoch 3380! +[2024-05-27 04:28:47,312] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:28:47,312] - INFO: Eval PSNR (current): 38.231 (3380) SSIM (current): 0.9617 (3380) +[2024-05-27 04:28:47,312] - INFO: Evaluation over. +[2024-05-27 04:28:54,471] - INFO: Epoch 3381/9999, Iter 338000: Loss = 0.010377033613622189, lr = [1.25e-05] +[2024-05-27 04:29:21,759] - INFO: Epoch 3381/9999, Iter 338040: Loss = 0.007790424861013889, lr = [1.25e-05] +[2024-05-27 04:29:48,974] - INFO: Epoch 3381/9999, Iter 338080: Loss = 0.012532727792859077, lr = [1.25e-05] +[2024-05-27 04:30:17,874] - INFO: Epoch 3382/9999, Iter 338120: Loss = 0.0199729111045599, lr = [1.25e-05] +[2024-05-27 04:30:45,027] - INFO: Epoch 3382/9999, Iter 338160: Loss = 0.009707111865282059, lr = [1.25e-05] +[2024-05-27 04:31:13,583] - INFO: Epoch 3383/9999, Iter 338200: Loss = 0.006700027734041214, lr = [1.25e-05] +[2024-05-27 04:31:40,854] - INFO: Epoch 3383/9999, Iter 338240: Loss = 0.010032810270786285, lr = [1.25e-05] +[2024-05-27 04:32:08,023] - INFO: Epoch 3383/9999, Iter 338280: Loss = 0.016384249553084373, lr = [1.25e-05] +[2024-05-27 04:32:36,586] - INFO: Epoch 3384/9999, Iter 338320: Loss = 0.018297208473086357, lr = [1.25e-05] +[2024-05-27 04:33:03,794] - INFO: Epoch 3384/9999, Iter 338360: Loss = 0.0057461136020720005, lr = [1.25e-05] +[2024-05-27 04:33:32,612] - INFO: Epoch 3385/9999, Iter 338400: Loss = 0.00946645624935627, lr = [1.25e-05] +[2024-05-27 04:33:59,854] - INFO: Epoch 3385/9999, Iter 338440: Loss = 0.009716917760670185, lr = [1.25e-05] +[2024-05-27 04:34:27,018] - INFO: Epoch 3385/9999, Iter 338480: Loss = 0.01053581666201353, lr = [1.25e-05] +[2024-05-27 04:34:40,330] - INFO: Evaluate at epoch 3385! +[2024-05-27 04:34:50,466] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:34:50,467] - INFO: Eval PSNR (current): 38.244 (3385) SSIM (current): 0.9618 (3385) +[2024-05-27 04:34:50,467] - INFO: Evaluation over. +[2024-05-27 04:35:10,936] - INFO: Epoch 3386/9999, Iter 338520: Loss = 0.013326429761946201, lr = [1.25e-05] +[2024-05-27 04:35:38,106] - INFO: Epoch 3386/9999, Iter 338560: Loss = 0.012366027571260929, lr = [1.25e-05] +[2024-05-27 04:36:06,669] - INFO: Epoch 3387/9999, Iter 338600: Loss = 0.025781702250242233, lr = [1.25e-05] +[2024-05-27 04:36:33,959] - INFO: Epoch 3387/9999, Iter 338640: Loss = 0.010920263826847076, lr = [1.25e-05] +[2024-05-27 04:37:01,167] - INFO: Epoch 3387/9999, Iter 338680: Loss = 0.009072015061974525, lr = [1.25e-05] +[2024-05-27 04:37:29,806] - INFO: Epoch 3388/9999, Iter 338720: Loss = 0.014050925150513649, lr = [1.25e-05] +[2024-05-27 04:37:56,977] - INFO: Epoch 3388/9999, Iter 338760: Loss = 0.014842898584902287, lr = [1.25e-05] +[2024-05-27 04:38:25,748] - INFO: Epoch 3389/9999, Iter 338800: Loss = 0.021085700020194054, lr = [1.25e-05] +[2024-05-27 04:38:53,074] - INFO: Epoch 3389/9999, Iter 338840: Loss = 0.014889990910887718, lr = [1.25e-05] +[2024-05-27 04:39:20,316] - INFO: Epoch 3389/9999, Iter 338880: Loss = 0.006381031591445208, lr = [1.25e-05] +[2024-05-27 04:39:48,891] - INFO: Epoch 3390/9999, Iter 338920: Loss = 0.009257304482161999, lr = [1.25e-05] +[2024-05-27 04:40:16,206] - INFO: Epoch 3390/9999, Iter 338960: Loss = 0.006591050885617733, lr = [1.25e-05] +[2024-05-27 04:40:43,072] - INFO: Evaluate at epoch 3390! +[2024-05-27 04:40:47,778] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:40:47,778] - INFO: Eval PSNR (current): 38.231 (3390) SSIM (current): 0.9617 (3390) +[2024-05-27 04:40:47,778] - INFO: Evaluation over. +[2024-05-27 04:40:54,601] - INFO: Epoch 3391/9999, Iter 339000: Loss = 0.013614771887660027, lr = [1.25e-05] +[2024-05-27 04:41:21,900] - INFO: Epoch 3391/9999, Iter 339040: Loss = 0.014763392508029938, lr = [1.25e-05] +[2024-05-27 04:41:49,086] - INFO: Epoch 3391/9999, Iter 339080: Loss = 0.014074710197746754, lr = [1.25e-05] +[2024-05-27 04:42:17,658] - INFO: Epoch 3392/9999, Iter 339120: Loss = 0.009508250281214714, lr = [1.25e-05] +[2024-05-27 04:42:44,795] - INFO: Epoch 3392/9999, Iter 339160: Loss = 0.011161656118929386, lr = [1.25e-05] +[2024-05-27 04:43:13,448] - INFO: Epoch 3393/9999, Iter 339200: Loss = 0.008879096247255802, lr = [1.25e-05] +[2024-05-27 04:43:40,691] - INFO: Epoch 3393/9999, Iter 339240: Loss = 0.01773550547659397, lr = [1.25e-05] +[2024-05-27 04:44:07,949] - INFO: Epoch 3393/9999, Iter 339280: Loss = 0.013948221690952778, lr = [1.25e-05] +[2024-05-27 04:44:36,458] - INFO: Epoch 3394/9999, Iter 339320: Loss = 0.0059992172755301, lr = [1.25e-05] +[2024-05-27 04:45:03,654] - INFO: Epoch 3394/9999, Iter 339360: Loss = 0.019542105495929718, lr = [1.25e-05] +[2024-05-27 04:45:32,319] - INFO: Epoch 3395/9999, Iter 339400: Loss = 0.014389276504516602, lr = [1.25e-05] +[2024-05-27 04:45:59,586] - INFO: Epoch 3395/9999, Iter 339440: Loss = 0.009282154031097889, lr = [1.25e-05] +[2024-05-27 04:46:26,794] - INFO: Epoch 3395/9999, Iter 339480: Loss = 0.015003352425992489, lr = [1.25e-05] +[2024-05-27 04:46:40,099] - INFO: Evaluate at epoch 3395! +[2024-05-27 04:46:44,685] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:46:44,686] - INFO: Eval PSNR (current): 38.235 (3395) SSIM (current): 0.9617 (3395) +[2024-05-27 04:46:44,686] - INFO: Evaluation over. +[2024-05-27 04:47:05,136] - INFO: Epoch 3396/9999, Iter 339520: Loss = 0.003493930445984006, lr = [1.25e-05] +[2024-05-27 04:47:32,367] - INFO: Epoch 3396/9999, Iter 339560: Loss = 0.0067640203051269054, lr = [1.25e-05] +[2024-05-27 04:48:01,064] - INFO: Epoch 3397/9999, Iter 339600: Loss = 0.012218309566378593, lr = [1.25e-05] +[2024-05-27 04:48:28,419] - INFO: Epoch 3397/9999, Iter 339640: Loss = 0.00827489048242569, lr = [1.25e-05] +[2024-05-27 04:48:55,590] - INFO: Epoch 3397/9999, Iter 339680: Loss = 0.0090200649574399, lr = [1.25e-05] +[2024-05-27 04:49:24,331] - INFO: Epoch 3398/9999, Iter 339720: Loss = 0.007604530081152916, lr = [1.25e-05] +[2024-05-27 04:49:51,550] - INFO: Epoch 3398/9999, Iter 339760: Loss = 0.009773545898497105, lr = [1.25e-05] +[2024-05-27 04:50:20,040] - INFO: Epoch 3399/9999, Iter 339800: Loss = 0.014400064013898373, lr = [1.25e-05] +[2024-05-27 04:50:47,324] - INFO: Epoch 3399/9999, Iter 339840: Loss = 0.009192182682454586, lr = [1.25e-05] +[2024-05-27 04:51:14,450] - INFO: Epoch 3399/9999, Iter 339880: Loss = 0.005777243059128523, lr = [1.25e-05] +[2024-05-27 04:51:43,166] - INFO: Epoch 3400/9999, Iter 339920: Loss = 0.011432700790464878, lr = [1.25e-05] +[2024-05-27 04:52:10,358] - INFO: Epoch 3400/9999, Iter 339960: Loss = 0.012751887552440166, lr = [1.25e-05] +[2024-05-27 04:52:37,249] - INFO: Evaluate at epoch 3400! +[2024-05-27 04:52:41,739] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:52:41,739] - INFO: Eval PSNR (current): 38.234 (3400) SSIM (current): 0.9617 (3400) +[2024-05-27 04:52:41,739] - INFO: Evaluation over. +[2024-05-27 04:52:48,692] - INFO: Epoch 3401/9999, Iter 340000: Loss = 0.011284728534519672, lr = [1.25e-05] +[2024-05-27 04:53:15,939] - INFO: Epoch 3401/9999, Iter 340040: Loss = 0.00839440431445837, lr = [1.25e-05] +[2024-05-27 04:53:43,118] - INFO: Epoch 3401/9999, Iter 340080: Loss = 0.013216860592365265, lr = [1.25e-05] +[2024-05-27 04:54:12,006] - INFO: Epoch 3402/9999, Iter 340120: Loss = 0.012446392327547073, lr = [1.25e-05] +[2024-05-27 04:54:39,182] - INFO: Epoch 3402/9999, Iter 340160: Loss = 0.007057905197143555, lr = [1.25e-05] +[2024-05-27 04:55:07,648] - INFO: Epoch 3403/9999, Iter 340200: Loss = 0.006404310464859009, lr = [1.25e-05] +[2024-05-27 04:55:34,838] - INFO: Epoch 3403/9999, Iter 340240: Loss = 0.014109817333519459, lr = [1.25e-05] +[2024-05-27 04:56:02,118] - INFO: Epoch 3403/9999, Iter 340280: Loss = 0.016281232237815857, lr = [1.25e-05] +[2024-05-27 04:56:30,813] - INFO: Epoch 3404/9999, Iter 340320: Loss = 0.010238495655357838, lr = [1.25e-05] +[2024-05-27 04:56:57,948] - INFO: Epoch 3404/9999, Iter 340360: Loss = 0.017563147470355034, lr = [1.25e-05] +[2024-05-27 04:57:26,684] - INFO: Epoch 3405/9999, Iter 340400: Loss = 0.009633415378630161, lr = [1.25e-05] +[2024-05-27 04:57:54,002] - INFO: Epoch 3405/9999, Iter 340440: Loss = 0.013358088210225105, lr = [1.25e-05] +[2024-05-27 04:58:21,191] - INFO: Epoch 3405/9999, Iter 340480: Loss = 0.021978475153446198, lr = [1.25e-05] +[2024-05-27 04:58:34,474] - INFO: Evaluate at epoch 3405! +[2024-05-27 04:58:39,204] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:58:39,204] - INFO: Eval PSNR (current): 38.217 (3405) SSIM (current): 0.9617 (3405) +[2024-05-27 04:58:39,204] - INFO: Evaluation over. +[2024-05-27 04:58:59,153] - INFO: Epoch 3406/9999, Iter 340520: Loss = 0.009207752533257008, lr = [1.25e-05] +[2024-05-27 04:59:26,364] - INFO: Epoch 3406/9999, Iter 340560: Loss = 0.012765265069901943, lr = [1.25e-05] +[2024-05-27 04:59:55,104] - INFO: Epoch 3407/9999, Iter 340600: Loss = 0.019543705508112907, lr = [1.25e-05] +[2024-05-27 05:00:22,318] - INFO: Epoch 3407/9999, Iter 340640: Loss = 0.011772890575230122, lr = [1.25e-05] +[2024-05-27 05:00:49,475] - INFO: Epoch 3407/9999, Iter 340680: Loss = 0.014790583401918411, lr = [1.25e-05] +[2024-05-27 05:01:18,248] - INFO: Epoch 3408/9999, Iter 340720: Loss = 0.007143930532038212, lr = [1.25e-05] +[2024-05-27 05:01:45,482] - INFO: Epoch 3408/9999, Iter 340760: Loss = 0.009278655052185059, lr = [1.25e-05] +[2024-05-27 05:02:13,990] - INFO: Epoch 3409/9999, Iter 340800: Loss = 0.007748902775347233, lr = [1.25e-05] +[2024-05-27 05:02:41,274] - INFO: Epoch 3409/9999, Iter 340840: Loss = 0.007756051141768694, lr = [1.25e-05] +[2024-05-27 05:03:08,422] - INFO: Epoch 3409/9999, Iter 340880: Loss = 0.00579686788842082, lr = [1.25e-05] +[2024-05-27 05:03:36,990] - INFO: Epoch 3410/9999, Iter 340920: Loss = 0.011210057884454727, lr = [1.25e-05] +[2024-05-27 05:04:04,238] - INFO: Epoch 3410/9999, Iter 340960: Loss = 0.009223631583154202, lr = [1.25e-05] +[2024-05-27 05:04:31,134] - INFO: Evaluate at epoch 3410! +[2024-05-27 05:04:35,845] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 05:04:35,845] - INFO: Eval PSNR (current): 38.234 (3410) SSIM (current): 0.9617 (3410) +[2024-05-27 05:04:35,845] - INFO: Evaluation over. +[2024-05-27 05:04:42,890] - INFO: Epoch 3411/9999, Iter 341000: Loss = 0.009778294712305069, lr = [1.25e-05] +[2024-05-27 05:05:10,191] - INFO: Epoch 3411/9999, Iter 341040: Loss = 0.011175801046192646, lr = [1.25e-05] +[2024-05-27 05:05:37,351] - INFO: Epoch 3411/9999, Iter 341080: Loss = 0.01391096692532301, lr = [1.25e-05] +[2024-05-27 05:06:06,062] - INFO: Epoch 3412/9999, Iter 341120: Loss = 0.01000880915671587, lr = [1.25e-05] +[2024-05-27 05:06:33,248] - INFO: Epoch 3412/9999, Iter 341160: Loss = 0.010552803054451942, lr = [1.25e-05] +[2024-05-27 05:07:02,005] - INFO: Epoch 3413/9999, Iter 341200: Loss = 0.014706229791045189, lr = [1.25e-05] +[2024-05-27 05:07:29,274] - INFO: Epoch 3413/9999, Iter 341240: Loss = 0.01904999278485775, lr = [1.25e-05] +[2024-05-27 05:07:56,515] - INFO: Epoch 3413/9999, Iter 341280: Loss = 0.01325935684144497, lr = [1.25e-05] +[2024-05-27 05:08:25,199] - INFO: Epoch 3414/9999, Iter 341320: Loss = 0.009240038692951202, lr = [1.25e-05] +[2024-05-27 05:08:52,426] - INFO: Epoch 3414/9999, Iter 341360: Loss = 0.011849809437990189, lr = [1.25e-05] +[2024-05-27 05:09:20,950] - INFO: Epoch 3415/9999, Iter 341400: Loss = 0.013434761203825474, lr = [1.25e-05] +[2024-05-27 05:09:48,330] - INFO: Epoch 3415/9999, Iter 341440: Loss = 0.008641495369374752, lr = [1.25e-05] +[2024-05-27 05:10:15,514] - INFO: Epoch 3415/9999, Iter 341480: Loss = 0.013140622526407242, lr = [1.25e-05] +[2024-05-27 05:10:28,845] - INFO: Evaluate at epoch 3415! +[2024-05-27 05:10:38,875] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3415) +[2024-05-27 05:10:38,876] - INFO: Eval PSNR (current): 38.239 (3415) SSIM (current): 0.9618 (3415) +[2024-05-27 05:10:38,876] - INFO: Evaluation over. +[2024-05-27 05:10:59,376] - INFO: Epoch 3416/9999, Iter 341520: Loss = 0.015240845270454884, lr = [1.25e-05] +[2024-05-27 05:11:26,584] - INFO: Epoch 3416/9999, Iter 341560: Loss = 0.007942399941384792, lr = [1.25e-05] +[2024-05-27 05:11:55,308] - INFO: Epoch 3417/9999, Iter 341600: Loss = 0.023492339998483658, lr = [1.25e-05] +[2024-05-27 05:12:22,592] - INFO: Epoch 3417/9999, Iter 341640: Loss = 0.015166448429226875, lr = [1.25e-05] +[2024-05-27 05:12:49,922] - INFO: Epoch 3417/9999, Iter 341680: Loss = 0.014540614560246468, lr = [1.25e-05] +[2024-05-27 05:13:18,520] - INFO: Epoch 3418/9999, Iter 341720: Loss = 0.012984917499125004, lr = [1.25e-05] +[2024-05-27 05:13:45,749] - INFO: Epoch 3418/9999, Iter 341760: Loss = 0.01705712266266346, lr = [1.25e-05] +[2024-05-27 05:14:14,250] - INFO: Epoch 3419/9999, Iter 341800: Loss = 0.01094615925103426, lr = [1.25e-05] +[2024-05-27 05:14:41,594] - INFO: Epoch 3419/9999, Iter 341840: Loss = 0.008821027353405952, lr = [1.25e-05] +[2024-05-27 05:15:08,755] - INFO: Epoch 3419/9999, Iter 341880: Loss = 0.013337763026356697, lr = [1.25e-05] +[2024-05-27 05:15:37,413] - INFO: Epoch 3420/9999, Iter 341920: Loss = 0.011413232423365116, lr = [1.25e-05] +[2024-05-27 05:16:04,659] - INFO: Epoch 3420/9999, Iter 341960: Loss = 0.007422334514558315, lr = [1.25e-05] +[2024-05-27 05:16:31,538] - INFO: Evaluate at epoch 3420! +[2024-05-27 05:16:36,172] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3415) +[2024-05-27 05:16:36,172] - INFO: Eval PSNR (current): 38.226 (3420) SSIM (current): 0.9618 (3420) +[2024-05-27 05:16:36,172] - INFO: Evaluation over. +[2024-05-27 05:16:42,868] - INFO: Epoch 3421/9999, Iter 342000: Loss = 0.015888692811131477, lr = [1.25e-05] +[2024-05-27 05:17:10,078] - INFO: Epoch 3421/9999, Iter 342040: Loss = 0.009366587735712528, lr = [1.25e-05] +[2024-05-27 05:17:37,343] - INFO: Epoch 3421/9999, Iter 342080: Loss = 0.013806981965899467, lr = [1.25e-05] +[2024-05-27 05:18:06,151] - INFO: Epoch 3422/9999, Iter 342120: Loss = 0.00989922322332859, lr = [1.25e-05] +[2024-05-27 05:18:33,346] - INFO: Epoch 3422/9999, Iter 342160: Loss = 0.01641719974577427, lr = [1.25e-05] +[2024-05-27 05:19:02,000] - INFO: Epoch 3423/9999, Iter 342200: Loss = 0.011664904654026031, lr = [1.25e-05] +[2024-05-27 05:19:29,278] - INFO: Epoch 3423/9999, Iter 342240: Loss = 0.0162058062851429, lr = [1.25e-05] +[2024-05-27 05:19:56,480] - INFO: Epoch 3423/9999, Iter 342280: Loss = 0.013040021993219852, lr = [1.25e-05] +[2024-05-27 05:20:25,266] - INFO: Epoch 3424/9999, Iter 342320: Loss = 0.011985965073108673, lr = [1.25e-05] +[2024-05-27 05:20:52,502] - INFO: Epoch 3424/9999, Iter 342360: Loss = 0.00949686300009489, lr = [1.25e-05] +[2024-05-27 05:21:20,861] - INFO: Epoch 3425/9999, Iter 342400: Loss = 0.01330211665481329, lr = [1.25e-05] +[2024-05-27 05:21:48,166] - INFO: Epoch 3425/9999, Iter 342440: Loss = 0.007461942732334137, lr = [1.25e-05] +[2024-05-27 05:22:15,338] - INFO: Epoch 3425/9999, Iter 342480: Loss = 0.012677455320954323, lr = [1.25e-05] +[2024-05-27 05:22:28,609] - INFO: Evaluate at epoch 3425! +[2024-05-27 05:22:38,430] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3425) +[2024-05-27 05:22:38,430] - INFO: Eval PSNR (current): 38.251 (3425) SSIM (current): 0.9618 (3425) +[2024-05-27 05:22:38,431] - INFO: Evaluation over. +[2024-05-27 05:22:58,870] - INFO: Epoch 3426/9999, Iter 342520: Loss = 0.009991096332669258, lr = [1.25e-05] +[2024-05-27 05:23:26,090] - INFO: Epoch 3426/9999, Iter 342560: Loss = 0.021051887422800064, lr = [1.25e-05] +[2024-05-27 05:23:54,779] - INFO: Epoch 3427/9999, Iter 342600: Loss = 0.005614507012069225, lr = [1.25e-05] +[2024-05-27 05:24:22,102] - INFO: Epoch 3427/9999, Iter 342640: Loss = 0.009331420995295048, lr = [1.25e-05] +[2024-05-27 05:24:49,286] - INFO: Epoch 3427/9999, Iter 342680: Loss = 0.011350596323609352, lr = [1.25e-05] +[2024-05-27 05:25:17,947] - INFO: Epoch 3428/9999, Iter 342720: Loss = 0.01996389403939247, lr = [1.25e-05] +[2024-05-27 05:25:45,166] - INFO: Epoch 3428/9999, Iter 342760: Loss = 0.008146701380610466, lr = [1.25e-05] +[2024-05-27 05:26:13,708] - INFO: Epoch 3429/9999, Iter 342800: Loss = 0.015369606204330921, lr = [1.25e-05] +[2024-05-27 05:26:40,956] - INFO: Epoch 3429/9999, Iter 342840: Loss = 0.01084967888891697, lr = [1.25e-05] +[2024-05-27 05:27:08,186] - INFO: Epoch 3429/9999, Iter 342880: Loss = 0.008154700510203838, lr = [1.25e-05] +[2024-05-27 05:27:36,791] - INFO: Epoch 3430/9999, Iter 342920: Loss = 0.017582770437002182, lr = [1.25e-05] +[2024-05-27 05:28:03,954] - INFO: Epoch 3430/9999, Iter 342960: Loss = 0.014378894120454788, lr = [1.25e-05] +[2024-05-27 05:28:30,810] - INFO: Evaluate at epoch 3430! +[2024-05-27 05:28:35,419] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3425) +[2024-05-27 05:28:35,419] - INFO: Eval PSNR (current): 38.246 (3430) SSIM (current): 0.9617 (3430) +[2024-05-27 05:28:35,419] - INFO: Evaluation over. +[2024-05-27 05:28:42,074] - INFO: Epoch 3431/9999, Iter 343000: Loss = 0.01380129624158144, lr = [1.25e-05] +[2024-05-27 05:29:09,342] - INFO: Epoch 3431/9999, Iter 343040: Loss = 0.009424037300050259, lr = [1.25e-05] +[2024-05-27 05:29:36,470] - INFO: Epoch 3431/9999, Iter 343080: Loss = 0.022692207247018814, lr = [1.25e-05] +[2024-05-27 05:30:05,017] - INFO: Epoch 3432/9999, Iter 343120: Loss = 0.00977855920791626, lr = [1.25e-05] +[2024-05-27 05:30:32,197] - INFO: Epoch 3432/9999, Iter 343160: Loss = 0.005762312561273575, lr = [1.25e-05] +[2024-05-27 05:31:00,680] - INFO: Epoch 3433/9999, Iter 343200: Loss = 0.014920095913112164, lr = [1.25e-05] +[2024-05-27 05:31:27,955] - INFO: Epoch 3433/9999, Iter 343240: Loss = 0.013647384010255337, lr = [1.25e-05] +[2024-05-27 05:31:55,127] - INFO: Epoch 3433/9999, Iter 343280: Loss = 0.01601916179060936, lr = [1.25e-05] +[2024-05-27 05:32:23,914] - INFO: Epoch 3434/9999, Iter 343320: Loss = 0.0077109006233513355, lr = [1.25e-05] +[2024-05-27 05:32:51,050] - INFO: Epoch 3434/9999, Iter 343360: Loss = 0.012818681076169014, lr = [1.25e-05] +[2024-05-27 05:33:19,612] - INFO: Epoch 3435/9999, Iter 343400: Loss = 0.006931450217962265, lr = [1.25e-05] +[2024-05-27 05:33:46,906] - INFO: Epoch 3435/9999, Iter 343440: Loss = 0.009068499319255352, lr = [1.25e-05] +[2024-05-27 05:34:14,107] - INFO: Epoch 3435/9999, Iter 343480: Loss = 0.012822482734918594, lr = [1.25e-05] +[2024-05-27 05:34:27,396] - INFO: Evaluate at epoch 3435! +[2024-05-27 05:34:32,093] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3425) +[2024-05-27 05:34:32,093] - INFO: Eval PSNR (current): 38.237 (3435) SSIM (current): 0.9617 (3435) +[2024-05-27 05:34:32,093] - INFO: Evaluation over. +[2024-05-27 05:34:52,492] - INFO: Epoch 3436/9999, Iter 343520: Loss = 0.010537125170230865, lr = [1.25e-05] +[2024-05-27 05:35:19,694] - INFO: Epoch 3436/9999, Iter 343560: Loss = 0.01834208332002163, lr = [1.25e-05] +[2024-05-27 05:35:48,299] - INFO: Epoch 3437/9999, Iter 343600: Loss = 0.008454416878521442, lr = [1.25e-05] +[2024-05-27 05:36:15,563] - INFO: Epoch 3437/9999, Iter 343640: Loss = 0.009038661606609821, lr = [1.25e-05] +[2024-05-27 05:36:42,786] - INFO: Epoch 3437/9999, Iter 343680: Loss = 0.01232193037867546, lr = [1.25e-05] +[2024-05-27 05:37:11,566] - INFO: Epoch 3438/9999, Iter 343720: Loss = 0.014224760234355927, lr = [1.25e-05] +[2024-05-27 05:37:38,694] - INFO: Epoch 3438/9999, Iter 343760: Loss = 0.010795623995363712, lr = [1.25e-05] +[2024-05-27 05:38:07,385] - INFO: Epoch 3439/9999, Iter 343800: Loss = 0.010763309895992279, lr = [1.25e-05] +[2024-05-27 05:38:34,792] - INFO: Epoch 3439/9999, Iter 343840: Loss = 0.010087366215884686, lr = [1.25e-05] +[2024-05-27 05:39:01,982] - INFO: Epoch 3439/9999, Iter 343880: Loss = 0.011272807605564594, lr = [1.25e-05] +[2024-05-27 05:39:30,747] - INFO: Epoch 3440/9999, Iter 343920: Loss = 0.00569920614361763, lr = [1.25e-05] +[2024-05-27 05:39:57,979] - INFO: Epoch 3440/9999, Iter 343960: Loss = 0.01485935878008604, lr = [1.25e-05] +[2024-05-27 05:40:24,791] - INFO: Evaluate at epoch 3440! +[2024-05-27 05:40:29,561] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3425) +[2024-05-27 05:40:29,561] - INFO: Eval PSNR (current): 38.237 (3440) SSIM (current): 0.9617 (3440) +[2024-05-27 05:40:29,562] - INFO: Evaluation over. +[2024-05-27 05:40:36,210] - INFO: Epoch 3441/9999, Iter 344000: Loss = 0.005948595702648163, lr = [1.25e-05] +[2024-05-27 05:41:03,546] - INFO: Epoch 3441/9999, Iter 344040: Loss = 0.008664829656481743, lr = [1.25e-05] +[2024-05-27 05:41:30,706] - INFO: Epoch 3441/9999, Iter 344080: Loss = 0.017028162255883217, lr = [1.25e-05] +[2024-05-27 05:41:59,427] - INFO: Epoch 3442/9999, Iter 344120: Loss = 0.013185881078243256, lr = [1.25e-05] +[2024-05-27 05:42:26,627] - INFO: Epoch 3442/9999, Iter 344160: Loss = 0.011254064738750458, lr = [1.25e-05] +[2024-05-27 05:42:55,181] - INFO: Epoch 3443/9999, Iter 344200: Loss = 0.011568550020456314, lr = [1.25e-05] +[2024-05-27 05:43:22,454] - INFO: Epoch 3443/9999, Iter 344240: Loss = 0.012930179946124554, lr = [1.25e-05] +[2024-05-27 05:43:49,615] - INFO: Epoch 3443/9999, Iter 344280: Loss = 0.008768063969910145, lr = [1.25e-05] +[2024-05-27 05:44:18,427] - INFO: Epoch 3444/9999, Iter 344320: Loss = 0.009298150427639484, lr = [1.25e-05] +[2024-05-27 05:44:45,696] - INFO: Epoch 3444/9999, Iter 344360: Loss = 0.012333737686276436, lr = [1.25e-05] +[2024-05-27 05:45:14,085] - INFO: Epoch 3445/9999, Iter 344400: Loss = 0.00688950577750802, lr = [1.25e-05] +[2024-05-27 05:45:41,306] - INFO: Epoch 3445/9999, Iter 344440: Loss = 0.01118958368897438, lr = [1.25e-05] +[2024-05-27 05:46:08,526] - INFO: Epoch 3445/9999, Iter 344480: Loss = 0.01732196845114231, lr = [1.25e-05] +[2024-05-27 05:46:21,832] - INFO: Evaluate at epoch 3445! +[2024-05-27 05:46:32,092] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 05:46:32,093] - INFO: Eval PSNR (current): 38.254 (3445) SSIM (current): 0.9617 (3445) +[2024-05-27 05:46:32,093] - INFO: Evaluation over. +[2024-05-27 05:46:52,510] - INFO: Epoch 3446/9999, Iter 344520: Loss = 0.008964287117123604, lr = [1.25e-05] +[2024-05-27 05:47:19,770] - INFO: Epoch 3446/9999, Iter 344560: Loss = 0.014002358540892601, lr = [1.25e-05] +[2024-05-27 05:47:48,352] - INFO: Epoch 3447/9999, Iter 344600: Loss = 0.009905260987579823, lr = [1.25e-05] +[2024-05-27 05:48:15,635] - INFO: Epoch 3447/9999, Iter 344640: Loss = 0.016417911276221275, lr = [1.25e-05] +[2024-05-27 05:48:42,834] - INFO: Epoch 3447/9999, Iter 344680: Loss = 0.015586555004119873, lr = [1.25e-05] +[2024-05-27 05:49:11,497] - INFO: Epoch 3448/9999, Iter 344720: Loss = 0.014910412952303886, lr = [1.25e-05] +[2024-05-27 05:49:38,746] - INFO: Epoch 3448/9999, Iter 344760: Loss = 0.0162507314234972, lr = [1.25e-05] +[2024-05-27 05:50:07,320] - INFO: Epoch 3449/9999, Iter 344800: Loss = 0.009003153070807457, lr = [1.25e-05] +[2024-05-27 05:50:34,566] - INFO: Epoch 3449/9999, Iter 344840: Loss = 0.008086591958999634, lr = [1.25e-05] +[2024-05-27 05:51:01,683] - INFO: Epoch 3449/9999, Iter 344880: Loss = 0.010074569843709469, lr = [1.25e-05] +[2024-05-27 05:51:30,347] - INFO: Epoch 3450/9999, Iter 344920: Loss = 0.013694488443434238, lr = [1.25e-05] +[2024-05-27 05:51:57,458] - INFO: Epoch 3450/9999, Iter 344960: Loss = 0.009636075235903263, lr = [1.25e-05] +[2024-05-27 05:52:24,331] - INFO: Evaluate at epoch 3450! +[2024-05-27 05:52:28,807] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 05:52:28,808] - INFO: Eval PSNR (current): 38.246 (3450) SSIM (current): 0.9617 (3450) +[2024-05-27 05:52:28,808] - INFO: Evaluation over. +[2024-05-27 05:52:35,706] - INFO: Epoch 3451/9999, Iter 345000: Loss = 0.009682141244411469, lr = [1.25e-05] +[2024-05-27 05:53:03,012] - INFO: Epoch 3451/9999, Iter 345040: Loss = 0.008789836429059505, lr = [1.25e-05] +[2024-05-27 05:53:30,268] - INFO: Epoch 3451/9999, Iter 345080: Loss = 0.008637586608529091, lr = [1.25e-05] +[2024-05-27 05:53:58,826] - INFO: Epoch 3452/9999, Iter 345120: Loss = 0.012770328670740128, lr = [1.25e-05] +[2024-05-27 05:54:26,052] - INFO: Epoch 3452/9999, Iter 345160: Loss = 0.022279925644397736, lr = [1.25e-05] +[2024-05-27 05:54:54,745] - INFO: Epoch 3453/9999, Iter 345200: Loss = 0.010411991737782955, lr = [1.25e-05] +[2024-05-27 05:55:22,054] - INFO: Epoch 3453/9999, Iter 345240: Loss = 0.01144364569336176, lr = [1.25e-05] +[2024-05-27 05:55:49,254] - INFO: Epoch 3453/9999, Iter 345280: Loss = 0.010319995693862438, lr = [1.25e-05] +[2024-05-27 05:56:17,956] - INFO: Epoch 3454/9999, Iter 345320: Loss = 0.010588961653411388, lr = [1.25e-05] +[2024-05-27 05:56:45,110] - INFO: Epoch 3454/9999, Iter 345360: Loss = 0.011764382012188435, lr = [1.25e-05] +[2024-05-27 05:57:13,729] - INFO: Epoch 3455/9999, Iter 345400: Loss = 0.009325633756816387, lr = [1.25e-05] +[2024-05-27 05:57:41,002] - INFO: Epoch 3455/9999, Iter 345440: Loss = 0.011520694941282272, lr = [1.25e-05] +[2024-05-27 05:58:08,234] - INFO: Epoch 3455/9999, Iter 345480: Loss = 0.012375593185424805, lr = [1.25e-05] +[2024-05-27 05:58:21,626] - INFO: Evaluate at epoch 3455! +[2024-05-27 05:58:26,117] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 05:58:26,117] - INFO: Eval PSNR (current): 38.232 (3455) SSIM (current): 0.9617 (3455) +[2024-05-27 05:58:26,117] - INFO: Evaluation over. +[2024-05-27 05:58:46,522] - INFO: Epoch 3456/9999, Iter 345520: Loss = 0.015366004779934883, lr = [1.25e-05] +[2024-05-27 05:59:13,782] - INFO: Epoch 3456/9999, Iter 345560: Loss = 0.011325936764478683, lr = [1.25e-05] +[2024-05-27 05:59:42,380] - INFO: Epoch 3457/9999, Iter 345600: Loss = 0.01215528603643179, lr = [1.25e-05] +[2024-05-27 06:00:09,698] - INFO: Epoch 3457/9999, Iter 345640: Loss = 0.01170702651143074, lr = [1.25e-05] +[2024-05-27 06:00:36,834] - INFO: Epoch 3457/9999, Iter 345680: Loss = 0.009680582210421562, lr = [1.25e-05] +[2024-05-27 06:01:05,434] - INFO: Epoch 3458/9999, Iter 345720: Loss = 0.017183074727654457, lr = [1.25e-05] +[2024-05-27 06:01:32,683] - INFO: Epoch 3458/9999, Iter 345760: Loss = 0.014781373552978039, lr = [1.25e-05] +[2024-05-27 06:02:01,312] - INFO: Epoch 3459/9999, Iter 345800: Loss = 0.012025541625916958, lr = [1.25e-05] +[2024-05-27 06:02:28,542] - INFO: Epoch 3459/9999, Iter 345840: Loss = 0.013451633974909782, lr = [1.25e-05] +[2024-05-27 06:02:55,746] - INFO: Epoch 3459/9999, Iter 345880: Loss = 0.01676304265856743, lr = [1.25e-05] +[2024-05-27 06:03:24,275] - INFO: Epoch 3460/9999, Iter 345920: Loss = 0.012895001098513603, lr = [1.25e-05] +[2024-05-27 06:03:51,422] - INFO: Epoch 3460/9999, Iter 345960: Loss = 0.012675533071160316, lr = [1.25e-05] +[2024-05-27 06:04:18,349] - INFO: Evaluate at epoch 3460! +[2024-05-27 06:04:22,999] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:04:22,999] - INFO: Eval PSNR (current): 38.236 (3460) SSIM (current): 0.9617 (3460) +[2024-05-27 06:04:22,999] - INFO: Evaluation over. +[2024-05-27 06:04:30,008] - INFO: Epoch 3461/9999, Iter 346000: Loss = 0.013330350629985332, lr = [1.25e-05] +[2024-05-27 06:04:57,290] - INFO: Epoch 3461/9999, Iter 346040: Loss = 0.010137169621884823, lr = [1.25e-05] +[2024-05-27 06:05:24,480] - INFO: Epoch 3461/9999, Iter 346080: Loss = 0.014188969507813454, lr = [1.25e-05] +[2024-05-27 06:05:52,720] - INFO: Epoch 3462/9999, Iter 346120: Loss = 0.010501371696591377, lr = [1.25e-05] +[2024-05-27 06:06:19,887] - INFO: Epoch 3462/9999, Iter 346160: Loss = 0.006748761981725693, lr = [1.25e-05] +[2024-05-27 06:06:48,392] - INFO: Epoch 3463/9999, Iter 346200: Loss = 0.005463277455419302, lr = [1.25e-05] +[2024-05-27 06:07:15,626] - INFO: Epoch 3463/9999, Iter 346240: Loss = 0.012008268386125565, lr = [1.25e-05] +[2024-05-27 06:07:42,830] - INFO: Epoch 3463/9999, Iter 346280: Loss = 0.012213914655148983, lr = [1.25e-05] +[2024-05-27 06:08:11,517] - INFO: Epoch 3464/9999, Iter 346320: Loss = 0.00819819513708353, lr = [1.25e-05] +[2024-05-27 06:08:38,705] - INFO: Epoch 3464/9999, Iter 346360: Loss = 0.009348802268505096, lr = [1.25e-05] +[2024-05-27 06:09:07,095] - INFO: Epoch 3465/9999, Iter 346400: Loss = 0.0192412156611681, lr = [1.25e-05] +[2024-05-27 06:09:34,320] - INFO: Epoch 3465/9999, Iter 346440: Loss = 0.012555359862744808, lr = [1.25e-05] +[2024-05-27 06:10:01,510] - INFO: Epoch 3465/9999, Iter 346480: Loss = 0.013607390224933624, lr = [1.25e-05] +[2024-05-27 06:10:14,820] - INFO: Evaluate at epoch 3465! +[2024-05-27 06:10:19,302] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:10:19,303] - INFO: Eval PSNR (current): 38.233 (3465) SSIM (current): 0.9617 (3465) +[2024-05-27 06:10:19,303] - INFO: Evaluation over. +[2024-05-27 06:10:39,697] - INFO: Epoch 3466/9999, Iter 346520: Loss = 0.010622415691614151, lr = [1.25e-05] +[2024-05-27 06:11:06,961] - INFO: Epoch 3466/9999, Iter 346560: Loss = 0.007781753782182932, lr = [1.25e-05] +[2024-05-27 06:11:35,588] - INFO: Epoch 3467/9999, Iter 346600: Loss = 0.010503852739930153, lr = [1.25e-05] +[2024-05-27 06:12:02,827] - INFO: Epoch 3467/9999, Iter 346640: Loss = 0.007418497931212187, lr = [1.25e-05] +[2024-05-27 06:12:30,027] - INFO: Epoch 3467/9999, Iter 346680: Loss = 0.012517348863184452, lr = [1.25e-05] +[2024-05-27 06:12:58,586] - INFO: Epoch 3468/9999, Iter 346720: Loss = 0.01310752984136343, lr = [1.25e-05] +[2024-05-27 06:13:25,798] - INFO: Epoch 3468/9999, Iter 346760: Loss = 0.010028083808720112, lr = [1.25e-05] +[2024-05-27 06:13:54,262] - INFO: Epoch 3469/9999, Iter 346800: Loss = 0.009649869985878468, lr = [1.25e-05] +[2024-05-27 06:14:21,586] - INFO: Epoch 3469/9999, Iter 346840: Loss = 0.006908424198627472, lr = [1.25e-05] +[2024-05-27 06:14:48,874] - INFO: Epoch 3469/9999, Iter 346880: Loss = 0.012105853296816349, lr = [1.25e-05] +[2024-05-27 06:15:17,628] - INFO: Epoch 3470/9999, Iter 346920: Loss = 0.007006583269685507, lr = [1.25e-05] +[2024-05-27 06:15:44,838] - INFO: Epoch 3470/9999, Iter 346960: Loss = 0.011436357162892818, lr = [1.25e-05] +[2024-05-27 06:16:11,801] - INFO: Evaluate at epoch 3470! +[2024-05-27 06:16:16,403] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:16:16,403] - INFO: Eval PSNR (current): 38.242 (3470) SSIM (current): 0.9618 (3470) +[2024-05-27 06:16:16,403] - INFO: Evaluation over. +[2024-05-27 06:16:23,023] - INFO: Epoch 3471/9999, Iter 347000: Loss = 0.013020873069763184, lr = [1.25e-05] +[2024-05-27 06:16:50,302] - INFO: Epoch 3471/9999, Iter 347040: Loss = 0.007778889499604702, lr = [1.25e-05] +[2024-05-27 06:17:17,515] - INFO: Epoch 3471/9999, Iter 347080: Loss = 0.01537565141916275, lr = [1.25e-05] +[2024-05-27 06:17:46,220] - INFO: Epoch 3472/9999, Iter 347120: Loss = 0.010978356935083866, lr = [1.25e-05] +[2024-05-27 06:18:13,454] - INFO: Epoch 3472/9999, Iter 347160: Loss = 0.00974087044596672, lr = [1.25e-05] +[2024-05-27 06:18:42,024] - INFO: Epoch 3473/9999, Iter 347200: Loss = 0.01330876536667347, lr = [1.25e-05] +[2024-05-27 06:19:09,278] - INFO: Epoch 3473/9999, Iter 347240: Loss = 0.007219510152935982, lr = [1.25e-05] +[2024-05-27 06:19:36,430] - INFO: Epoch 3473/9999, Iter 347280: Loss = 0.015289289876818657, lr = [1.25e-05] +[2024-05-27 06:20:05,078] - INFO: Epoch 3474/9999, Iter 347320: Loss = 0.019572244957089424, lr = [1.25e-05] +[2024-05-27 06:20:32,287] - INFO: Epoch 3474/9999, Iter 347360: Loss = 0.008652572520077229, lr = [1.25e-05] +[2024-05-27 06:21:01,133] - INFO: Epoch 3475/9999, Iter 347400: Loss = 0.012552926316857338, lr = [1.25e-05] +[2024-05-27 06:21:28,430] - INFO: Epoch 3475/9999, Iter 347440: Loss = 0.016215119510889053, lr = [1.25e-05] +[2024-05-27 06:21:55,584] - INFO: Epoch 3475/9999, Iter 347480: Loss = 0.007772404700517654, lr = [1.25e-05] +[2024-05-27 06:22:08,866] - INFO: Evaluate at epoch 3475! +[2024-05-27 06:22:13,536] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:22:13,536] - INFO: Eval PSNR (current): 38.235 (3475) SSIM (current): 0.9617 (3475) +[2024-05-27 06:22:13,536] - INFO: Evaluation over. +[2024-05-27 06:22:34,138] - INFO: Epoch 3476/9999, Iter 347520: Loss = 0.007390789687633514, lr = [1.25e-05] +[2024-05-27 06:23:01,314] - INFO: Epoch 3476/9999, Iter 347560: Loss = 0.009474809281527996, lr = [1.25e-05] +[2024-05-27 06:23:29,916] - INFO: Epoch 3477/9999, Iter 347600: Loss = 0.015718257054686546, lr = [1.25e-05] +[2024-05-27 06:23:57,142] - INFO: Epoch 3477/9999, Iter 347640: Loss = 0.010020313784480095, lr = [1.25e-05] +[2024-05-27 06:24:24,415] - INFO: Epoch 3477/9999, Iter 347680: Loss = 0.012634435668587685, lr = [1.25e-05] +[2024-05-27 06:24:53,057] - INFO: Epoch 3478/9999, Iter 347720: Loss = 0.016801921650767326, lr = [1.25e-05] +[2024-05-27 06:25:20,178] - INFO: Epoch 3478/9999, Iter 347760: Loss = 0.00798719935119152, lr = [1.25e-05] +[2024-05-27 06:25:48,816] - INFO: Epoch 3479/9999, Iter 347800: Loss = 0.00986485369503498, lr = [1.25e-05] +[2024-05-27 06:26:16,138] - INFO: Epoch 3479/9999, Iter 347840: Loss = 0.021717336028814316, lr = [1.25e-05] +[2024-05-27 06:26:43,306] - INFO: Epoch 3479/9999, Iter 347880: Loss = 0.008537689223885536, lr = [1.25e-05] +[2024-05-27 06:27:12,110] - INFO: Epoch 3480/9999, Iter 347920: Loss = 0.011199408210814, lr = [1.25e-05] +[2024-05-27 06:27:39,292] - INFO: Epoch 3480/9999, Iter 347960: Loss = 0.011173832230269909, lr = [1.25e-05] +[2024-05-27 06:28:06,130] - INFO: Evaluate at epoch 3480! +[2024-05-27 06:28:10,766] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:28:10,766] - INFO: Eval PSNR (current): 38.242 (3480) SSIM (current): 0.9618 (3480) +[2024-05-27 06:28:10,766] - INFO: Evaluation over. +[2024-05-27 06:28:17,508] - INFO: Epoch 3481/9999, Iter 348000: Loss = 0.018651746213436127, lr = [1.25e-05] +[2024-05-27 06:28:44,830] - INFO: Epoch 3481/9999, Iter 348040: Loss = 0.010946713387966156, lr = [1.25e-05] +[2024-05-27 06:29:12,086] - INFO: Epoch 3481/9999, Iter 348080: Loss = 0.011603047139942646, lr = [1.25e-05] +[2024-05-27 06:29:40,866] - INFO: Epoch 3482/9999, Iter 348120: Loss = 0.007680666167289019, lr = [1.25e-05] +[2024-05-27 06:30:08,138] - INFO: Epoch 3482/9999, Iter 348160: Loss = 0.022481992840766907, lr = [1.25e-05] +[2024-05-27 06:30:36,560] - INFO: Epoch 3483/9999, Iter 348200: Loss = 0.009240773506462574, lr = [1.25e-05] +[2024-05-27 06:31:03,923] - INFO: Epoch 3483/9999, Iter 348240: Loss = 0.012101821601390839, lr = [1.25e-05] +[2024-05-27 06:31:31,108] - INFO: Epoch 3483/9999, Iter 348280: Loss = 0.012987745925784111, lr = [1.25e-05] +[2024-05-27 06:31:59,696] - INFO: Epoch 3484/9999, Iter 348320: Loss = 0.011214013211429119, lr = [1.25e-05] +[2024-05-27 06:32:26,839] - INFO: Epoch 3484/9999, Iter 348360: Loss = 0.010599751956760883, lr = [1.25e-05] +[2024-05-27 06:32:55,508] - INFO: Epoch 3485/9999, Iter 348400: Loss = 0.013765577226877213, lr = [1.25e-05] +[2024-05-27 06:33:22,780] - INFO: Epoch 3485/9999, Iter 348440: Loss = 0.011114167049527168, lr = [1.25e-05] +[2024-05-27 06:33:49,988] - INFO: Epoch 3485/9999, Iter 348480: Loss = 0.01291949674487114, lr = [1.25e-05] +[2024-05-27 06:34:03,307] - INFO: Evaluate at epoch 3485! +[2024-05-27 06:34:08,019] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:34:08,019] - INFO: Eval PSNR (current): 38.238 (3485) SSIM (current): 0.9617 (3485) +[2024-05-27 06:34:08,019] - INFO: Evaluation over. +[2024-05-27 06:34:28,818] - INFO: Epoch 3486/9999, Iter 348520: Loss = 0.017309516668319702, lr = [1.25e-05] +[2024-05-27 06:34:55,986] - INFO: Epoch 3486/9999, Iter 348560: Loss = 0.0070469677448272705, lr = [1.25e-05] +[2024-05-27 06:35:24,343] - INFO: Epoch 3487/9999, Iter 348600: Loss = 0.011783141642808914, lr = [1.25e-05] +[2024-05-27 06:35:51,595] - INFO: Epoch 3487/9999, Iter 348640: Loss = 0.013273262418806553, lr = [1.25e-05] +[2024-05-27 06:36:18,818] - INFO: Epoch 3487/9999, Iter 348680: Loss = 0.012995678000152111, lr = [1.25e-05] +[2024-05-27 06:36:47,510] - INFO: Epoch 3488/9999, Iter 348720: Loss = 0.02244723215699196, lr = [1.25e-05] +[2024-05-27 06:37:14,795] - INFO: Epoch 3488/9999, Iter 348760: Loss = 0.015771090984344482, lr = [1.25e-05] +[2024-05-27 06:37:43,392] - INFO: Epoch 3489/9999, Iter 348800: Loss = 0.008156538009643555, lr = [1.25e-05] +[2024-05-27 06:38:10,651] - INFO: Epoch 3489/9999, Iter 348840: Loss = 0.006591512355953455, lr = [1.25e-05] +[2024-05-27 06:38:37,798] - INFO: Epoch 3489/9999, Iter 348880: Loss = 0.00893895048648119, lr = [1.25e-05] +[2024-05-27 06:39:06,862] - INFO: Epoch 3490/9999, Iter 348920: Loss = 0.01788395084440708, lr = [1.25e-05] +[2024-05-27 06:39:34,103] - INFO: Epoch 3490/9999, Iter 348960: Loss = 0.010281240567564964, lr = [1.25e-05] +[2024-05-27 06:40:00,967] - INFO: Evaluate at epoch 3490! +[2024-05-27 06:40:05,565] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:40:05,565] - INFO: Eval PSNR (current): 38.232 (3490) SSIM (current): 0.9617 (3490) +[2024-05-27 06:40:05,565] - INFO: Evaluation over. +[2024-05-27 06:40:12,386] - INFO: Epoch 3491/9999, Iter 349000: Loss = 0.010086501017212868, lr = [1.25e-05] +[2024-05-27 06:40:39,706] - INFO: Epoch 3491/9999, Iter 349040: Loss = 0.011833567172288895, lr = [1.25e-05] +[2024-05-27 06:41:06,899] - INFO: Epoch 3491/9999, Iter 349080: Loss = 0.007917564362287521, lr = [1.25e-05] +[2024-05-27 06:41:35,462] - INFO: Epoch 3492/9999, Iter 349120: Loss = 0.006998223718255758, lr = [1.25e-05] +[2024-05-27 06:42:02,720] - INFO: Epoch 3492/9999, Iter 349160: Loss = 0.007695683278143406, lr = [1.25e-05] +[2024-05-27 06:42:31,260] - INFO: Epoch 3493/9999, Iter 349200: Loss = 0.015151781029999256, lr = [1.25e-05] +[2024-05-27 06:42:58,506] - INFO: Epoch 3493/9999, Iter 349240: Loss = 0.013123036362230778, lr = [1.25e-05] +[2024-05-27 06:43:25,686] - INFO: Epoch 3493/9999, Iter 349280: Loss = 0.010798151604831219, lr = [1.25e-05] +[2024-05-27 06:43:54,395] - INFO: Epoch 3494/9999, Iter 349320: Loss = 0.012522664852440357, lr = [1.25e-05] +[2024-05-27 06:44:21,540] - INFO: Epoch 3494/9999, Iter 349360: Loss = 0.00949953030794859, lr = [1.25e-05] +[2024-05-27 06:44:50,244] - INFO: Epoch 3495/9999, Iter 349400: Loss = 0.013866448774933815, lr = [1.25e-05] +[2024-05-27 06:45:17,558] - INFO: Epoch 3495/9999, Iter 349440: Loss = 0.00870185624808073, lr = [1.25e-05] +[2024-05-27 06:45:44,686] - INFO: Epoch 3495/9999, Iter 349480: Loss = 0.014264201745390892, lr = [1.25e-05] +[2024-05-27 06:45:57,992] - INFO: Evaluate at epoch 3495! +[2024-05-27 06:46:02,763] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:46:02,764] - INFO: Eval PSNR (current): 38.233 (3495) SSIM (current): 0.9618 (3495) +[2024-05-27 06:46:02,764] - INFO: Evaluation over. +[2024-05-27 06:46:23,167] - INFO: Epoch 3496/9999, Iter 349520: Loss = 0.012626832351088524, lr = [1.25e-05] +[2024-05-27 06:46:50,390] - INFO: Epoch 3496/9999, Iter 349560: Loss = 0.014845112338662148, lr = [1.25e-05] +[2024-05-27 06:47:18,901] - INFO: Epoch 3497/9999, Iter 349600: Loss = 0.012436789460480213, lr = [1.25e-05] +[2024-05-27 06:47:46,257] - INFO: Epoch 3497/9999, Iter 349640: Loss = 0.017310811206698418, lr = [1.25e-05] +[2024-05-27 06:48:13,424] - INFO: Epoch 3497/9999, Iter 349680: Loss = 0.008603088557720184, lr = [1.25e-05] +[2024-05-27 06:48:41,873] - INFO: Epoch 3498/9999, Iter 349720: Loss = 0.013367961160838604, lr = [1.25e-05] +[2024-05-27 06:49:09,050] - INFO: Epoch 3498/9999, Iter 349760: Loss = 0.008585749194025993, lr = [1.25e-05] +[2024-05-27 06:49:37,638] - INFO: Epoch 3499/9999, Iter 349800: Loss = 0.013368715532124043, lr = [1.25e-05] +[2024-05-27 06:50:04,961] - INFO: Epoch 3499/9999, Iter 349840: Loss = 0.01619833894073963, lr = [1.25e-05] +[2024-05-27 06:50:32,133] - INFO: Epoch 3499/9999, Iter 349880: Loss = 0.014983735978603363, lr = [1.25e-05] +[2024-05-27 06:51:00,849] - INFO: Epoch 3500/9999, Iter 349920: Loss = 0.0128084197640419, lr = [1.25e-05] +[2024-05-27 06:51:28,083] - INFO: Epoch 3500/9999, Iter 349960: Loss = 0.005266781430691481, lr = [1.25e-05] +[2024-05-27 06:51:54,861] - INFO: Evaluate at epoch 3500! +[2024-05-27 06:51:59,447] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:51:59,448] - INFO: Eval PSNR (current): 38.232 (3500) SSIM (current): 0.9617 (3500) +[2024-05-27 06:51:59,448] - INFO: Evaluation over. +[2024-05-27 06:52:06,365] - INFO: Epoch 3501/9999, Iter 350000: Loss = 0.016499964520335197, lr = [1.25e-05] +[2024-05-27 06:52:33,630] - INFO: Epoch 3501/9999, Iter 350040: Loss = 0.014738460071384907, lr = [1.25e-05] +[2024-05-27 06:53:00,814] - INFO: Epoch 3501/9999, Iter 350080: Loss = 0.01374984160065651, lr = [1.25e-05] +[2024-05-27 06:53:29,451] - INFO: Epoch 3502/9999, Iter 350120: Loss = 0.01568927802145481, lr = [1.25e-05] +[2024-05-27 06:53:56,684] - INFO: Epoch 3502/9999, Iter 350160: Loss = 0.01658492721617222, lr = [1.25e-05] +[2024-05-27 06:54:25,250] - INFO: Epoch 3503/9999, Iter 350200: Loss = 0.008339756168425083, lr = [1.25e-05] +[2024-05-27 06:54:52,534] - INFO: Epoch 3503/9999, Iter 350240: Loss = 0.023590102791786194, lr = [1.25e-05] +[2024-05-27 06:55:19,712] - INFO: Epoch 3503/9999, Iter 350280: Loss = 0.01197904720902443, lr = [1.25e-05] +[2024-05-27 06:55:48,256] - INFO: Epoch 3504/9999, Iter 350320: Loss = 0.012007707729935646, lr = [1.25e-05] +[2024-05-27 06:56:15,484] - INFO: Epoch 3504/9999, Iter 350360: Loss = 0.009173846803605556, lr = [1.25e-05] +[2024-05-27 06:56:43,884] - INFO: Epoch 3505/9999, Iter 350400: Loss = 0.01618865318596363, lr = [1.25e-05] +[2024-05-27 06:57:11,215] - INFO: Epoch 3505/9999, Iter 350440: Loss = 0.004248315002769232, lr = [1.25e-05] +[2024-05-27 06:57:38,422] - INFO: Epoch 3505/9999, Iter 350480: Loss = 0.01745258830487728, lr = [1.25e-05] +[2024-05-27 06:57:51,700] - INFO: Evaluate at epoch 3505! +[2024-05-27 06:57:56,320] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:57:56,320] - INFO: Eval PSNR (current): 38.236 (3505) SSIM (current): 0.9618 (3505) +[2024-05-27 06:57:56,320] - INFO: Evaluation over. +[2024-05-27 06:58:16,690] - INFO: Epoch 3506/9999, Iter 350520: Loss = 0.010030548088252544, lr = [1.25e-05] +[2024-05-27 06:58:43,917] - INFO: Epoch 3506/9999, Iter 350560: Loss = 0.010954801924526691, lr = [1.25e-05] +[2024-05-27 06:59:12,497] - INFO: Epoch 3507/9999, Iter 350600: Loss = 0.01575404778122902, lr = [1.25e-05] +[2024-05-27 06:59:39,718] - INFO: Epoch 3507/9999, Iter 350640: Loss = 0.014966635964810848, lr = [1.25e-05] +[2024-05-27 07:00:06,921] - INFO: Epoch 3507/9999, Iter 350680: Loss = 0.015297154895961285, lr = [1.25e-05] +[2024-05-27 07:00:35,615] - INFO: Epoch 3508/9999, Iter 350720: Loss = 0.011443529278039932, lr = [1.25e-05] +[2024-05-27 07:01:02,827] - INFO: Epoch 3508/9999, Iter 350760: Loss = 0.01264902949333191, lr = [1.25e-05] +[2024-05-27 07:01:31,481] - INFO: Epoch 3509/9999, Iter 350800: Loss = 0.008595919236540794, lr = [1.25e-05] +[2024-05-27 07:01:58,786] - INFO: Epoch 3509/9999, Iter 350840: Loss = 0.019725512713193893, lr = [1.25e-05] +[2024-05-27 07:02:25,968] - INFO: Epoch 3509/9999, Iter 350880: Loss = 0.013462175615131855, lr = [1.25e-05] +[2024-05-27 07:02:54,647] - INFO: Epoch 3510/9999, Iter 350920: Loss = 0.0071617839857935905, lr = [1.25e-05] +[2024-05-27 07:03:21,908] - INFO: Epoch 3510/9999, Iter 350960: Loss = 0.015025139786303043, lr = [1.25e-05] +[2024-05-27 07:03:48,782] - INFO: Evaluate at epoch 3510! +[2024-05-27 07:03:53,440] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:03:53,440] - INFO: Eval PSNR (current): 38.219 (3510) SSIM (current): 0.9617 (3510) +[2024-05-27 07:03:53,440] - INFO: Evaluation over. +[2024-05-27 07:04:00,296] - INFO: Epoch 3511/9999, Iter 351000: Loss = 0.010906647890806198, lr = [1.25e-05] +[2024-05-27 07:04:27,579] - INFO: Epoch 3511/9999, Iter 351040: Loss = 0.009227428585290909, lr = [1.25e-05] +[2024-05-27 07:04:54,762] - INFO: Epoch 3511/9999, Iter 351080: Loss = 0.011431952007114887, lr = [1.25e-05] +[2024-05-27 07:05:23,575] - INFO: Epoch 3512/9999, Iter 351120: Loss = 0.016878977417945862, lr = [1.25e-05] +[2024-05-27 07:05:50,739] - INFO: Epoch 3512/9999, Iter 351160: Loss = 0.015642477199435234, lr = [1.25e-05] +[2024-05-27 07:06:19,304] - INFO: Epoch 3513/9999, Iter 351200: Loss = 0.017587855458259583, lr = [1.25e-05] +[2024-05-27 07:06:46,542] - INFO: Epoch 3513/9999, Iter 351240: Loss = 0.012940146028995514, lr = [1.25e-05] +[2024-05-27 07:07:13,828] - INFO: Epoch 3513/9999, Iter 351280: Loss = 0.01590043678879738, lr = [1.25e-05] +[2024-05-27 07:07:42,468] - INFO: Epoch 3514/9999, Iter 351320: Loss = 0.011204301379621029, lr = [1.25e-05] +[2024-05-27 07:08:09,684] - INFO: Epoch 3514/9999, Iter 351360: Loss = 0.012701927684247494, lr = [1.25e-05] +[2024-05-27 07:08:38,125] - INFO: Epoch 3515/9999, Iter 351400: Loss = 0.004168711137026548, lr = [1.25e-05] +[2024-05-27 07:09:05,478] - INFO: Epoch 3515/9999, Iter 351440: Loss = 0.014545758254826069, lr = [1.25e-05] +[2024-05-27 07:09:32,658] - INFO: Epoch 3515/9999, Iter 351480: Loss = 0.010300107300281525, lr = [1.25e-05] +[2024-05-27 07:09:45,952] - INFO: Evaluate at epoch 3515! +[2024-05-27 07:09:50,489] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:09:50,489] - INFO: Eval PSNR (current): 38.230 (3515) SSIM (current): 0.9617 (3515) +[2024-05-27 07:09:50,489] - INFO: Evaluation over. +[2024-05-27 07:10:11,084] - INFO: Epoch 3516/9999, Iter 351520: Loss = 0.01342553086578846, lr = [1.25e-05] +[2024-05-27 07:10:38,346] - INFO: Epoch 3516/9999, Iter 351560: Loss = 0.011753053404390812, lr = [1.25e-05] +[2024-05-27 07:11:06,901] - INFO: Epoch 3517/9999, Iter 351600: Loss = 0.008836530148983002, lr = [1.25e-05] +[2024-05-27 07:11:34,222] - INFO: Epoch 3517/9999, Iter 351640: Loss = 0.023292630910873413, lr = [1.25e-05] +[2024-05-27 07:12:01,384] - INFO: Epoch 3517/9999, Iter 351680: Loss = 0.008293429389595985, lr = [1.25e-05] +[2024-05-27 07:12:30,183] - INFO: Epoch 3518/9999, Iter 351720: Loss = 0.012690747156739235, lr = [1.25e-05] +[2024-05-27 07:12:57,436] - INFO: Epoch 3518/9999, Iter 351760: Loss = 0.015057842247188091, lr = [1.25e-05] +[2024-05-27 07:13:26,140] - INFO: Epoch 3519/9999, Iter 351800: Loss = 0.013017997145652771, lr = [1.25e-05] +[2024-05-27 07:13:53,511] - INFO: Epoch 3519/9999, Iter 351840: Loss = 0.010704247280955315, lr = [1.25e-05] +[2024-05-27 07:14:20,674] - INFO: Epoch 3519/9999, Iter 351880: Loss = 0.012776913121342659, lr = [1.25e-05] +[2024-05-27 07:14:49,638] - INFO: Epoch 3520/9999, Iter 351920: Loss = 0.013006044551730156, lr = [1.25e-05] +[2024-05-27 07:15:16,814] - INFO: Epoch 3520/9999, Iter 351960: Loss = 0.0175100639462471, lr = [1.25e-05] +[2024-05-27 07:15:43,756] - INFO: Evaluate at epoch 3520! +[2024-05-27 07:15:48,414] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:15:48,414] - INFO: Eval PSNR (current): 38.241 (3520) SSIM (current): 0.9618 (3520) +[2024-05-27 07:15:48,414] - INFO: Evaluation over. +[2024-05-27 07:15:55,444] - INFO: Epoch 3521/9999, Iter 352000: Loss = 0.010434805415570736, lr = [1.25e-05] +[2024-05-27 07:16:22,778] - INFO: Epoch 3521/9999, Iter 352040: Loss = 0.014421937987208366, lr = [1.25e-05] +[2024-05-27 07:16:49,951] - INFO: Epoch 3521/9999, Iter 352080: Loss = 0.01157231256365776, lr = [1.25e-05] +[2024-05-27 07:17:18,670] - INFO: Epoch 3522/9999, Iter 352120: Loss = 0.01853588968515396, lr = [1.25e-05] +[2024-05-27 07:17:45,842] - INFO: Epoch 3522/9999, Iter 352160: Loss = 0.013427399098873138, lr = [1.25e-05] +[2024-05-27 07:18:14,514] - INFO: Epoch 3523/9999, Iter 352200: Loss = 0.014324347488582134, lr = [1.25e-05] +[2024-05-27 07:18:41,818] - INFO: Epoch 3523/9999, Iter 352240: Loss = 0.017879070714116096, lr = [1.25e-05] +[2024-05-27 07:19:08,996] - INFO: Epoch 3523/9999, Iter 352280: Loss = 0.021823540329933167, lr = [1.25e-05] +[2024-05-27 07:19:37,818] - INFO: Epoch 3524/9999, Iter 352320: Loss = 0.011074534617364407, lr = [1.25e-05] +[2024-05-27 07:20:05,058] - INFO: Epoch 3524/9999, Iter 352360: Loss = 0.003934943582862616, lr = [1.25e-05] +[2024-05-27 07:20:33,481] - INFO: Epoch 3525/9999, Iter 352400: Loss = 0.011392873711884022, lr = [1.25e-05] +[2024-05-27 07:21:00,772] - INFO: Epoch 3525/9999, Iter 352440: Loss = 0.011488951742649078, lr = [1.25e-05] +[2024-05-27 07:21:27,952] - INFO: Epoch 3525/9999, Iter 352480: Loss = 0.009370926767587662, lr = [1.25e-05] +[2024-05-27 07:21:41,280] - INFO: Evaluate at epoch 3525! +[2024-05-27 07:21:45,841] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:21:45,841] - INFO: Eval PSNR (current): 38.225 (3525) SSIM (current): 0.9617 (3525) +[2024-05-27 07:21:45,841] - INFO: Evaluation over. +[2024-05-27 07:22:06,230] - INFO: Epoch 3526/9999, Iter 352520: Loss = 0.010218657553195953, lr = [1.25e-05] +[2024-05-27 07:22:33,461] - INFO: Epoch 3526/9999, Iter 352560: Loss = 0.020240802317857742, lr = [1.25e-05] +[2024-05-27 07:23:02,012] - INFO: Epoch 3527/9999, Iter 352600: Loss = 0.004639592487365007, lr = [1.25e-05] +[2024-05-27 07:23:29,341] - INFO: Epoch 3527/9999, Iter 352640: Loss = 0.007709043100476265, lr = [1.25e-05] +[2024-05-27 07:23:56,574] - INFO: Epoch 3527/9999, Iter 352680: Loss = 0.013700691051781178, lr = [1.25e-05] +[2024-05-27 07:24:25,131] - INFO: Epoch 3528/9999, Iter 352720: Loss = 0.008794829249382019, lr = [1.25e-05] +[2024-05-27 07:24:52,321] - INFO: Epoch 3528/9999, Iter 352760: Loss = 0.008461530320346355, lr = [1.25e-05] +[2024-05-27 07:25:20,754] - INFO: Epoch 3529/9999, Iter 352800: Loss = 0.006897779647260904, lr = [1.25e-05] +[2024-05-27 07:25:48,087] - INFO: Epoch 3529/9999, Iter 352840: Loss = 0.00820842944085598, lr = [1.25e-05] +[2024-05-27 07:26:15,302] - INFO: Epoch 3529/9999, Iter 352880: Loss = 0.015680912882089615, lr = [1.25e-05] +[2024-05-27 07:26:43,798] - INFO: Epoch 3530/9999, Iter 352920: Loss = 0.010181115940213203, lr = [1.25e-05] +[2024-05-27 07:27:11,079] - INFO: Epoch 3530/9999, Iter 352960: Loss = 0.015460443682968616, lr = [1.25e-05] +[2024-05-27 07:27:38,022] - INFO: Evaluate at epoch 3530! +[2024-05-27 07:27:42,738] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:27:42,739] - INFO: Eval PSNR (current): 38.235 (3530) SSIM (current): 0.9617 (3530) +[2024-05-27 07:27:42,739] - INFO: Evaluation over. +[2024-05-27 07:27:49,656] - INFO: Epoch 3531/9999, Iter 353000: Loss = 0.011415095999836922, lr = [1.25e-05] +[2024-05-27 07:28:16,978] - INFO: Epoch 3531/9999, Iter 353040: Loss = 0.010769118554890156, lr = [1.25e-05] +[2024-05-27 07:28:44,210] - INFO: Epoch 3531/9999, Iter 353080: Loss = 0.01885322295129299, lr = [1.25e-05] +[2024-05-27 07:29:12,922] - INFO: Epoch 3532/9999, Iter 353120: Loss = 0.019444560632109642, lr = [1.25e-05] +[2024-05-27 07:29:40,079] - INFO: Epoch 3532/9999, Iter 353160: Loss = 0.012480197474360466, lr = [1.25e-05] +[2024-05-27 07:30:08,723] - INFO: Epoch 3533/9999, Iter 353200: Loss = 0.007452392019331455, lr = [1.25e-05] +[2024-05-27 07:30:35,982] - INFO: Epoch 3533/9999, Iter 353240: Loss = 0.009138285182416439, lr = [1.25e-05] +[2024-05-27 07:31:03,182] - INFO: Epoch 3533/9999, Iter 353280: Loss = 0.016881726682186127, lr = [1.25e-05] +[2024-05-27 07:31:31,712] - INFO: Epoch 3534/9999, Iter 353320: Loss = 0.006620933301746845, lr = [1.25e-05] +[2024-05-27 07:31:58,906] - INFO: Epoch 3534/9999, Iter 353360: Loss = 0.02125665917992592, lr = [1.25e-05] +[2024-05-27 07:32:27,369] - INFO: Epoch 3535/9999, Iter 353400: Loss = 0.01470447052270174, lr = [1.25e-05] +[2024-05-27 07:32:54,665] - INFO: Epoch 3535/9999, Iter 353440: Loss = 0.0091458261013031, lr = [1.25e-05] +[2024-05-27 07:33:21,834] - INFO: Epoch 3535/9999, Iter 353480: Loss = 0.01270171720534563, lr = [1.25e-05] +[2024-05-27 07:33:35,135] - INFO: Evaluate at epoch 3535! +[2024-05-27 07:33:44,960] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:33:44,960] - INFO: Eval PSNR (current): 38.258 (3535) SSIM (current): 0.9618 (3535) +[2024-05-27 07:33:44,960] - INFO: Evaluation over. +[2024-05-27 07:34:05,162] - INFO: Epoch 3536/9999, Iter 353520: Loss = 0.010104679502546787, lr = [1.25e-05] +[2024-05-27 07:34:32,362] - INFO: Epoch 3536/9999, Iter 353560: Loss = 0.009029765613377094, lr = [1.25e-05] +[2024-05-27 07:35:00,918] - INFO: Epoch 3537/9999, Iter 353600: Loss = 0.011543748900294304, lr = [1.25e-05] +[2024-05-27 07:35:28,170] - INFO: Epoch 3537/9999, Iter 353640: Loss = 0.01984853856265545, lr = [1.25e-05] +[2024-05-27 07:35:55,342] - INFO: Epoch 3537/9999, Iter 353680: Loss = 0.015964636579155922, lr = [1.25e-05] +[2024-05-27 07:36:24,062] - INFO: Epoch 3538/9999, Iter 353720: Loss = 0.008067839778959751, lr = [1.25e-05] +[2024-05-27 07:36:51,237] - INFO: Epoch 3538/9999, Iter 353760: Loss = 0.010005688294768333, lr = [1.25e-05] +[2024-05-27 07:37:20,102] - INFO: Epoch 3539/9999, Iter 353800: Loss = 0.010886958800256252, lr = [1.25e-05] +[2024-05-27 07:37:47,419] - INFO: Epoch 3539/9999, Iter 353840: Loss = 0.018877414986491203, lr = [1.25e-05] +[2024-05-27 07:38:14,718] - INFO: Epoch 3539/9999, Iter 353880: Loss = 0.01790151745080948, lr = [1.25e-05] +[2024-05-27 07:38:43,331] - INFO: Epoch 3540/9999, Iter 353920: Loss = 0.009424472227692604, lr = [1.25e-05] +[2024-05-27 07:39:10,566] - INFO: Epoch 3540/9999, Iter 353960: Loss = 0.006981649901717901, lr = [1.25e-05] +[2024-05-27 07:39:37,414] - INFO: Evaluate at epoch 3540! +[2024-05-27 07:39:42,012] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:39:42,012] - INFO: Eval PSNR (current): 38.223 (3540) SSIM (current): 0.9617 (3540) +[2024-05-27 07:39:42,012] - INFO: Evaluation over. +[2024-05-27 07:39:48,941] - INFO: Epoch 3541/9999, Iter 354000: Loss = 0.017470115795731544, lr = [1.25e-05] +[2024-05-27 07:40:16,204] - INFO: Epoch 3541/9999, Iter 354040: Loss = 0.00799357146024704, lr = [1.25e-05] +[2024-05-27 07:40:43,371] - INFO: Epoch 3541/9999, Iter 354080: Loss = 0.011439031921327114, lr = [1.25e-05] +[2024-05-27 07:41:12,054] - INFO: Epoch 3542/9999, Iter 354120: Loss = 0.012146102264523506, lr = [1.25e-05] +[2024-05-27 07:41:39,318] - INFO: Epoch 3542/9999, Iter 354160: Loss = 0.014566943049430847, lr = [1.25e-05] +[2024-05-27 07:42:07,889] - INFO: Epoch 3543/9999, Iter 354200: Loss = 0.007488291244953871, lr = [1.25e-05] +[2024-05-27 07:42:35,234] - INFO: Epoch 3543/9999, Iter 354240: Loss = 0.01370195858180523, lr = [1.25e-05] +[2024-05-27 07:43:02,480] - INFO: Epoch 3543/9999, Iter 354280: Loss = 0.024010661989450455, lr = [1.25e-05] +[2024-05-27 07:43:31,174] - INFO: Epoch 3544/9999, Iter 354320: Loss = 0.014884533360600471, lr = [1.25e-05] +[2024-05-27 07:43:58,354] - INFO: Epoch 3544/9999, Iter 354360: Loss = 0.013296268880367279, lr = [1.25e-05] +[2024-05-27 07:44:26,730] - INFO: Epoch 3545/9999, Iter 354400: Loss = 0.012129600159823895, lr = [1.25e-05] +[2024-05-27 07:44:54,026] - INFO: Epoch 3545/9999, Iter 354440: Loss = 0.010639691725373268, lr = [1.25e-05] +[2024-05-27 07:45:21,227] - INFO: Epoch 3545/9999, Iter 354480: Loss = 0.012715126387774944, lr = [1.25e-05] +[2024-05-27 07:45:34,501] - INFO: Evaluate at epoch 3545! +[2024-05-27 07:45:39,151] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:45:39,151] - INFO: Eval PSNR (current): 38.233 (3545) SSIM (current): 0.9618 (3545) +[2024-05-27 07:45:39,151] - INFO: Evaluation over. +[2024-05-27 07:45:59,594] - INFO: Epoch 3546/9999, Iter 354520: Loss = 0.004646875895559788, lr = [1.25e-05] +[2024-05-27 07:46:26,854] - INFO: Epoch 3546/9999, Iter 354560: Loss = 0.009278614073991776, lr = [1.25e-05] +[2024-05-27 07:46:57,382] - INFO: Epoch 3547/9999, Iter 354600: Loss = 0.012465703301131725, lr = [1.25e-05] +[2024-05-27 07:47:27,128] - INFO: Epoch 3547/9999, Iter 354640: Loss = 0.011612324975430965, lr = [1.25e-05] +[2024-05-27 07:47:57,604] - INFO: Epoch 3547/9999, Iter 354680: Loss = 0.011246665380895138, lr = [1.25e-05] +[2024-05-27 07:48:29,851] - INFO: Epoch 3548/9999, Iter 354720: Loss = 0.01033649779856205, lr = [1.25e-05] +[2024-05-27 07:48:57,107] - INFO: Epoch 3548/9999, Iter 354760: Loss = 0.011584288440644741, lr = [1.25e-05] +[2024-05-27 07:49:27,094] - INFO: Epoch 3549/9999, Iter 354800: Loss = 0.022170640528202057, lr = [1.25e-05] +[2024-05-27 07:49:54,384] - INFO: Epoch 3549/9999, Iter 354840: Loss = 0.006269919220358133, lr = [1.25e-05] +[2024-05-27 07:50:22,778] - INFO: Epoch 3549/9999, Iter 354880: Loss = 0.01758420281112194, lr = [1.25e-05] +[2024-05-27 07:50:51,887] - INFO: Epoch 3550/9999, Iter 354920: Loss = 0.01855377107858658, lr = [1.25e-05] +[2024-05-27 07:51:20,210] - INFO: Epoch 3550/9999, Iter 354960: Loss = 0.013449507765471935, lr = [1.25e-05] +[2024-05-27 07:51:47,204] - INFO: Evaluate at epoch 3550! +[2024-05-27 07:51:51,860] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:51:51,860] - INFO: Eval PSNR (current): 38.230 (3550) SSIM (current): 0.9617 (3550) +[2024-05-27 07:51:51,860] - INFO: Evaluation over. +[2024-05-27 07:52:03,921] - INFO: Epoch 3551/9999, Iter 355000: Loss = 0.009527146816253662, lr = [1.25e-05] +[2024-05-27 07:52:31,223] - INFO: Epoch 3551/9999, Iter 355040: Loss = 0.017517564818263054, lr = [1.25e-05] +[2024-05-27 07:52:59,688] - INFO: Epoch 3551/9999, Iter 355080: Loss = 0.010513218119740486, lr = [1.25e-05] +[2024-05-27 07:53:28,644] - INFO: Epoch 3552/9999, Iter 355120: Loss = 0.007582423742860556, lr = [1.25e-05] +[2024-05-27 07:53:56,745] - INFO: Epoch 3552/9999, Iter 355160: Loss = 0.01018344797194004, lr = [1.25e-05] +[2024-05-27 07:54:26,400] - INFO: Epoch 3553/9999, Iter 355200: Loss = 0.017238840460777283, lr = [1.25e-05] +[2024-05-27 07:54:54,014] - INFO: Epoch 3553/9999, Iter 355240: Loss = 0.015137733891606331, lr = [1.25e-05] +[2024-05-27 07:55:21,340] - INFO: Epoch 3553/9999, Iter 355280: Loss = 0.008450303226709366, lr = [1.25e-05] +[2024-05-27 07:55:49,986] - INFO: Epoch 3554/9999, Iter 355320: Loss = 0.010253522545099258, lr = [1.25e-05] +[2024-05-27 07:56:17,185] - INFO: Epoch 3554/9999, Iter 355360: Loss = 0.007341747172176838, lr = [1.25e-05] +[2024-05-27 07:56:45,685] - INFO: Epoch 3555/9999, Iter 355400: Loss = 0.01499136257916689, lr = [1.25e-05] +[2024-05-27 07:57:12,988] - INFO: Epoch 3555/9999, Iter 355440: Loss = 0.011904621496796608, lr = [1.25e-05] +[2024-05-27 07:57:40,143] - INFO: Epoch 3555/9999, Iter 355480: Loss = 0.011950060725212097, lr = [1.25e-05] +[2024-05-27 07:57:53,414] - INFO: Evaluate at epoch 3555! +[2024-05-27 07:57:58,072] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:57:58,072] - INFO: Eval PSNR (current): 38.242 (3555) SSIM (current): 0.9617 (3555) +[2024-05-27 07:57:58,072] - INFO: Evaluation over. +[2024-05-27 07:58:19,018] - INFO: Epoch 3556/9999, Iter 355520: Loss = 0.009495907463133335, lr = [1.25e-05] +[2024-05-27 07:58:46,207] - INFO: Epoch 3556/9999, Iter 355560: Loss = 0.01666010543704033, lr = [1.25e-05] +[2024-05-27 07:59:14,671] - INFO: Epoch 3557/9999, Iter 355600: Loss = 0.017027640715241432, lr = [1.25e-05] +[2024-05-27 07:59:41,901] - INFO: Epoch 3557/9999, Iter 355640: Loss = 0.014365402050316334, lr = [1.25e-05] +[2024-05-27 08:00:09,098] - INFO: Epoch 3557/9999, Iter 355680: Loss = 0.015976712107658386, lr = [1.25e-05] +[2024-05-27 08:00:37,726] - INFO: Epoch 3558/9999, Iter 355720: Loss = 0.020760074257850647, lr = [1.25e-05] +[2024-05-27 08:01:04,970] - INFO: Epoch 3558/9999, Iter 355760: Loss = 0.007642585318535566, lr = [1.25e-05] +[2024-05-27 08:01:33,468] - INFO: Epoch 3559/9999, Iter 355800: Loss = 0.02279987372457981, lr = [1.25e-05] +[2024-05-27 08:02:00,796] - INFO: Epoch 3559/9999, Iter 355840: Loss = 0.008293415419757366, lr = [1.25e-05] +[2024-05-27 08:02:27,930] - INFO: Epoch 3559/9999, Iter 355880: Loss = 0.006556022446602583, lr = [1.25e-05] +[2024-05-27 08:02:56,441] - INFO: Epoch 3560/9999, Iter 355920: Loss = 0.020071808248758316, lr = [1.25e-05] +[2024-05-27 08:03:23,590] - INFO: Epoch 3560/9999, Iter 355960: Loss = 0.010230904445052147, lr = [1.25e-05] +[2024-05-27 08:03:50,472] - INFO: Evaluate at epoch 3560! +[2024-05-27 08:03:55,100] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:03:55,100] - INFO: Eval PSNR (current): 38.251 (3560) SSIM (current): 0.9617 (3560) +[2024-05-27 08:03:55,100] - INFO: Evaluation over. +[2024-05-27 08:04:02,087] - INFO: Epoch 3561/9999, Iter 356000: Loss = 0.0050792028196156025, lr = [1.25e-05] +[2024-05-27 08:04:29,329] - INFO: Epoch 3561/9999, Iter 356040: Loss = 0.014064136892557144, lr = [1.25e-05] +[2024-05-27 08:04:56,529] - INFO: Epoch 3561/9999, Iter 356080: Loss = 0.014045700430870056, lr = [1.25e-05] +[2024-05-27 08:05:25,354] - INFO: Epoch 3562/9999, Iter 356120: Loss = 0.017994804307818413, lr = [1.25e-05] +[2024-05-27 08:05:52,510] - INFO: Epoch 3562/9999, Iter 356160: Loss = 0.01038680225610733, lr = [1.25e-05] +[2024-05-27 08:06:21,024] - INFO: Epoch 3563/9999, Iter 356200: Loss = 0.016081150621175766, lr = [1.25e-05] +[2024-05-27 08:06:48,262] - INFO: Epoch 3563/9999, Iter 356240: Loss = 0.008868297562003136, lr = [1.25e-05] +[2024-05-27 08:07:15,521] - INFO: Epoch 3563/9999, Iter 356280: Loss = 0.014607273042201996, lr = [1.25e-05] +[2024-05-27 08:07:44,286] - INFO: Epoch 3564/9999, Iter 356320: Loss = 0.013620303943753242, lr = [1.25e-05] +[2024-05-27 08:08:11,438] - INFO: Epoch 3564/9999, Iter 356360: Loss = 0.007472796831279993, lr = [1.25e-05] +[2024-05-27 08:08:39,928] - INFO: Epoch 3565/9999, Iter 356400: Loss = 0.010697649791836739, lr = [1.25e-05] +[2024-05-27 08:09:07,170] - INFO: Epoch 3565/9999, Iter 356440: Loss = 0.015128013677895069, lr = [1.25e-05] +[2024-05-27 08:09:34,414] - INFO: Epoch 3565/9999, Iter 356480: Loss = 0.006393524818122387, lr = [1.25e-05] +[2024-05-27 08:09:47,702] - INFO: Evaluate at epoch 3565! +[2024-05-27 08:09:52,468] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:09:52,469] - INFO: Eval PSNR (current): 38.249 (3565) SSIM (current): 0.9617 (3565) +[2024-05-27 08:09:52,469] - INFO: Evaluation over. +[2024-05-27 08:10:12,798] - INFO: Epoch 3566/9999, Iter 356520: Loss = 0.009086480364203453, lr = [1.25e-05] +[2024-05-27 08:10:39,983] - INFO: Epoch 3566/9999, Iter 356560: Loss = 0.01241894718259573, lr = [1.25e-05] +[2024-05-27 08:11:08,685] - INFO: Epoch 3567/9999, Iter 356600: Loss = 0.008855667896568775, lr = [1.25e-05] +[2024-05-27 08:11:36,006] - INFO: Epoch 3567/9999, Iter 356640: Loss = 0.010013681836426258, lr = [1.25e-05] +[2024-05-27 08:12:03,210] - INFO: Epoch 3567/9999, Iter 356680: Loss = 0.014467052184045315, lr = [1.25e-05] +[2024-05-27 08:12:31,719] - INFO: Epoch 3568/9999, Iter 356720: Loss = 0.01854376494884491, lr = [1.25e-05] +[2024-05-27 08:12:58,842] - INFO: Epoch 3568/9999, Iter 356760: Loss = 0.02172086015343666, lr = [1.25e-05] +[2024-05-27 08:13:27,584] - INFO: Epoch 3569/9999, Iter 356800: Loss = 0.016062498092651367, lr = [1.25e-05] +[2024-05-27 08:13:54,950] - INFO: Epoch 3569/9999, Iter 356840: Loss = 0.008719250559806824, lr = [1.25e-05] +[2024-05-27 08:14:22,155] - INFO: Epoch 3569/9999, Iter 356880: Loss = 0.006645799148827791, lr = [1.25e-05] +[2024-05-27 08:14:50,836] - INFO: Epoch 3570/9999, Iter 356920: Loss = 0.01140669360756874, lr = [1.25e-05] +[2024-05-27 08:15:17,959] - INFO: Epoch 3570/9999, Iter 356960: Loss = 0.00879341084510088, lr = [1.25e-05] +[2024-05-27 08:15:44,885] - INFO: Evaluate at epoch 3570! +[2024-05-27 08:15:49,603] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:15:49,603] - INFO: Eval PSNR (current): 38.244 (3570) SSIM (current): 0.9618 (3570) +[2024-05-27 08:15:49,603] - INFO: Evaluation over. +[2024-05-27 08:15:56,440] - INFO: Epoch 3571/9999, Iter 357000: Loss = 0.012844986282289028, lr = [1.25e-05] +[2024-05-27 08:16:23,718] - INFO: Epoch 3571/9999, Iter 357040: Loss = 0.00896088220179081, lr = [1.25e-05] +[2024-05-27 08:16:50,952] - INFO: Epoch 3571/9999, Iter 357080: Loss = 0.013967907987535, lr = [1.25e-05] +[2024-05-27 08:17:19,638] - INFO: Epoch 3572/9999, Iter 357120: Loss = 0.012347317300736904, lr = [1.25e-05] +[2024-05-27 08:17:46,860] - INFO: Epoch 3572/9999, Iter 357160: Loss = 0.010826622135937214, lr = [1.25e-05] +[2024-05-27 08:18:15,176] - INFO: Epoch 3573/9999, Iter 357200: Loss = 0.0064173596911132336, lr = [1.25e-05] +[2024-05-27 08:18:42,498] - INFO: Epoch 3573/9999, Iter 357240: Loss = 0.01013740710914135, lr = [1.25e-05] +[2024-05-27 08:19:09,735] - INFO: Epoch 3573/9999, Iter 357280: Loss = 0.01297663152217865, lr = [1.25e-05] +[2024-05-27 08:19:38,578] - INFO: Epoch 3574/9999, Iter 357320: Loss = 0.013640627264976501, lr = [1.25e-05] +[2024-05-27 08:20:05,798] - INFO: Epoch 3574/9999, Iter 357360: Loss = 0.011140352115035057, lr = [1.25e-05] +[2024-05-27 08:20:34,280] - INFO: Epoch 3575/9999, Iter 357400: Loss = 0.01289377361536026, lr = [1.25e-05] +[2024-05-27 08:21:01,548] - INFO: Epoch 3575/9999, Iter 357440: Loss = 0.012240523472428322, lr = [1.25e-05] +[2024-05-27 08:21:28,750] - INFO: Epoch 3575/9999, Iter 357480: Loss = 0.020724846050143242, lr = [1.25e-05] +[2024-05-27 08:21:42,014] - INFO: Evaluate at epoch 3575! +[2024-05-27 08:21:46,581] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:21:46,582] - INFO: Eval PSNR (current): 38.248 (3575) SSIM (current): 0.9618 (3575) +[2024-05-27 08:21:46,582] - INFO: Evaluation over. +[2024-05-27 08:22:06,939] - INFO: Epoch 3576/9999, Iter 357520: Loss = 0.009419266134500504, lr = [1.25e-05] +[2024-05-27 08:22:34,123] - INFO: Epoch 3576/9999, Iter 357560: Loss = 0.012272507883608341, lr = [1.25e-05] +[2024-05-27 08:23:02,741] - INFO: Epoch 3577/9999, Iter 357600: Loss = 0.008636162616312504, lr = [1.25e-05] +[2024-05-27 08:23:30,033] - INFO: Epoch 3577/9999, Iter 357640: Loss = 0.014885926619172096, lr = [1.25e-05] +[2024-05-27 08:23:57,188] - INFO: Epoch 3577/9999, Iter 357680: Loss = 0.011772734113037586, lr = [1.25e-05] +[2024-05-27 08:24:25,805] - INFO: Epoch 3578/9999, Iter 357720: Loss = 0.01647711731493473, lr = [1.25e-05] +[2024-05-27 08:24:52,980] - INFO: Epoch 3578/9999, Iter 357760: Loss = 0.022115591913461685, lr = [1.25e-05] +[2024-05-27 08:25:21,487] - INFO: Epoch 3579/9999, Iter 357800: Loss = 0.009779202751815319, lr = [1.25e-05] +[2024-05-27 08:25:48,788] - INFO: Epoch 3579/9999, Iter 357840: Loss = 0.01255301758646965, lr = [1.25e-05] +[2024-05-27 08:26:16,022] - INFO: Epoch 3579/9999, Iter 357880: Loss = 0.01186672318726778, lr = [1.25e-05] +[2024-05-27 08:26:44,535] - INFO: Epoch 3580/9999, Iter 357920: Loss = 0.009479719214141369, lr = [1.25e-05] +[2024-05-27 08:27:11,737] - INFO: Epoch 3580/9999, Iter 357960: Loss = 0.007041340693831444, lr = [1.25e-05] +[2024-05-27 08:27:38,646] - INFO: Evaluate at epoch 3580! +[2024-05-27 08:27:43,371] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:27:43,371] - INFO: Eval PSNR (current): 38.234 (3580) SSIM (current): 0.9618 (3580) +[2024-05-27 08:27:43,371] - INFO: Evaluation over. +[2024-05-27 08:27:49,974] - INFO: Epoch 3581/9999, Iter 358000: Loss = 0.00665476405993104, lr = [1.25e-05] +[2024-05-27 08:28:17,209] - INFO: Epoch 3581/9999, Iter 358040: Loss = 0.020360372960567474, lr = [1.25e-05] +[2024-05-27 08:28:44,426] - INFO: Epoch 3581/9999, Iter 358080: Loss = 0.012959299609065056, lr = [1.25e-05] +[2024-05-27 08:29:13,054] - INFO: Epoch 3582/9999, Iter 358120: Loss = 0.014213098213076591, lr = [1.25e-05] +[2024-05-27 08:29:40,290] - INFO: Epoch 3582/9999, Iter 358160: Loss = 0.01099472027271986, lr = [1.25e-05] +[2024-05-27 08:30:08,812] - INFO: Epoch 3583/9999, Iter 358200: Loss = 0.013583142310380936, lr = [1.25e-05] +[2024-05-27 08:30:36,083] - INFO: Epoch 3583/9999, Iter 358240: Loss = 0.019244015216827393, lr = [1.25e-05] +[2024-05-27 08:31:03,370] - INFO: Epoch 3583/9999, Iter 358280: Loss = 0.009272298775613308, lr = [1.25e-05] +[2024-05-27 08:31:32,078] - INFO: Epoch 3584/9999, Iter 358320: Loss = 0.011570334434509277, lr = [1.25e-05] +[2024-05-27 08:31:59,318] - INFO: Epoch 3584/9999, Iter 358360: Loss = 0.01698690839111805, lr = [1.25e-05] +[2024-05-27 08:32:27,730] - INFO: Epoch 3585/9999, Iter 358400: Loss = 0.013084269128739834, lr = [1.25e-05] +[2024-05-27 08:32:55,018] - INFO: Epoch 3585/9999, Iter 358440: Loss = 0.0065732840448617935, lr = [1.25e-05] +[2024-05-27 08:33:22,190] - INFO: Epoch 3585/9999, Iter 358480: Loss = 0.014729049988090992, lr = [1.25e-05] +[2024-05-27 08:33:35,443] - INFO: Evaluate at epoch 3585! +[2024-05-27 08:33:40,096] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:33:40,096] - INFO: Eval PSNR (current): 38.239 (3585) SSIM (current): 0.9617 (3585) +[2024-05-27 08:33:40,096] - INFO: Evaluation over. +[2024-05-27 08:34:00,719] - INFO: Epoch 3586/9999, Iter 358520: Loss = 0.017543349415063858, lr = [1.25e-05] +[2024-05-27 08:34:27,993] - INFO: Epoch 3586/9999, Iter 358560: Loss = 0.014357979409396648, lr = [1.25e-05] +[2024-05-27 08:34:56,869] - INFO: Epoch 3587/9999, Iter 358600: Loss = 0.015551206655800343, lr = [1.25e-05] +[2024-05-27 08:35:24,234] - INFO: Epoch 3587/9999, Iter 358640: Loss = 0.012651260010898113, lr = [1.25e-05] +[2024-05-27 08:35:51,433] - INFO: Epoch 3587/9999, Iter 358680: Loss = 0.010344596579670906, lr = [1.25e-05] +[2024-05-27 08:36:20,046] - INFO: Epoch 3588/9999, Iter 358720: Loss = 0.017898939549922943, lr = [1.25e-05] +[2024-05-27 08:36:47,247] - INFO: Epoch 3588/9999, Iter 358760: Loss = 0.012443214654922485, lr = [1.25e-05] +[2024-05-27 08:37:15,733] - INFO: Epoch 3589/9999, Iter 358800: Loss = 0.012935886159539223, lr = [1.25e-05] +[2024-05-27 08:37:43,043] - INFO: Epoch 3589/9999, Iter 358840: Loss = 0.017407787963747978, lr = [1.25e-05] +[2024-05-27 08:38:10,198] - INFO: Epoch 3589/9999, Iter 358880: Loss = 0.015398725867271423, lr = [1.25e-05] +[2024-05-27 08:38:38,698] - INFO: Epoch 3590/9999, Iter 358920: Loss = 0.013315461575984955, lr = [1.25e-05] +[2024-05-27 08:39:05,914] - INFO: Epoch 3590/9999, Iter 358960: Loss = 0.011883429251611233, lr = [1.25e-05] +[2024-05-27 08:39:32,873] - INFO: Evaluate at epoch 3590! +[2024-05-27 08:39:37,502] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:39:37,502] - INFO: Eval PSNR (current): 38.236 (3590) SSIM (current): 0.9617 (3590) +[2024-05-27 08:39:37,502] - INFO: Evaluation over. +[2024-05-27 08:39:44,597] - INFO: Epoch 3591/9999, Iter 359000: Loss = 0.007693628314882517, lr = [1.25e-05] +[2024-05-27 08:40:11,990] - INFO: Epoch 3591/9999, Iter 359040: Loss = 0.012117275968194008, lr = [1.25e-05] +[2024-05-27 08:40:39,210] - INFO: Epoch 3591/9999, Iter 359080: Loss = 0.014091645367443562, lr = [1.25e-05] +[2024-05-27 08:41:08,014] - INFO: Epoch 3592/9999, Iter 359120: Loss = 0.012066487222909927, lr = [1.25e-05] +[2024-05-27 08:41:35,183] - INFO: Epoch 3592/9999, Iter 359160: Loss = 0.018218500539660454, lr = [1.25e-05] +[2024-05-27 08:42:03,940] - INFO: Epoch 3593/9999, Iter 359200: Loss = 0.008028528653085232, lr = [1.25e-05] +[2024-05-27 08:42:31,294] - INFO: Epoch 3593/9999, Iter 359240: Loss = 0.011350417509675026, lr = [1.25e-05] +[2024-05-27 08:42:58,467] - INFO: Epoch 3593/9999, Iter 359280: Loss = 0.012100900523364544, lr = [1.25e-05] +[2024-05-27 08:43:26,955] - INFO: Epoch 3594/9999, Iter 359320: Loss = 0.015280216932296753, lr = [1.25e-05] +[2024-05-27 08:43:54,142] - INFO: Epoch 3594/9999, Iter 359360: Loss = 0.012402368709445, lr = [1.25e-05] +[2024-05-27 08:44:22,534] - INFO: Epoch 3595/9999, Iter 359400: Loss = 0.008735278621315956, lr = [1.25e-05] +[2024-05-27 08:44:49,856] - INFO: Epoch 3595/9999, Iter 359440: Loss = 0.01216144673526287, lr = [1.25e-05] +[2024-05-27 08:45:17,043] - INFO: Epoch 3595/9999, Iter 359480: Loss = 0.01222207397222519, lr = [1.25e-05] +[2024-05-27 08:45:30,286] - INFO: Evaluate at epoch 3595! +[2024-05-27 08:45:34,926] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:45:34,926] - INFO: Eval PSNR (current): 38.248 (3595) SSIM (current): 0.9618 (3595) +[2024-05-27 08:45:34,926] - INFO: Evaluation over. +[2024-05-27 08:45:55,518] - INFO: Epoch 3596/9999, Iter 359520: Loss = 0.006146091967821121, lr = [1.25e-05] +[2024-05-27 08:46:22,714] - INFO: Epoch 3596/9999, Iter 359560: Loss = 0.012523019686341286, lr = [1.25e-05] +[2024-05-27 08:46:51,437] - INFO: Epoch 3597/9999, Iter 359600: Loss = 0.01632291078567505, lr = [1.25e-05] +[2024-05-27 08:47:18,721] - INFO: Epoch 3597/9999, Iter 359640: Loss = 0.01615210808813572, lr = [1.25e-05] +[2024-05-27 08:47:45,862] - INFO: Epoch 3597/9999, Iter 359680: Loss = 0.013404116034507751, lr = [1.25e-05] +[2024-05-27 08:48:14,469] - INFO: Epoch 3598/9999, Iter 359720: Loss = 0.012959069572389126, lr = [1.25e-05] +[2024-05-27 08:48:41,674] - INFO: Epoch 3598/9999, Iter 359760: Loss = 0.016959387809038162, lr = [1.25e-05] +[2024-05-27 08:49:10,386] - INFO: Epoch 3599/9999, Iter 359800: Loss = 0.014837253838777542, lr = [1.25e-05] +[2024-05-27 08:49:37,790] - INFO: Epoch 3599/9999, Iter 359840: Loss = 0.01782868802547455, lr = [1.25e-05] +[2024-05-27 08:50:04,966] - INFO: Epoch 3599/9999, Iter 359880: Loss = 0.012568562291562557, lr = [1.25e-05] +[2024-05-27 08:50:33,922] - INFO: Epoch 3600/9999, Iter 359920: Loss = 0.017131969332695007, lr = [1.25e-05] +[2024-05-27 08:51:01,107] - INFO: Epoch 3600/9999, Iter 359960: Loss = 0.011403818614780903, lr = [1.25e-05] +[2024-05-27 08:51:27,980] - INFO: Evaluate at epoch 3600! +[2024-05-27 08:51:38,050] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 08:51:38,050] - INFO: Eval PSNR (current): 38.240 (3600) SSIM (current): 0.9618 (3600) +[2024-05-27 08:51:38,050] - INFO: Evaluation over. +[2024-05-27 08:51:44,858] - INFO: Epoch 3601/9999, Iter 360000: Loss = 0.016485009342432022, lr = [1.25e-05] +[2024-05-27 08:52:12,139] - INFO: Epoch 3601/9999, Iter 360040: Loss = 0.012961811386048794, lr = [1.25e-05] +[2024-05-27 08:52:39,313] - INFO: Epoch 3601/9999, Iter 360080: Loss = 0.012527820654213428, lr = [1.25e-05] +[2024-05-27 08:53:08,009] - INFO: Epoch 3602/9999, Iter 360120: Loss = 0.015667155385017395, lr = [1.25e-05] +[2024-05-27 08:53:35,200] - INFO: Epoch 3602/9999, Iter 360160: Loss = 0.010899714194238186, lr = [1.25e-05] +[2024-05-27 08:54:03,746] - INFO: Epoch 3603/9999, Iter 360200: Loss = 0.011742843315005302, lr = [1.25e-05] +[2024-05-27 08:54:31,094] - INFO: Epoch 3603/9999, Iter 360240: Loss = 0.020752886310219765, lr = [1.25e-05] +[2024-05-27 08:54:58,322] - INFO: Epoch 3603/9999, Iter 360280: Loss = 0.01385137252509594, lr = [1.25e-05] +[2024-05-27 08:55:27,194] - INFO: Epoch 3604/9999, Iter 360320: Loss = 0.007850469090044498, lr = [1.25e-05] +[2024-05-27 08:55:54,378] - INFO: Epoch 3604/9999, Iter 360360: Loss = 0.011348598636686802, lr = [1.25e-05] +[2024-05-27 08:56:22,900] - INFO: Epoch 3605/9999, Iter 360400: Loss = 0.018242763355374336, lr = [1.25e-05] +[2024-05-27 08:56:50,214] - INFO: Epoch 3605/9999, Iter 360440: Loss = 0.0166325680911541, lr = [1.25e-05] +[2024-05-27 08:57:17,425] - INFO: Epoch 3605/9999, Iter 360480: Loss = 0.005295217968523502, lr = [1.25e-05] +[2024-05-27 08:57:30,690] - INFO: Evaluate at epoch 3605! +[2024-05-27 08:57:35,262] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 08:57:35,262] - INFO: Eval PSNR (current): 38.234 (3605) SSIM (current): 0.9617 (3605) +[2024-05-27 08:57:35,262] - INFO: Evaluation over. +[2024-05-27 08:57:55,710] - INFO: Epoch 3606/9999, Iter 360520: Loss = 0.025133654475212097, lr = [1.25e-05] +[2024-05-27 08:58:22,946] - INFO: Epoch 3606/9999, Iter 360560: Loss = 0.010693490505218506, lr = [1.25e-05] +[2024-05-27 08:58:51,574] - INFO: Epoch 3607/9999, Iter 360600: Loss = 0.01150710042566061, lr = [1.25e-05] +[2024-05-27 08:59:18,899] - INFO: Epoch 3607/9999, Iter 360640: Loss = 0.015401446260511875, lr = [1.25e-05] +[2024-05-27 08:59:46,084] - INFO: Epoch 3607/9999, Iter 360680: Loss = 0.012976528145372868, lr = [1.25e-05] +[2024-05-27 09:00:14,706] - INFO: Epoch 3608/9999, Iter 360720: Loss = 0.013428878970444202, lr = [1.25e-05] +[2024-05-27 09:00:41,922] - INFO: Epoch 3608/9999, Iter 360760: Loss = 0.012987159192562103, lr = [1.25e-05] +[2024-05-27 09:01:10,645] - INFO: Epoch 3609/9999, Iter 360800: Loss = 0.008851248770952225, lr = [1.25e-05] +[2024-05-27 09:01:38,002] - INFO: Epoch 3609/9999, Iter 360840: Loss = 0.017245925962924957, lr = [1.25e-05] +[2024-05-27 09:02:05,230] - INFO: Epoch 3609/9999, Iter 360880: Loss = 0.007203054614365101, lr = [1.25e-05] +[2024-05-27 09:02:33,834] - INFO: Epoch 3610/9999, Iter 360920: Loss = 0.010255993343889713, lr = [1.25e-05] +[2024-05-27 09:03:01,014] - INFO: Epoch 3610/9999, Iter 360960: Loss = 0.012558060698211193, lr = [1.25e-05] +[2024-05-27 09:03:27,973] - INFO: Evaluate at epoch 3610! +[2024-05-27 09:03:32,554] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:03:32,554] - INFO: Eval PSNR (current): 38.227 (3610) SSIM (current): 0.9618 (3610) +[2024-05-27 09:03:32,554] - INFO: Evaluation over. +[2024-05-27 09:03:39,310] - INFO: Epoch 3611/9999, Iter 361000: Loss = 0.00962531752884388, lr = [1.25e-05] +[2024-05-27 09:04:06,513] - INFO: Epoch 3611/9999, Iter 361040: Loss = 0.010674817487597466, lr = [1.25e-05] +[2024-05-27 09:04:33,734] - INFO: Epoch 3611/9999, Iter 361080: Loss = 0.017149213701486588, lr = [1.25e-05] +[2024-05-27 09:05:02,428] - INFO: Epoch 3612/9999, Iter 361120: Loss = 0.010160544887185097, lr = [1.25e-05] +[2024-05-27 09:05:29,566] - INFO: Epoch 3612/9999, Iter 361160: Loss = 0.015373642556369305, lr = [1.25e-05] +[2024-05-27 09:05:58,121] - INFO: Epoch 3613/9999, Iter 361200: Loss = 0.00970663595944643, lr = [1.25e-05] +[2024-05-27 09:06:25,470] - INFO: Epoch 3613/9999, Iter 361240: Loss = 0.012174216099083424, lr = [1.25e-05] +[2024-05-27 09:06:52,657] - INFO: Epoch 3613/9999, Iter 361280: Loss = 0.011906348168849945, lr = [1.25e-05] +[2024-05-27 09:07:21,313] - INFO: Epoch 3614/9999, Iter 361320: Loss = 0.011812977492809296, lr = [1.25e-05] +[2024-05-27 09:07:48,495] - INFO: Epoch 3614/9999, Iter 361360: Loss = 0.017052704468369484, lr = [1.25e-05] +[2024-05-27 09:08:17,097] - INFO: Epoch 3615/9999, Iter 361400: Loss = 0.014275290071964264, lr = [1.25e-05] +[2024-05-27 09:08:44,406] - INFO: Epoch 3615/9999, Iter 361440: Loss = 0.00927030947059393, lr = [1.25e-05] +[2024-05-27 09:09:11,608] - INFO: Epoch 3615/9999, Iter 361480: Loss = 0.008975929580628872, lr = [1.25e-05] +[2024-05-27 09:09:24,927] - INFO: Evaluate at epoch 3615! +[2024-05-27 09:09:29,585] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:09:29,585] - INFO: Eval PSNR (current): 38.232 (3615) SSIM (current): 0.9618 (3615) +[2024-05-27 09:09:29,585] - INFO: Evaluation over. +[2024-05-27 09:09:50,132] - INFO: Epoch 3616/9999, Iter 361520: Loss = 0.011953693814575672, lr = [1.25e-05] +[2024-05-27 09:10:17,335] - INFO: Epoch 3616/9999, Iter 361560: Loss = 0.01193663477897644, lr = [1.25e-05] +[2024-05-27 09:10:46,048] - INFO: Epoch 3617/9999, Iter 361600: Loss = 0.008186422288417816, lr = [1.25e-05] +[2024-05-27 09:11:13,301] - INFO: Epoch 3617/9999, Iter 361640: Loss = 0.009462714195251465, lr = [1.25e-05] +[2024-05-27 09:11:40,508] - INFO: Epoch 3617/9999, Iter 361680: Loss = 0.009145865216851234, lr = [1.25e-05] +[2024-05-27 09:12:09,101] - INFO: Epoch 3618/9999, Iter 361720: Loss = 0.009275657124817371, lr = [1.25e-05] +[2024-05-27 09:12:36,303] - INFO: Epoch 3618/9999, Iter 361760: Loss = 0.016445374116301537, lr = [1.25e-05] +[2024-05-27 09:13:04,784] - INFO: Epoch 3619/9999, Iter 361800: Loss = 0.005743092391639948, lr = [1.25e-05] +[2024-05-27 09:13:32,118] - INFO: Epoch 3619/9999, Iter 361840: Loss = 0.006680557504296303, lr = [1.25e-05] +[2024-05-27 09:13:59,282] - INFO: Epoch 3619/9999, Iter 361880: Loss = 0.011482495814561844, lr = [1.25e-05] +[2024-05-27 09:14:27,991] - INFO: Epoch 3620/9999, Iter 361920: Loss = 0.017928993329405785, lr = [1.25e-05] +[2024-05-27 09:14:55,258] - INFO: Epoch 3620/9999, Iter 361960: Loss = 0.009400226175785065, lr = [1.25e-05] +[2024-05-27 09:15:22,084] - INFO: Evaluate at epoch 3620! +[2024-05-27 09:15:26,679] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:15:26,679] - INFO: Eval PSNR (current): 38.232 (3620) SSIM (current): 0.9617 (3620) +[2024-05-27 09:15:26,679] - INFO: Evaluation over. +[2024-05-27 09:15:33,534] - INFO: Epoch 3621/9999, Iter 362000: Loss = 0.013834885321557522, lr = [1.25e-05] +[2024-05-27 09:16:00,826] - INFO: Epoch 3621/9999, Iter 362040: Loss = 0.006376531440764666, lr = [1.25e-05] +[2024-05-27 09:16:28,086] - INFO: Epoch 3621/9999, Iter 362080: Loss = 0.019118860363960266, lr = [1.25e-05] +[2024-05-27 09:16:56,662] - INFO: Epoch 3622/9999, Iter 362120: Loss = 0.014693457633256912, lr = [1.25e-05] +[2024-05-27 09:17:23,862] - INFO: Epoch 3622/9999, Iter 362160: Loss = 0.012533772736787796, lr = [1.25e-05] +[2024-05-27 09:17:52,392] - INFO: Epoch 3623/9999, Iter 362200: Loss = 0.01789970137178898, lr = [1.25e-05] +[2024-05-27 09:18:19,710] - INFO: Epoch 3623/9999, Iter 362240: Loss = 0.011946706101298332, lr = [1.25e-05] +[2024-05-27 09:18:46,934] - INFO: Epoch 3623/9999, Iter 362280: Loss = 0.01768326573073864, lr = [1.25e-05] +[2024-05-27 09:19:15,504] - INFO: Epoch 3624/9999, Iter 362320: Loss = 0.01522807776927948, lr = [1.25e-05] +[2024-05-27 09:19:42,700] - INFO: Epoch 3624/9999, Iter 362360: Loss = 0.016268644481897354, lr = [1.25e-05] +[2024-05-27 09:20:11,137] - INFO: Epoch 3625/9999, Iter 362400: Loss = 0.010848849080502987, lr = [1.25e-05] +[2024-05-27 09:20:38,388] - INFO: Epoch 3625/9999, Iter 362440: Loss = 0.0075158169493079185, lr = [1.25e-05] +[2024-05-27 09:21:05,614] - INFO: Epoch 3625/9999, Iter 362480: Loss = 0.00820432510226965, lr = [1.25e-05] +[2024-05-27 09:21:18,894] - INFO: Evaluate at epoch 3625! +[2024-05-27 09:21:23,678] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:21:23,678] - INFO: Eval PSNR (current): 38.229 (3625) SSIM (current): 0.9617 (3625) +[2024-05-27 09:21:23,678] - INFO: Evaluation over. +[2024-05-27 09:21:44,095] - INFO: Epoch 3626/9999, Iter 362520: Loss = 0.007028723601251841, lr = [1.25e-05] +[2024-05-27 09:22:11,330] - INFO: Epoch 3626/9999, Iter 362560: Loss = 0.010229065082967281, lr = [1.25e-05] +[2024-05-27 09:22:39,894] - INFO: Epoch 3627/9999, Iter 362600: Loss = 0.020536819472908974, lr = [1.25e-05] +[2024-05-27 09:23:07,251] - INFO: Epoch 3627/9999, Iter 362640: Loss = 0.022787844762206078, lr = [1.25e-05] +[2024-05-27 09:23:34,438] - INFO: Epoch 3627/9999, Iter 362680: Loss = 0.009900392964482307, lr = [1.25e-05] +[2024-05-27 09:24:03,022] - INFO: Epoch 3628/9999, Iter 362720: Loss = 0.010788501240313053, lr = [1.25e-05] +[2024-05-27 09:24:30,219] - INFO: Epoch 3628/9999, Iter 362760: Loss = 0.011642223224043846, lr = [1.25e-05] +[2024-05-27 09:24:58,593] - INFO: Epoch 3629/9999, Iter 362800: Loss = 0.012653946876525879, lr = [1.25e-05] +[2024-05-27 09:25:25,802] - INFO: Epoch 3629/9999, Iter 362840: Loss = 0.007346200756728649, lr = [1.25e-05] +[2024-05-27 09:25:53,026] - INFO: Epoch 3629/9999, Iter 362880: Loss = 0.008033852092921734, lr = [1.25e-05] +[2024-05-27 09:26:21,727] - INFO: Epoch 3630/9999, Iter 362920: Loss = 0.006839090026915073, lr = [1.25e-05] +[2024-05-27 09:26:48,887] - INFO: Epoch 3630/9999, Iter 362960: Loss = 0.009499982930719852, lr = [1.25e-05] +[2024-05-27 09:27:15,775] - INFO: Evaluate at epoch 3630! +[2024-05-27 09:27:20,507] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:27:20,507] - INFO: Eval PSNR (current): 38.239 (3630) SSIM (current): 0.9618 (3630) +[2024-05-27 09:27:20,507] - INFO: Evaluation over. +[2024-05-27 09:27:27,539] - INFO: Epoch 3631/9999, Iter 363000: Loss = 0.004377307370305061, lr = [1.25e-05] +[2024-05-27 09:27:54,793] - INFO: Epoch 3631/9999, Iter 363040: Loss = 0.010328913107514381, lr = [1.25e-05] +[2024-05-27 09:28:21,986] - INFO: Epoch 3631/9999, Iter 363080: Loss = 0.005592895206063986, lr = [1.25e-05] +[2024-05-27 09:28:50,710] - INFO: Epoch 3632/9999, Iter 363120: Loss = 0.011127433739602566, lr = [1.25e-05] +[2024-05-27 09:29:17,924] - INFO: Epoch 3632/9999, Iter 363160: Loss = 0.007222720887511969, lr = [1.25e-05] +[2024-05-27 09:29:46,568] - INFO: Epoch 3633/9999, Iter 363200: Loss = 0.015015295706689358, lr = [1.25e-05] +[2024-05-27 09:30:13,838] - INFO: Epoch 3633/9999, Iter 363240: Loss = 0.011234425939619541, lr = [1.25e-05] +[2024-05-27 09:30:41,058] - INFO: Epoch 3633/9999, Iter 363280: Loss = 0.011385478079319, lr = [1.25e-05] +[2024-05-27 09:31:09,805] - INFO: Epoch 3634/9999, Iter 363320: Loss = 0.008256904780864716, lr = [1.25e-05] +[2024-05-27 09:31:37,022] - INFO: Epoch 3634/9999, Iter 363360: Loss = 0.01089510414749384, lr = [1.25e-05] +[2024-05-27 09:32:05,647] - INFO: Epoch 3635/9999, Iter 363400: Loss = 0.014989304356276989, lr = [1.25e-05] +[2024-05-27 09:32:32,966] - INFO: Epoch 3635/9999, Iter 363440: Loss = 0.020012008026242256, lr = [1.25e-05] +[2024-05-27 09:33:00,162] - INFO: Epoch 3635/9999, Iter 363480: Loss = 0.010721496306359768, lr = [1.25e-05] +[2024-05-27 09:33:13,469] - INFO: Evaluate at epoch 3635! +[2024-05-27 09:33:18,120] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:33:18,120] - INFO: Eval PSNR (current): 38.251 (3635) SSIM (current): 0.9618 (3635) +[2024-05-27 09:33:18,120] - INFO: Evaluation over. +[2024-05-27 09:33:38,603] - INFO: Epoch 3636/9999, Iter 363520: Loss = 0.012296835891902447, lr = [1.25e-05] +[2024-05-27 09:34:05,812] - INFO: Epoch 3636/9999, Iter 363560: Loss = 0.009147166274487972, lr = [1.25e-05] +[2024-05-27 09:34:34,450] - INFO: Epoch 3637/9999, Iter 363600: Loss = 0.010270432569086552, lr = [1.25e-05] +[2024-05-27 09:35:01,734] - INFO: Epoch 3637/9999, Iter 363640: Loss = 0.009085698053240776, lr = [1.25e-05] +[2024-05-27 09:35:28,998] - INFO: Epoch 3637/9999, Iter 363680: Loss = 0.007038208190351725, lr = [1.25e-05] +[2024-05-27 09:35:57,566] - INFO: Epoch 3638/9999, Iter 363720: Loss = 0.015027637593448162, lr = [1.25e-05] +[2024-05-27 09:36:24,739] - INFO: Epoch 3638/9999, Iter 363760: Loss = 0.010448165237903595, lr = [1.25e-05] +[2024-05-27 09:36:53,322] - INFO: Epoch 3639/9999, Iter 363800: Loss = 0.010019431822001934, lr = [1.25e-05]