|
[01:32:30] INFO - Epoch 1/50, Iter 0: Loss = 1.0565705299377441, lr = 0.0001 |
|
[01:33:06] INFO - Epoch 1/50, Iter 100: Loss = 0.052893124520778656, lr = 0.0001 |
|
[01:33:43] INFO - Epoch 1/50, Iter 200: Loss = 0.06410080194473267, lr = 0.0001 |
|
[01:34:20] INFO - Epoch 1/50, Iter 300: Loss = 0.036012835800647736, lr = 0.0001 |
|
[01:34:57] INFO - Epoch 1/50, Iter 400: Loss = 0.04257039353251457, lr = 0.0001 |
|
[01:35:35] INFO - Epoch 1/50, Iter 500: Loss = 0.04468406364321709, lr = 0.0001 |
|
[01:36:12] INFO - Epoch 1/50, Iter 600: Loss = 0.031456008553504944, lr = 0.0001 |
|
[01:36:49] INFO - Epoch 1/50, Iter 700: Loss = 0.03800628334283829, lr = 0.0001 |
|
[01:37:26] INFO - Epoch 1/50, Iter 800: Loss = 0.05088917911052704, lr = 0.0001 |
|
[01:38:04] INFO - Epoch 1/50, Iter 900: Loss = 0.04832298308610916, lr = 0.0001 |
|
[01:39:47] INFO - Epoch 1/50, Iter 1000: Loss = 0.021001430228352547, lr = 0.0001 |
|
[01:40:23] INFO - Epoch 1/50, Iter 1100: Loss = 0.027549631893634796, lr = 0.0001 |
|
[01:41:01] INFO - Epoch 1/50, Iter 1200: Loss = 0.026023169979453087, lr = 0.0001 |
|
[01:41:39] INFO - Epoch 1/50, Iter 1300: Loss = 0.019382692873477936, lr = 0.0001 |
|
[01:42:17] INFO - Epoch 1/50, Iter 1400: Loss = 0.018007593229413033, lr = 0.0001 |
|
[01:42:54] INFO - Epoch 1/50, Iter 1500: Loss = 0.029549293220043182, lr = 0.0001 |
|
[01:43:31] INFO - Epoch 1/50, Iter 1600: Loss = 0.033689916133880615, lr = 0.0001 |
|
[01:44:09] INFO - Epoch 1/50, Iter 1700: Loss = 0.027298524975776672, lr = 0.0001 |
|
[01:44:46] INFO - Epoch 1/50, Iter 1800: Loss = 0.035250209271907806, lr = 0.0001 |
|
[01:45:24] INFO - Epoch 2/50, Iter 1900: Loss = 0.03265728801488876, lr = 0.0001 |
|
[01:47:08] INFO - Epoch 2/50, Iter 2000: Loss = 0.017500419169664383, lr = 0.0001 |
|
[01:47:43] INFO - Epoch 2/50, Iter 2100: Loss = 0.022061176598072052, lr = 0.0001 |
|
[01:48:20] INFO - Epoch 2/50, Iter 2200: Loss = 0.031774356961250305, lr = 0.0001 |
|
[01:48:57] INFO - Epoch 2/50, Iter 2300: Loss = 0.027994144707918167, lr = 0.0001 |
|
[01:49:34] INFO - Epoch 2/50, Iter 2400: Loss = 0.021347511559724808, lr = 0.0001 |
|
[01:50:12] INFO - Epoch 2/50, Iter 2500: Loss = 0.03212534263730049, lr = 0.0001 |
|
[01:50:49] INFO - Epoch 2/50, Iter 2600: Loss = 0.03436075150966644, lr = 0.0001 |
|
[01:51:26] INFO - Epoch 2/50, Iter 2700: Loss = 0.039760299026966095, lr = 0.0001 |
|
[01:52:03] INFO - Epoch 2/50, Iter 2800: Loss = 0.018602240830659866, lr = 0.0001 |
|
[01:52:41] INFO - Epoch 2/50, Iter 2900: Loss = 0.017089033499360085, lr = 0.0001 |
|
[01:54:27] INFO - Epoch 2/50, Iter 3000: Loss = 0.01724972389638424, lr = 0.0001 |
|
[01:55:02] INFO - Epoch 2/50, Iter 3100: Loss = 0.02486235462129116, lr = 0.0001 |
|
[01:55:37] INFO - Epoch 2/50, Iter 3200: Loss = 0.022042328491806984, lr = 0.0001 |
|
[01:56:15] INFO - Epoch 2/50, Iter 3300: Loss = 0.026623308658599854, lr = 0.0001 |
|
[01:56:52] INFO - Epoch 2/50, Iter 3400: Loss = 0.02405683323740959, lr = 0.0001 |
|
[01:57:30] INFO - Epoch 2/50, Iter 3500: Loss = 0.018972214311361313, lr = 0.0001 |
|
[01:58:07] INFO - Epoch 2/50, Iter 3600: Loss = 0.021761640906333923, lr = 0.0001 |
|
[01:58:44] INFO - Epoch 2/50, Iter 3700: Loss = 0.023115914314985275, lr = 0.0001 |
|
[01:59:23] INFO - Epoch 3/50, Iter 3800: Loss = 0.022612307220697403, lr = 0.0001 |
|
[02:00:01] INFO - Epoch 3/50, Iter 3900: Loss = 0.017524931579828262, lr = 0.0001 |
|
[02:01:47] INFO - Epoch 3/50, Iter 4000: Loss = 0.01466086134314537, lr = 0.0001 |
|
[02:02:22] INFO - Epoch 3/50, Iter 4100: Loss = 0.031845346093177795, lr = 0.0001 |
|
[02:02:57] INFO - Epoch 3/50, Iter 4200: Loss = 0.0237705297768116, lr = 0.0001 |
|
[02:03:33] INFO - Epoch 3/50, Iter 4300: Loss = 0.0320965051651001, lr = 0.0001 |
|
[02:04:11] INFO - Epoch 3/50, Iter 4400: Loss = 0.023783233016729355, lr = 0.0001 |
|
[02:04:48] INFO - Epoch 3/50, Iter 4500: Loss = 0.022754667326807976, lr = 0.0001 |
|
[02:05:25] INFO - Epoch 3/50, Iter 4600: Loss = 0.030830159783363342, lr = 0.0001 |
|
[02:06:03] INFO - Epoch 3/50, Iter 4700: Loss = 0.025824744254350662, lr = 0.0001 |
|
[02:06:40] INFO - Epoch 3/50, Iter 4800: Loss = 0.019503239542245865, lr = 0.0001 |
|
[02:07:18] INFO - Epoch 3/50, Iter 4900: Loss = 0.021452341228723526, lr = 0.0001 |
|
[02:09:05] INFO - Epoch 3/50, Iter 5000: Loss = 0.026259608566761017, lr = 0.0001 |
|
[02:09:42] INFO - Epoch 3/50, Iter 5100: Loss = 0.023281030356884003, lr = 0.0001 |
|
[02:10:17] INFO - Epoch 3/50, Iter 5200: Loss = 0.020111314952373505, lr = 0.0001 |
|
[02:10:52] INFO - Epoch 3/50, Iter 5300: Loss = 0.019614871591329575, lr = 0.0001 |
|
[02:11:29] INFO - Epoch 3/50, Iter 5400: Loss = 0.014699136838316917, lr = 0.0001 |
|
[02:12:06] INFO - Epoch 3/50, Iter 5500: Loss = 0.021856755018234253, lr = 0.0001 |
|
[02:12:44] INFO - Epoch 3/50, Iter 5600: Loss = 0.023845821619033813, lr = 0.0001 |
|
[02:13:22] INFO - Epoch 4/50, Iter 5700: Loss = 0.03385388106107712, lr = 0.0001 |
|
[02:14:00] INFO - Epoch 4/50, Iter 5800: Loss = 0.03092341311275959, lr = 0.0001 |
|
[02:14:38] INFO - Epoch 4/50, Iter 5900: Loss = 0.02334553748369217, lr = 0.0001 |
|
[02:16:24] INFO - Epoch 4/50, Iter 6000: Loss = 0.042254190891981125, lr = 0.0001 |
|
[02:17:01] INFO - Epoch 4/50, Iter 6100: Loss = 0.026709988713264465, lr = 0.0001 |
|
[02:17:37] INFO - Epoch 4/50, Iter 6200: Loss = 0.026842636987566948, lr = 0.0001 |
|
[02:18:12] INFO - Epoch 4/50, Iter 6300: Loss = 0.02040724828839302, lr = 0.0001 |
|
[02:18:47] INFO - Epoch 4/50, Iter 6400: Loss = 0.03485984355211258, lr = 0.0001 |
|
[02:19:24] INFO - Epoch 4/50, Iter 6500: Loss = 0.01901041902601719, lr = 0.0001 |
|
[02:20:02] INFO - Epoch 4/50, Iter 6600: Loss = 0.0252228956669569, lr = 0.0001 |
|
[02:20:39] INFO - Epoch 4/50, Iter 6700: Loss = 0.022261066362261772, lr = 0.0001 |
|
[02:21:17] INFO - Epoch 4/50, Iter 6800: Loss = 0.024207420647144318, lr = 0.0001 |
|
[02:21:54] INFO - Epoch 4/50, Iter 6900: Loss = 0.02730383910238743, lr = 0.0001 |
|
[02:23:42] INFO - Epoch 4/50, Iter 7000: Loss = 0.030614979565143585, lr = 0.0001 |
|
[02:24:19] INFO - Epoch 4/50, Iter 7100: Loss = 0.009843399748206139, lr = 0.0001 |
|
[02:24:56] INFO - Epoch 4/50, Iter 7200: Loss = 0.030504770576953888, lr = 0.0001 |
|
[02:25:31] INFO - Epoch 4/50, Iter 7300: Loss = 0.019922511652112007, lr = 0.0001 |
|
[02:26:06] INFO - Epoch 4/50, Iter 7400: Loss = 0.017346005886793137, lr = 0.0001 |
|
[02:26:43] INFO - Epoch 5/50, Iter 7500: Loss = 0.04261239618062973, lr = 0.0001 |
|
[02:27:21] INFO - Epoch 5/50, Iter 7600: Loss = 0.01848176121711731, lr = 0.0001 |
|
[02:27:59] INFO - Epoch 5/50, Iter 7700: Loss = 0.02630079910159111, lr = 0.0001 |
|
[02:28:38] INFO - Epoch 5/50, Iter 7800: Loss = 0.017152022570371628, lr = 0.0001 |
|
[02:29:16] INFO - Epoch 5/50, Iter 7900: Loss = 0.019739195704460144, lr = 0.0001 |
|
[02:31:02] INFO - Epoch 5/50, Iter 8000: Loss = 0.035217173397541046, lr = 0.0001 |
|
[02:31:38] INFO - Epoch 5/50, Iter 8100: Loss = 0.024997148662805557, lr = 0.0001 |
|
[02:32:15] INFO - Epoch 5/50, Iter 8200: Loss = 0.01869952492415905, lr = 0.0001 |
|
[02:32:51] INFO - Epoch 5/50, Iter 8300: Loss = 0.022771766409277916, lr = 0.0001 |
|
[02:33:26] INFO - Epoch 5/50, Iter 8400: Loss = 0.021768197417259216, lr = 0.0001 |
|
[02:34:01] INFO - Epoch 5/50, Iter 8500: Loss = 0.02135184407234192, lr = 0.0001 |
|
[02:34:38] INFO - Epoch 5/50, Iter 8600: Loss = 0.025887122377753258, lr = 0.0001 |
|
[02:35:16] INFO - Epoch 5/50, Iter 8700: Loss = 0.020226851105690002, lr = 0.0001 |
|
[02:35:53] INFO - Epoch 5/50, Iter 8800: Loss = 0.0163625106215477, lr = 0.0001 |
|
[02:36:31] INFO - Epoch 5/50, Iter 8900: Loss = 0.033197011798620224, lr = 0.0001 |
|
[02:38:18] INFO - Epoch 5/50, Iter 9000: Loss = 0.018169889226555824, lr = 0.0001 |
|
[02:38:56] INFO - Epoch 5/50, Iter 9100: Loss = 0.01835501380264759, lr = 0.0001 |
|
[02:39:33] INFO - Epoch 5/50, Iter 9200: Loss = 0.018355708569288254, lr = 0.0001 |
|
[02:40:11] INFO - Epoch 5/50, Iter 9300: Loss = 0.02957603707909584, lr = 0.0001 |
|
[02:40:47] INFO - Epoch 6/50, Iter 9400: Loss = 0.02988416701555252, lr = 0.0001 |
|
[02:41:22] INFO - Epoch 6/50, Iter 9500: Loss = 0.029050955548882484, lr = 0.0001 |
|
[02:41:59] INFO - Epoch 6/50, Iter 9600: Loss = 0.029915111139416695, lr = 0.0001 |
|
[02:42:37] INFO - Epoch 6/50, Iter 9700: Loss = 0.032014522701501846, lr = 0.0001 |
|
[02:43:15] INFO - Epoch 6/50, Iter 9800: Loss = 0.02710639499127865, lr = 0.0001 |
|
[02:43:53] INFO - Epoch 6/50, Iter 9900: Loss = 0.02623252011835575, lr = 0.0001 |
|
[02:45:39] INFO - Epoch 6/50, Iter 10000: Loss = 0.018064428120851517, lr = 0.0001 |
|
[02:46:16] INFO - Epoch 6/50, Iter 10100: Loss = 0.017915505915880203, lr = 0.0001 |
|
[02:46:52] INFO - Epoch 6/50, Iter 10200: Loss = 0.018055936321616173, lr = 0.0001 |
|
[02:47:29] INFO - Epoch 6/50, Iter 10300: Loss = 0.02242400124669075, lr = 0.0001 |
|
[02:48:06] INFO - Epoch 6/50, Iter 10400: Loss = 0.016980063170194626, lr = 0.0001 |
|
[02:48:41] INFO - Epoch 6/50, Iter 10500: Loss = 0.028786756098270416, lr = 0.0001 |
|
[02:49:15] INFO - Epoch 6/50, Iter 10600: Loss = 0.0259169340133667, lr = 0.0001 |
|
[02:49:52] INFO - Epoch 6/50, Iter 10700: Loss = 0.02411068230867386, lr = 0.0001 |
|
[02:50:30] INFO - Epoch 6/50, Iter 10800: Loss = 0.028709815815091133, lr = 0.0001 |
|
[02:51:07] INFO - Epoch 6/50, Iter 10900: Loss = 0.023950304836034775, lr = 0.0001 |
|
[02:52:55] INFO - Epoch 6/50, Iter 11000: Loss = 0.01635728031396866, lr = 0.0001 |
|
[02:53:32] INFO - Epoch 6/50, Iter 11100: Loss = 0.021019836887717247, lr = 0.0001 |
|
[02:54:09] INFO - Epoch 6/50, Iter 11200: Loss = 0.03072471171617508, lr = 0.0001 |
|
[02:54:48] INFO - Epoch 7/50, Iter 11300: Loss = 0.017645131796598434, lr = 0.0001 |
|
[02:55:26] INFO - Epoch 7/50, Iter 11400: Loss = 0.03241223841905594, lr = 0.0001 |
|
[02:56:02] INFO - Epoch 7/50, Iter 11500: Loss = 0.023425636813044548, lr = 0.0001 |
|
[02:56:38] INFO - Epoch 7/50, Iter 11600: Loss = 0.028445253148674965, lr = 0.0001 |
|
[02:57:14] INFO - Epoch 7/50, Iter 11700: Loss = 0.021178875118494034, lr = 0.0001 |
|
[02:57:52] INFO - Epoch 7/50, Iter 11800: Loss = 0.025874968618154526, lr = 0.0001 |
|
[02:58:30] INFO - Epoch 7/50, Iter 11900: Loss = 0.02024815045297146, lr = 0.0001 |
|
[03:00:16] INFO - Epoch 7/50, Iter 12000: Loss = 0.017120303586125374, lr = 0.0001 |
|
[03:00:53] INFO - Epoch 7/50, Iter 12100: Loss = 0.029735827818512917, lr = 0.0001 |
|
[03:01:29] INFO - Epoch 7/50, Iter 12200: Loss = 0.035674042999744415, lr = 0.0001 |
|
[03:02:06] INFO - Epoch 7/50, Iter 12300: Loss = 0.036703627556562424, lr = 0.0001 |
|
[03:02:43] INFO - Epoch 7/50, Iter 12400: Loss = 0.02421719767153263, lr = 0.0001 |
|
[03:03:20] INFO - Epoch 7/50, Iter 12500: Loss = 0.018868938088417053, lr = 0.0001 |
|
[03:03:55] INFO - Epoch 7/50, Iter 12600: Loss = 0.02622353658080101, lr = 0.0001 |
|
[03:04:30] INFO - Epoch 7/50, Iter 12700: Loss = 0.01901184767484665, lr = 0.0001 |
|
[03:05:06] INFO - Epoch 7/50, Iter 12800: Loss = 0.020489446818828583, lr = 0.0001 |
|
[03:05:44] INFO - Epoch 7/50, Iter 12900: Loss = 0.032885171473026276, lr = 0.0001 |
|
[03:07:31] INFO - Epoch 7/50, Iter 13000: Loss = 0.022485921159386635, lr = 0.0001 |
|
[03:08:08] INFO - Epoch 7/50, Iter 13100: Loss = 0.01670442707836628, lr = 0.0001 |
|
[03:08:47] INFO - Epoch 8/50, Iter 13200: Loss = 0.02743910253047943, lr = 0.0001 |
|
[03:09:25] INFO - Epoch 8/50, Iter 13300: Loss = 0.018927330151200294, lr = 0.0001 |
|
[03:10:03] INFO - Epoch 8/50, Iter 13400: Loss = 0.02689310908317566, lr = 0.0001 |
|
[03:10:41] INFO - Epoch 8/50, Iter 13500: Loss = 0.0141057800501585, lr = 0.0001 |
|
[03:11:18] INFO - Epoch 8/50, Iter 13600: Loss = 0.028984226286411285, lr = 0.0001 |
|
[03:11:53] INFO - Epoch 8/50, Iter 13700: Loss = 0.029749657958745956, lr = 0.0001 |
|
[03:12:29] INFO - Epoch 8/50, Iter 13800: Loss = 0.015233050100505352, lr = 0.0001 |
|
[03:13:07] INFO - Epoch 8/50, Iter 13900: Loss = 0.0163307785987854, lr = 0.0001 |
|
[03:14:53] INFO - Epoch 8/50, Iter 14000: Loss = 0.02872077375650406, lr = 0.0001 |
|
[03:15:30] INFO - Epoch 8/50, Iter 14100: Loss = 0.02807019278407097, lr = 0.0001 |
|
[03:16:07] INFO - Epoch 8/50, Iter 14200: Loss = 0.03054160065948963, lr = 0.0001 |
|
[03:16:43] INFO - Epoch 8/50, Iter 14300: Loss = 0.02313782460987568, lr = 0.0001 |
|
[03:17:20] INFO - Epoch 8/50, Iter 14400: Loss = 0.025084566324949265, lr = 0.0001 |
|
[03:17:57] INFO - Epoch 8/50, Iter 14500: Loss = 0.02139408141374588, lr = 0.0001 |
|
[03:18:34] INFO - Epoch 8/50, Iter 14600: Loss = 0.021309100091457367, lr = 0.0001 |
|
[03:19:10] INFO - Epoch 8/50, Iter 14700: Loss = 0.021668197587132454, lr = 0.0001 |
|
[03:19:44] INFO - Epoch 8/50, Iter 14800: Loss = 0.027393829077482224, lr = 0.0001 |
|
[03:20:20] INFO - Epoch 8/50, Iter 14900: Loss = 0.021895278245210648, lr = 0.0001 |
|
[03:22:08] INFO - Epoch 9/50, Iter 15000: Loss = 0.021187055855989456, lr = 0.0001 |
|
[03:22:46] INFO - Epoch 9/50, Iter 15100: Loss = 0.02533610723912716, lr = 0.0001 |
|
[03:23:24] INFO - Epoch 9/50, Iter 15200: Loss = 0.013163303956389427, lr = 0.0001 |
|
[03:24:02] INFO - Epoch 9/50, Iter 15300: Loss = 0.0278776828199625, lr = 0.0001 |
|
[03:24:40] INFO - Epoch 9/50, Iter 15400: Loss = 0.02406580187380314, lr = 0.0001 |
|
[03:25:19] INFO - Epoch 9/50, Iter 15500: Loss = 0.03571601212024689, lr = 0.0001 |
|
[03:25:57] INFO - Epoch 9/50, Iter 15600: Loss = 0.0257314071059227, lr = 0.0001 |
|
[03:26:34] INFO - Epoch 9/50, Iter 15700: Loss = 0.01789958029985428, lr = 0.0001 |
|
[03:27:10] INFO - Epoch 9/50, Iter 15800: Loss = 0.022831305861473083, lr = 0.0001 |
|
[03:27:44] INFO - Epoch 9/50, Iter 15900: Loss = 0.02363549917936325, lr = 0.0001 |
|
[03:29:31] INFO - Epoch 9/50, Iter 16000: Loss = 0.01978084072470665, lr = 0.0001 |
|
[03:30:08] INFO - Epoch 9/50, Iter 16100: Loss = 0.022113677114248276, lr = 0.0001 |
|
[03:30:44] INFO - Epoch 9/50, Iter 16200: Loss = 0.024963347241282463, lr = 0.0001 |
|
[03:31:21] INFO - Epoch 9/50, Iter 16300: Loss = 0.013087751343846321, lr = 0.0001 |
|
[03:31:58] INFO - Epoch 9/50, Iter 16400: Loss = 0.020678795874118805, lr = 0.0001 |
|
[03:32:35] INFO - Epoch 9/50, Iter 16500: Loss = 0.020716585218906403, lr = 0.0001 |
|
[03:33:12] INFO - Epoch 9/50, Iter 16600: Loss = 0.015427518635988235, lr = 0.0001 |
|
[03:33:48] INFO - Epoch 9/50, Iter 16700: Loss = 0.021022498607635498, lr = 0.0001 |
|
[03:34:25] INFO - Epoch 9/50, Iter 16800: Loss = 0.01959395967423916, lr = 0.0001 |
|
[03:35:00] INFO - Epoch 10/50, Iter 16900: Loss = 0.032150253653526306, lr = 0.0001 |
|
[03:36:46] INFO - Epoch 10/50, Iter 17000: Loss = 0.01854921132326126, lr = 0.0001 |
|
[03:37:23] INFO - Epoch 10/50, Iter 17100: Loss = 0.02160738781094551, lr = 0.0001 |
|
[03:38:01] INFO - Epoch 10/50, Iter 17200: Loss = 0.015743758529424667, lr = 0.0001 |
|
[03:38:38] INFO - Epoch 10/50, Iter 17300: Loss = 0.026099730283021927, lr = 0.0001 |
|
[03:39:15] INFO - Epoch 10/50, Iter 17400: Loss = 0.033034007996320724, lr = 0.0001 |
|
[03:39:53] INFO - Epoch 10/50, Iter 17500: Loss = 0.01821458525955677, lr = 0.0001 |
|
[03:40:30] INFO - Epoch 10/50, Iter 17600: Loss = 0.022443238645792007, lr = 0.0001 |
|
[03:41:07] INFO - Epoch 10/50, Iter 17700: Loss = 0.01728179305791855, lr = 0.0001 |
|
[03:41:44] INFO - Epoch 10/50, Iter 17800: Loss = 0.031235814094543457, lr = 0.0001 |
|
[03:42:19] INFO - Epoch 10/50, Iter 17900: Loss = 0.034977469593286514, lr = 0.0001 |
|
[03:44:03] INFO - Epoch 10/50, Iter 18000: Loss = 0.02534203603863716, lr = 0.0001 |
|
[03:44:40] INFO - Epoch 10/50, Iter 18100: Loss = 0.022452227771282196, lr = 0.0001 |
|
[03:45:18] INFO - Epoch 10/50, Iter 18200: Loss = 0.017300918698310852, lr = 0.0001 |
|
[03:45:55] INFO - Epoch 10/50, Iter 18300: Loss = 0.027169708162546158, lr = 0.0001 |
|
[03:46:33] INFO - Epoch 10/50, Iter 18400: Loss = 0.015911249443888664, lr = 0.0001 |
|
[03:47:10] INFO - Epoch 10/50, Iter 18500: Loss = 0.01670893095433712, lr = 0.0001 |
|
[03:47:48] INFO - Epoch 10/50, Iter 18600: Loss = 0.022836333140730858, lr = 0.0001 |
|
[03:48:25] INFO - Epoch 10/50, Iter 18700: Loss = 0.019568461924791336, lr = 0.0001 |
|
[03:49:03] INFO - Epoch 11/50, Iter 18800: Loss = 0.020943816751241684, lr = 0.0001 |
|
[03:49:41] INFO - Epoch 11/50, Iter 18900: Loss = 0.028032630681991577, lr = 0.0001 |
|
[03:51:24] INFO - Epoch 11/50, Iter 19000: Loss = 0.015449410304427147, lr = 0.0001 |
|
[03:52:02] INFO - Epoch 11/50, Iter 19100: Loss = 0.028382163494825363, lr = 0.0001 |
|
[03:52:39] INFO - Epoch 11/50, Iter 19200: Loss = 0.03230266273021698, lr = 0.0001 |
|
[03:53:16] INFO - Epoch 11/50, Iter 19300: Loss = 0.021432269364595413, lr = 0.0001 |
|
[03:53:54] INFO - Epoch 11/50, Iter 19400: Loss = 0.021147528663277626, lr = 0.0001 |
|
[03:54:31] INFO - Epoch 11/50, Iter 19500: Loss = 0.014547022059559822, lr = 0.0001 |
|
[03:55:09] INFO - Epoch 11/50, Iter 19600: Loss = 0.030874505639076233, lr = 0.0001 |
|
[03:55:45] INFO - Epoch 11/50, Iter 19700: Loss = 0.020982904359698296, lr = 0.0001 |
|
[03:56:22] INFO - Epoch 11/50, Iter 19800: Loss = 0.023455671966075897, lr = 0.0001 |
|
[03:56:59] INFO - Epoch 11/50, Iter 19900: Loss = 0.024504322558641434, lr = 0.0001 |
|
[03:58:41] INFO - Epoch 11/50, Iter 20000: Loss = 0.018932566046714783, lr = 0.0001 |
|
[03:59:18] INFO - Epoch 11/50, Iter 20100: Loss = 0.02632874995470047, lr = 0.0001 |
|
[03:59:56] INFO - Epoch 11/50, Iter 20200: Loss = 0.029866697266697884, lr = 0.0001 |
|
[04:00:33] INFO - Epoch 11/50, Iter 20300: Loss = 0.031086044386029243, lr = 0.0001 |
|
[04:01:10] INFO - Epoch 11/50, Iter 20400: Loss = 0.02815106511116028, lr = 0.0001 |
|
[04:01:48] INFO - Epoch 11/50, Iter 20500: Loss = 0.02130046673119068, lr = 0.0001 |
|
[04:02:25] INFO - Epoch 11/50, Iter 20600: Loss = 0.023784568533301353, lr = 0.0001 |
|
[04:03:04] INFO - Epoch 12/50, Iter 20700: Loss = 0.026831526309251785, lr = 0.0001 |
|
[04:03:42] INFO - Epoch 12/50, Iter 20800: Loss = 0.022841420024633408, lr = 0.0001 |
|
[04:04:20] INFO - Epoch 12/50, Iter 20900: Loss = 0.017967013642191887, lr = 0.0001 |
|
[04:06:03] INFO - Epoch 12/50, Iter 21000: Loss = 0.023366201668977737, lr = 0.0001 |
|
[04:06:40] INFO - Epoch 12/50, Iter 21100: Loss = 0.011247624643146992, lr = 0.0001 |
|
[04:07:18] INFO - Epoch 12/50, Iter 21200: Loss = 0.017998967319726944, lr = 0.0001 |
|
[04:07:55] INFO - Epoch 12/50, Iter 21300: Loss = 0.01666315086185932, lr = 0.0001 |
|
[04:08:32] INFO - Epoch 12/50, Iter 21400: Loss = 0.027271557599306107, lr = 0.0001 |
|
[04:09:10] INFO - Epoch 12/50, Iter 21500: Loss = 0.04178820922970772, lr = 0.0001 |
|
[04:09:47] INFO - Epoch 12/50, Iter 21600: Loss = 0.022403031587600708, lr = 0.0001 |
|
[04:10:24] INFO - Epoch 12/50, Iter 21700: Loss = 0.018806155771017075, lr = 0.0001 |
|
[04:11:01] INFO - Epoch 12/50, Iter 21800: Loss = 0.02545701339840889, lr = 0.0001 |
|
[04:11:37] INFO - Epoch 12/50, Iter 21900: Loss = 0.01953921467065811, lr = 0.0001 |
|
[04:13:20] INFO - Epoch 12/50, Iter 22000: Loss = 0.01733117178082466, lr = 0.0001 |
|
[04:13:56] INFO - Epoch 12/50, Iter 22100: Loss = 0.025370147079229355, lr = 0.0001 |
|
[04:14:33] INFO - Epoch 12/50, Iter 22200: Loss = 0.018694361671805382, lr = 0.0001 |
|
[04:15:11] INFO - Epoch 12/50, Iter 22300: Loss = 0.02715042605996132, lr = 0.0001 |
|
[04:15:48] INFO - Epoch 12/50, Iter 22400: Loss = 0.025544647127389908, lr = 0.0001 |
|
[04:16:26] INFO - Epoch 13/50, Iter 22500: Loss = 0.019888730719685555, lr = 0.0001 |
|
[04:17:04] INFO - Epoch 13/50, Iter 22600: Loss = 0.021217184141278267, lr = 0.0001 |
|
[04:17:42] INFO - Epoch 13/50, Iter 22700: Loss = 0.022269055247306824, lr = 0.0001 |
|
[04:18:20] INFO - Epoch 13/50, Iter 22800: Loss = 0.01928224414587021, lr = 0.0001 |
|
[04:18:58] INFO - Epoch 13/50, Iter 22900: Loss = 0.015648994594812393, lr = 0.0001 |
|
[04:20:44] INFO - Epoch 13/50, Iter 23000: Loss = 0.017691921442747116, lr = 0.0001 |
|
[04:21:19] INFO - Epoch 13/50, Iter 23100: Loss = 0.017905689775943756, lr = 0.0001 |
|
[04:21:56] INFO - Epoch 13/50, Iter 23200: Loss = 0.02446005865931511, lr = 0.0001 |
|
[04:22:33] INFO - Epoch 13/50, Iter 23300: Loss = 0.012783464044332504, lr = 0.0001 |
|
[04:23:11] INFO - Epoch 13/50, Iter 23400: Loss = 0.021168000996112823, lr = 0.0001 |
|
[04:23:48] INFO - Epoch 13/50, Iter 23500: Loss = 0.021574562415480614, lr = 0.0001 |
|
[04:24:25] INFO - Epoch 13/50, Iter 23600: Loss = 0.014954578131437302, lr = 0.0001 |
|
[04:25:02] INFO - Epoch 13/50, Iter 23700: Loss = 0.024804923683404922, lr = 0.0001 |
|
[04:25:39] INFO - Epoch 13/50, Iter 23800: Loss = 0.022417966276407242, lr = 0.0001 |
|
[04:26:15] INFO - Epoch 13/50, Iter 23900: Loss = 0.024885393679142, lr = 0.0001 |
|
[04:28:01] INFO - Epoch 13/50, Iter 24000: Loss = 0.01513182558119297, lr = 0.0001 |
|
[04:28:35] INFO - Epoch 13/50, Iter 24100: Loss = 0.03394199162721634, lr = 0.0001 |
|
[04:29:10] INFO - Epoch 13/50, Iter 24200: Loss = 0.01728047989308834, lr = 0.0001 |
|
[04:29:48] INFO - Epoch 13/50, Iter 24300: Loss = 0.021687734872102737, lr = 0.0001 |
|
[04:30:26] INFO - Epoch 14/50, Iter 24400: Loss = 0.021854422986507416, lr = 0.0001 |
|
[04:31:04] INFO - Epoch 14/50, Iter 24500: Loss = 0.01786675862967968, lr = 0.0001 |
|
[04:31:42] INFO - Epoch 14/50, Iter 24600: Loss = 0.013988310471177101, lr = 0.0001 |
|
[04:32:20] INFO - Epoch 14/50, Iter 24700: Loss = 0.027566110715270042, lr = 0.0001 |
|
[04:32:58] INFO - Epoch 14/50, Iter 24800: Loss = 0.026513565331697464, lr = 0.0001 |
|
[04:33:36] INFO - Epoch 14/50, Iter 24900: Loss = 0.03264237195253372, lr = 0.0001 |
|
[04:35:25] INFO - Epoch 14/50, Iter 25000: Loss = 0.01717931032180786, lr = 0.0001 |
|
[04:36:00] INFO - Epoch 14/50, Iter 25100: Loss = 0.023670285940170288, lr = 0.0001 |
|
[04:36:35] INFO - Epoch 14/50, Iter 25200: Loss = 0.024744831025600433, lr = 0.0001 |
|
[04:37:11] INFO - Epoch 14/50, Iter 25300: Loss = 0.024575743824243546, lr = 0.0001 |
|
[04:37:49] INFO - Epoch 14/50, Iter 25400: Loss = 0.026712141931056976, lr = 0.0001 |
|
[04:38:26] INFO - Epoch 14/50, Iter 25500: Loss = 0.024456407874822617, lr = 0.0001 |
|
[04:39:04] INFO - Epoch 14/50, Iter 25600: Loss = 0.02141718566417694, lr = 0.0001 |
|
[04:39:40] INFO - Epoch 14/50, Iter 25700: Loss = 0.029445897787809372, lr = 0.0001 |
|
[04:40:17] INFO - Epoch 14/50, Iter 25800: Loss = 0.02473919466137886, lr = 0.0001 |
|
[04:40:54] INFO - Epoch 14/50, Iter 25900: Loss = 0.0274130180478096, lr = 0.0001 |
|
[04:42:39] INFO - Epoch 14/50, Iter 26000: Loss = 0.018764521926641464, lr = 0.0001 |
|
[04:43:16] INFO - Epoch 14/50, Iter 26100: Loss = 0.02663726732134819, lr = 0.0001 |
|
[04:43:51] INFO - Epoch 14/50, Iter 26200: Loss = 0.024019204080104828, lr = 0.0001 |
|
[04:44:27] INFO - Epoch 15/50, Iter 26300: Loss = 0.02434862032532692, lr = 0.0001 |
|
[04:45:04] INFO - Epoch 15/50, Iter 26400: Loss = 0.019603703171014786, lr = 0.0001 |
|
[04:45:42] INFO - Epoch 15/50, Iter 26500: Loss = 0.02259880304336548, lr = 0.0001 |
|
[04:46:20] INFO - Epoch 15/50, Iter 26600: Loss = 0.0331149660050869, lr = 0.0001 |
|
[04:46:58] INFO - Epoch 15/50, Iter 26700: Loss = 0.026867881417274475, lr = 0.0001 |
|
[04:47:36] INFO - Epoch 15/50, Iter 26800: Loss = 0.024988386780023575, lr = 0.0001 |
|
[04:48:14] INFO - Epoch 15/50, Iter 26900: Loss = 0.02191883698105812, lr = 0.0001 |
|
[04:50:03] INFO - Epoch 15/50, Iter 27000: Loss = 0.02334633283317089, lr = 0.0001 |
|
[04:50:40] INFO - Epoch 15/50, Iter 27100: Loss = 0.037146203219890594, lr = 0.0001 |
|
[04:51:16] INFO - Epoch 15/50, Iter 27200: Loss = 0.02440967783331871, lr = 0.0001 |
|
[04:51:51] INFO - Epoch 15/50, Iter 27300: Loss = 0.01723914034664631, lr = 0.0001 |
|
[04:52:26] INFO - Epoch 15/50, Iter 27400: Loss = 0.018244989216327667, lr = 0.0001 |
|
[04:53:04] INFO - Epoch 15/50, Iter 27500: Loss = 0.027221685275435448, lr = 0.0001 |
|
[04:53:41] INFO - Epoch 15/50, Iter 27600: Loss = 0.031127087771892548, lr = 0.0001 |
|
[04:54:18] INFO - Epoch 15/50, Iter 27700: Loss = 0.030011950060725212, lr = 0.0001 |
|
[04:54:54] INFO - Epoch 15/50, Iter 27800: Loss = 0.026527389883995056, lr = 0.0001 |
|
[04:55:31] INFO - Epoch 15/50, Iter 27900: Loss = 0.01575150154531002, lr = 0.0001 |
|
[04:57:17] INFO - Epoch 15/50, Iter 28000: Loss = 0.021047182381153107, lr = 0.0001 |
|
[04:57:54] INFO - Epoch 15/50, Iter 28100: Loss = 0.019234780222177505, lr = 0.0001 |
|
[04:58:32] INFO - Epoch 16/50, Iter 28200: Loss = 0.020383525639772415, lr = 0.0001 |
|
[04:59:07] INFO - Epoch 16/50, Iter 28300: Loss = 0.016444209963083267, lr = 0.0001 |
|
[04:59:43] INFO - Epoch 16/50, Iter 28400: Loss = 0.018604744225740433, lr = 0.0001 |
|
[05:00:20] INFO - Epoch 16/50, Iter 28500: Loss = 0.019427413120865822, lr = 0.0001 |
|
[05:00:58] INFO - Epoch 16/50, Iter 28600: Loss = 0.017774565145373344, lr = 0.0001 |
|
[05:01:36] INFO - Epoch 16/50, Iter 28700: Loss = 0.023675590753555298, lr = 0.0001 |
|
[05:02:14] INFO - Epoch 16/50, Iter 28800: Loss = 0.020861458033323288, lr = 0.0001 |
|
[05:02:52] INFO - Epoch 16/50, Iter 28900: Loss = 0.018384676426649094, lr = 0.0001 |
|
[05:04:40] INFO - Epoch 16/50, Iter 29000: Loss = 0.016222134232521057, lr = 0.0001 |
|
[05:05:18] INFO - Epoch 16/50, Iter 29100: Loss = 0.028459617868065834, lr = 0.0001 |
|
[05:05:55] INFO - Epoch 16/50, Iter 29200: Loss = 0.01797397807240486, lr = 0.0001 |
|
[05:06:32] INFO - Epoch 16/50, Iter 29300: Loss = 0.017931153997778893, lr = 0.0001 |
|
[05:07:06] INFO - Epoch 16/50, Iter 29400: Loss = 0.02121908590197563, lr = 0.0001 |
|
[05:07:42] INFO - Epoch 16/50, Iter 29500: Loss = 0.013189872726798058, lr = 0.0001 |
|
[05:08:19] INFO - Epoch 16/50, Iter 29600: Loss = 0.03299304470419884, lr = 0.0001 |
|
[05:08:55] INFO - Epoch 16/50, Iter 29700: Loss = 0.02376321330666542, lr = 0.0001 |
|
[05:09:32] INFO - Epoch 16/50, Iter 29800: Loss = 0.019566014409065247, lr = 0.0001 |
|
[05:10:09] INFO - Epoch 16/50, Iter 29900: Loss = 0.03177930414676666, lr = 0.0001 |
|
[05:11:55] INFO - Epoch 17/50, Iter 30000: Loss = 0.02080521546304226, lr = 0.0001 |
|
[05:12:33] INFO - Epoch 17/50, Iter 30100: Loss = 0.015452045015990734, lr = 0.0001 |
|
[05:13:10] INFO - Epoch 17/50, Iter 30200: Loss = 0.015891047194600105, lr = 0.0001 |
|
[05:13:48] INFO - Epoch 17/50, Iter 30300: Loss = 0.026789262890815735, lr = 0.0001 |
|
[05:14:24] INFO - Epoch 17/50, Iter 30400: Loss = 0.019903719425201416, lr = 0.0001 |
|
[05:14:59] INFO - Epoch 17/50, Iter 30500: Loss = 0.019173964858055115, lr = 0.0001 |
|
[05:15:36] INFO - Epoch 17/50, Iter 30600: Loss = 0.022256750613451004, lr = 0.0001 |
|
[05:16:14] INFO - Epoch 17/50, Iter 30700: Loss = 0.02445339225232601, lr = 0.0001 |
|
[05:16:52] INFO - Epoch 17/50, Iter 30800: Loss = 0.024548256769776344, lr = 0.0001 |
|
[05:17:30] INFO - Epoch 17/50, Iter 30900: Loss = 0.02155543863773346, lr = 0.0001 |
|
[05:19:18] INFO - Epoch 17/50, Iter 31000: Loss = 0.021055273711681366, lr = 0.0001 |
|
[05:19:56] INFO - Epoch 17/50, Iter 31100: Loss = 0.020960915833711624, lr = 0.0001 |
|
[05:20:33] INFO - Epoch 17/50, Iter 31200: Loss = 0.025311872363090515, lr = 0.0001 |
|
[05:21:11] INFO - Epoch 17/50, Iter 31300: Loss = 0.019544431939721107, lr = 0.0001 |
|
[05:21:48] INFO - Epoch 17/50, Iter 31400: Loss = 0.01915333792567253, lr = 0.0001 |
|
[05:22:22] INFO - Epoch 17/50, Iter 31500: Loss = 0.03003186732530594, lr = 0.0001 |
|
[05:22:56] INFO - Epoch 17/50, Iter 31600: Loss = 0.02915569767355919, lr = 0.0001 |
|
[05:23:33] INFO - Epoch 17/50, Iter 31700: Loss = 0.024165939539670944, lr = 0.0001 |
|
[05:24:10] INFO - Epoch 17/50, Iter 31800: Loss = 0.015153701417148113, lr = 0.0001 |
|
[05:24:47] INFO - Epoch 18/50, Iter 31900: Loss = 0.015807051211595535, lr = 0.0001 |
|
[05:26:34] INFO - Epoch 18/50, Iter 32000: Loss = 0.024118462577462196, lr = 0.0001 |
|
[05:27:11] INFO - Epoch 18/50, Iter 32100: Loss = 0.02389802597463131, lr = 0.0001 |
|
[05:27:47] INFO - Epoch 18/50, Iter 32200: Loss = 0.012799250893294811, lr = 0.0001 |
|
[05:28:24] INFO - Epoch 18/50, Iter 32300: Loss = 0.022414622828364372, lr = 0.0001 |
|
[05:29:01] INFO - Epoch 18/50, Iter 32400: Loss = 0.012300081551074982, lr = 0.0001 |
|
[05:29:37] INFO - Epoch 18/50, Iter 32500: Loss = 0.022501520812511444, lr = 0.0001 |
|
[05:30:12] INFO - Epoch 18/50, Iter 32600: Loss = 0.02582414075732231, lr = 0.0001 |
|
[05:30:47] INFO - Epoch 18/50, Iter 32700: Loss = 0.014079990796744823, lr = 0.0001 |
|
[05:31:24] INFO - Epoch 18/50, Iter 32800: Loss = 0.019541800022125244, lr = 0.0001 |
|
[05:32:02] INFO - Epoch 18/50, Iter 32900: Loss = 0.018132250756025314, lr = 0.0001 |
|
[05:33:49] INFO - Epoch 18/50, Iter 33000: Loss = 0.026356974616646767, lr = 0.0001 |
|
[05:34:27] INFO - Epoch 18/50, Iter 33100: Loss = 0.022777386009693146, lr = 0.0001 |
|
[05:35:04] INFO - Epoch 18/50, Iter 33200: Loss = 0.019965749233961105, lr = 0.0001 |
|
[05:35:42] INFO - Epoch 18/50, Iter 33300: Loss = 0.025099262595176697, lr = 0.0001 |
|
[05:36:19] INFO - Epoch 18/50, Iter 33400: Loss = 0.023254601284861565, lr = 0.0001 |
|
[05:36:55] INFO - Epoch 18/50, Iter 33500: Loss = 0.019896823912858963, lr = 0.0001 |
|
[05:37:31] INFO - Epoch 18/50, Iter 33600: Loss = 0.024235250428318977, lr = 0.0001 |
|
[05:38:06] INFO - Epoch 18/50, Iter 33700: Loss = 0.02070479653775692, lr = 0.0001 |
|
[05:38:43] INFO - Epoch 19/50, Iter 33800: Loss = 0.035438623279333115, lr = 0.0001 |
|
[05:39:21] INFO - Epoch 19/50, Iter 33900: Loss = 0.027448982000350952, lr = 0.0001 |
|
[05:41:09] INFO - Epoch 19/50, Iter 34000: Loss = 0.018178656697273254, lr = 0.0001 |
|
[05:41:46] INFO - Epoch 19/50, Iter 34100: Loss = 0.038496233522892, lr = 0.0001 |
|
[05:42:24] INFO - Epoch 19/50, Iter 34200: Loss = 0.030291561037302017, lr = 0.0001 |
|
[05:43:01] INFO - Epoch 19/50, Iter 34300: Loss = 0.03536762297153473, lr = 0.0001 |
|
[05:43:38] INFO - Epoch 19/50, Iter 34400: Loss = 0.016288427636027336, lr = 0.0001 |
|
[05:44:16] INFO - Epoch 19/50, Iter 34500: Loss = 0.022963257506489754, lr = 0.0001 |
|
[05:44:53] INFO - Epoch 19/50, Iter 34600: Loss = 0.026906738057732582, lr = 0.0001 |
|
[05:45:28] INFO - Epoch 19/50, Iter 34700: Loss = 0.01948506198823452, lr = 0.0001 |
|
[05:46:02] INFO - Epoch 19/50, Iter 34800: Loss = 0.016246482729911804, lr = 0.0001 |
|
[05:46:40] INFO - Epoch 19/50, Iter 34900: Loss = 0.02436024695634842, lr = 0.0001 |
|
[05:48:27] INFO - Epoch 19/50, Iter 35000: Loss = 0.02122604288160801, lr = 0.0001 |
|
[05:49:04] INFO - Epoch 19/50, Iter 35100: Loss = 0.028715120628476143, lr = 0.0001 |
|
[05:49:42] INFO - Epoch 19/50, Iter 35200: Loss = 0.026141855865716934, lr = 0.0001 |
|
[05:50:19] INFO - Epoch 19/50, Iter 35300: Loss = 0.019213732331991196, lr = 0.0001 |
|
[05:50:56] INFO - Epoch 19/50, Iter 35400: Loss = 0.03243093192577362, lr = 0.0001 |
|
[05:51:33] INFO - Epoch 19/50, Iter 35500: Loss = 0.03266039490699768, lr = 0.0001 |
|
[05:52:09] INFO - Epoch 19/50, Iter 35600: Loss = 0.017232870683073997, lr = 0.0001 |
|
[05:52:46] INFO - Epoch 20/50, Iter 35700: Loss = 0.026399090886116028, lr = 0.0001 |
|
[05:53:22] INFO - Epoch 20/50, Iter 35800: Loss = 0.028520701453089714, lr = 0.0001 |
|
[05:53:58] INFO - Epoch 20/50, Iter 35900: Loss = 0.02605503797531128, lr = 0.0001 |
|
[05:55:46] INFO - Epoch 20/50, Iter 36000: Loss = 0.015452174469828606, lr = 0.0001 |
|
[05:56:23] INFO - Epoch 20/50, Iter 36100: Loss = 0.017282821238040924, lr = 0.0001 |
|
[05:57:01] INFO - Epoch 20/50, Iter 36200: Loss = 0.025303389877080917, lr = 0.0001 |
|
[05:57:38] INFO - Epoch 20/50, Iter 36300: Loss = 0.019291004166007042, lr = 0.0001 |
|
[05:58:15] INFO - Epoch 20/50, Iter 36400: Loss = 0.02849787101149559, lr = 0.0001 |
|
[05:58:53] INFO - Epoch 20/50, Iter 36500: Loss = 0.03238069638609886, lr = 0.0001 |
|
[05:59:30] INFO - Epoch 20/50, Iter 36600: Loss = 0.02071816474199295, lr = 0.0001 |
|
[06:00:07] INFO - Epoch 20/50, Iter 36700: Loss = 0.019271377474069595, lr = 0.0001 |
|
[06:00:42] INFO - Epoch 20/50, Iter 36800: Loss = 0.02762100100517273, lr = 0.0001 |
|
[06:01:17] INFO - Epoch 20/50, Iter 36900: Loss = 0.02517077326774597, lr = 0.0001 |
|
[06:03:04] INFO - Epoch 20/50, Iter 37000: Loss = 0.03359407186508179, lr = 0.0001 |
|
[06:03:42] INFO - Epoch 20/50, Iter 37100: Loss = 0.024368373677134514, lr = 0.0001 |
|
[06:04:19] INFO - Epoch 20/50, Iter 37200: Loss = 0.01826002635061741, lr = 0.0001 |
|
[06:04:57] INFO - Epoch 20/50, Iter 37300: Loss = 0.018539167940616608, lr = 0.0001 |
|
[06:05:33] INFO - Epoch 20/50, Iter 37400: Loss = 0.02147294208407402, lr = 0.0001 |
|
[06:06:11] INFO - Epoch 21/50, Iter 37500: Loss = 0.03047824651002884, lr = 0.0001 |
|
[06:06:48] INFO - Epoch 21/50, Iter 37600: Loss = 0.02184651419520378, lr = 0.0001 |
|
[06:07:26] INFO - Epoch 21/50, Iter 37700: Loss = 0.025026265531778336, lr = 0.0001 |
|
[06:08:02] INFO - Epoch 21/50, Iter 37800: Loss = 0.017012089490890503, lr = 0.0001 |
|
[06:08:38] INFO - Epoch 21/50, Iter 37900: Loss = 0.026773590594530106, lr = 0.0001 |
|
[06:10:24] INFO - Epoch 21/50, Iter 38000: Loss = 0.024802416563034058, lr = 0.0001 |
|
[06:11:01] INFO - Epoch 21/50, Iter 38100: Loss = 0.023794755339622498, lr = 0.0001 |
|
[06:11:39] INFO - Epoch 21/50, Iter 38200: Loss = 0.019931890070438385, lr = 0.0001 |
|
[06:12:16] INFO - Epoch 21/50, Iter 38300: Loss = 0.022862359881401062, lr = 0.0001 |
|
[06:12:53] INFO - Epoch 21/50, Iter 38400: Loss = 0.015643121674656868, lr = 0.0001 |
|
[06:13:31] INFO - Epoch 21/50, Iter 38500: Loss = 0.018159756436944008, lr = 0.0001 |
|
[06:14:08] INFO - Epoch 21/50, Iter 38600: Loss = 0.023093489930033684, lr = 0.0001 |
|
[06:14:45] INFO - Epoch 21/50, Iter 38700: Loss = 0.02346295490860939, lr = 0.0001 |
|
[06:15:23] INFO - Epoch 21/50, Iter 38800: Loss = 0.016494235023856163, lr = 0.0001 |
|
[06:15:58] INFO - Epoch 21/50, Iter 38900: Loss = 0.022135134786367416, lr = 0.0001 |
|
[06:17:42] INFO - Epoch 21/50, Iter 39000: Loss = 0.02312326431274414, lr = 0.0001 |
|
[06:18:19] INFO - Epoch 21/50, Iter 39100: Loss = 0.01600954681634903, lr = 0.0001 |
|
[06:18:57] INFO - Epoch 21/50, Iter 39200: Loss = 0.028728237375617027, lr = 0.0001 |
|
[06:19:34] INFO - Epoch 21/50, Iter 39300: Loss = 0.021084200590848923, lr = 0.0001 |
|
[06:20:11] INFO - Epoch 22/50, Iter 39400: Loss = 0.027077186852693558, lr = 0.0001 |
|
[06:20:49] INFO - Epoch 22/50, Iter 39500: Loss = 0.01724139414727688, lr = 0.0001 |
|
[06:21:26] INFO - Epoch 22/50, Iter 39600: Loss = 0.017984826117753983, lr = 0.0001 |
|
[06:22:03] INFO - Epoch 22/50, Iter 39700: Loss = 0.020777074620127678, lr = 0.0001 |
|
[06:22:41] INFO - Epoch 22/50, Iter 39800: Loss = 0.034250833094120026, lr = 0.0001 |
|
[06:23:18] INFO - Epoch 22/50, Iter 39900: Loss = 0.021932916715741158, lr = 0.0001 |
|
[06:25:00] INFO - Epoch 22/50, Iter 40000: Loss = 0.03071112185716629, lr = 0.0001 |
|
[06:25:38] INFO - Epoch 22/50, Iter 40100: Loss = 0.021631088107824326, lr = 0.0001 |
|
[06:26:15] INFO - Epoch 22/50, Iter 40200: Loss = 0.018738504499197006, lr = 0.0001 |
|
[06:26:53] INFO - Epoch 22/50, Iter 40300: Loss = 0.028383584693074226, lr = 0.0001 |
|
[06:27:30] INFO - Epoch 22/50, Iter 40400: Loss = 0.021290233358740807, lr = 0.0001 |
|
[06:28:07] INFO - Epoch 22/50, Iter 40500: Loss = 0.03446844965219498, lr = 0.0001 |
|
[06:28:45] INFO - Epoch 22/50, Iter 40600: Loss = 0.018756400793790817, lr = 0.0001 |
|
[06:29:22] INFO - Epoch 22/50, Iter 40700: Loss = 0.024726085364818573, lr = 0.0001 |
|
[06:30:00] INFO - Epoch 22/50, Iter 40800: Loss = 0.015223012305796146, lr = 0.0001 |
|
[06:30:37] INFO - Epoch 22/50, Iter 40900: Loss = 0.023908548057079315, lr = 0.0001 |
|
[06:32:19] INFO - Epoch 22/50, Iter 41000: Loss = 0.029199382290244102, lr = 0.0001 |
|
[06:32:56] INFO - Epoch 22/50, Iter 41100: Loss = 0.028144368901848793, lr = 0.0001 |
|
[06:33:34] INFO - Epoch 22/50, Iter 41200: Loss = 0.02745593711733818, lr = 0.0001 |
|
[06:34:12] INFO - Epoch 23/50, Iter 41300: Loss = 0.019279180094599724, lr = 0.0001 |
|
[06:34:49] INFO - Epoch 23/50, Iter 41400: Loss = 0.02318675071001053, lr = 0.0001 |
|
[06:35:26] INFO - Epoch 23/50, Iter 41500: Loss = 0.017886362969875336, lr = 0.0001 |
|
[06:36:03] INFO - Epoch 23/50, Iter 41600: Loss = 0.018750198185443878, lr = 0.0001 |
|
[06:36:41] INFO - Epoch 23/50, Iter 41700: Loss = 0.02191336825489998, lr = 0.0001 |
|
[06:37:18] INFO - Epoch 23/50, Iter 41800: Loss = 0.03157617896795273, lr = 0.0001 |
|
[06:37:55] INFO - Epoch 23/50, Iter 41900: Loss = 0.017570078372955322, lr = 0.0001 |
|
[06:39:38] INFO - Epoch 23/50, Iter 42000: Loss = 0.02058098092675209, lr = 0.0001 |
|
[06:40:15] INFO - Epoch 23/50, Iter 42100: Loss = 0.026018939912319183, lr = 0.0001 |
|
[06:40:52] INFO - Epoch 23/50, Iter 42200: Loss = 0.02059439942240715, lr = 0.0001 |
|
[06:41:30] INFO - Epoch 23/50, Iter 42300: Loss = 0.011693568900227547, lr = 0.0001 |
|
[06:42:07] INFO - Epoch 23/50, Iter 42400: Loss = 0.022519651800394058, lr = 0.0001 |
|
[06:42:44] INFO - Epoch 23/50, Iter 42500: Loss = 0.01847762055695057, lr = 0.0001 |
|
[06:43:22] INFO - Epoch 23/50, Iter 42600: Loss = 0.020165227353572845, lr = 0.0001 |
|
[06:43:59] INFO - Epoch 23/50, Iter 42700: Loss = 0.027182873338460922, lr = 0.0001 |
|
[06:44:36] INFO - Epoch 23/50, Iter 42800: Loss = 0.018888037651777267, lr = 0.0001 |
|
[06:45:14] INFO - Epoch 23/50, Iter 42900: Loss = 0.00990472175180912, lr = 0.0001 |
|
[06:46:58] INFO - Epoch 23/50, Iter 43000: Loss = 0.009258471429347992, lr = 0.0001 |
|
[06:47:33] INFO - Epoch 23/50, Iter 43100: Loss = 0.017583448439836502, lr = 0.0001 |
|
[06:48:12] INFO - Epoch 24/50, Iter 43200: Loss = 0.027309181168675423, lr = 0.0001 |
|
[06:48:50] INFO - Epoch 24/50, Iter 43300: Loss = 0.022596612572669983, lr = 0.0001 |
|
[06:49:27] INFO - Epoch 24/50, Iter 43400: Loss = 0.016877392306923866, lr = 0.0001 |
|
[06:50:04] INFO - Epoch 24/50, Iter 43500: Loss = 0.02063451148569584, lr = 0.0001 |
|
[06:50:42] INFO - Epoch 24/50, Iter 43600: Loss = 0.023637618869543076, lr = 0.0001 |
|
[06:51:19] INFO - Epoch 24/50, Iter 43700: Loss = 0.022452209144830704, lr = 0.0001 |
|
[06:51:56] INFO - Epoch 24/50, Iter 43800: Loss = 0.019610881805419922, lr = 0.0001 |
|
[06:52:34] INFO - Epoch 24/50, Iter 43900: Loss = 0.02145165205001831, lr = 0.0001 |
|
[06:54:18] INFO - Epoch 24/50, Iter 44000: Loss = 0.021221479400992393, lr = 0.0001 |
|
[06:54:53] INFO - Epoch 24/50, Iter 44100: Loss = 0.018081754446029663, lr = 0.0001 |
|
[06:55:30] INFO - Epoch 24/50, Iter 44200: Loss = 0.019172552973031998, lr = 0.0001 |
|
[06:56:07] INFO - Epoch 24/50, Iter 44300: Loss = 0.029354147613048553, lr = 0.0001 |
|
[06:56:45] INFO - Epoch 24/50, Iter 44400: Loss = 0.02133547142148018, lr = 0.0001 |
|
[06:57:22] INFO - Epoch 24/50, Iter 44500: Loss = 0.03115892969071865, lr = 0.0001 |
|
[06:57:59] INFO - Epoch 24/50, Iter 44600: Loss = 0.028472255915403366, lr = 0.0001 |
|
[06:58:37] INFO - Epoch 24/50, Iter 44700: Loss = 0.01984764076769352, lr = 0.0001 |
|
[06:59:14] INFO - Epoch 24/50, Iter 44800: Loss = 0.020234258845448494, lr = 0.0001 |
|
[06:59:51] INFO - Epoch 24/50, Iter 44900: Loss = 0.013643868267536163, lr = 0.0001 |
|
[07:01:38] INFO - Epoch 25/50, Iter 45000: Loss = 0.020893389359116554, lr = 0.0001 |
|
[07:02:14] INFO - Epoch 25/50, Iter 45100: Loss = 0.018400561064481735, lr = 0.0001 |
|
[07:02:49] INFO - Epoch 25/50, Iter 45200: Loss = 0.024892032146453857, lr = 0.0001 |
|
[07:03:28] INFO - Epoch 25/50, Iter 45300: Loss = 0.02168758027255535, lr = 0.0001 |
|
[07:04:04] INFO - Epoch 25/50, Iter 45400: Loss = 0.014965218491852283, lr = 0.0001 |
|
[07:04:42] INFO - Epoch 25/50, Iter 45500: Loss = 0.016451682895421982, lr = 0.0001 |
|
[07:05:19] INFO - Epoch 25/50, Iter 45600: Loss = 0.01958932727575302, lr = 0.0001 |
|
[07:05:57] INFO - Epoch 25/50, Iter 45700: Loss = 0.02093309909105301, lr = 0.0001 |
|
[07:06:34] INFO - Epoch 25/50, Iter 45800: Loss = 0.019978303462266922, lr = 0.0001 |
|
[07:07:11] INFO - Epoch 25/50, Iter 45900: Loss = 0.026181869208812714, lr = 0.0001 |
|
[07:08:57] INFO - Epoch 25/50, Iter 46000: Loss = 0.01811271533370018, lr = 0.0001 |
|
[07:09:33] INFO - Epoch 25/50, Iter 46100: Loss = 0.01941503770649433, lr = 0.0001 |
|
[07:10:08] INFO - Epoch 25/50, Iter 46200: Loss = 0.02309822291135788, lr = 0.0001 |
|
[07:10:43] INFO - Epoch 25/50, Iter 46300: Loss = 0.019712526351213455, lr = 0.0001 |
|
[07:11:21] INFO - Epoch 25/50, Iter 46400: Loss = 0.02885950542986393, lr = 0.0001 |
|
[07:11:58] INFO - Epoch 25/50, Iter 46500: Loss = 0.022054243832826614, lr = 0.0001 |
|
[07:12:36] INFO - Epoch 25/50, Iter 46600: Loss = 0.020716888830065727, lr = 0.0001 |
|
[07:13:13] INFO - Epoch 25/50, Iter 46700: Loss = 0.029608381912112236, lr = 0.0001 |
|
[07:13:50] INFO - Epoch 25/50, Iter 46800: Loss = 0.031893111765384674, lr = 0.0001 |
|
[07:14:29] INFO - Epoch 26/50, Iter 46900: Loss = 0.018023375421762466, lr = 0.0001 |
|
[07:16:17] INFO - Epoch 26/50, Iter 47000: Loss = 0.021756181493401527, lr = 0.0001 |
|
[07:16:54] INFO - Epoch 26/50, Iter 47100: Loss = 0.014003759250044823, lr = 0.0001 |
|
[07:17:28] INFO - Epoch 26/50, Iter 47200: Loss = 0.02504022791981697, lr = 0.0001 |
|
[07:18:03] INFO - Epoch 26/50, Iter 47300: Loss = 0.022718233987689018, lr = 0.0001 |
|
[07:18:39] INFO - Epoch 26/50, Iter 47400: Loss = 0.022739659994840622, lr = 0.0001 |
|
[07:19:16] INFO - Epoch 26/50, Iter 47500: Loss = 0.01982242986559868, lr = 0.0001 |
|
[07:19:53] INFO - Epoch 26/50, Iter 47600: Loss = 0.023511618375778198, lr = 0.0001 |
|
[07:20:30] INFO - Epoch 26/50, Iter 47700: Loss = 0.02158450335264206, lr = 0.0001 |
|
[07:21:06] INFO - Epoch 26/50, Iter 47800: Loss = 0.0194215290248394, lr = 0.0001 |
|
[07:21:43] INFO - Epoch 26/50, Iter 47900: Loss = 0.01607697084546089, lr = 0.0001 |
|
[07:23:29] INFO - Epoch 26/50, Iter 48000: Loss = 0.031847916543483734, lr = 0.0001 |
|
[07:24:06] INFO - Epoch 26/50, Iter 48100: Loss = 0.016561947762966156, lr = 0.0001 |
|
[07:24:42] INFO - Epoch 26/50, Iter 48200: Loss = 0.022396143525838852, lr = 0.0001 |
|
[07:25:17] INFO - Epoch 26/50, Iter 48300: Loss = 0.014768151566386223, lr = 0.0001 |
|
[07:25:52] INFO - Epoch 26/50, Iter 48400: Loss = 0.017738102003932, lr = 0.0001 |
|
[07:26:29] INFO - Epoch 26/50, Iter 48500: Loss = 0.02863166481256485, lr = 0.0001 |
|
[07:27:06] INFO - Epoch 26/50, Iter 48600: Loss = 0.020090758800506592, lr = 0.0001 |
|
[07:27:43] INFO - Epoch 26/50, Iter 48700: Loss = 0.025523288175463676, lr = 0.0001 |
|
[07:28:22] INFO - Epoch 27/50, Iter 48800: Loss = 0.015607817098498344, lr = 0.0001 |
|
[07:29:00] INFO - Epoch 27/50, Iter 48900: Loss = 0.01831909641623497, lr = 0.0001 |
|
[07:30:48] INFO - Epoch 27/50, Iter 49000: Loss = 0.020194053649902344, lr = 0.0001 |
|
[07:31:25] INFO - Epoch 27/50, Iter 49100: Loss = 0.016583867371082306, lr = 0.0001 |
|
[07:32:01] INFO - Epoch 27/50, Iter 49200: Loss = 0.025016678497195244, lr = 0.0001 |
|
[07:32:37] INFO - Epoch 27/50, Iter 49300: Loss = 0.019450880587100983, lr = 0.0001 |
|
[07:33:12] INFO - Epoch 27/50, Iter 49400: Loss = 0.019358769059181213, lr = 0.0001 |
|
[07:33:47] INFO - Epoch 27/50, Iter 49500: Loss = 0.02399422787129879, lr = 0.0001 |
|
[07:34:25] INFO - Epoch 27/50, Iter 49600: Loss = 0.022624319419264793, lr = 0.0001 |
|
[07:35:02] INFO - Epoch 27/50, Iter 49700: Loss = 0.018581345677375793, lr = 0.0001 |
|
[07:35:40] INFO - Epoch 27/50, Iter 49800: Loss = 0.03396957740187645, lr = 0.0001 |
|
[07:36:17] INFO - Epoch 27/50, Iter 49900: Loss = 0.01653345674276352, lr = 0.0001 |
|
[07:38:04] INFO - Epoch 27/50, Iter 50000: Loss = 0.020367326214909554, lr = 0.0001 |
|
[07:38:42] INFO - Epoch 27/50, Iter 50100: Loss = 0.026802118867635727, lr = 0.0001 |
|
[07:39:19] INFO - Epoch 27/50, Iter 50200: Loss = 0.02551976591348648, lr = 0.0001 |
|
[07:39:57] INFO - Epoch 27/50, Iter 50300: Loss = 0.026955192908644676, lr = 0.0001 |
|
[07:40:31] INFO - Epoch 27/50, Iter 50400: Loss = 0.030265633016824722, lr = 0.0001 |
|
[07:41:06] INFO - Epoch 27/50, Iter 50500: Loss = 0.02354291081428528, lr = 0.0001 |
|
[07:41:43] INFO - Epoch 27/50, Iter 50600: Loss = 0.014263815246522427, lr = 0.0001 |
|
[07:42:21] INFO - Epoch 28/50, Iter 50700: Loss = 0.026106689125299454, lr = 0.0001 |
|
[07:42:59] INFO - Epoch 28/50, Iter 50800: Loss = 0.02534874901175499, lr = 0.0001 |
|
[07:43:37] INFO - Epoch 28/50, Iter 50900: Loss = 0.02099444344639778, lr = 0.0001 |
|
[07:45:25] INFO - Epoch 28/50, Iter 51000: Loss = 0.021261703222990036, lr = 0.0001 |
|
[07:46:02] INFO - Epoch 28/50, Iter 51100: Loss = 0.016304541379213333, lr = 0.0001 |
|
[07:46:39] INFO - Epoch 28/50, Iter 51200: Loss = 0.020184708759188652, lr = 0.0001 |
|
[07:47:15] INFO - Epoch 28/50, Iter 51300: Loss = 0.01964147947728634, lr = 0.0001 |
|
[07:47:51] INFO - Epoch 28/50, Iter 51400: Loss = 0.016097456216812134, lr = 0.0001 |
|
[07:48:26] INFO - Epoch 28/50, Iter 51500: Loss = 0.018887262791395187, lr = 0.0001 |
|
[07:49:01] INFO - Epoch 28/50, Iter 51600: Loss = 0.03289520740509033, lr = 0.0001 |
|
[07:49:39] INFO - Epoch 28/50, Iter 51700: Loss = 0.02468728832900524, lr = 0.0001 |
|
[07:50:16] INFO - Epoch 28/50, Iter 51800: Loss = 0.020057909190654755, lr = 0.0001 |
|
[07:50:54] INFO - Epoch 28/50, Iter 51900: Loss = 0.020394371822476387, lr = 0.0001 |
|
[07:52:41] INFO - Epoch 28/50, Iter 52000: Loss = 0.02179614081978798, lr = 0.0001 |
|
[07:53:18] INFO - Epoch 28/50, Iter 52100: Loss = 0.018156271427869797, lr = 0.0001 |
|
[07:53:55] INFO - Epoch 28/50, Iter 52200: Loss = 0.02341829240322113, lr = 0.0001 |
|
[07:54:33] INFO - Epoch 28/50, Iter 52300: Loss = 0.016954025253653526, lr = 0.0001 |
|
[07:55:10] INFO - Epoch 28/50, Iter 52400: Loss = 0.026269305497407913, lr = 0.0001 |
|
[07:55:46] INFO - Epoch 29/50, Iter 52500: Loss = 0.01687164232134819, lr = 0.0001 |
|
[07:56:21] INFO - Epoch 29/50, Iter 52600: Loss = 0.01376437209546566, lr = 0.0001 |
|
[07:56:58] INFO - Epoch 29/50, Iter 52700: Loss = 0.021159611642360687, lr = 0.0001 |
|
[07:57:36] INFO - Epoch 29/50, Iter 52800: Loss = 0.015487756580114365, lr = 0.0001 |
|
[07:58:14] INFO - Epoch 29/50, Iter 52900: Loss = 0.025838203728199005, lr = 0.0001 |
|
[08:00:02] INFO - Epoch 29/50, Iter 53000: Loss = 0.02396319806575775, lr = 0.0001 |
|
[08:00:39] INFO - Epoch 29/50, Iter 53100: Loss = 0.019110538065433502, lr = 0.0001 |
|
[08:01:16] INFO - Epoch 29/50, Iter 53200: Loss = 0.01159975677728653, lr = 0.0001 |
|
[08:01:53] INFO - Epoch 29/50, Iter 53300: Loss = 0.03230958431959152, lr = 0.0001 |
|
[08:02:29] INFO - Epoch 29/50, Iter 53400: Loss = 0.022003935649991035, lr = 0.0001 |
|
[08:03:06] INFO - Epoch 29/50, Iter 53500: Loss = 0.011917732656002045, lr = 0.0001 |
|
[08:03:40] INFO - Epoch 29/50, Iter 53600: Loss = 0.024439413100481033, lr = 0.0001 |
|
[08:04:15] INFO - Epoch 29/50, Iter 53700: Loss = 0.02025175467133522, lr = 0.0001 |
|
[08:04:52] INFO - Epoch 29/50, Iter 53800: Loss = 0.017246924340724945, lr = 0.0001 |
|
[08:05:30] INFO - Epoch 29/50, Iter 53900: Loss = 0.030383361503481865, lr = 0.0001 |
|
[08:07:17] INFO - Epoch 29/50, Iter 54000: Loss = 0.01954091340303421, lr = 0.0001 |
|
[08:07:54] INFO - Epoch 29/50, Iter 54100: Loss = 0.0225138571113348, lr = 0.0001 |
|
[08:08:32] INFO - Epoch 29/50, Iter 54200: Loss = 0.01854889467358589, lr = 0.0001 |
|
[08:09:09] INFO - Epoch 29/50, Iter 54300: Loss = 0.027329208329319954, lr = 0.0001 |
|
[08:09:47] INFO - Epoch 30/50, Iter 54400: Loss = 0.02209412306547165, lr = 0.0001 |
|
[08:10:25] INFO - Epoch 30/50, Iter 54500: Loss = 0.02240779995918274, lr = 0.0001 |
|
[08:11:01] INFO - Epoch 30/50, Iter 54600: Loss = 0.016268890351057053, lr = 0.0001 |
|
[08:11:37] INFO - Epoch 30/50, Iter 54700: Loss = 0.020547280088067055, lr = 0.0001 |
|
[08:12:14] INFO - Epoch 30/50, Iter 54800: Loss = 0.025404835119843483, lr = 0.0001 |
|
[08:12:52] INFO - Epoch 30/50, Iter 54900: Loss = 0.04109298810362816, lr = 0.0001 |
|
[08:14:39] INFO - Epoch 30/50, Iter 55000: Loss = 0.025483297184109688, lr = 0.0001 |
|
[08:15:16] INFO - Epoch 30/50, Iter 55100: Loss = 0.02378198504447937, lr = 0.0001 |
|
[08:15:53] INFO - Epoch 30/50, Iter 55200: Loss = 0.02577335573732853, lr = 0.0001 |
|
[08:16:30] INFO - Epoch 30/50, Iter 55300: Loss = 0.018335986882448196, lr = 0.0001 |
|
[08:17:06] INFO - Epoch 30/50, Iter 55400: Loss = 0.018661705777049065, lr = 0.0001 |
|
[08:17:43] INFO - Epoch 30/50, Iter 55500: Loss = 0.016169201582670212, lr = 0.0001 |
|
[08:18:20] INFO - Epoch 30/50, Iter 55600: Loss = 0.029093626886606216, lr = 0.0001 |
|
[08:18:55] INFO - Epoch 30/50, Iter 55700: Loss = 0.01622368022799492, lr = 0.0001 |
|
[08:19:29] INFO - Epoch 30/50, Iter 55800: Loss = 0.012564092874526978, lr = 0.0001 |
|
[08:20:06] INFO - Epoch 30/50, Iter 55900: Loss = 0.03472227603197098, lr = 0.0001 |
|
[08:21:54] INFO - Epoch 30/50, Iter 56000: Loss = 0.025271758437156677, lr = 0.0001 |
|
[08:22:31] INFO - Epoch 30/50, Iter 56100: Loss = 0.015396498143672943, lr = 0.0001 |
|
[08:23:08] INFO - Epoch 30/50, Iter 56200: Loss = 0.015089810825884342, lr = 0.0001 |
|
[08:23:47] INFO - Epoch 31/50, Iter 56300: Loss = 0.022155551239848137, lr = 0.0001 |
|
[08:24:25] INFO - Epoch 31/50, Iter 56400: Loss = 0.023600995540618896, lr = 0.0001 |
|
[08:25:03] INFO - Epoch 31/50, Iter 56500: Loss = 0.014499511569738388, lr = 0.0001 |
|
[08:25:41] INFO - Epoch 31/50, Iter 56600: Loss = 0.01854860782623291, lr = 0.0001 |
|
[08:26:17] INFO - Epoch 31/50, Iter 56700: Loss = 0.014885067008435726, lr = 0.0001 |
|
[08:26:52] INFO - Epoch 31/50, Iter 56800: Loss = 0.02499360591173172, lr = 0.0001 |
|
[08:27:29] INFO - Epoch 31/50, Iter 56900: Loss = 0.019067181274294853, lr = 0.0001 |
|
[08:29:17] INFO - Epoch 31/50, Iter 57000: Loss = 0.016186274588108063, lr = 0.0001 |
|
[08:29:53] INFO - Epoch 31/50, Iter 57100: Loss = 0.018789513036608696, lr = 0.0001 |
|
[08:30:30] INFO - Epoch 31/50, Iter 57200: Loss = 0.02824380248785019, lr = 0.0001 |
|
[08:31:07] INFO - Epoch 31/50, Iter 57300: Loss = 0.014734972268342972, lr = 0.0001 |
|
[08:31:44] INFO - Epoch 31/50, Iter 57400: Loss = 0.027844443917274475, lr = 0.0001 |
|
[08:32:20] INFO - Epoch 31/50, Iter 57500: Loss = 0.017645347863435745, lr = 0.0001 |
|
[08:32:57] INFO - Epoch 31/50, Iter 57600: Loss = 0.026852741837501526, lr = 0.0001 |
|
[08:33:34] INFO - Epoch 31/50, Iter 57700: Loss = 0.018187761306762695, lr = 0.0001 |
|
[08:34:09] INFO - Epoch 31/50, Iter 57800: Loss = 0.015949510037899017, lr = 0.0001 |
|
[08:34:44] INFO - Epoch 31/50, Iter 57900: Loss = 0.030537914484739304, lr = 0.0001 |
|
[08:36:30] INFO - Epoch 31/50, Iter 58000: Loss = 0.023328498005867004, lr = 0.0001 |
|
[08:37:08] INFO - Epoch 31/50, Iter 58100: Loss = 0.0321945920586586, lr = 0.0001 |
|
[08:37:46] INFO - Epoch 32/50, Iter 58200: Loss = 0.021406956017017365, lr = 0.0001 |
|
[08:38:24] INFO - Epoch 32/50, Iter 58300: Loss = 0.024833301082253456, lr = 0.0001 |
|
[08:39:02] INFO - Epoch 32/50, Iter 58400: Loss = 0.02409757860004902, lr = 0.0001 |
|
[08:39:40] INFO - Epoch 32/50, Iter 58500: Loss = 0.02115483582019806, lr = 0.0001 |
|
[08:40:18] INFO - Epoch 32/50, Iter 58600: Loss = 0.028434213250875473, lr = 0.0001 |
|
[08:40:56] INFO - Epoch 32/50, Iter 58700: Loss = 0.01535562239587307, lr = 0.0001 |
|
[08:41:33] INFO - Epoch 32/50, Iter 58800: Loss = 0.018513666465878487, lr = 0.0001 |
|
[08:42:09] INFO - Epoch 32/50, Iter 58900: Loss = 0.01970413699746132, lr = 0.0001 |
|
[08:43:55] INFO - Epoch 32/50, Iter 59000: Loss = 0.023043164983391762, lr = 0.0001 |
|
[08:44:31] INFO - Epoch 32/50, Iter 59100: Loss = 0.022449225187301636, lr = 0.0001 |
|
[08:45:08] INFO - Epoch 32/50, Iter 59200: Loss = 0.02532496303319931, lr = 0.0001 |
|
[08:45:44] INFO - Epoch 32/50, Iter 59300: Loss = 0.01836356148123741, lr = 0.0001 |
|
[08:46:21] INFO - Epoch 32/50, Iter 59400: Loss = 0.023496415466070175, lr = 0.0001 |
|
[08:46:58] INFO - Epoch 32/50, Iter 59500: Loss = 0.021977299824357033, lr = 0.0001 |
|
[08:47:35] INFO - Epoch 32/50, Iter 59600: Loss = 0.01530459150671959, lr = 0.0001 |
|
[08:48:11] INFO - Epoch 32/50, Iter 59700: Loss = 0.018574871122837067, lr = 0.0001 |
|
[08:48:48] INFO - Epoch 32/50, Iter 59800: Loss = 0.01716908998787403, lr = 0.0001 |
|
[08:49:24] INFO - Epoch 32/50, Iter 59900: Loss = 0.02111116237938404, lr = 0.0001 |
|
[08:51:08] INFO - Epoch 33/50, Iter 60000: Loss = 0.018158450722694397, lr = 0.0001 |
|
[08:51:46] INFO - Epoch 33/50, Iter 60100: Loss = 0.026417307555675507, lr = 0.0001 |
|
[08:52:24] INFO - Epoch 33/50, Iter 60200: Loss = 0.018158096820116043, lr = 0.0001 |
|
[08:53:02] INFO - Epoch 33/50, Iter 60300: Loss = 0.016817064955830574, lr = 0.0001 |
|
[08:53:40] INFO - Epoch 33/50, Iter 60400: Loss = 0.02153771184384823, lr = 0.0001 |
|
[08:54:18] INFO - Epoch 33/50, Iter 60500: Loss = 0.022119596600532532, lr = 0.0001 |
|
[08:54:56] INFO - Epoch 33/50, Iter 60600: Loss = 0.019562236964702606, lr = 0.0001 |
|
[08:55:34] INFO - Epoch 33/50, Iter 60700: Loss = 0.020703531801700592, lr = 0.0001 |
|
[08:56:12] INFO - Epoch 33/50, Iter 60800: Loss = 0.016628460958600044, lr = 0.0001 |
|
[08:56:50] INFO - Epoch 33/50, Iter 60900: Loss = 0.02273157238960266, lr = 0.0001 |
|
[08:58:33] INFO - Epoch 33/50, Iter 61000: Loss = 0.024464242160320282, lr = 0.0001 |
|
[08:59:09] INFO - Epoch 33/50, Iter 61100: Loss = 0.013031220994889736, lr = 0.0001 |
|
[08:59:46] INFO - Epoch 33/50, Iter 61200: Loss = 0.021556008607149124, lr = 0.0001 |
|
[09:00:23] INFO - Epoch 33/50, Iter 61300: Loss = 0.029755286872386932, lr = 0.0001 |
|
[09:00:59] INFO - Epoch 33/50, Iter 61400: Loss = 0.032875772565603256, lr = 0.0001 |
|
[09:01:36] INFO - Epoch 33/50, Iter 61500: Loss = 0.025967784225940704, lr = 0.0001 |
|
[09:02:13] INFO - Epoch 33/50, Iter 61600: Loss = 0.030686652287840843, lr = 0.0001 |
|
[09:02:50] INFO - Epoch 33/50, Iter 61700: Loss = 0.024082669988274574, lr = 0.0001 |
|
[09:03:27] INFO - Epoch 33/50, Iter 61800: Loss = 0.030128881335258484, lr = 0.0001 |
|
[09:04:04] INFO - Epoch 34/50, Iter 61900: Loss = 0.025132764130830765, lr = 0.0001 |
|
[09:05:47] INFO - Epoch 34/50, Iter 62000: Loss = 0.022055231034755707, lr = 0.0001 |
|
[09:06:24] INFO - Epoch 34/50, Iter 62100: Loss = 0.03396378830075264, lr = 0.0001 |
|
[09:07:01] INFO - Epoch 34/50, Iter 62200: Loss = 0.023605257272720337, lr = 0.0001 |
|
[09:07:39] INFO - Epoch 34/50, Iter 62300: Loss = 0.020592767745256424, lr = 0.0001 |
|
[09:08:16] INFO - Epoch 34/50, Iter 62400: Loss = 0.02211090177297592, lr = 0.0001 |
|
[09:08:54] INFO - Epoch 34/50, Iter 62500: Loss = 0.01478223130106926, lr = 0.0001 |
|
[09:09:31] INFO - Epoch 34/50, Iter 62600: Loss = 0.024198908358812332, lr = 0.0001 |
|
[09:10:09] INFO - Epoch 34/50, Iter 62700: Loss = 0.01895963028073311, lr = 0.0001 |
|
[09:10:46] INFO - Epoch 34/50, Iter 62800: Loss = 0.01958467997610569, lr = 0.0001 |
|
[09:11:24] INFO - Epoch 34/50, Iter 62900: Loss = 0.03069506585597992, lr = 0.0001 |
|
[09:13:07] INFO - Epoch 34/50, Iter 63000: Loss = 0.02130581997334957, lr = 0.0001 |
|
[09:13:42] INFO - Epoch 34/50, Iter 63100: Loss = 0.02590073272585869, lr = 0.0001 |
|
[09:14:19] INFO - Epoch 34/50, Iter 63200: Loss = 0.01849909871816635, lr = 0.0001 |
|
[09:14:56] INFO - Epoch 34/50, Iter 63300: Loss = 0.023221593350172043, lr = 0.0001 |
|
[09:15:33] INFO - Epoch 34/50, Iter 63400: Loss = 0.03609362989664078, lr = 0.0001 |
|
[09:16:10] INFO - Epoch 34/50, Iter 63500: Loss = 0.020269108936190605, lr = 0.0001 |
|
[09:16:46] INFO - Epoch 34/50, Iter 63600: Loss = 0.02487366460263729, lr = 0.0001 |
|
[09:17:23] INFO - Epoch 34/50, Iter 63700: Loss = 0.020187098532915115, lr = 0.0001 |
|
[09:18:01] INFO - Epoch 35/50, Iter 63800: Loss = 0.017752237617969513, lr = 0.0001 |
|
[09:18:38] INFO - Epoch 35/50, Iter 63900: Loss = 0.021988939493894577, lr = 0.0001 |
|
[09:20:23] INFO - Epoch 35/50, Iter 64000: Loss = 0.021837353706359863, lr = 0.0001 |
|
[09:20:58] INFO - Epoch 35/50, Iter 64100: Loss = 0.027255743741989136, lr = 0.0001 |
|
[09:21:34] INFO - Epoch 35/50, Iter 64200: Loss = 0.016279345378279686, lr = 0.0001 |
|
[09:22:12] INFO - Epoch 35/50, Iter 64300: Loss = 0.021551430225372314, lr = 0.0001 |
|
[09:22:49] INFO - Epoch 35/50, Iter 64400: Loss = 0.02154885232448578, lr = 0.0001 |
|
[09:23:27] INFO - Epoch 35/50, Iter 64500: Loss = 0.023760154843330383, lr = 0.0001 |
|
[09:24:04] INFO - Epoch 35/50, Iter 64600: Loss = 0.02199278213083744, lr = 0.0001 |
|
[09:24:42] INFO - Epoch 35/50, Iter 64700: Loss = 0.023603856563568115, lr = 0.0001 |
|
[09:25:19] INFO - Epoch 35/50, Iter 64800: Loss = 0.028215087950229645, lr = 0.0001 |
|
[09:25:57] INFO - Epoch 35/50, Iter 64900: Loss = 0.019689366221427917, lr = 0.0001 |
|
[09:27:42] INFO - Epoch 35/50, Iter 65000: Loss = 0.03234357759356499, lr = 0.0001 |
|
[09:28:17] INFO - Epoch 35/50, Iter 65100: Loss = 0.020737197250127792, lr = 0.0001 |
|
[09:28:52] INFO - Epoch 35/50, Iter 65200: Loss = 0.017809413373470306, lr = 0.0001 |
|
[09:29:29] INFO - Epoch 35/50, Iter 65300: Loss = 0.02523978427052498, lr = 0.0001 |
|
[09:30:07] INFO - Epoch 35/50, Iter 65400: Loss = 0.019607078284025192, lr = 0.0001 |
|
[09:30:44] INFO - Epoch 35/50, Iter 65500: Loss = 0.021371446549892426, lr = 0.0001 |
|
[09:31:22] INFO - Epoch 35/50, Iter 65600: Loss = 0.020804964005947113, lr = 0.0001 |
|
[09:32:00] INFO - Epoch 36/50, Iter 65700: Loss = 0.021034738048911095, lr = 0.0001 |
|
[09:32:38] INFO - Epoch 36/50, Iter 65800: Loss = 0.018361229449510574, lr = 0.0001 |
|
[09:33:16] INFO - Epoch 36/50, Iter 65900: Loss = 0.019015271216630936, lr = 0.0001 |
|
[09:35:05] INFO - Epoch 36/50, Iter 66000: Loss = 0.022577553987503052, lr = 0.0001 |
|
[09:35:40] INFO - Epoch 36/50, Iter 66100: Loss = 0.009200166910886765, lr = 0.0001 |
|
[09:36:14] INFO - Epoch 36/50, Iter 66200: Loss = 0.02068813145160675, lr = 0.0001 |
|
[09:36:51] INFO - Epoch 36/50, Iter 66300: Loss = 0.01857619732618332, lr = 0.0001 |
|
[09:37:28] INFO - Epoch 36/50, Iter 66400: Loss = 0.02619405835866928, lr = 0.0001 |
|
[09:38:06] INFO - Epoch 36/50, Iter 66500: Loss = 0.01501368172466755, lr = 0.0001 |
|
[09:38:43] INFO - Epoch 36/50, Iter 66600: Loss = 0.01750001311302185, lr = 0.0001 |
|
[09:39:21] INFO - Epoch 36/50, Iter 66700: Loss = 0.027220875024795532, lr = 0.0001 |
|
[09:39:58] INFO - Epoch 36/50, Iter 66800: Loss = 0.012615697458386421, lr = 0.0001 |
|
[09:40:35] INFO - Epoch 36/50, Iter 66900: Loss = 0.017686940729618073, lr = 0.0001 |
|
[09:42:21] INFO - Epoch 36/50, Iter 67000: Loss = 0.027093440294265747, lr = 0.0001 |
|
[09:42:58] INFO - Epoch 36/50, Iter 67100: Loss = 0.03175349906086922, lr = 0.0001 |
|
[09:43:32] INFO - Epoch 36/50, Iter 67200: Loss = 0.016025781631469727, lr = 0.0001 |
|
[09:44:07] INFO - Epoch 36/50, Iter 67300: Loss = 0.01850888319313526, lr = 0.0001 |
|
[09:44:45] INFO - Epoch 36/50, Iter 67400: Loss = 0.017480308189988136, lr = 0.0001 |
|
[09:45:23] INFO - Epoch 37/50, Iter 67500: Loss = 0.025209972634911537, lr = 0.0001 |
|
[09:46:01] INFO - Epoch 37/50, Iter 67600: Loss = 0.02159825712442398, lr = 0.0001 |
|
[09:46:39] INFO - Epoch 37/50, Iter 67700: Loss = 0.023625709116458893, lr = 0.0001 |
|
[09:47:17] INFO - Epoch 37/50, Iter 67800: Loss = 0.02304173819720745, lr = 0.0001 |
|
[09:47:55] INFO - Epoch 37/50, Iter 67900: Loss = 0.027355562895536423, lr = 0.0001 |
|
[09:49:43] INFO - Epoch 37/50, Iter 68000: Loss = 0.016158344224095345, lr = 0.0001 |
|
[09:50:21] INFO - Epoch 37/50, Iter 68100: Loss = 0.028835609555244446, lr = 0.0001 |
|
[09:50:56] INFO - Epoch 37/50, Iter 68200: Loss = 0.018121257424354553, lr = 0.0001 |
|
[09:51:31] INFO - Epoch 37/50, Iter 68300: Loss = 0.02724415808916092, lr = 0.0001 |
|
[09:52:07] INFO - Epoch 37/50, Iter 68400: Loss = 0.022671695798635483, lr = 0.0001 |
|
[09:52:45] INFO - Epoch 37/50, Iter 68500: Loss = 0.03411524370312691, lr = 0.0001 |
|
[09:53:22] INFO - Epoch 37/50, Iter 68600: Loss = 0.029655056074261665, lr = 0.0001 |
|
[09:53:59] INFO - Epoch 37/50, Iter 68700: Loss = 0.01793760247528553, lr = 0.0001 |
|
[09:54:37] INFO - Epoch 37/50, Iter 68800: Loss = 0.02609744668006897, lr = 0.0001 |
|
[09:55:14] INFO - Epoch 37/50, Iter 68900: Loss = 0.02326042577624321, lr = 0.0001 |
|
[09:57:00] INFO - Epoch 37/50, Iter 69000: Loss = 0.02808242477476597, lr = 0.0001 |
|
[09:57:37] INFO - Epoch 37/50, Iter 69100: Loss = 0.018454603850841522, lr = 0.0001 |
|
[09:58:14] INFO - Epoch 37/50, Iter 69200: Loss = 0.0236714668571949, lr = 0.0001 |
|
[09:58:48] INFO - Epoch 37/50, Iter 69300: Loss = 0.02115646004676819, lr = 0.0001 |
|
[09:59:24] INFO - Epoch 38/50, Iter 69400: Loss = 0.025313185527920723, lr = 0.0001 |
|
[10:00:01] INFO - Epoch 38/50, Iter 69500: Loss = 0.017547637224197388, lr = 0.0001 |
|
[10:00:39] INFO - Epoch 38/50, Iter 69600: Loss = 0.016801120713353157, lr = 0.0001 |
|
[10:01:17] INFO - Epoch 38/50, Iter 69700: Loss = 0.028473760932683945, lr = 0.0001 |
|
[10:01:55] INFO - Epoch 38/50, Iter 69800: Loss = 0.02027265354990959, lr = 0.0001 |
|
[10:02:33] INFO - Epoch 38/50, Iter 69900: Loss = 0.02449711039662361, lr = 0.0001 |
|
[10:04:22] INFO - Epoch 38/50, Iter 70000: Loss = 0.024156518280506134, lr = 0.0001 |
|
[10:04:59] INFO - Epoch 38/50, Iter 70100: Loss = 0.020525965839624405, lr = 0.0001 |
|
[10:05:37] INFO - Epoch 38/50, Iter 70200: Loss = 0.022750582545995712, lr = 0.0001 |
|
[10:06:12] INFO - Epoch 38/50, Iter 70300: Loss = 0.020152883604168892, lr = 0.0001 |
|
[10:06:47] INFO - Epoch 38/50, Iter 70400: Loss = 0.020488817244768143, lr = 0.0001 |
|
[10:07:23] INFO - Epoch 38/50, Iter 70500: Loss = 0.02505185827612877, lr = 0.0001 |
|
[10:08:00] INFO - Epoch 38/50, Iter 70600: Loss = 0.022866712883114815, lr = 0.0001 |
|
[10:08:38] INFO - Epoch 38/50, Iter 70700: Loss = 0.015947509557008743, lr = 0.0001 |
|
[10:09:15] INFO - Epoch 38/50, Iter 70800: Loss = 0.016218503937125206, lr = 0.0001 |
|
[10:09:53] INFO - Epoch 38/50, Iter 70900: Loss = 0.02521585300564766, lr = 0.0001 |
|
[10:11:39] INFO - Epoch 38/50, Iter 71000: Loss = 0.01854109577834606, lr = 0.0001 |
|
[10:12:15] INFO - Epoch 38/50, Iter 71100: Loss = 0.019408322870731354, lr = 0.0001 |
|
[10:12:52] INFO - Epoch 38/50, Iter 71200: Loss = 0.01332402229309082, lr = 0.0001 |
|
[10:13:30] INFO - Epoch 39/50, Iter 71300: Loss = 0.02230134978890419, lr = 0.0001 |
|
[10:14:06] INFO - Epoch 39/50, Iter 71400: Loss = 0.025569632649421692, lr = 0.0001 |
|
[10:14:41] INFO - Epoch 39/50, Iter 71500: Loss = 0.025923438370227814, lr = 0.0001 |
|
[10:15:18] INFO - Epoch 39/50, Iter 71600: Loss = 0.025623483583331108, lr = 0.0001 |
|
[10:15:56] INFO - Epoch 39/50, Iter 71700: Loss = 0.02185159921646118, lr = 0.0001 |
|
[10:16:35] INFO - Epoch 39/50, Iter 71800: Loss = 0.028699517250061035, lr = 0.0001 |
|
[10:17:13] INFO - Epoch 39/50, Iter 71900: Loss = 0.020399484783411026, lr = 0.0001 |
|
[10:19:01] INFO - Epoch 39/50, Iter 72000: Loss = 0.018890781328082085, lr = 0.0001 |
|
[10:19:38] INFO - Epoch 39/50, Iter 72100: Loss = 0.019233493134379387, lr = 0.0001 |
|
[10:20:16] INFO - Epoch 39/50, Iter 72200: Loss = 0.02685868740081787, lr = 0.0001 |
|
[10:20:53] INFO - Epoch 39/50, Iter 72300: Loss = 0.01708034612238407, lr = 0.0001 |
|
[10:21:30] INFO - Epoch 39/50, Iter 72400: Loss = 0.01932934671640396, lr = 0.0001 |
|
[10:22:04] INFO - Epoch 39/50, Iter 72500: Loss = 0.01994146592915058, lr = 0.0001 |
|
[10:22:40] INFO - Epoch 39/50, Iter 72600: Loss = 0.030141036957502365, lr = 0.0001 |
|
[10:23:18] INFO - Epoch 39/50, Iter 72700: Loss = 0.01653864048421383, lr = 0.0001 |
|
[10:23:55] INFO - Epoch 39/50, Iter 72800: Loss = 0.01582333818078041, lr = 0.0001 |
|
[10:24:32] INFO - Epoch 39/50, Iter 72900: Loss = 0.030131559818983078, lr = 0.0001 |
|
[10:26:18] INFO - Epoch 39/50, Iter 73000: Loss = 0.020023521035909653, lr = 0.0001 |
|
[10:26:55] INFO - Epoch 39/50, Iter 73100: Loss = 0.023662405088543892, lr = 0.0001 |
|
[10:27:33] INFO - Epoch 40/50, Iter 73200: Loss = 0.023484613746404648, lr = 0.0001 |
|
[10:28:10] INFO - Epoch 40/50, Iter 73300: Loss = 0.017320852726697922, lr = 0.0001 |
|
[10:28:48] INFO - Epoch 40/50, Iter 73400: Loss = 0.019257768988609314, lr = 0.0001 |
|
[10:29:23] INFO - Epoch 40/50, Iter 73500: Loss = 0.026130840182304382, lr = 0.0001 |
|
[10:29:59] INFO - Epoch 40/50, Iter 73600: Loss = 0.03614780306816101, lr = 0.0001 |
|
[10:30:36] INFO - Epoch 40/50, Iter 73700: Loss = 0.025453750044107437, lr = 0.0001 |
|
[10:31:14] INFO - Epoch 40/50, Iter 73800: Loss = 0.02823317050933838, lr = 0.0001 |
|
[10:31:52] INFO - Epoch 40/50, Iter 73900: Loss = 0.0226666908711195, lr = 0.0001 |
|
[10:33:40] INFO - Epoch 40/50, Iter 74000: Loss = 0.022746136412024498, lr = 0.0001 |
|
[10:34:17] INFO - Epoch 40/50, Iter 74100: Loss = 0.01721629686653614, lr = 0.0001 |
|
[10:34:55] INFO - Epoch 40/50, Iter 74200: Loss = 0.02461112290620804, lr = 0.0001 |
|
[10:35:32] INFO - Epoch 40/50, Iter 74300: Loss = 0.024060944095253944, lr = 0.0001 |
|
[10:36:10] INFO - Epoch 40/50, Iter 74400: Loss = 0.021712781861424446, lr = 0.0001 |
|
[10:36:46] INFO - Epoch 40/50, Iter 74500: Loss = 0.015306558459997177, lr = 0.0001 |
|
[10:37:21] INFO - Epoch 40/50, Iter 74600: Loss = 0.030041517689824104, lr = 0.0001 |
|
[10:37:56] INFO - Epoch 40/50, Iter 74700: Loss = 0.01286664605140686, lr = 0.0001 |
|
[10:38:33] INFO - Epoch 40/50, Iter 74800: Loss = 0.03005480021238327, lr = 0.0001 |
|
[10:39:11] INFO - Epoch 40/50, Iter 74900: Loss = 0.017003972083330154, lr = 0.0001 |
|
[10:40:57] INFO - Epoch 41/50, Iter 75000: Loss = 0.014750601723790169, lr = 0.0001 |
|
[10:41:35] INFO - Epoch 41/50, Iter 75100: Loss = 0.027623731642961502, lr = 0.0001 |
|
[10:42:12] INFO - Epoch 41/50, Iter 75200: Loss = 0.02428785338997841, lr = 0.0001 |
|
[10:42:49] INFO - Epoch 41/50, Iter 75300: Loss = 0.020127184689044952, lr = 0.0001 |
|
[10:43:27] INFO - Epoch 41/50, Iter 75400: Loss = 0.020427513867616653, lr = 0.0001 |
|
[10:44:04] INFO - Epoch 41/50, Iter 75500: Loss = 0.015857383608818054, lr = 0.0001 |
|
[10:44:41] INFO - Epoch 41/50, Iter 75600: Loss = 0.023515712469816208, lr = 0.0001 |
|
[10:45:16] INFO - Epoch 41/50, Iter 75700: Loss = 0.021348096430301666, lr = 0.0001 |
|
[10:45:52] INFO - Epoch 41/50, Iter 75800: Loss = 0.021761475130915642, lr = 0.0001 |
|
[10:46:30] INFO - Epoch 41/50, Iter 75900: Loss = 0.02231479063630104, lr = 0.0001 |
|
[10:48:19] INFO - Epoch 41/50, Iter 76000: Loss = 0.020590530708432198, lr = 0.0001 |
|
[10:48:56] INFO - Epoch 41/50, Iter 76100: Loss = 0.025658369064331055, lr = 0.0001 |
|
[10:49:34] INFO - Epoch 41/50, Iter 76200: Loss = 0.018263330683112144, lr = 0.0001 |
|
[10:50:11] INFO - Epoch 41/50, Iter 76300: Loss = 0.02799496240913868, lr = 0.0001 |
|
[10:50:49] INFO - Epoch 41/50, Iter 76400: Loss = 0.020270638167858124, lr = 0.0001 |
|
[10:51:26] INFO - Epoch 41/50, Iter 76500: Loss = 0.025936413556337357, lr = 0.0001 |
|
[10:52:03] INFO - Epoch 41/50, Iter 76600: Loss = 0.012957521714270115, lr = 0.0001 |
|
[10:52:38] INFO - Epoch 41/50, Iter 76700: Loss = 0.014417669735848904, lr = 0.0001 |
|
[10:53:13] INFO - Epoch 41/50, Iter 76800: Loss = 0.01625163108110428, lr = 0.0001 |
|
[10:53:51] INFO - Epoch 42/50, Iter 76900: Loss = 0.022058110684156418, lr = 0.0001 |
|
[10:55:36] INFO - Epoch 42/50, Iter 77000: Loss = 0.017570260912179947, lr = 0.0001 |
|
[10:56:13] INFO - Epoch 42/50, Iter 77100: Loss = 0.020291034132242203, lr = 0.0001 |
|
[10:56:50] INFO - Epoch 42/50, Iter 77200: Loss = 0.035155974328517914, lr = 0.0001 |
|
[10:57:27] INFO - Epoch 42/50, Iter 77300: Loss = 0.03369952365756035, lr = 0.0001 |
|
[10:58:04] INFO - Epoch 42/50, Iter 77400: Loss = 0.032326798886060715, lr = 0.0001 |
|
[10:58:40] INFO - Epoch 42/50, Iter 77500: Loss = 0.018110264092683792, lr = 0.0001 |
|
[10:59:17] INFO - Epoch 42/50, Iter 77600: Loss = 0.018036026507616043, lr = 0.0001 |
|
[10:59:54] INFO - Epoch 42/50, Iter 77700: Loss = 0.019200392067432404, lr = 0.0001 |
|
[11:00:28] INFO - Epoch 42/50, Iter 77800: Loss = 0.0195014625787735, lr = 0.0001 |
|
[11:01:03] INFO - Epoch 42/50, Iter 77900: Loss = 0.023430032655596733, lr = 0.0001 |
|
[11:02:51] INFO - Epoch 42/50, Iter 78000: Loss = 0.02310262620449066, lr = 0.0001 |
|
[11:03:28] INFO - Epoch 42/50, Iter 78100: Loss = 0.02130754664540291, lr = 0.0001 |
|
[11:04:06] INFO - Epoch 42/50, Iter 78200: Loss = 0.01928720250725746, lr = 0.0001 |
|
[11:04:43] INFO - Epoch 42/50, Iter 78300: Loss = 0.017581766471266747, lr = 0.0001 |
|
[11:05:21] INFO - Epoch 42/50, Iter 78400: Loss = 0.021702248603105545, lr = 0.0001 |
|
[11:05:58] INFO - Epoch 42/50, Iter 78500: Loss = 0.022716041654348373, lr = 0.0001 |
|
[11:06:35] INFO - Epoch 42/50, Iter 78600: Loss = 0.026689473539590836, lr = 0.0001 |
|
[11:07:13] INFO - Epoch 42/50, Iter 78700: Loss = 0.025399215519428253, lr = 0.0001 |
|
[11:07:49] INFO - Epoch 43/50, Iter 78800: Loss = 0.023977046832442284, lr = 0.0001 |
|
[11:08:25] INFO - Epoch 43/50, Iter 78900: Loss = 0.03005555458366871, lr = 0.0001 |
|
[11:10:10] INFO - Epoch 43/50, Iter 79000: Loss = 0.022378981113433838, lr = 0.0001 |
|
[11:10:46] INFO - Epoch 43/50, Iter 79100: Loss = 0.025676846504211426, lr = 0.0001 |
|
[11:11:23] INFO - Epoch 43/50, Iter 79200: Loss = 0.018473926931619644, lr = 0.0001 |
|
[11:12:00] INFO - Epoch 43/50, Iter 79300: Loss = 0.029371149837970734, lr = 0.0001 |
|
[11:12:37] INFO - Epoch 43/50, Iter 79400: Loss = 0.015338984318077564, lr = 0.0001 |
|
[11:13:14] INFO - Epoch 43/50, Iter 79500: Loss = 0.030672969296574593, lr = 0.0001 |
|
[11:13:50] INFO - Epoch 43/50, Iter 79600: Loss = 0.013775693252682686, lr = 0.0001 |
|
[11:14:27] INFO - Epoch 43/50, Iter 79700: Loss = 0.028863955289125443, lr = 0.0001 |
|
[11:15:04] INFO - Epoch 43/50, Iter 79800: Loss = 0.027279574424028397, lr = 0.0001 |
|
[11:15:39] INFO - Epoch 43/50, Iter 79900: Loss = 0.02491520531475544, lr = 0.0001 |
|
[11:17:23] INFO - Epoch 43/50, Iter 80000: Loss = 0.022316288203001022, lr = 0.0001 |
|
[11:18:01] INFO - Epoch 43/50, Iter 80100: Loss = 0.02023676037788391, lr = 0.0001 |
|
[11:18:38] INFO - Epoch 43/50, Iter 80200: Loss = 0.020290840417146683, lr = 0.0001 |
|
[11:19:16] INFO - Epoch 43/50, Iter 80300: Loss = 0.01622021570801735, lr = 0.0001 |
|
[11:19:53] INFO - Epoch 43/50, Iter 80400: Loss = 0.021102596074342728, lr = 0.0001 |
|
[11:20:31] INFO - Epoch 43/50, Iter 80500: Loss = 0.029457077383995056, lr = 0.0001 |
|
[11:21:08] INFO - Epoch 43/50, Iter 80600: Loss = 0.024694763123989105, lr = 0.0001 |
|
[11:21:47] INFO - Epoch 44/50, Iter 80700: Loss = 0.012608902528882027, lr = 0.0001 |
|
[11:22:24] INFO - Epoch 44/50, Iter 80800: Loss = 0.024759817868471146, lr = 0.0001 |
|
[11:23:01] INFO - Epoch 44/50, Iter 80900: Loss = 0.027624113485217094, lr = 0.0001 |
|
[11:24:44] INFO - Epoch 44/50, Iter 81000: Loss = 0.02646869421005249, lr = 0.0001 |
|
[11:25:22] INFO - Epoch 44/50, Iter 81100: Loss = 0.017517074942588806, lr = 0.0001 |
|
[11:25:59] INFO - Epoch 44/50, Iter 81200: Loss = 0.009943831712007523, lr = 0.0001 |
|
[11:26:37] INFO - Epoch 44/50, Iter 81300: Loss = 0.015972964465618134, lr = 0.0001 |
|
[11:27:14] INFO - Epoch 44/50, Iter 81400: Loss = 0.017368219792842865, lr = 0.0001 |
|
[11:27:51] INFO - Epoch 44/50, Iter 81500: Loss = 0.018138565123081207, lr = 0.0001 |
|
[11:28:29] INFO - Epoch 44/50, Iter 81600: Loss = 0.02059100940823555, lr = 0.0001 |
|
[11:29:06] INFO - Epoch 44/50, Iter 81700: Loss = 0.017378471791744232, lr = 0.0001 |
|
[11:29:44] INFO - Epoch 44/50, Iter 81800: Loss = 0.023443616926670074, lr = 0.0001 |
|
[11:30:21] INFO - Epoch 44/50, Iter 81900: Loss = 0.024056710302829742, lr = 0.0001 |
|
[11:32:03] INFO - Epoch 44/50, Iter 82000: Loss = 0.015559646300971508, lr = 0.0001 |
|
[11:32:41] INFO - Epoch 44/50, Iter 82100: Loss = 0.015559978783130646, lr = 0.0001 |
|
[11:33:18] INFO - Epoch 44/50, Iter 82200: Loss = 0.02814953401684761, lr = 0.0001 |
|
[11:33:56] INFO - Epoch 44/50, Iter 82300: Loss = 0.02466312237083912, lr = 0.0001 |
|
[11:34:33] INFO - Epoch 44/50, Iter 82400: Loss = 0.017446378245949745, lr = 0.0001 |
|
[11:35:11] INFO - Epoch 45/50, Iter 82500: Loss = 0.019831202924251556, lr = 0.0001 |
|
[11:35:50] INFO - Epoch 45/50, Iter 82600: Loss = 0.016719266772270203, lr = 0.0001 |
|
[11:36:28] INFO - Epoch 45/50, Iter 82700: Loss = 0.01663721725344658, lr = 0.0001 |
|
[11:37:05] INFO - Epoch 45/50, Iter 82800: Loss = 0.024095885455608368, lr = 0.0001 |
|
[11:37:42] INFO - Epoch 45/50, Iter 82900: Loss = 0.022868715226650238, lr = 0.0001 |
|
[11:39:25] INFO - Epoch 45/50, Iter 83000: Loss = 0.022109508514404297, lr = 0.0001 |
|
[11:40:02] INFO - Epoch 45/50, Iter 83100: Loss = 0.023459019139409065, lr = 0.0001 |
|
[11:40:39] INFO - Epoch 45/50, Iter 83200: Loss = 0.03357243910431862, lr = 0.0001 |
|
[11:41:17] INFO - Epoch 45/50, Iter 83300: Loss = 0.01947803422808647, lr = 0.0001 |
|
[11:41:54] INFO - Epoch 45/50, Iter 83400: Loss = 0.014463461935520172, lr = 0.0001 |
|
[11:42:32] INFO - Epoch 45/50, Iter 83500: Loss = 0.017590757459402084, lr = 0.0001 |
|
[11:43:09] INFO - Epoch 45/50, Iter 83600: Loss = 0.012953747063875198, lr = 0.0001 |
|
[11:43:47] INFO - Epoch 45/50, Iter 83700: Loss = 0.011775579303503036, lr = 0.0001 |
|
[11:44:24] INFO - Epoch 45/50, Iter 83800: Loss = 0.033017270267009735, lr = 0.0001 |
|
[11:45:01] INFO - Epoch 45/50, Iter 83900: Loss = 0.012742359191179276, lr = 0.0001 |
|
[11:46:45] INFO - Epoch 45/50, Iter 84000: Loss = 0.019268862903118134, lr = 0.0001 |
|
[11:47:21] INFO - Epoch 45/50, Iter 84100: Loss = 0.020279936492443085, lr = 0.0001 |
|
[11:47:59] INFO - Epoch 45/50, Iter 84200: Loss = 0.01858804188668728, lr = 0.0001 |
|
[11:48:36] INFO - Epoch 45/50, Iter 84300: Loss = 0.014711486175656319, lr = 0.0001 |
|
[11:49:14] INFO - Epoch 46/50, Iter 84400: Loss = 0.020954683423042297, lr = 0.0001 |
|
[11:49:52] INFO - Epoch 46/50, Iter 84500: Loss = 0.02662809006869793, lr = 0.0001 |
|
[11:50:30] INFO - Epoch 46/50, Iter 84600: Loss = 0.021922439336776733, lr = 0.0001 |
|
[11:51:08] INFO - Epoch 46/50, Iter 84700: Loss = 0.021114500239491463, lr = 0.0001 |
|
[11:51:45] INFO - Epoch 46/50, Iter 84800: Loss = 0.017373420298099518, lr = 0.0001 |
|
[11:52:23] INFO - Epoch 46/50, Iter 84900: Loss = 0.020827889442443848, lr = 0.0001 |
|
[11:54:07] INFO - Epoch 46/50, Iter 85000: Loss = 0.0218573696911335, lr = 0.0001 |
|
[11:54:42] INFO - Epoch 46/50, Iter 85100: Loss = 0.019245875999331474, lr = 0.0001 |
|
[11:55:19] INFO - Epoch 46/50, Iter 85200: Loss = 0.017498616129159927, lr = 0.0001 |
|
[11:55:57] INFO - Epoch 46/50, Iter 85300: Loss = 0.0184156596660614, lr = 0.0001 |
|
[11:56:34] INFO - Epoch 46/50, Iter 85400: Loss = 0.02401101216673851, lr = 0.0001 |
|
[11:57:12] INFO - Epoch 46/50, Iter 85500: Loss = 0.018305890262126923, lr = 0.0001 |
|
[11:57:49] INFO - Epoch 46/50, Iter 85600: Loss = 0.03495640307664871, lr = 0.0001 |
|
[11:58:27] INFO - Epoch 46/50, Iter 85700: Loss = 0.021866515278816223, lr = 0.0001 |
|
[11:59:04] INFO - Epoch 46/50, Iter 85800: Loss = 0.035283900797367096, lr = 0.0001 |
|
[11:59:42] INFO - Epoch 46/50, Iter 85900: Loss = 0.020653875544667244, lr = 0.0001 |
|
[12:01:28] INFO - Epoch 46/50, Iter 86000: Loss = 0.016537442803382874, lr = 0.0001 |
|
[12:02:03] INFO - Epoch 46/50, Iter 86100: Loss = 0.0210992731153965, lr = 0.0001 |
|
[12:02:39] INFO - Epoch 46/50, Iter 86200: Loss = 0.023491602391004562, lr = 0.0001 |
|
[12:03:17] INFO - Epoch 47/50, Iter 86300: Loss = 0.02632911317050457, lr = 0.0001 |
|
[12:03:55] INFO - Epoch 47/50, Iter 86400: Loss = 0.022847235202789307, lr = 0.0001 |
|
[12:04:33] INFO - Epoch 47/50, Iter 86500: Loss = 0.018759798258543015, lr = 0.0001 |
|
[12:05:11] INFO - Epoch 47/50, Iter 86600: Loss = 0.01871965453028679, lr = 0.0001 |
|
[12:05:49] INFO - Epoch 47/50, Iter 86700: Loss = 0.01559593714773655, lr = 0.0001 |
|
[12:06:26] INFO - Epoch 47/50, Iter 86800: Loss = 0.021482981741428375, lr = 0.0001 |
|
[12:07:03] INFO - Epoch 47/50, Iter 86900: Loss = 0.01850007474422455, lr = 0.0001 |
|
[12:08:50] INFO - Epoch 47/50, Iter 87000: Loss = 0.016197603195905685, lr = 0.0001 |
|
[12:09:25] INFO - Epoch 47/50, Iter 87100: Loss = 0.0179985873401165, lr = 0.0001 |
|
[12:09:59] INFO - Epoch 47/50, Iter 87200: Loss = 0.017149612307548523, lr = 0.0001 |
|
[12:10:36] INFO - Epoch 47/50, Iter 87300: Loss = 0.019468747079372406, lr = 0.0001 |
|
[12:11:14] INFO - Epoch 47/50, Iter 87400: Loss = 0.022250430658459663, lr = 0.0001 |
|
[12:11:51] INFO - Epoch 47/50, Iter 87500: Loss = 0.02432246319949627, lr = 0.0001 |
|
[12:12:29] INFO - Epoch 47/50, Iter 87600: Loss = 0.016115814447402954, lr = 0.0001 |
|
[12:13:06] INFO - Epoch 47/50, Iter 87700: Loss = 0.016428790986537933, lr = 0.0001 |
|
[12:13:44] INFO - Epoch 47/50, Iter 87800: Loss = 0.027514930814504623, lr = 0.0001 |
|
[12:14:21] INFO - Epoch 47/50, Iter 87900: Loss = 0.020233802497386932, lr = 0.0001 |
|
[12:16:09] INFO - Epoch 47/50, Iter 88000: Loss = 0.019230294972658157, lr = 0.0001 |
|
[12:16:45] INFO - Epoch 47/50, Iter 88100: Loss = 0.026008252054452896, lr = 0.0001 |
|
[12:17:21] INFO - Epoch 48/50, Iter 88200: Loss = 0.022319599986076355, lr = 0.0001 |
|
[12:17:57] INFO - Epoch 48/50, Iter 88300: Loss = 0.015480638481676579, lr = 0.0001 |
|
[12:18:35] INFO - Epoch 48/50, Iter 88400: Loss = 0.02278859168291092, lr = 0.0001 |
|
[12:19:14] INFO - Epoch 48/50, Iter 88500: Loss = 0.017225494608283043, lr = 0.0001 |
|
[12:19:52] INFO - Epoch 48/50, Iter 88600: Loss = 0.024317804723978043, lr = 0.0001 |
|
[12:20:29] INFO - Epoch 48/50, Iter 88700: Loss = 0.020604224875569344, lr = 0.0001 |
|
[12:21:06] INFO - Epoch 48/50, Iter 88800: Loss = 0.01731717586517334, lr = 0.0001 |
|
[12:21:44] INFO - Epoch 48/50, Iter 88900: Loss = 0.018329227343201637, lr = 0.0001 |
|
[12:23:30] INFO - Epoch 48/50, Iter 89000: Loss = 0.018779577687382698, lr = 0.0001 |
|
[12:24:07] INFO - Epoch 48/50, Iter 89100: Loss = 0.028485845774412155, lr = 0.0001 |
|
[12:24:42] INFO - Epoch 48/50, Iter 89200: Loss = 0.022587072104215622, lr = 0.0001 |
|
[12:25:17] INFO - Epoch 48/50, Iter 89300: Loss = 0.02194858342409134, lr = 0.0001 |
|
[12:25:53] INFO - Epoch 48/50, Iter 89400: Loss = 0.016873138025403023, lr = 0.0001 |
|
[12:26:31] INFO - Epoch 48/50, Iter 89500: Loss = 0.024464264512062073, lr = 0.0001 |
|
[12:27:08] INFO - Epoch 48/50, Iter 89600: Loss = 0.02444087527692318, lr = 0.0001 |
|
[12:27:46] INFO - Epoch 48/50, Iter 89700: Loss = 0.01770823448896408, lr = 0.0001 |
|
[12:28:23] INFO - Epoch 48/50, Iter 89800: Loss = 0.019991975277662277, lr = 0.0001 |
|
[12:29:00] INFO - Epoch 48/50, Iter 89900: Loss = 0.022915782406926155, lr = 0.0001 |
|
[12:30:49] INFO - Epoch 49/50, Iter 90000: Loss = 0.02480982430279255, lr = 0.0001 |
|
[12:31:27] INFO - Epoch 49/50, Iter 90100: Loss = 0.018983453512191772, lr = 0.0001 |
|
[12:32:04] INFO - Epoch 49/50, Iter 90200: Loss = 0.018778514117002487, lr = 0.0001 |
|
[12:32:39] INFO - Epoch 49/50, Iter 90300: Loss = 0.018759869039058685, lr = 0.0001 |
|
[12:33:15] INFO - Epoch 49/50, Iter 90400: Loss = 0.020022587850689888, lr = 0.0001 |
|
[12:33:53] INFO - Epoch 49/50, Iter 90500: Loss = 0.02239784598350525, lr = 0.0001 |
|
[12:34:31] INFO - Epoch 49/50, Iter 90600: Loss = 0.021786922588944435, lr = 0.0001 |
|
[12:35:08] INFO - Epoch 49/50, Iter 90700: Loss = 0.021193988621234894, lr = 0.0001 |
|
[12:35:46] INFO - Epoch 49/50, Iter 90800: Loss = 0.019572975113987923, lr = 0.0001 |
|
[12:36:23] INFO - Epoch 49/50, Iter 90900: Loss = 0.016485311090946198, lr = 0.0001 |
|
[12:38:09] INFO - Epoch 49/50, Iter 91000: Loss = 0.021967381238937378, lr = 0.0001 |
|
[12:38:46] INFO - Epoch 49/50, Iter 91100: Loss = 0.018237147480249405, lr = 0.0001 |
|
[12:39:23] INFO - Epoch 49/50, Iter 91200: Loss = 0.01905180886387825, lr = 0.0001 |
|
[12:39:59] INFO - Epoch 49/50, Iter 91300: Loss = 0.02382483333349228, lr = 0.0001 |
|
[12:40:33] INFO - Epoch 49/50, Iter 91400: Loss = 0.02098831906914711, lr = 0.0001 |
|
[12:41:09] INFO - Epoch 49/50, Iter 91500: Loss = 0.02765822224318981, lr = 0.0001 |
|
[12:41:47] INFO - Epoch 49/50, Iter 91600: Loss = 0.023272905498743057, lr = 0.0001 |
|
[12:42:24] INFO - Epoch 49/50, Iter 91700: Loss = 0.02188965119421482, lr = 0.0001 |
|
[12:43:02] INFO - Epoch 49/50, Iter 91800: Loss = 0.026097562164068222, lr = 0.0001 |
|
[12:43:40] INFO - Epoch 50/50, Iter 91900: Loss = 0.018962332978844643, lr = 0.0001 |
|
[12:45:28] INFO - Epoch 50/50, Iter 92000: Loss = 0.02291695959866047, lr = 0.0001 |
|
[12:46:05] INFO - Epoch 50/50, Iter 92100: Loss = 0.033082619309425354, lr = 0.0001 |
|
[12:46:43] INFO - Epoch 50/50, Iter 92200: Loss = 0.030323170125484467, lr = 0.0001 |
|
[12:47:20] INFO - Epoch 50/50, Iter 92300: Loss = 0.022696129977703094, lr = 0.0001 |
|
[12:47:55] INFO - Epoch 50/50, Iter 92400: Loss = 0.020445533096790314, lr = 0.0001 |
|
[12:48:29] INFO - Epoch 50/50, Iter 92500: Loss = 0.02273436076939106, lr = 0.0001 |
|
[12:49:07] INFO - Epoch 50/50, Iter 92600: Loss = 0.021798046305775642, lr = 0.0001 |
|
[12:49:43] INFO - Epoch 50/50, Iter 92700: Loss = 0.02120419591665268, lr = 0.0001 |
|
[12:50:20] INFO - Epoch 50/50, Iter 92800: Loss = 0.027433019131422043, lr = 0.0001 |
|
[12:50:57] INFO - Epoch 50/50, Iter 92900: Loss = 0.025116585195064545, lr = 0.0001 |
|
[12:52:42] INFO - Epoch 50/50, Iter 93000: Loss = 0.02106088027358055, lr = 0.0001 |
|
[12:53:19] INFO - Epoch 50/50, Iter 93100: Loss = 0.016250556334853172, lr = 0.0001 |
|
[12:53:56] INFO - Epoch 50/50, Iter 93200: Loss = 0.016655270010232925, lr = 0.0001 |
|
[12:54:33] INFO - Epoch 50/50, Iter 93300: Loss = 0.020460784435272217, lr = 0.0001 |
|
[12:55:10] INFO - Epoch 50/50, Iter 93400: Loss = 0.02524268440902233, lr = 0.0001 |
|
[12:55:44] INFO - Epoch 50/50, Iter 93500: Loss = 0.01436917670071125, lr = 0.0001 |
|
[12:56:19] INFO - Epoch 50/50, Iter 93600: Loss = 0.019781406968832016, lr = 0.0001 |
|
[12:56:56] INFO - Epoch 50/50, Iter 93700: Loss = 0.01460881344974041, lr = 0.0001 |
|
|