train_log.txt

Epoch 1.000, lr 0.00100, time 858.58
loss 0.9354 0.1992 0.7363, ade1 3.7694, fde1 8.4969, ade 1.5336, fde 2.9085

Epoch 2.000, lr 0.00100, time 869.83
loss 0.6397 0.1997 0.4400, ade1 3.0807, fde1 7.1306, ade 1.0177, fde 1.7501

************************* Validation, time 60.16 *************************
loss 0.5938 0.1931 0.4007, ade1 2.4267, fde1 5.5828, ade 0.8683, fde 1.4735

Epoch 3.000, lr 0.00100, time 941.16
loss 0.6033 0.1999 0.4034, ade1 2.4569, fde1 5.6234, ade 0.9469, fde 1.5768

Epoch 4.000, lr 0.00100, time 869.46
loss 0.5837 0.2000 0.3838, ade1 2.2020, fde1 4.9905, ade 0.9118, fde 1.4911

************************* Validation, time 60.74 *************************
loss 0.5560 0.1870 0.3690, ade1 1.8629, fde1 4.2484, ade 0.8292, fde 1.3416

Epoch 5.000, lr 0.00100, time 933.82
loss 0.5703 0.2000 0.3703, ade1 2.0579, fde1 4.6339, ade 0.8883, fde 1.4322

Epoch 6.000, lr 0.00100, time 874.48
loss 0.5603 0.1999 0.3603, ade1 1.9782, fde1 4.4291, ade 0.8703, fde 1.3897

************************* Validation, time 59.59 *************************
loss 0.5542 0.2063 0.3479, ade1 1.6994, fde1 3.7934, ade 0.8026, fde 1.3004

Epoch 7.000, lr 0.00100, time 936.98
loss 0.5527 0.2000 0.3527, ade1 1.9159, fde1 4.2806, ade 0.8549, fde 1.3572

Epoch 8.000, lr 0.00100, time 869.86
loss 0.5457 0.2000 0.3457, ade1 1.8679, fde1 4.1627, ade 0.8425, fde 1.3243

************************* Validation, time 59.01 *************************
loss 0.5357 0.1937 0.3420, ade1 1.5912, fde1 3.5031, ade 0.7947, fde 1.2737

Epoch 9.000, lr 0.00100, time 932.19
loss 0.5401 0.2000 0.3402, ade1 1.8326, fde1 4.0816, ade 0.8340, fde 1.3056

Epoch 10.000, lr 0.00100, time 868.37
loss 0.5349 0.2001 0.3348, ade1 1.7978, fde1 3.9993, ade 0.8218, fde 1.2800

************************* Validation, time 61.20 *************************
loss 0.5284 0.1926 0.3358, ade1 1.6030, fde1 3.5616, ade 0.7786, fde 1.2308

Epoch 11.000, lr 0.00100, time 936.23
loss 0.5305 0.2001 0.3304, ade1 1.7662, fde1 3.9290, ade 0.8136, fde 1.2646

Epoch 12.000, lr 0.00100, time 874.14
loss 0.5259 0.2001 0.3258, ade1 1.7239, fde1 3.8342, ade 0.8060, fde 1.2471

************************* Validation, time 58.95 *************************
loss 0.5152 0.1881 0.3271, ade1 1.5154, fde1 3.3113, ade 0.7762, fde 1.2125

Epoch 13.000, lr 0.00100, time 939.20
loss 0.5222 0.2000 0.3222, ade1 1.7176, fde1 3.8188, ade 0.8010, fde 1.2357

Epoch 14.000, lr 0.00100, time 869.97
loss 0.5192 0.2001 0.3192, ade1 1.6971, fde1 3.7742, ade 0.7948, fde 1.2241

************************* Validation, time 59.45 *************************
loss 0.5212 0.2020 0.3192, ade1 1.6204, fde1 3.6108, ade 0.7486, fde 1.1719

Epoch 15.000, lr 0.00100, time 933.77
loss 0.5157 0.2001 0.3155, ade1 1.6725, fde1 3.7166, ade 0.7891, fde 1.2122

Epoch 16.000, lr 0.00100, time 874.39
loss 0.5120 0.2002 0.3119, ade1 1.6534, fde1 3.6777, ade 0.7813, fde 1.1980

************************* Validation, time 70.30 *************************
loss 0.5194 0.1930 0.3264, ade1 1.5341, fde1 3.3965, ade 0.7552, fde 1.1770

Epoch 17.000, lr 0.00100, time 942.85
loss 0.5095 0.2001 0.3094, ade1 1.6459, fde1 3.6568, ade 0.7765, fde 1.1880

Epoch 18.000, lr 0.00100, time 871.63
loss 0.5069 0.2001 0.3068, ade1 1.6239, fde1 3.6140, ade 0.7735, fde 1.1825

************************* Validation, time 61.05 *************************
loss 0.5126 0.1961 0.3165, ade1 1.4201, fde1 3.1182, ade 0.7482, fde 1.1676

Epoch 19.000, lr 0.00100, time 934.17
loss 0.5041 0.2001 0.3040, ade1 1.6166, fde1 3.5967, ade 0.7686, fde 1.1730

Epoch 20.000, lr 0.00100, time 872.52
loss 0.5018 0.2001 0.3016, ade1 1.5967, fde1 3.5560, ade 0.7638, fde 1.1651

************************* Validation, time 58.93 *************************
loss 0.5070 0.1939 0.3131, ade1 1.4509, fde1 3.2033, ade 0.7442, fde 1.1626

Epoch 21.000, lr 0.00100, time 935.00
loss 0.4997 0.2002 0.2995, ade1 1.5947, fde1 3.5529, ade 0.7605, fde 1.1583

Epoch 22.000, lr 0.00100, time 867.73
loss 0.4967 0.2001 0.2966, ade1 1.5822, fde1 3.5259, ade 0.7554, fde 1.1499

************************* Validation, time 64.90 *************************
loss 0.5121 0.1959 0.3162, ade1 1.4208, fde1 3.1232, ade 0.7420, fde 1.1382

Epoch 23.000, lr 0.00100, time 937.48
loss 0.4945 0.2001 0.2944, ade1 1.5671, fde1 3.4958, ade 0.7512, fde 1.1460

Epoch 24.000, lr 0.00100, time 868.69
loss 0.4918 0.2001 0.2917, ade1 1.5591, fde1 3.4815, ade 0.7465, fde 1.1335

************************* Validation, time 61.05 *************************
loss 0.5138 0.2023 0.3115, ade1 1.4316, fde1 3.1568, ade 0.7399, fde 1.1503

Epoch 25.000, lr 0.00100, time 932.12
loss 0.4898 0.2002 0.2896, ade1 1.5522, fde1 3.4699, ade 0.7411, fde 1.1271

Epoch 26.000, lr 0.00100, time 872.35
loss 0.4875 0.2001 0.2874, ade1 1.5397, fde1 3.4446, ade 0.7377, fde 1.1193

************************* Validation, time 59.24 *************************
loss 0.5098 0.2013 0.3085, ade1 1.4008, fde1 3.0835, ade 0.7209, fde 1.0970

Epoch 27.000, lr 0.00100, time 930.66
loss 0.4854 0.2001 0.2853, ade1 1.5203, fde1 3.4032, ade 0.7332, fde 1.1129

Epoch 28.000, lr 0.00100, time 870.05
loss 0.4835 0.2002 0.2833, ade1 1.5202, fde1 3.4032, ade 0.7304, fde 1.1077

************************* Validation, time 59.00 *************************
loss 0.5140 0.2022 0.3118, ade1 1.4088, fde1 3.0803, ade 0.7257, fde 1.1122

Epoch 29.000, lr 0.00100, time 941.55
loss 0.4816 0.2001 0.2815, ade1 1.5114, fde1 3.3906, ade 0.7268, fde 1.1011

Epoch 30.000, lr 0.00100, time 874.85
loss 0.4798 0.2002 0.2797, ade1 1.5029, fde1 3.3731, ade 0.7241, fde 1.0968

************************* Validation, time 60.78 *************************
loss 0.5148 0.2035 0.3113, ade1 1.3923, fde1 3.0425, ade 0.7311, fde 1.1201

Epoch 31.000, lr 0.00100, time 936.34
loss 0.4777 0.2001 0.2776, ade1 1.4959, fde1 3.3570, ade 0.7189, fde 1.0868

Epoch 32.000, lr 0.00010, time 870.63
loss 0.4761 0.2002 0.2759, ade1 1.4886, fde1 3.3450, ade 0.7164, fde 1.0833

************************* Validation, time 63.37 *************************
loss 0.5071 0.1965 0.3106, ade1 1.3760, fde1 3.0242, ade 0.7219, fde 1.1069

Epoch 33.000, lr 0.00010, time 933.94
loss 0.4568 0.1999 0.2569, ade1 1.4063, fde1 3.1764, ade 0.6789, fde 1.0145

Epoch 34.000, lr 0.00010, time 871.40
loss 0.4509 0.2000 0.2509, ade1 1.3905, fde1 3.1465, ade 0.6680, fde 0.9944

************************* Validation, time 58.85 *************************
loss 0.5059 0.2019 0.3041, ade1 1.3450, fde1 2.9571, ade 0.7106, fde 1.0748

Epoch 35.000, lr 0.00010, time 931.43
loss 0.4477 0.2000 0.2476, ade1 1.3808, fde1 3.1278, ade 0.6623, fde 0.9820

Epoch 36.000, lr 0.00010, time 870.28
loss 0.4448 0.2001 0.2447, ade1 1.3760, fde1 3.1199, ade 0.6575, fde 0.9728

************************* Validation, time 67.48 *************************
loss 0.5090 0.2047 0.3043, ade1 1.3453, fde1 2.9625, ade 0.7103, fde 1.0747

Epoch 37.000, lr 0.00010, time 938.41
loss 0.4423 0.2001 0.2423, ade1 1.3701, fde1 3.1086, ade 0.6533, fde 0.9643

Epoch 38.000, lr 0.00010, time 870.21
loss 0.4401 0.2001 0.2400, ade1 1.3666, fde1 3.1023, ade 0.6492, fde 0.9567

************************* Validation, time 59.19 *************************
loss 0.5069 0.2016 0.3053, ade1 1.3528, fde1 2.9738, ade 0.7133, fde 1.0760

Epoch 39.000, lr 0.00010, time 931.91
loss 0.4380 0.2001 0.2380, ade1 1.3628, fde1 3.0960, ade 0.6459, fde 0.9493

Epoch 40.000, lr 0.00010, time 871.70
loss 0.4362 0.2001 0.2361, ade1 1.3596, fde1 3.0908, ade 0.6428, fde 0.9422

************************* Validation, time 58.53 *************************
loss 0.5093 0.2031 0.3062, ade1 1.3523, fde1 2.9719, ade 0.7122, fde 1.0733

Epoch 41.000, lr 0.00010, time 931.72
loss 0.4345 0.2001 0.2344, ade1 1.3558, fde1 3.0825, ade 0.6399, fde 0.9363

Epoch 42.000, lr 0.00010, time 870.22
loss 0.4329 0.2000 0.2328, ade1 1.3524, fde1 3.0767, ade 0.6370, fde 0.9301

************************* Validation, time 60.66 *************************
loss 0.5080 0.2022 0.3059, ade1 1.3467, fde1 2.9606, ade 0.7116, fde 1.0753

Epoch 43.000, lr 0.00010, time 933.17
loss 0.4314 0.2001 0.2313, ade1 1.3499, fde1 3.0724, ade 0.6346, fde 0.9259

Epoch 44.000, lr 0.00010, time 873.73
loss 0.4299 0.2001 0.2298, ade1 1.3458, fde1 3.0642, ade 0.6319, fde 0.9203

************************* Validation, time 59.45 *************************
loss 0.5102 0.2035 0.3067, ade1 1.3530, fde1 2.9736, ade 0.7129, fde 1.0770

Epoch 45.000, lr 0.00010, time 937.83
loss 0.4285 0.2001 0.2284, ade1 1.3438, fde1 3.0607, ade 0.6298, fde 0.9156

Epoch 46.000, lr 0.00010, time 873.48
loss 0.4273 0.2001 0.2272, ade1 1.3416, fde1 3.0581, ade 0.6266, fde 0.9089

************************* Validation, time 59.35 *************************
loss 0.5116 0.2035 0.3081, ade1 1.3524, fde1 2.9728, ade 0.7150, fde 1.0779

Epoch 1.000, lr 0.00100, time 2747.91
loss 0.8146 0.1996 0.6150, ade1 3.7563, fde1 8.5508, ade 1.3427, fde 2.5144

Epoch 2.000, lr 0.00100, time 2749.71
loss 0.6300 0.1998 0.4302, ade1 2.5975, fde1 5.9486, ade 1.0022, fde 1.7027

************************* Validation, time 236.09 *************************
loss 0.5934 0.1954 0.3980, ade1 2.0351, fde1 4.5636, ade 0.8969, fde 1.4724

Epoch 3.000, lr 0.00100, time 2952.30
loss 0.5946 0.2000 0.3946, ade1 2.2122, fde1 5.0070, ade 0.9318, fde 1.5338

Epoch 4.000, lr 0.00100, time 2712.59
loss 0.5761 0.2000 0.3761, ade1 2.0779, fde1 4.6839, ade 0.8996, fde 1.4556

************************* Validation, time 228.34 *************************
loss 0.5693 0.2061 0.3632, ade1 1.7947, fde1 4.0596, ade 0.8103, fde 1.3016

Epoch 5.000, lr 0.00100, time 2942.01
loss 0.5632 0.2001 0.3632, ade1 1.9792, fde1 4.4450, ade 0.8757, fde 1.4020

Epoch 6.000, lr 0.00100, time 2717.41
loss 0.5540 0.2001 0.3539, ade1 1.9114, fde1 4.2800, ade 0.8601, fde 1.3680

************************* Validation, time 227.89 *************************
loss 0.5352 0.1919 0.3433, ade1 1.6320, fde1 3.6372, ade 0.7864, fde 1.2721

Epoch 7.000, lr 0.00100, time 2944.47
loss 0.5468 0.2001 0.3467, ade1 1.8486, fde1 4.1289, ade 0.8472, fde 1.3435

Epoch 8.000, lr 0.00100, time 2713.49
loss 0.5405 0.2002 0.3404, ade1 1.8162, fde1 4.0490, ade 0.8351, fde 1.3155

************************* Validation, time 227.47 *************************
loss 0.5265 0.1967 0.3298, ade1 1.5049, fde1 3.3498, ade 0.7657, fde 1.2257

Epoch 9.000, lr 0.00100, time 2940.85
loss 0.5346 0.2002 0.3344, ade1 1.7723, fde1 3.9526, ade 0.8241, fde 1.2937

Epoch 10.000, lr 0.00100, time 2709.32
loss 0.5301 0.2002 0.3299, ade1 1.7469, fde1 3.8901, ade 0.8161, fde 1.2754

************************* Validation, time 229.18 *************************
loss 0.5244 0.1962 0.3282, ade1 1.5481, fde1 3.4591, ade 0.7608, fde 1.2074

Epoch 11.000, lr 0.00100, time 2939.12
loss 0.5255 0.2002 0.3254, ade1 1.7208, fde1 3.8338, ade 0.8087, fde 1.2637

Epoch 12.000, lr 0.00100, time 2714.07
loss 0.5220 0.2002 0.3218, ade1 1.7021, fde1 3.7888, ade 0.8016, fde 1.2478

************************* Validation, time 227.81 *************************
loss 0.5134 0.1838 0.3296, ade1 1.5225, fde1 3.3902, ade 0.7701, fde 1.2224

Epoch 13.000, lr 0.00100, time 2943.42
loss 0.5188 0.2002 0.3186, ade1 1.6749, fde1 3.7270, ade 0.7967, fde 1.2381

Epoch 14.000, lr 0.00100, time 2715.62
loss 0.5158 0.2002 0.3156, ade1 1.6590, fde1 3.6926, ade 0.7904, fde 1.2262

************************* Validation, time 228.39 *************************
loss 0.5174 0.1989 0.3186, ade1 1.4369, fde1 3.1611, ade 0.7494, fde 1.1738

Epoch 15.000, lr 0.00100, time 2942.01
loss 0.5130 0.2002 0.3128, ade1 1.6473, fde1 3.6659, ade 0.7852, fde 1.2152

Epoch 16.000, lr 0.00100, time 2706.41
loss 0.5100 0.2002 0.3099, ade1 1.6255, fde1 3.6212, ade 0.7817, fde 1.2107

************************* Validation, time 230.55 *************************
loss 0.5317 0.2011 0.3306, ade1 1.7790, fde1 3.8458, ade 0.7662, fde 1.1694

Epoch 17.000, lr 0.00100, time 2943.73
loss 0.5075 0.2002 0.3073, ade1 1.6176, fde1 3.6067, ade 0.7756, fde 1.1990

Epoch 18.000, lr 0.00100, time 2717.35
loss 0.5046 0.2002 0.3044, ade1 1.6064, fde1 3.5789, ade 0.7704, fde 1.1886

************************* Validation, time 229.38 *************************
loss 0.5140 0.1971 0.3169, ade1 1.4377, fde1 3.1718, ade 0.7532, fde 1.1830

Epoch 19.000, lr 0.00100, time 2940.09
loss 0.5021 0.2002 0.3019, ade1 1.5971, fde1 3.5630, ade 0.7660, fde 1.1805

Epoch 20.000, lr 0.00100, time 2707.47
loss 0.5001 0.2002 0.2999, ade1 1.5860, fde1 3.5403, ade 0.7624, fde 1.1740

************************* Validation, time 231.45 *************************
loss 0.5132 0.1957 0.3175, ade1 1.4426, fde1 3.1780, ade 0.7449, fde 1.1698

Epoch 21.000, lr 0.00100, time 2940.76
loss 0.4974 0.2002 0.2973, ade1 1.5764, fde1 3.5202, ade 0.7591, fde 1.1685

Epoch 22.000, lr 0.00100, time 2713.32
loss 0.4957 0.2002 0.2955, ade1 1.5684, fde1 3.5038, ade 0.7546, fde 1.1603

************************* Validation, time 227.81 *************************
loss 0.5127 0.2004 0.3123, ade1 1.4810, fde1 3.2593, ade 0.7376, fde 1.1412

Epoch 23.000, lr 0.00100, time 2936.86
loss 0.4932 0.2002 0.2930, ade1 1.5547, fde1 3.4768, ade 0.7499, fde 1.1535

Epoch 24.000, lr 0.00100, time 2712.38
loss 0.4910 0.2002 0.2908, ade1 1.5443, fde1 3.4539, ade 0.7461, fde 1.1463

************************* Validation, time 228.02 *************************
loss 0.5159 0.1969 0.3191, ade1 1.4195, fde1 3.1067, ade 0.7519, fde 1.1704

Epoch 25.000, lr 0.00100, time 2934.50
loss 0.4887 0.2002 0.2885, ade1 1.5322, fde1 3.4319, ade 0.7416, fde 1.1390

Epoch 26.000, lr 0.00100, time 2708.57
loss 0.4868 0.2002 0.2866, ade1 1.5243, fde1 3.4171, ade 0.7371, fde 1.1292

************************* Validation, time 228.95 *************************
loss 0.5113 0.1952 0.3161, ade1 1.4188, fde1 3.1465, ade 0.7368, fde 1.1466

Epoch 27.000, lr 0.00100, time 2940.41
loss 0.4857 0.2002 0.2855, ade1 1.5204, fde1 3.4101, ade 0.7355, fde 1.1270

Epoch 28.000, lr 0.00100, time 2711.73
loss 0.4831 0.2002 0.2829, ade1 1.5093, fde1 3.3857, ade 0.7319, fde 1.1183

************************* Validation, time 228.47 *************************
loss 0.5100 0.1961 0.3139, ade1 1.3958, fde1 3.0821, ade 0.7379, fde 1.1575

Epoch 29.000, lr 0.00100, time 2937.71
loss 0.4813 0.2002 0.2811, ade1 1.4998, fde1 3.3684, ade 0.7296, fde 1.1169

Epoch 30.000, lr 0.00100, time 2713.12
loss 0.4799 0.2002 0.2797, ade1 1.4915, fde1 3.3492, ade 0.7263, fde 1.1127

************************* Validation, time 228.34 *************************
loss 0.5085 0.1969 0.3116, ade1 1.4471, fde1 3.1931, ade 0.7382, fde 1.1531

Epoch 31.000, lr 0.00100, time 2939.23
loss 0.4781 0.2002 0.2779, ade1 1.4868, fde1 3.3414, ade 0.7238, fde 1.1070

Epoch 32.000, lr 0.00100, time 2713.82
loss 0.4767 0.2002 0.2765, ade1 1.4792, fde1 3.3299, ade 0.7199, fde 1.1013

************************* Validation, time 228.18 *************************
loss 0.5160 0.2021 0.3139, ade1 1.3874, fde1 3.0565, ade 0.7322, fde 1.1501

Epoch 33.000, lr 0.00010, time 2939.82
loss 0.4580 0.2001 0.2580, ade1 1.3992, fde1 3.1620, ade 0.6817, fde 1.0317

Epoch 34.000, lr 0.00010, time 2711.71
loss 0.4516 0.2001 0.2515, ade1 1.3834, fde1 3.1332, ade 0.6708, fde 1.0094

************************* Validation, time 227.73 *************************
loss 0.5048 0.1996 0.3052, ade1 1.3532, fde1 2.9830, ade 0.7156, fde 1.0940

Epoch 35.000, lr 0.00010, time 2938.13
loss 0.4480 0.2001 0.2479, ade1 1.3744, fde1 3.1153, ade 0.6658, fde 0.9984

Epoch 36.000, lr 0.00010, time 2710.81
loss 0.4452 0.2001 0.2451, ade1 1.3687, fde1 3.1054, ade 0.6605, fde 0.9896

************************* Validation, time 227.77 *************************
loss 0.5067 0.2012 0.3055, ade1 1.3466, fde1 2.9663, ade 0.7156, fde 1.0949

Epoch 37.000, lr 0.00010, time 2936.56
loss 0.4426 0.2001 0.2425, ade1 1.3624, fde1 3.0923, ade 0.6561, fde 0.9802

Epoch 38.000, lr 0.00010, time 2706.96
loss 0.4403 0.2001 0.2403, ade1 1.3603, fde1 3.0898, ade 0.6525, fde 0.9721

************************* Validation, time 227.80 *************************
loss 0.5095 0.2025 0.3069, ade1 1.3568, fde1 2.9909, ade 0.7180, fde 1.0926

Epoch 39.000, lr 0.00010, time 2941.10
loss 0.4384 0.2001 0.2383, ade1 1.3564, fde1 3.0831, ade 0.6496, fde 0.9650

Epoch 40.000, lr 0.00010, time 2713.09
loss 0.4366 0.2001 0.2365, ade1 1.3536, fde1 3.0766, ade 0.6462, fde 0.9588

************************* Validation, time 227.58 *************************
loss 0.5096 0.2030 0.3066, ade1 1.3458, fde1 2.9636, ade 0.7155, fde 1.0915

Epoch 41.000, lr 0.00010, time 2934.64
loss 0.4348 0.2001 0.2347, ade1 1.3496, fde1 3.0700, ade 0.6427, fde 0.9514

Epoch 42.000, lr 0.00010, time 2713.30
loss 0.4332 0.2001 0.2331, ade1 1.3480, fde1 3.0676, ade 0.6399, fde 0.9457

************************* Validation, time 227.82 *************************
loss 0.5108 0.2025 0.3083, ade1 1.3458, fde1 2.9634, ade 0.7178, fde 1.0940

Epoch 43.000, lr 0.00010, time 2942.24
loss 0.4317 0.2001 0.2315, ade1 1.3443, fde1 3.0607, ade 0.6374, fde 0.9407

Epoch 44.000, lr 0.00010, time 2710.19
loss 0.4302 0.2001 0.2301, ade1 1.3418, fde1 3.0570, ade 0.6351, fde 0.9354

************************* Validation, time 228.40 *************************
loss 0.5126 0.2034 0.3092, ade1 1.3483, fde1 2.9721, ade 0.7188, fde 1.0934

Epoch 45.000, lr 0.00010, time 2938.92
loss 0.4289 0.2001 0.2288, ade1 1.3388, fde1 3.0508, ade 0.6328, fde 0.9310

Epoch 46.000, lr 0.00010, time 2711.57
loss 0.4277 0.2001 0.2276, ade1 1.3357, fde1 3.0452, ade 0.6308, fde 0.9263

Epoch 1.000, lr 0.00100, time 3168.18
loss 0.9391 0.1993 0.7398, ade1 3.6527, fde1 8.2240, ade 1.5429, fde 2.9427

Epoch 2.000, lr 0.00100, time 3158.84
loss 0.6468 0.1997 0.4471, ade1 3.0272, fde1 6.9744, ade 1.0437, fde 1.8180

************************* Validation, time 59.42 *************************
loss 0.5974 0.1842 0.4132, ade1 2.0139, fde1 4.6127, ade 0.8989, fde 1.5050

Epoch 1.000, lr 0.00100, time 856.99
loss 0.9348 0.1993 0.7355, ade1 3.6879, fde1 8.3475, ade 1.5312, fde 2.9069

Epoch 2.000, lr 0.00100, time 881.52
loss 0.6456 0.1997 0.4459, ade1 2.8052, fde1 6.4572, ade 1.0361, fde 1.7994

************************* Validation, time 62.32 *************************
loss 0.5955 0.1900 0.4054, ade1 2.3259, fde1 5.4341, ade 0.8929, fde 1.5230

Epoch 3.000, lr 0.00100, time 944.69
loss 0.6053 0.1998 0.4055, ade1 2.3757, fde1 5.4184, ade 0.9507, fde 1.5827

Epoch 4.000, lr 0.00100, time 873.92
loss 0.5851 0.1999 0.3852, ade1 2.2430, fde1 5.0983, ade 0.9128, fde 1.4940

************************* Validation, time 60.05 *************************
loss 0.5764 0.1957 0.3807, ade1 1.8091, fde1 4.1311, ade 0.8461, fde 1.3788

Epoch 5.000, lr 0.00100, time 939.97
loss 0.5717 0.2000 0.3716, ade1 2.1401, fde1 4.8576, ade 0.8897, fde 1.4337

Epoch 6.000, lr 0.00100, time 875.18
loss 0.5621 0.2000 0.3621, ade1 2.0690, fde1 4.6884, ade 0.8728, fde 1.3978

************************* Validation, time 60.30 *************************
loss 0.5520 0.1986 0.3534, ade1 1.7265, fde1 3.8777, ade 0.8067, fde 1.2844

Epoch 7.000, lr 0.00100, time 945.02
loss 0.5548 0.2001 0.3547, ade1 2.0115, fde1 4.5454, ade 0.8616, fde 1.3693

Epoch 8.000, lr 0.00100, time 881.88
loss 0.5481 0.2001 0.3480, ade1 1.9900, fde1 4.4958, ade 0.8514, fde 1.3460

************************* Validation, time 60.05 *************************
loss 0.5427 0.1989 0.3437, ade1 1.7030, fde1 3.8133, ade 0.7948, fde 1.2796

Epoch 9.000, lr 0.00100, time 944.77
loss 0.5421 0.2000 0.3421, ade1 1.9298, fde1 4.3484, ade 0.8403, fde 1.3220

Epoch 10.000, lr 0.00100, time 872.31
loss 0.5370 0.2001 0.3369, ade1 1.8867, fde1 4.2429, ade 0.8303, fde 1.3006

************************* Validation, time 62.56 *************************
loss 0.5370 0.1950 0.3420, ade1 1.6017, fde1 3.6100, ade 0.7820, fde 1.2493

Epoch 11.000, lr 0.00100, time 942.32
loss 0.5322 0.2001 0.3321, ade1 1.8343, fde1 4.1165, ade 0.8223, fde 1.2851

Epoch 12.000, lr 0.00100, time 884.18
loss 0.5274 0.2001 0.3273, ade1 1.7799, fde1 3.9908, ade 0.8122, fde 1.2623

************************* Validation, time 63.19 *************************
loss 0.5250 0.1879 0.3372, ade1 1.5154, fde1 3.4067, ade 0.7988, fde 1.2723

Epoch 13.000, lr 0.00100, time 943.58
loss 0.5240 0.2001 0.3239, ade1 1.7567, fde1 3.9234, ade 0.8046, fde 1.2488

Epoch 14.000, lr 0.00100, time 881.30
loss 0.5200 0.2001 0.3200, ade1 1.7273, fde1 3.8628, ade 0.7987, fde 1.2354

************************* Validation, time 59.47 *************************
loss 0.5169 0.1957 0.3212, ade1 1.5565, fde1 3.5104, ade 0.7543, fde 1.1950

Epoch 15.000, lr 0.00100, time 936.66
loss 0.5169 0.2001 0.3168, ade1 1.7038, fde1 3.8044, ade 0.7917, fde 1.2214

Epoch 16.000, lr 0.00100, time 877.45
loss 0.5139 0.2002 0.3138, ade1 1.6904, fde1 3.7732, ade 0.7865, fde 1.2112

************************* Validation, time 59.98 *************************
loss 0.5259 0.1969 0.3290, ade1 1.4952, fde1 3.2697, ade 0.7583, fde 1.1848

Epoch 17.000, lr 0.00100, time 940.84
loss 0.5112 0.2002 0.3110, ade1 1.6737, fde1 3.7346, ade 0.7826, fde 1.2019

Epoch 18.000, lr 0.00100, time 877.67
loss 0.5085 0.2001 0.3084, ade1 1.6552, fde1 3.6913, ade 0.7769, fde 1.1927

************************* Validation, time 61.39 *************************
loss 0.5191 0.2034 0.3157, ade1 1.5392, fde1 3.4059, ade 0.7460, fde 1.1561

Epoch 19.000, lr 0.00100, time 939.52
loss 0.5052 0.2001 0.3051, ade1 1.6358, fde1 3.6514, ade 0.7714, fde 1.1812

Epoch 20.000, lr 0.00100, time 876.37
loss 0.5032 0.2001 0.3031, ade1 1.6189, fde1 3.6127, ade 0.7669, fde 1.1736

************************* Validation, time 61.70 *************************
loss 0.5181 0.2031 0.3150, ade1 1.4978, fde1 3.2743, ade 0.7474, fde 1.1606

Epoch 21.000, lr 0.00100, time 946.06
loss 0.5010 0.2001 0.3009, ade1 1.6157, fde1 3.6084, ade 0.7642, fde 1.1700

Epoch 22.000, lr 0.00100, time 877.89
loss 0.4982 0.2001 0.2981, ade1 1.5946, fde1 3.5640, ade 0.7574, fde 1.1566

************************* Validation, time 60.60 *************************
loss 0.5089 0.1969 0.3120, ade1 1.4420, fde1 3.1946, ade 0.7349, fde 1.1278

Epoch 23.000, lr 0.00100, time 937.61
loss 0.4961 0.2001 0.2959, ade1 1.5842, fde1 3.5454, ade 0.7539, fde 1.1502

Epoch 24.000, lr 0.00100, time 876.54
loss 0.4936 0.2001 0.2935, ade1 1.5818, fde1 3.5383, ade 0.7493, fde 1.1431

************************* Validation, time 69.73 *************************
loss 0.5063 0.1905 0.3158, ade1 1.4277, fde1 3.1444, ade 0.7574, fde 1.1992

Epoch 25.000, lr 0.00100, time 945.09
loss 0.4917 0.2001 0.2915, ade1 1.5670, fde1 3.5111, ade 0.7470, fde 1.1413

Epoch 26.000, lr 0.00100, time 877.31
loss 0.4899 0.2002 0.2898, ade1 1.5593, fde1 3.4970, ade 0.7431, fde 1.1321

************************* Validation, time 60.81 *************************
loss 0.5165 0.2058 0.3107, ade1 1.4551, fde1 3.2248, ade 0.7289, fde 1.1221

Epoch 27.000, lr 0.00100, time 943.74
loss 0.4868 0.2001 0.2867, ade1 1.5443, fde1 3.4637, ade 0.7360, fde 1.1214

Epoch 28.000, lr 0.00100, time 881.48
loss 0.4852 0.2002 0.2850, ade1 1.5405, fde1 3.4609, ade 0.7335, fde 1.1194

************************* Validation, time 61.87 *************************
loss 0.5230 0.2108 0.3123, ade1 1.5301, fde1 3.3292, ade 0.7471, fde 1.1485

Epoch 29.000, lr 0.00100, time 946.33
loss 0.4829 0.2001 0.2828, ade1 1.5315, fde1 3.4426, ade 0.7294, fde 1.1099

Epoch 30.000, lr 0.00100, time 878.85
loss 0.4810 0.2002 0.2808, ade1 1.5255, fde1 3.4333, ade 0.7265, fde 1.1056

************************* Validation, time 69.91 *************************
loss 0.5140 0.2002 0.3138, ade1 1.4038, fde1 3.1045, ade 0.7385, fde 1.1415

Epoch 31.000, lr 0.00100, time 954.70
loss 0.4792 0.2001 0.2791, ade1 1.5099, fde1 3.3962, ade 0.7229, fde 1.0960

Epoch 32.000, lr 0.00010, time 874.96
loss 0.4772 0.2002 0.2770, ade1 1.5052, fde1 3.3922, ade 0.7191, fde 1.0926

************************* Validation, time 61.09 *************************
loss 0.5104 0.2005 0.3099, ade1 1.3839, fde1 3.0482, ade 0.7257, fde 1.1135

Epoch 33.000, lr 0.00010, time 940.01
loss 0.4583 0.2001 0.2582, ade1 1.4215, fde1 3.2176, ade 0.6816, fde 1.0223

Epoch 34.000, lr 0.00010, time 878.30
loss 0.4524 0.2001 0.2523, ade1 1.4038, fde1 3.1844, ade 0.6716, fde 1.0028

************************* Validation, time 59.41 *************************
loss 0.5049 0.2018 0.3031, ade1 1.3493, fde1 2.9728, ade 0.7118, fde 1.0777

Epoch 35.000, lr 0.00010, time 944.16
loss 0.4490 0.2001 0.2489, ade1 1.3982, fde1 3.1745, ade 0.6655, fde 0.9917

Epoch 36.000, lr 0.00010, time 878.41
loss 0.4463 0.2001 0.2462, ade1 1.3913, fde1 3.1627, ade 0.6612, fde 0.9828

************************* Validation, time 59.60 *************************
loss 0.5067 0.2028 0.3039, ade1 1.3431, fde1 2.9576, ade 0.7118, fde 1.0754