esc_loss_log.txt

Epoch: 0
Batch 30, loss = 524.3822, recon_loss = 520.9375, kl_loss = 3.4447
Batch 60, loss = 511.0901, recon_loss = 507.8138, kl_loss = 3.2762
Average loss: 1135.5340
Epoch: 1
Batch 30, loss = 860.2330, recon_loss = 857.3218, kl_loss = 2.9112
Batch 60, loss = 985.0842, recon_loss = 982.1104, kl_loss = 2.9738
Average loss: 1087.1592
Epoch: 2
Batch 30, loss = 648.2519, recon_loss = 645.7698, kl_loss = 2.4821
Batch 60, loss = 830.4471, recon_loss = 828.3472, kl_loss = 2.0999
Average loss: 1050.4965
Epoch: 3
Batch 30, loss = 808.7632, recon_loss = 807.7781, kl_loss = 0.9851
Batch 60, loss = 569.9930, recon_loss = 568.4427, kl_loss = 1.5504
Average loss: 1017.2423
Epoch: 4
Batch 30, loss = 4764.3623, recon_loss = 4762.0547, kl_loss = 2.3074
Batch 60, loss = 568.4878, recon_loss = 567.3032, kl_loss = 1.1846
Average loss: 1027.3260
Epoch: 5
Batch 30, loss = 4362.2217, recon_loss = 4360.3247, kl_loss = 1.8969
Batch 60, loss = 1789.1821, recon_loss = 1787.1460, kl_loss = 2.0361
Average loss: 1016.8169
Epoch: 6
Batch 30, loss = 1949.8029, recon_loss = 1948.8419, kl_loss = 0.9609
Batch 60, loss = 416.3850, recon_loss = 415.3520, kl_loss = 1.0329
Average loss: 1005.3276
Epoch: 7
Batch 30, loss = 472.0770, recon_loss = 470.8783, kl_loss = 1.1987
Batch 60, loss = 2563.6177, recon_loss = 2560.0972, kl_loss = 3.5205
Average loss: 1168.6657
Epoch: 8
Batch 30, loss = 295.3612, recon_loss = 292.8397, kl_loss = 2.5215
Batch 60, loss = 3248.6870, recon_loss = 3246.3323, kl_loss = 2.3547
Average loss: 1028.1052
Epoch: 9
Batch 30, loss = 400.8951, recon_loss = 398.9584, kl_loss = 1.9367
Batch 60, loss = 161.5517, recon_loss = 159.5001, kl_loss = 2.0516
Average loss: 922.6718
Epoch: 10
Batch 30, loss = 465.5887, recon_loss = 463.9707, kl_loss = 1.6181
Batch 60, loss = 518.0168, recon_loss = 516.0796, kl_loss = 1.9373
Average loss: 918.1436
Epoch: 11
Batch 30, loss = 1305.2139, recon_loss = 1302.9570, kl_loss = 2.2568
Batch 60, loss = 219.4141, recon_loss = 217.5038, kl_loss = 1.9103
Average loss: 835.3514
Epoch: 12
Batch 30, loss = 803.2991, recon_loss = 800.4891, kl_loss = 2.8099
Batch 60, loss = 365.9101, recon_loss = 364.3128, kl_loss = 1.5972
Average loss: 974.0796
Epoch: 13
Batch 30, loss = 246.5620, recon_loss = 244.4806, kl_loss = 2.0814
Batch 60, loss = 421.2639, recon_loss = 419.3737, kl_loss = 1.8901
Average loss: 895.6909
Epoch: 14
Batch 30, loss = 401.3797, recon_loss = 399.4338, kl_loss = 1.9459
Batch 60, loss = 241.4256, recon_loss = 239.7168, kl_loss = 1.7088
Average loss: 852.3185
Epoch: 15
Batch 30, loss = 3089.5120, recon_loss = 3087.2432, kl_loss = 2.2689
Batch 60, loss = 351.3766, recon_loss = 349.4324, kl_loss = 1.9442
Average loss: 803.6499
Epoch: 16
Batch 30, loss = 314.5078, recon_loss = 312.5489, kl_loss = 1.9589
Batch 60, loss = 670.0765, recon_loss = 667.4700, kl_loss = 2.6065
Average loss: 783.8182
Epoch: 17
Batch 30, loss = 486.6654, recon_loss = 484.3789, kl_loss = 2.2864
Batch 60, loss = 925.6563, recon_loss = 923.3266, kl_loss = 2.3297
Average loss: 778.6601
Epoch: 18
Batch 30, loss = 322.2658, recon_loss = 319.8188, kl_loss = 2.4470
Batch 60, loss = 232.5920, recon_loss = 229.9735, kl_loss = 2.6185
Average loss: 747.0242
Epoch: 19
Batch 30, loss = 243.1662, recon_loss = 240.7335, kl_loss = 2.4327
Batch 60, loss = 4492.9087, recon_loss = 4489.9282, kl_loss = 2.9805
Average loss: 761.6657
Epoch: 20
Batch 30, loss = 801.1251, recon_loss = 798.2534, kl_loss = 2.8717
Batch 60, loss = 277.9677, recon_loss = 275.0802, kl_loss = 2.8876
Average loss: 727.8346
Epoch: 21
Batch 30, loss = 95.1034, recon_loss = 92.2706, kl_loss = 2.8328
Batch 60, loss = 2385.1157, recon_loss = 2381.8250, kl_loss = 3.2907
Average loss: 712.2217
Epoch: 22
Batch 30, loss = 181.2575, recon_loss = 178.2582, kl_loss = 2.9993
Batch 60, loss = 1727.5005, recon_loss = 1723.8215, kl_loss = 3.6790
Average loss: 704.1022
Epoch: 23
Batch 30, loss = 1203.8955, recon_loss = 1200.8867, kl_loss = 3.0087
Batch 60, loss = 786.4962, recon_loss = 783.3030, kl_loss = 3.1932
Average loss: 692.9919
Epoch: 24
Batch 30, loss = 1379.7313, recon_loss = 1376.3994, kl_loss = 3.3319
Batch 60, loss = 706.3290, recon_loss = 703.4904, kl_loss = 2.8386
Average loss: 698.0894
Epoch: 25
Batch 30, loss = 755.3554, recon_loss = 752.2617, kl_loss = 3.0937
Batch 60, loss = 290.3627, recon_loss = 287.4384, kl_loss = 2.9243
Average loss: 703.3267
Epoch: 26
Batch 30, loss = 2972.4966, recon_loss = 2969.2927, kl_loss = 3.2039
Batch 60, loss = 436.6358, recon_loss = 433.7161, kl_loss = 2.9197
Average loss: 711.9964
Epoch: 27
Batch 30, loss = 265.6802, recon_loss = 262.7069, kl_loss = 2.9733
Batch 60, loss = 341.7553, recon_loss = 338.6578, kl_loss = 3.0974
Average loss: 706.8728
Epoch: 28
Batch 30, loss = 764.5166, recon_loss = 761.1859, kl_loss = 3.3308
Batch 60, loss = 191.6304, recon_loss = 188.5650, kl_loss = 3.0654
Average loss: 695.1280
Epoch: 29
Batch 30, loss = 1769.6127, recon_loss = 1766.4938, kl_loss = 3.1190
Batch 60, loss = 2011.5276, recon_loss = 2008.2919, kl_loss = 3.2358
Average loss: 666.9670
Epoch: 30
Batch 30, loss = 415.2745, recon_loss = 412.2504, kl_loss = 3.0241
Batch 60, loss = 301.1267, recon_loss = 298.1154, kl_loss = 3.0113
Average loss: 666.9063
Epoch: 31
Batch 30, loss = 1202.0636, recon_loss = 1198.6736, kl_loss = 3.3900
Batch 60, loss = 1385.3838, recon_loss = 1382.0995, kl_loss = 3.2843
Average loss: 683.2145
Epoch: 32
Batch 30, loss = 445.5428, recon_loss = 442.3926, kl_loss = 3.1503
Batch 60, loss = 581.8561, recon_loss = 578.7751, kl_loss = 3.0811
Average loss: 686.0107
Epoch: 33
Batch 30, loss = 252.3709, recon_loss = 249.1843, kl_loss = 3.1866
Batch 60, loss = 446.8061, recon_loss = 443.8096, kl_loss = 2.9965
Average loss: 648.8567
Epoch: 34
Batch 30, loss = 215.7168, recon_loss = 212.9513, kl_loss = 2.7655
Batch 60, loss = 1270.6224, recon_loss = 1267.3380, kl_loss = 3.2845
Average loss: 668.8944
Epoch: 35
Batch 30, loss = 1889.7797, recon_loss = 1886.4324, kl_loss = 3.3472
Batch 60, loss = 406.9105, recon_loss = 403.8682, kl_loss = 3.0423
Average loss: 644.8474
Epoch: 36
Batch 30, loss = 128.7509, recon_loss = 125.6940, kl_loss = 3.0569
Batch 60, loss = 467.4860, recon_loss = 464.5153, kl_loss = 2.9707
Average loss: 668.6290
Epoch: 37
Batch 30, loss = 1234.4489, recon_loss = 1231.0957, kl_loss = 3.3532
Batch 60, loss = 327.2562, recon_loss = 324.2218, kl_loss = 3.0344
Average loss: 632.9299
Epoch: 38
Batch 30, loss = 416.0518, recon_loss = 412.8800, kl_loss = 3.1718
Batch 60, loss = 755.9464, recon_loss = 752.5209, kl_loss = 3.4255
Average loss: 619.0721
Epoch: 39
Batch 30, loss = 178.9653, recon_loss = 176.0830, kl_loss = 2.8823
Batch 60, loss = 2071.3865, recon_loss = 2068.0400, kl_loss = 3.3465
Average loss: 632.5026
Epoch: 40
Batch 30, loss = 1051.5632, recon_loss = 1048.6104, kl_loss = 2.9529
Batch 60, loss = 143.1278, recon_loss = 140.0122, kl_loss = 3.1156
Average loss: 627.9703
Epoch: 41
Batch 30, loss = 193.4679, recon_loss = 190.5811, kl_loss = 2.8868
Batch 60, loss = 858.6540, recon_loss = 855.7301, kl_loss = 2.9239
Average loss: 607.2805
Epoch: 42
Batch 30, loss = 1177.0713, recon_loss = 1173.5863, kl_loss = 3.4850
Batch 60, loss = 434.0737, recon_loss = 431.2191, kl_loss = 2.8546
Average loss: 625.6647
Epoch: 43
Batch 30, loss = 2941.1111, recon_loss = 2937.7488, kl_loss = 3.3624
Batch 60, loss = 307.0804, recon_loss = 304.0448, kl_loss = 3.0355
Average loss: 611.5881
Epoch: 44
Batch 30, loss = 1291.9506, recon_loss = 1288.4895, kl_loss = 3.4611
Batch 60, loss = 414.7414, recon_loss = 411.6242, kl_loss = 3.1171
Average loss: 597.9874
Epoch: 45
Batch 30, loss = 237.0133, recon_loss = 234.0419, kl_loss = 2.9713
Batch 60, loss = 315.5778, recon_loss = 312.9134, kl_loss = 2.6644
Average loss: 650.8595
Epoch: 46
Batch 30, loss = 2074.9312, recon_loss = 2071.0867, kl_loss = 3.8445
Batch 60, loss = 571.2676, recon_loss = 567.8374, kl_loss = 3.4302
Average loss: 652.2053
Epoch: 47
Batch 30, loss = 524.3270, recon_loss = 521.1403, kl_loss = 3.1867
Batch 60, loss = 155.1351, recon_loss = 152.2041, kl_loss = 2.9310
Average loss: 638.7367
Epoch: 48
Batch 30, loss = 232.9091, recon_loss = 229.7414, kl_loss = 3.1677
Batch 60, loss = 281.0185, recon_loss = 277.3850, kl_loss = 3.6335
Average loss: 556.6757
Epoch: 49
Batch 30, loss = 261.9648, recon_loss = 258.3399, kl_loss = 3.6249
Batch 60, loss = 275.8042, recon_loss = 271.9846, kl_loss = 3.8196
Average loss: 604.3734
Epoch: 50
Batch 30, loss = 712.2376, recon_loss = 708.5003, kl_loss = 3.7373
Batch 60, loss = 137.7441, recon_loss = 134.1722, kl_loss = 3.5719
Average loss: 549.3811
Epoch: 51
Batch 30, loss = 711.1893, recon_loss = 706.8899, kl_loss = 4.2994
Batch 60, loss = 1758.4287, recon_loss = 1754.0677, kl_loss = 4.3610
Average loss: 511.1838
Epoch: 52
Batch 30, loss = 62.7303, recon_loss = 58.7146, kl_loss = 4.0157
Batch 60, loss = 781.4045, recon_loss = 777.2348, kl_loss = 4.1697
Average loss: 461.8550
Epoch: 53
Batch 30, loss = 1754.2554, recon_loss = 1750.5361, kl_loss = 3.7193
Batch 60, loss = 312.7385, recon_loss = 308.8972, kl_loss = 3.8413
Average loss: 489.6222
Epoch: 54
Batch 30, loss = 97.5165, recon_loss = 93.3562, kl_loss = 4.1603
Batch 60, loss = 135.4895, recon_loss = 131.4257, kl_loss = 4.0638
Average loss: 458.2433
Epoch: 55
Batch 30, loss = 162.0885, recon_loss = 157.7260, kl_loss = 4.3625
Batch 60, loss = 39.0750, recon_loss = 34.3881, kl_loss = 4.6869
Average loss: 483.2451
Epoch: 56
Batch 30, loss = 166.8355, recon_loss = 162.9097, kl_loss = 3.9258
Batch 60, loss = 196.8678, recon_loss = 191.8914, kl_loss = 4.9764
Average loss: 482.6594
Epoch: 57
Batch 30, loss = 842.9711, recon_loss = 838.8106, kl_loss = 4.1605
Batch 60, loss = 227.4951, recon_loss = 223.2167, kl_loss = 4.2784
Average loss: 438.5623
Epoch: 58
Batch 30, loss = 114.5617, recon_loss = 110.1866, kl_loss = 4.3751
Batch 60, loss = 180.0286, recon_loss = 175.6591, kl_loss = 4.3695
Average loss: 502.0929
Epoch: 59
Batch 30, loss = 502.6133, recon_loss = 498.4507, kl_loss = 4.1626
Batch 60, loss = 105.6198, recon_loss = 101.8079, kl_loss = 3.8118
Average loss: 437.4983
Epoch: 60
Batch 30, loss = 1740.8323, recon_loss = 1736.5839, kl_loss = 4.2484
Batch 60, loss = 104.7325, recon_loss = 100.5449, kl_loss = 4.1876
Average loss: 434.0305
Epoch: 61
Batch 30, loss = 98.1520, recon_loss = 93.8106, kl_loss = 4.3414
Batch 60, loss = 553.8546, recon_loss = 549.7598, kl_loss = 4.0947
Average loss: 463.2558
Epoch: 62
Batch 30, loss = 166.8480, recon_loss = 162.8609, kl_loss = 3.9870
Batch 60, loss = 143.7121, recon_loss = 139.6241, kl_loss = 4.0880
Average loss: 412.0391
Epoch: 63
Batch 30, loss = 209.0306, recon_loss = 205.1749, kl_loss = 3.8557
Batch 60, loss = 204.6928, recon_loss = 201.2171, kl_loss = 3.4757
Average loss: 443.8902
Epoch: 64
Batch 30, loss = 113.9675, recon_loss = 109.6794, kl_loss = 4.2881
Batch 60, loss = 206.9098, recon_loss = 202.5066, kl_loss = 4.4032
Average loss: 421.9004
Epoch: 65
Batch 30, loss = 312.8686, recon_loss = 309.0817, kl_loss = 3.7869
Batch 60, loss = 496.7143, recon_loss = 492.5322, kl_loss = 4.1821
Average loss: 434.7948
Epoch: 66
Batch 30, loss = 157.9210, recon_loss = 154.3239, kl_loss = 3.5972
Batch 60, loss = 736.7596, recon_loss = 732.1865, kl_loss = 4.5731
Average loss: 411.9512
Epoch: 67
Batch 30, loss = 104.7120, recon_loss = 100.9882, kl_loss = 3.7238
Batch 60, loss = 82.7882, recon_loss = 78.4977, kl_loss = 4.2905
Average loss: 397.4158
Epoch: 68
Batch 30, loss = 107.4706, recon_loss = 103.9060, kl_loss = 3.5646
Batch 60, loss = 179.2522, recon_loss = 175.1206, kl_loss = 4.1316
Average loss: 386.1297
Epoch: 69
Batch 30, loss = 598.1255, recon_loss = 593.7874, kl_loss = 4.3382
Batch 60, loss = 55.9216, recon_loss = 52.0091, kl_loss = 3.9124
Average loss: 425.6612
Epoch: 70
Batch 30, loss = 698.8731, recon_loss = 694.6410, kl_loss = 4.2321
Batch 60, loss = 1753.7733, recon_loss = 1749.3363, kl_loss = 4.4370
Average loss: 373.7907
Epoch: 71
Batch 30, loss = 108.7675, recon_loss = 105.0806, kl_loss = 3.6868
Batch 60, loss = 156.0522, recon_loss = 151.8537, kl_loss = 4.1985
Average loss: 381.5077
Epoch: 72
Batch 30, loss = 141.1866, recon_loss = 136.8763, kl_loss = 4.3102
Batch 60, loss = 118.7220, recon_loss = 114.9128, kl_loss = 3.8092
Average loss: 393.2916
Epoch: 73
Batch 30, loss = 798.0013, recon_loss = 793.4910, kl_loss = 4.5104
Batch 60, loss = 128.7967, recon_loss = 124.2995, kl_loss = 4.4973
Average loss: 412.1003
Epoch: 74
Batch 30, loss = 162.5942, recon_loss = 158.5824, kl_loss = 4.0118
Batch 60, loss = 195.4845, recon_loss = 191.3198, kl_loss = 4.1646
Average loss: 389.8079
Epoch: 75
Batch 30, loss = 300.0455, recon_loss = 295.3996, kl_loss = 4.6459
Batch 60, loss = 127.2123, recon_loss = 123.1702, kl_loss = 4.0421
Average loss: 371.7553
Epoch: 76
Batch 30, loss = 171.5426, recon_loss = 167.3400, kl_loss = 4.2027
Batch 60, loss = 944.0233, recon_loss = 939.3357, kl_loss = 4.6876
Average loss: 398.5692
Epoch: 77
Batch 30, loss = 185.9922, recon_loss = 182.0425, kl_loss = 3.9496
Batch 60, loss = 275.9515, recon_loss = 272.1483, kl_loss = 3.8032
Average loss: 429.9771
Epoch: 78
Batch 30, loss = 334.2708, recon_loss = 330.3172, kl_loss = 3.9536
Batch 60, loss = 892.4436, recon_loss = 888.5328, kl_loss = 3.9108
Average loss: 496.6811
Epoch: 79
Batch 30, loss = 541.8674, recon_loss = 537.2977, kl_loss = 4.5698
Batch 60, loss = 173.5524, recon_loss = 169.6985, kl_loss = 3.8539
Average loss: 405.8759
Epoch: 80
Batch 30, loss = 397.0434, recon_loss = 392.6881, kl_loss = 4.3554
Batch 60, loss = 1365.5726, recon_loss = 1360.6681, kl_loss = 4.9046
Average loss: 370.8689
Epoch: 81
Batch 30, loss = 93.1533, recon_loss = 88.9527, kl_loss = 4.2006
Batch 60, loss = 141.6602, recon_loss = 137.3569, kl_loss = 4.3032
Average loss: 352.0586
Epoch: 82
Batch 30, loss = 223.0626, recon_loss = 219.0664, kl_loss = 3.9962
Batch 60, loss = 89.1148, recon_loss = 84.6795, kl_loss = 4.4352
Average loss: 358.2263
Epoch: 83
Batch 30, loss = 90.7753, recon_loss = 86.0025, kl_loss = 4.7728
Batch 60, loss = 89.9966, recon_loss = 85.7813, kl_loss = 4.2152
Average loss: 335.4005
Epoch: 84
Batch 30, loss = 243.0249, recon_loss = 238.9533, kl_loss = 4.0716
Batch 60, loss = 66.4911, recon_loss = 61.9910, kl_loss = 4.5001
Average loss: 358.5225
Epoch: 85
Batch 30, loss = 100.0203, recon_loss = 95.3956, kl_loss = 4.6247
Batch 60, loss = 156.2259, recon_loss = 152.3262, kl_loss = 3.8997
Average loss: 354.9529
Epoch: 86
Batch 30, loss = 93.4873, recon_loss = 89.3011, kl_loss = 4.1862
Batch 60, loss = 114.6526, recon_loss = 109.9299, kl_loss = 4.7226
Average loss: 336.0566
Epoch: 87
Batch 30, loss = 78.8777, recon_loss = 74.6894, kl_loss = 4.1883
Batch 60, loss = 2910.9114, recon_loss = 2905.6509, kl_loss = 5.2605
Average loss: 337.6739
Epoch: 88
Batch 30, loss = 131.4452, recon_loss = 127.3131, kl_loss = 4.1321
Batch 60, loss = 88.7877, recon_loss = 84.5631, kl_loss = 4.2246
Average loss: 327.8210
Epoch: 89
Batch 30, loss = 76.7555, recon_loss = 72.3647, kl_loss = 4.3908
Batch 60, loss = 279.8156, recon_loss = 275.0060, kl_loss = 4.8097
Average loss: 310.1173
Epoch: 90
Batch 30, loss = 102.5270, recon_loss = 98.1408, kl_loss = 4.3863
Batch 60, loss = 248.4840, recon_loss = 244.1099, kl_loss = 4.3741
Average loss: 305.8993
Epoch: 91
Batch 30, loss = 215.9996, recon_loss = 211.4068, kl_loss = 4.5928
Batch 60, loss = 82.0228, recon_loss = 77.7191, kl_loss = 4.3037
Average loss: 300.4060
Epoch: 92
Batch 30, loss = 234.0558, recon_loss = 229.6373, kl_loss = 4.4185
Batch 60, loss = 138.4224, recon_loss = 133.7691, kl_loss = 4.6534
Average loss: 294.4553
Epoch: 93
Batch 30, loss = 98.8889, recon_loss = 94.5645, kl_loss = 4.3244
Batch 60, loss = 2100.7605, recon_loss = 2096.2847, kl_loss = 4.4758
Average loss: 293.8947
Epoch: 94
Batch 30, loss = 128.8309, recon_loss = 124.7849, kl_loss = 4.0460
Batch 60, loss = 81.4137, recon_loss = 77.0169, kl_loss = 4.3968
Average loss: 303.1674
Epoch: 95
Batch 30, loss = 77.1271, recon_loss = 72.7758, kl_loss = 4.3513
Batch 60, loss = 88.1740, recon_loss = 84.2997, kl_loss = 3.8743
Average loss: 275.1468
Epoch: 96
Batch 30, loss = 450.5453, recon_loss = 446.3269, kl_loss = 4.2185
Batch 60, loss = 1189.2653, recon_loss = 1184.6447, kl_loss = 4.6207
Average loss: 299.8410
Epoch: 97
Batch 30, loss = 1200.8468, recon_loss = 1196.3326, kl_loss = 4.5142
Batch 60, loss = 218.5518, recon_loss = 214.3377, kl_loss = 4.2141
Average loss: 313.6908
Epoch: 98
Batch 30, loss = 57.2408, recon_loss = 53.1800, kl_loss = 4.0608
Batch 60, loss = 172.2893, recon_loss = 168.1109, kl_loss = 4.1784
Average loss: 299.3796
Epoch: 99
Batch 30, loss = 166.0761, recon_loss = 161.7658, kl_loss = 4.3103
Batch 60, loss = 212.6471, recon_loss = 208.0844, kl_loss = 4.5627
Average loss: 277.2523
Epoch: 100
Batch 30, loss = 113.7285, recon_loss = 109.5213, kl_loss = 4.2072
Batch 60, loss = 172.1931, recon_loss = 168.0395, kl_loss = 4.1536
Average loss: 281.5422
Epoch: 101
Batch 30, loss = 167.1955, recon_loss = 162.8601, kl_loss = 4.3355
Batch 60, loss = 337.6429, recon_loss = 333.1357, kl_loss = 4.5073
Average loss: 268.8757
Epoch: 102
Batch 30, loss = 70.5087, recon_loss = 66.2838, kl_loss = 4.2249
Batch 60, loss = 146.5963, recon_loss = 142.3373, kl_loss = 4.2590
Average loss: 298.5717
Epoch: 103
Batch 30, loss = 177.2025, recon_loss = 172.8124, kl_loss = 4.3902
Batch 60, loss = 137.0901, recon_loss = 132.8371, kl_loss = 4.2531
Average loss: 285.7297
Epoch: 104
Batch 30, loss = 187.8254, recon_loss = 183.5188, kl_loss = 4.3066
Batch 60, loss = 548.9186, recon_loss = 544.0165, kl_loss = 4.9020
Average loss: 268.6975
Epoch: 105
Batch 30, loss = 78.2737, recon_loss = 73.9529, kl_loss = 4.3208
Batch 60, loss = 63.1689, recon_loss = 58.9418, kl_loss = 4.2271
Average loss: 262.9738
Epoch: 106
Batch 30, loss = 1108.8805, recon_loss = 1104.0231, kl_loss = 4.8574
Batch 60, loss = 144.2421, recon_loss = 139.9108, kl_loss = 4.3313
Average loss: 273.3349
Epoch: 107
Batch 30, loss = 51.8017, recon_loss = 47.5037, kl_loss = 4.2980
Batch 60, loss = 233.7009, recon_loss = 229.6820, kl_loss = 4.0190
Average loss: 275.1156
Epoch: 108
Batch 30, loss = 431.3856, recon_loss = 426.9603, kl_loss = 4.4253
Batch 60, loss = 670.7421, recon_loss = 666.2694, kl_loss = 4.4727
Average loss: 281.6622
Epoch: 109
Batch 30, loss = 189.8250, recon_loss = 185.6108, kl_loss = 4.2142
Batch 60, loss = 43.2287, recon_loss = 38.9031, kl_loss = 4.3256
Average loss: 285.1121
Epoch: 110
Batch 30, loss = 183.4491, recon_loss = 179.1680, kl_loss = 4.2810
Batch 60, loss = 127.0836, recon_loss = 122.6423, kl_loss = 4.4413
Average loss: 266.9797
Epoch: 111
Batch 30, loss = 649.3651, recon_loss = 644.4449, kl_loss = 4.9202
Batch 60, loss = 109.4027, recon_loss = 105.0865, kl_loss = 4.3162
Average loss: 262.6237
Epoch: 112
Batch 30, loss = 1258.6503, recon_loss = 1253.9009, kl_loss = 4.7494
Batch 60, loss = 184.4661, recon_loss = 180.1641, kl_loss = 4.3020
Average loss: 252.9635
Epoch: 113
Batch 30, loss = 95.8253, recon_loss = 91.5413, kl_loss = 4.2841
Batch 60, loss = 122.2409, recon_loss = 117.8975, kl_loss = 4.3433
Average loss: 267.2070
Epoch: 114
Batch 30, loss = 1434.1641, recon_loss = 1429.3958, kl_loss = 4.7683
Batch 60, loss = 45.1368, recon_loss = 40.9755, kl_loss = 4.1614
Average loss: 271.4046
Epoch: 115
Batch 30, loss = 681.6707, recon_loss = 677.0408, kl_loss = 4.6299
Batch 60, loss = 96.9050, recon_loss = 92.6759, kl_loss = 4.2291
Average loss: 295.8885
Epoch: 116
Batch 30, loss = 69.4776, recon_loss = 65.0444, kl_loss = 4.4332
Batch 60, loss = 132.1771, recon_loss = 128.1620, kl_loss = 4.0151
Average loss: 261.5658
Epoch: 117
Batch 30, loss = 190.3593, recon_loss = 186.0581, kl_loss = 4.3012
Batch 60, loss = 215.5216, recon_loss = 211.2645, kl_loss = 4.2571
Average loss: 260.1977
Epoch: 118
Batch 30, loss = 67.5302, recon_loss = 63.2631, kl_loss = 4.2671
Batch 60, loss = 44.3831, recon_loss = 40.0871, kl_loss = 4.2960
Average loss: 253.5817
Epoch: 119
Batch 30, loss = 202.9939, recon_loss = 198.7594, kl_loss = 4.2345
Batch 60, loss = 82.7181, recon_loss = 78.6895, kl_loss = 4.0286
Average loss: 264.2439
Epoch: 120
Batch 30, loss = 124.4394, recon_loss = 120.4435, kl_loss = 3.9959
Batch 60, loss = 292.4318, recon_loss = 287.9664, kl_loss = 4.4655
Average loss: 247.2758
Epoch: 121
Batch 30, loss = 122.5689, recon_loss = 118.5144, kl_loss = 4.0545
Batch 60, loss = 32.9871, recon_loss = 28.9598, kl_loss = 4.0273
Average loss: 260.6917
Epoch: 122
Batch 30, loss = 1007.0665, recon_loss = 1002.6315, kl_loss = 4.4350
Batch 60, loss = 116.5412, recon_loss = 112.4272, kl_loss = 4.1140
Average loss: 245.7224
Epoch: 123
Batch 30, loss = 1394.8433, recon_loss = 1390.4204, kl_loss = 4.4228
Batch 60, loss = 160.1987, recon_loss = 156.0786, kl_loss = 4.1201
Average loss: 245.7445
Epoch: 124
Batch 30, loss = 158.1571, recon_loss = 153.8386, kl_loss = 4.3185
Batch 60, loss = 384.6867, recon_loss = 380.3411, kl_loss = 4.3456
Average loss: 310.8040
Epoch: 125
Batch 30, loss = 139.0455, recon_loss = 134.8085, kl_loss = 4.2370
Batch 60, loss = 185.3419, recon_loss = 181.0120, kl_loss = 4.3299
Average loss: 252.8978
Epoch: 126
Batch 30, loss = 122.4818, recon_loss = 118.5455, kl_loss = 3.9363
Batch 60, loss = 83.5465, recon_loss = 79.4785, kl_loss = 4.0680
Average loss: 255.7754
Epoch: 127
Batch 30, loss = 172.6599, recon_loss = 168.4570, kl_loss = 4.2028
Batch 60, loss = 141.1824, recon_loss = 136.9551, kl_loss = 4.2274
Average loss: 245.0614
Epoch: 128
Batch 30, loss = 224.2049, recon_loss = 220.0575, kl_loss = 4.1474
Batch 60, loss = 95.4489, recon_loss = 91.3804, kl_loss = 4.0685
Average loss: 247.1476
Epoch: 129
Batch 30, loss = 1128.1638, recon_loss = 1123.7922, kl_loss = 4.3716
Batch 60, loss = 147.3010, recon_loss = 142.8952, kl_loss = 4.4058
Average loss: 247.4179
Epoch: 130
Batch 30, loss = 39.8740, recon_loss = 35.7567, kl_loss = 4.1173
Batch 60, loss = 59.3108, recon_loss = 54.9627, kl_loss = 4.3481
Average loss: 237.7824
Epoch: 131
Batch 30, loss = 108.8744, recon_loss = 104.8268, kl_loss = 4.0476
Batch 60, loss = 160.1571, recon_loss = 155.9494, kl_loss = 4.2077
Average loss: 234.4026
Epoch: 132
Batch 30, loss = 517.9694, recon_loss = 513.3155, kl_loss = 4.6539
Batch 60, loss = 102.7736, recon_loss = 98.5709, kl_loss = 4.2027
Average loss: 232.0117
Epoch: 133
Batch 30, loss = 1416.9708, recon_loss = 1412.3802, kl_loss = 4.5905
Batch 60, loss = 88.2793, recon_loss = 84.0121, kl_loss = 4.2673
Average loss: 243.0695
Epoch: 134
Batch 30, loss = 140.0678, recon_loss = 135.8540, kl_loss = 4.2139
Batch 60, loss = 90.0308, recon_loss = 85.8107, kl_loss = 4.2201
Average loss: 262.6362
Epoch: 135
Batch 30, loss = 102.4831, recon_loss = 98.2710, kl_loss = 4.2121
Batch 60, loss = 56.3596, recon_loss = 51.9180, kl_loss = 4.4416
Average loss: 256.1840
Epoch: 136
Batch 30, loss = 51.4940, recon_loss = 47.1467, kl_loss = 4.3473
Batch 60, loss = 80.9380, recon_loss = 76.6721, kl_loss = 4.2659
Average loss: 253.4827
Epoch: 137
Batch 30, loss = 98.6511, recon_loss = 94.5257, kl_loss = 4.1254
Batch 60, loss = 80.6315, recon_loss = 76.4221, kl_loss = 4.2093
Average loss: 235.5182
Epoch: 138
Batch 30, loss = 126.2264, recon_loss = 122.1512, kl_loss = 4.0753
Batch 60, loss = 1358.5707, recon_loss = 1354.0748, kl_loss = 4.4958
Average loss: 240.6892
Epoch: 139
Batch 30, loss = 50.4387, recon_loss = 46.3619, kl_loss = 4.0768
Batch 60, loss = 124.1321, recon_loss = 120.0373, kl_loss = 4.0948
Average loss: 225.1772
Epoch: 140
Batch 30, loss = 377.6785, recon_loss = 373.2176, kl_loss = 4.4609
Batch 60, loss = 127.1277, recon_loss = 122.7792, kl_loss = 4.3485
Average loss: 233.2097
Epoch: 141
Batch 30, loss = 144.5998, recon_loss = 140.2922, kl_loss = 4.3076
Batch 60, loss = 122.1760, recon_loss = 118.0100, kl_loss = 4.1660
Average loss: 220.3905
Epoch: 142
Batch 30, loss = 120.0264, recon_loss = 115.6935, kl_loss = 4.3329
Batch 60, loss = 77.8558, recon_loss = 73.6797, kl_loss = 4.1761
Average loss: 229.8905
Epoch: 143
Batch 30, loss = 72.5928, recon_loss = 68.4253, kl_loss = 4.1675
Batch 60, loss = 113.4973, recon_loss = 109.3228, kl_loss = 4.1745
Average loss: 220.0543
Epoch: 144
Batch 30, loss = 55.3642, recon_loss = 51.3306, kl_loss = 4.0336
Batch 60, loss = 242.7572, recon_loss = 238.5001, kl_loss = 4.2571
Average loss: 235.2359
Epoch: 145
Batch 30, loss = 63.0305, recon_loss = 58.9078, kl_loss = 4.1226
Batch 60, loss = 1144.3795, recon_loss = 1139.7435, kl_loss = 4.6360
Average loss: 230.4741
Epoch: 146
Batch 30, loss = 59.5881, recon_loss = 55.3776, kl_loss = 4.2104
Batch 60, loss = 38.0125, recon_loss = 33.9326, kl_loss = 4.0798
Average loss: 217.9289
Epoch: 147
Batch 30, loss = 111.8783, recon_loss = 107.7986, kl_loss = 4.0798
Batch 60, loss = 37.0019, recon_loss = 32.8992, kl_loss = 4.1026
Average loss: 217.5761
Epoch: 148
Batch 30, loss = 100.7868, recon_loss = 96.6552, kl_loss = 4.1316
Batch 60, loss = 76.7393, recon_loss = 72.6616, kl_loss = 4.0777
Average loss: 223.6110
Epoch: 149
Batch 30, loss = 80.4597, recon_loss = 76.5577, kl_loss = 3.9020
Batch 60, loss = 60.1688, recon_loss = 55.9075, kl_loss = 4.2613
Average loss: 224.3046
Epoch: 150
Batch 30, loss = 330.9773, recon_loss = 326.3309, kl_loss = 4.6464
Batch 60, loss = 39.5437, recon_loss = 35.3340, kl_loss = 4.2097
Average loss: 220.3325
Epoch: 151
Batch 30, loss = 570.8961, recon_loss = 566.4869, kl_loss = 4.4092
Batch 60, loss = 104.9001, recon_loss = 100.7280, kl_loss = 4.1721
Average loss: 208.3038
Epoch: 152
Batch 30, loss = 119.0022, recon_loss = 114.8944, kl_loss = 4.1078
Batch 60, loss = 111.0498, recon_loss = 106.8172, kl_loss = 4.2325
Average loss: 221.6041
Epoch: 153
Batch 30, loss = 120.3777, recon_loss = 116.2686, kl_loss = 4.1090
Batch 60, loss = 113.4303, recon_loss = 109.3753, kl_loss = 4.0549
Average loss: 202.4447
Epoch: 154
Batch 30, loss = 40.4832, recon_loss = 36.4183, kl_loss = 4.0649
Batch 60, loss = 80.1436, recon_loss = 76.1328, kl_loss = 4.0108
Average loss: 220.6716
Epoch: 155
Batch 30, loss = 99.6887, recon_loss = 95.6725, kl_loss = 4.0162
Batch 60, loss = 56.5542, recon_loss = 52.4263, kl_loss = 4.1279
Average loss: 219.1874
Epoch: 156
Batch 30, loss = 83.4702, recon_loss = 79.3717, kl_loss = 4.0985
Batch 60, loss = 106.4434, recon_loss = 102.2475, kl_loss = 4.1959
Average loss: 223.2386
Epoch: 157
Batch 30, loss = 163.9365, recon_loss = 160.0511, kl_loss = 3.8854
Batch 60, loss = 45.8444, recon_loss = 41.8516, kl_loss = 3.9927
Average loss: 257.4399
Epoch: 158
Batch 30, loss = 1365.9050, recon_loss = 1361.2749, kl_loss = 4.6301
Batch 60, loss = 61.8105, recon_loss = 57.8414, kl_loss = 3.9691
Average loss: 214.7626
Epoch: 159
Batch 30, loss = 1036.1816, recon_loss = 1031.6847, kl_loss = 4.4969
Batch 60, loss = 223.1247, recon_loss = 218.9874, kl_loss = 4.1374
Average loss: 215.3744
Epoch: 160
Batch 30, loss = 105.0751, recon_loss = 101.0703, kl_loss = 4.0048
Batch 60, loss = 94.0478, recon_loss = 90.0835, kl_loss = 3.9643
Average loss: 209.8603
Epoch: 161
Batch 30, loss = 121.3984, recon_loss = 117.2078, kl_loss = 4.1905
Batch 60, loss = 1078.7921, recon_loss = 1074.3184, kl_loss = 4.4737
Average loss: 230.0566
Epoch: 162
Batch 30, loss = 99.1097, recon_loss = 95.1077, kl_loss = 4.0020
Batch 60, loss = 81.9311, recon_loss = 77.9545, kl_loss = 3.9766
Average loss: 215.7191
Epoch: 163
Batch 30, loss = 219.7788, recon_loss = 215.4962, kl_loss = 4.2826
Batch 60, loss = 59.9980, recon_loss = 55.8725, kl_loss = 4.1255
Average loss: 240.8993
Epoch: 164
Batch 30, loss = 51.3724, recon_loss = 47.3258, kl_loss = 4.0465
Batch 60, loss = 55.1006, recon_loss = 51.1622, kl_loss = 3.9383
Average loss: 210.9631
Epoch: 165
Batch 30, loss = 76.0174, recon_loss = 72.0055, kl_loss = 4.0119
Batch 60, loss = 96.8948, recon_loss = 92.8417, kl_loss = 4.0530
Average loss: 200.6161
Epoch: 166
Batch 30, loss = 95.9096, recon_loss = 91.8986, kl_loss = 4.0110
Batch 60, loss = 102.3205, recon_loss = 98.4364, kl_loss = 3.8842
Average loss: 221.5633
Epoch: 167
Batch 30, loss = 165.4481, recon_loss = 161.2533, kl_loss = 4.1949
Batch 60, loss = 96.7617, recon_loss = 92.6595, kl_loss = 4.1022
Average loss: 205.3637
Epoch: 168
Batch 30, loss = 99.8734, recon_loss = 95.8930, kl_loss = 3.9804
Batch 60, loss = 47.5641, recon_loss = 43.7017, kl_loss = 3.8624
Average loss: 215.2507
Epoch: 169
Batch 30, loss = 291.9765, recon_loss = 287.8896, kl_loss = 4.0869
Batch 60, loss = 218.3429, recon_loss = 214.0731, kl_loss = 4.2698
Average loss: 208.8045
Epoch: 170
Batch 30, loss = 163.5486, recon_loss = 159.2902, kl_loss = 4.2584
Batch 60, loss = 108.2536, recon_loss = 104.0577, kl_loss = 4.1959
Average loss: 215.8241
Epoch: 171
Batch 30, loss = 58.3768, recon_loss = 54.3159, kl_loss = 4.0610
Batch 60, loss = 76.8120, recon_loss = 72.7330, kl_loss = 4.0790
Average loss: 211.1108
Epoch: 172
Batch 30, loss = 82.2034, recon_loss = 78.1369, kl_loss = 4.0665
Batch 60, loss = 58.8665, recon_loss = 54.7968, kl_loss = 4.0697
Average loss: 193.2689
Epoch: 173
Batch 30, loss = 110.3804, recon_loss = 106.2340, kl_loss = 4.1464
Batch 60, loss = 265.0362, recon_loss = 260.9251, kl_loss = 4.1111
Average loss: 213.3122
Epoch: 174
Batch 30, loss = 213.6508, recon_loss = 209.4663, kl_loss = 4.1845
Batch 60, loss = 154.4958, recon_loss = 150.3476, kl_loss = 4.1482
Average loss: 201.9792
Epoch: 175
Batch 30, loss = 243.0413, recon_loss = 238.8210, kl_loss = 4.2204
Batch 60, loss = 62.1172, recon_loss = 58.0423, kl_loss = 4.0749
Average loss: 196.8164
Epoch: 176
Batch 30, loss = 195.5185, recon_loss = 191.3012, kl_loss = 4.2173
Batch 60, loss = 77.6366, recon_loss = 73.6492, kl_loss = 3.9873
Average loss: 200.9930
Epoch: 177
Batch 30, loss = 73.2920, recon_loss = 69.1488, kl_loss = 4.1432
Batch 60, loss = 60.5798, recon_loss = 56.4887, kl_loss = 4.0911
Average loss: 206.8531
Epoch: 178
Batch 30, loss = 88.7891, recon_loss = 84.7563, kl_loss = 4.0327
Batch 60, loss = 70.9908, recon_loss = 67.0895, kl_loss = 3.9013
Average loss: 204.6448
Epoch: 179
Batch 30, loss = 64.2561, recon_loss = 60.2682, kl_loss = 3.9878
Batch 60, loss = 140.2957, recon_loss = 136.2833, kl_loss = 4.0124
Average loss: 206.9573
Epoch: 180
Batch 30, loss = 298.4659, recon_loss = 294.4789, kl_loss = 3.9871
Batch 60, loss = 192.4810, recon_loss = 188.4691, kl_loss = 4.0119
Average loss: 198.6507
Epoch: 181
Batch 30, loss = 234.7491, recon_loss = 230.7079, kl_loss = 4.0411
Batch 60, loss = 320.5755, recon_loss = 316.6260, kl_loss = 3.9495
Average loss: 195.8266
Epoch: 182
Batch 30, loss = 114.3073, recon_loss = 110.3073, kl_loss = 4.0000
Batch 60, loss = 47.7370, recon_loss = 43.8378, kl_loss = 3.8992
Average loss: 213.7657
Epoch: 183
Batch 30, loss = 729.2990, recon_loss = 724.9399, kl_loss = 4.3590
Batch 60, loss = 45.9713, recon_loss = 41.9008, kl_loss = 4.0705
Average loss: 200.1824
Epoch: 184
Batch 30, loss = 48.3849, recon_loss = 44.4580, kl_loss = 3.9269
Batch 60, loss = 94.4905, recon_loss = 90.3440, kl_loss = 4.1465
Average loss: 210.6030
Epoch: 185
Batch 30, loss = 78.5960, recon_loss = 74.6565, kl_loss = 3.9396
Batch 60, loss = 56.5993, recon_loss = 52.7480, kl_loss = 3.8513
Average loss: 202.2871
Epoch: 186
Batch 30, loss = 67.4968, recon_loss = 63.5850, kl_loss = 3.9118
Batch 60, loss = 110.4322, recon_loss = 106.3726, kl_loss = 4.0596
Average loss: 196.2323
Epoch: 187
Batch 30, loss = 120.2693, recon_loss = 116.3361, kl_loss = 3.9331
Batch 60, loss = 76.8371, recon_loss = 72.8044, kl_loss = 4.0327
Average loss: 189.8051
Epoch: 188
Batch 30, loss = 119.0838, recon_loss = 115.0843, kl_loss = 3.9996
Batch 60, loss = 785.7401, recon_loss = 781.2798, kl_loss = 4.4602
Average loss: 200.7897
Epoch: 189
Batch 30, loss = 98.7217, recon_loss = 94.7529, kl_loss = 3.9688
Batch 60, loss = 216.0865, recon_loss = 211.8546, kl_loss = 4.2319
Average loss: 200.8019
Epoch: 190
Batch 30, loss = 192.6474, recon_loss = 188.4283, kl_loss = 4.2191
Batch 60, loss = 84.0102, recon_loss = 80.0658, kl_loss = 3.9443
Average loss: 208.5620
Epoch: 191
Batch 30, loss = 686.8900, recon_loss = 682.4196, kl_loss = 4.4703
Batch 60, loss = 623.9493, recon_loss = 619.6454, kl_loss = 4.3039
Average loss: 199.9381
Epoch: 192
Batch 30, loss = 206.3900, recon_loss = 202.3528, kl_loss = 4.0372
Batch 60, loss = 79.9817, recon_loss = 76.0885, kl_loss = 3.8932
Average loss: 205.3853
Epoch: 193
Batch 30, loss = 66.8595, recon_loss = 62.9695, kl_loss = 3.8899
Batch 60, loss = 377.2561, recon_loss = 372.8612, kl_loss = 4.3949
Average loss: 196.0193
Epoch: 194
Batch 30, loss = 373.0735, recon_loss = 368.8234, kl_loss = 4.2500
Batch 60, loss = 208.5902, recon_loss = 204.5389, kl_loss = 4.0513
Average loss: 215.2444
Epoch: 195
Batch 30, loss = 98.7662, recon_loss = 94.8945, kl_loss = 3.8717
Batch 60, loss = 195.2670, recon_loss = 191.3376, kl_loss = 3.9294
Average loss: 193.1769
Epoch: 196
Batch 30, loss = 41.6925, recon_loss = 38.1229, kl_loss = 3.5697
Batch 60, loss = 36.3957, recon_loss = 32.6255, kl_loss = 3.7702
Average loss: 209.8210
Epoch: 197
Batch 30, loss = 53.2710, recon_loss = 49.3196, kl_loss = 3.9514