Starting Vamb version 3.0.8 Date and time is 2023-02-25 00:52:48.401582 Loading TNF Minimum sequence length: 100 Loading data from FASTA file all_PLSF.fa Kept 32311377902 bases in 13305138 sequences Processed TNF in 591.59 seconds Loading RPKM Reference hash: d5fa13363b6d9866127d16da998d65bd Loading RPKM from JGI file depth.txt Processed RPKM in 2741.9 seconds Creating and training VAE Created VAE Created dataloader and mask Number of sequences unsuitable for encoding: 4 Number of sequences remaining: 13305134 Network properties: CUDA: False Alpha: 0.15 Beta: 200.0 Dropout: 0.2 N hidden: 512, 512 N latent: 32 Training properties: N epochs: 500 Starting batch size: 256 Batchsteps: 25, 75, 150, 300 Learning rate: 0.001 N sequences: 13305134 N samples: 184 Epoch: 1 Loss: 0.622341 CE: 3.3852511 SSE: 37.307179 KLD: 103.9147 Batchsize: 256 Epoch: 2 Loss: 0.613485 CE: 3.3386693 SSE: 36.274410 KLD: 105.4549 Batchsize: 256 Epoch: 3 Loss: 0.612157 CE: 3.3316645 SSE: 36.092616 KLD: 105.9572 Batchsize: 256 Epoch: 4 Loss: 0.611481 CE: 3.3281455 SSE: 35.999751 KLD: 106.1683 Batchsize: 256 Epoch: 5 Loss: 0.611053 CE: 3.3259195 SSE: 35.934782 KLD: 106.3529 Batchsize: 256 Epoch: 6 Loss: 0.610744 CE: 3.3243214 SSE: 35.892435 KLD: 106.4369 Batchsize: 256 Epoch: 7 Loss: 0.610488 CE: 3.3230733 SSE: 35.846319 KLD: 106.5299 Batchsize: 256 Epoch: 8 Loss: 0.610290 CE: 3.3220882 SSE: 35.810964 KLD: 106.6253 Batchsize: 256 Epoch: 9 Loss: 0.610111 CE: 3.3212428 SSE: 35.778065 KLD: 106.6659 Batchsize: 256 Epoch: 10 Loss: 0.609970 CE: 3.3205780 SSE: 35.746911 KLD: 106.7460 Batchsize: 256 Epoch: 11 Loss: 0.609854 CE: 3.3199622 SSE: 35.729277 KLD: 106.8088 Batchsize: 256 Epoch: 12 Loss: 0.609730 CE: 3.3194009 SSE: 35.704395 KLD: 106.8363 Batchsize: 256 Epoch: 13 Loss: 0.609625 CE: 3.3189219 SSE: 35.680773 KLD: 106.8827 Batchsize: 256 Epoch: 14 Loss: 0.609539 CE: 3.3185349 SSE: 35.661890 KLD: 106.9128 Batchsize: 256 Epoch: 15 Loss: 0.609459 CE: 3.3181345 SSE: 35.648367 KLD: 106.9453 Batchsize: 256 Epoch: 16 Loss: 0.609380 CE: 3.3178083 SSE: 35.629218 KLD: 106.9569 Batchsize: 256 Epoch: 17 Loss: 0.609322 CE: 3.3175093 SSE: 35.617306 KLD: 107.0056 Batchsize: 256 Epoch: 18 Loss: 0.609248 CE: 3.3171876 SSE: 35.601562 KLD: 107.0159 Batchsize: 256 Epoch: 19 Loss: 0.609191 CE: 3.3169053 SSE: 35.590320 KLD: 107.0490 Batchsize: 256 Epoch: 20 Loss: 0.609135 CE: 3.3166784 SSE: 35.574463 KLD: 107.0771 Batchsize: 256 Epoch: 21 Loss: 0.609087 CE: 3.3164471 SSE: 35.566836 KLD: 107.0826 Batchsize: 256 Epoch: 22 Loss: 0.609043 CE: 3.3162198 SSE: 35.558832 KLD: 107.1115 Batchsize: 256 Epoch: 23 Loss: 0.609001 CE: 3.3159731 SSE: 35.552307 KLD: 107.1616 Batchsize: 256 Epoch: 24 Loss: 0.608958 CE: 3.3158258 SSE: 35.538651 KLD: 107.1654 Batchsize: 256 Epoch: 25 Loss: 0.608905 CE: 3.3156190 SSE: 35.527108 KLD: 107.1547 Batchsize: 256 Epoch: 26 Loss: 0.607075 CE: 3.3098340 SSE: 34.930224 KLD: 107.0364 Batchsize: 512 Epoch: 27 Loss: 0.607009 CE: 3.3095300 SSE: 34.909136 KLD: 107.1285 Batchsize: 512 Epoch: 28 Loss: 0.606978 CE: 3.3094096 SSE: 34.898245 KLD: 107.1559 Batchsize: 512 Epoch: 29 Loss: 0.606944 CE: 3.3092844 SSE: 34.888649 KLD: 107.1639 Batchsize: 512 Epoch: 30 Loss: 0.606925 CE: 3.3092121 SSE: 34.880787 KLD: 107.1902 Batchsize: 512 Epoch: 31 Loss: 0.606895 CE: 3.3090613 SSE: 34.878102 KLD: 107.1761 Batchsize: 512 Epoch: 32 Loss: 0.606878 CE: 3.3089510 SSE: 34.875209 KLD: 107.2096 Batchsize: 512 Epoch: 33 Loss: 0.606847 CE: 3.3088273 SSE: 34.867402 KLD: 107.2119 Batchsize: 512 Epoch: 34 Loss: 0.606841 CE: 3.3087850 SSE: 34.864151 KLD: 107.2479 Batchsize: 512 Epoch: 35 Loss: 0.606811 CE: 3.3086630 SSE: 34.859159 KLD: 107.2339 Batchsize: 512 Epoch: 36 Loss: 0.606791 CE: 3.3085783 SSE: 34.855426 KLD: 107.2299 Batchsize: 512 Epoch: 37 Loss: 0.606776 CE: 3.3084966 SSE: 34.852155 KLD: 107.2460 Batchsize: 512 Epoch: 38 Loss: 0.606753 CE: 3.3083859 SSE: 34.848614 KLD: 107.2508 Batchsize: 512 Epoch: 39 Loss: 0.606740 CE: 3.3083203 SSE: 34.847235 KLD: 107.2499 Batchsize: 512 Epoch: 40 Loss: 0.606710 CE: 3.3082264 SSE: 34.835865 KLD: 107.2594 Batchsize: 512 Epoch: 41 Loss: 0.606694 CE: 3.3081564 SSE: 34.833114 KLD: 107.2523 Batchsize: 512 Epoch: 42 Loss: 0.606678 CE: 3.3080621 SSE: 34.829180 KLD: 107.2869 Batchsize: 512 Epoch: 43 Loss: 0.606665 CE: 3.3080387 SSE: 34.822639 KLD: 107.2920 Batchsize: 512 Epoch: 44 Loss: 0.606642 CE: 3.3079149 SSE: 34.823495 KLD: 107.2651 Batchsize: 512 Epoch: 45 Loss: 0.606630 CE: 3.3078538 SSE: 34.818025 KLD: 107.2988 Batchsize: 512 Epoch: 46 Loss: 0.606614 CE: 3.3077912 SSE: 34.814131 KLD: 107.3029 Batchsize: 512 Epoch: 47 Loss: 0.606598 CE: 3.3076866 SSE: 34.813846 KLD: 107.3100 Batchsize: 512 Epoch: 48 Loss: 0.606581 CE: 3.3076346 SSE: 34.808229 KLD: 107.3100 Batchsize: 512 Epoch: 49 Loss: 0.606561 CE: 3.3075323 SSE: 34.805253 KLD: 107.3118 Batchsize: 512 Epoch: 50 Loss: 0.606558 CE: 3.3074923 SSE: 34.804730 KLD: 107.3389 Batchsize: 512 Epoch: 51 Loss: 0.606533 CE: 3.3074415 SSE: 34.794799 KLD: 107.3256 Batchsize: 512 Epoch: 52 Loss: 0.606524 CE: 3.3073581 SSE: 34.796834 KLD: 107.3377 Batchsize: 512 Epoch: 53 Loss: 0.606514 CE: 3.3073065 SSE: 34.795213 KLD: 107.3448 Batchsize: 512 Epoch: 54 Loss: 0.606500 CE: 3.3072644 SSE: 34.789760 KLD: 107.3480 Batchsize: 512 Epoch: 55 Loss: 0.606491 CE: 3.3072069 SSE: 34.791004 KLD: 107.3396 Batchsize: 512 Epoch: 56 Loss: 0.606475 CE: 3.3071496 SSE: 34.783868 KLD: 107.3643 Batchsize: 512 Epoch: 57 Loss: 0.606463 CE: 3.3071037 SSE: 34.782827 KLD: 107.3448 Batchsize: 512 Epoch: 58 Loss: 0.606449 CE: 3.3070325 SSE: 34.780912 KLD: 107.3447 Batchsize: 512 Epoch: 59 Loss: 0.606433 CE: 3.3069407 SSE: 34.780431 KLD: 107.3462 Batchsize: 512 Epoch: 60 Loss: 0.606438 CE: 3.3069489 SSE: 34.780349 KLD: 107.3705 Batchsize: 512 Epoch: 61 Loss: 0.606422 CE: 3.3068881 SSE: 34.775363 KLD: 107.3738 Batchsize: 512 Epoch: 62 Loss: 0.606415 CE: 3.3068398 SSE: 34.775952 KLD: 107.3756 Batchsize: 512 Epoch: 63 Loss: 0.606398 CE: 3.3067945 SSE: 34.769265 KLD: 107.3764 Batchsize: 512 Epoch: 64 Loss: 0.606390 CE: 3.3067426 SSE: 34.767001 KLD: 107.3986 Batchsize: 512 Epoch: 65 Loss: 0.606379 CE: 3.3066819 SSE: 34.767940 KLD: 107.3843 Batchsize: 512 Epoch: 66 Loss: 0.606369 CE: 3.3066172 SSE: 34.765614 KLD: 107.4103 Batchsize: 512 Epoch: 67 Loss: 0.606374 CE: 3.3066117 SSE: 34.767761 KLD: 107.4303 Batchsize: 512 Epoch: 68 Loss: 0.606361 CE: 3.3065512 SSE: 34.767290 KLD: 107.4107 Batchsize: 512 Epoch: 69 Loss: 0.606347 CE: 3.3065071 SSE: 34.762724 KLD: 107.4088 Batchsize: 512 Epoch: 70 Loss: 0.606340 CE: 3.3064697 SSE: 34.761901 KLD: 107.4130 Batchsize: 512 Epoch: 71 Loss: 0.606326 CE: 3.3064036 SSE: 34.757996 KLD: 107.4312 Batchsize: 512 Epoch: 72 Loss: 0.606331 CE: 3.3064319 SSE: 34.759210 KLD: 107.4209 Batchsize: 512 Epoch: 73 Loss: 0.606304 CE: 3.3063252 SSE: 34.755786 KLD: 107.3914 Batchsize: 512 Epoch: 74 Loss: 0.606300 CE: 3.3063118 SSE: 34.751176 KLD: 107.4237 Batchsize: 512 Epoch: 75 Loss: 0.606289 CE: 3.3062668 SSE: 34.747201 KLD: 107.4363 Batchsize: 512 Epoch: 76 Loss: 0.605154 CE: 3.3029758 SSE: 34.342899 KLD: 107.3697 Batchsize: 1024 Epoch: 77 Loss: 0.605127 CE: 3.3029070 SSE: 34.327471 KLD: 107.4168 Batchsize: 1024 Epoch: 78 Loss: 0.605124 CE: 3.3028489 SSE: 34.328662 KLD: 107.4460 Batchsize: 1024 Epoch: 79 Loss: 0.605118 CE: 3.3027910 SSE: 34.329898 KLD: 107.4583 Batchsize: 1024 Epoch: 80 Loss: 0.605104 CE: 3.3027133 SSE: 34.326395 KLD: 107.4791 Batchsize: 1024 Epoch: 81 Loss: 0.605092 CE: 3.3026997 SSE: 34.323056 KLD: 107.4458 Batchsize: 1024 Epoch: 82 Loss: 0.605092 CE: 3.3026676 SSE: 34.324433 KLD: 107.4672 Batchsize: 1024 Epoch: 83 Loss: 0.605084 CE: 3.3026370 SSE: 34.322592 KLD: 107.4683 Batchsize: 1024 Epoch: 84 Loss: 0.605071 CE: 3.3026065 SSE: 34.317190 KLD: 107.4675 Batchsize: 1024 Epoch: 85 Loss: 0.605060 CE: 3.3025331 SSE: 34.316633 KLD: 107.4788 Batchsize: 1024 Epoch: 86 Loss: 0.605072 CE: 3.3025496 SSE: 34.321919 KLD: 107.4883 Batchsize: 1024 Epoch: 87 Loss: 0.605062 CE: 3.3025171 SSE: 34.318743 KLD: 107.4861 Batchsize: 1024 Epoch: 88 Loss: 0.605047 CE: 3.3024705 SSE: 34.315169 KLD: 107.4744 Batchsize: 1024 Epoch: 89 Loss: 0.605044 CE: 3.3024591 SSE: 34.312751 KLD: 107.4908 Batchsize: 1024 Epoch: 90 Loss: 0.605051 CE: 3.3024673 SSE: 34.314535 KLD: 107.5068 Batchsize: 1024 Epoch: 91 Loss: 0.605039 CE: 3.3024496 SSE: 34.309456 KLD: 107.4978 Batchsize: 1024 Epoch: 92 Loss: 0.605029 CE: 3.3023912 SSE: 34.309040 KLD: 107.4993 Batchsize: 1024 Epoch: 93 Loss: 0.605027 CE: 3.3023830 SSE: 34.308395 KLD: 107.4978 Batchsize: 1024 Epoch: 94 Loss: 0.605023 CE: 3.3023627 SSE: 34.308590 KLD: 107.4954 Batchsize: 1024 Epoch: 95 Loss: 0.605017 CE: 3.3023390 SSE: 34.305666 KLD: 107.5067 Batchsize: 1024 Epoch: 96 Loss: 0.605011 CE: 3.3022823 SSE: 34.306599 KLD: 107.5185 Batchsize: 1024 Epoch: 97 Loss: 0.605004 CE: 3.3022633 SSE: 34.304034 KLD: 107.5176 Batchsize: 1024 Epoch: 98 Loss: 0.604999 CE: 3.3022568 SSE: 34.303034 KLD: 107.5019 Batchsize: 1024 Epoch: 99 Loss: 0.604997 CE: 3.3022407 SSE: 34.300944 KLD: 107.5237 Batchsize: 1024 Epoch: 100 Loss: 0.604991 CE: 3.3022218 SSE: 34.299087 KLD: 107.5246 Batchsize: 1024 Epoch: 101 Loss: 0.604985 CE: 3.3021851 SSE: 34.298791 KLD: 107.5267 Batchsize: 1024 Epoch: 102 Loss: 0.604981 CE: 3.3021866 SSE: 34.298455 KLD: 107.5037 Batchsize: 1024 Epoch: 103 Loss: 0.604974 CE: 3.3021369 SSE: 34.297207 KLD: 107.5232 Batchsize: 1024 Epoch: 104 Loss: 0.604972 CE: 3.3021509 SSE: 34.295730 KLD: 107.5077 Batchsize: 1024 Epoch: 105 Loss: 0.604965 CE: 3.3021106 SSE: 34.291802 KLD: 107.5421 Batchsize: 1024 Epoch: 106 Loss: 0.604966 CE: 3.3020990 SSE: 34.294615 KLD: 107.5359 Batchsize: 1024 Epoch: 107 Loss: 0.604962 CE: 3.3020779 SSE: 34.294646 KLD: 107.5281 Batchsize: 1024 Epoch: 108 Loss: 0.604958 CE: 3.3020814 SSE: 34.291118 KLD: 107.5362 Batchsize: 1024 Epoch: 109 Loss: 0.604949 CE: 3.3020284 SSE: 34.291126 KLD: 107.5306 Batchsize: 1024 Epoch: 110 Loss: 0.604946 CE: 3.3020168 SSE: 34.288118 KLD: 107.5545 Batchsize: 1024 Epoch: 111 Loss: 0.604946 CE: 3.3020241 SSE: 34.288297 KLD: 107.5447 Batchsize: 1024 Epoch: 112 Loss: 0.604937 CE: 3.3019866 SSE: 34.289115 KLD: 107.5176 Batchsize: 1024 Epoch: 113 Loss: 0.604930 CE: 3.3019559 SSE: 34.284728 KLD: 107.5456 Batchsize: 1024 Epoch: 114 Loss: 0.604934 CE: 3.3019622 SSE: 34.286007 KLD: 107.5525 Batchsize: 1024 Epoch: 115 Loss: 0.604919 CE: 3.3018933 SSE: 34.283597 KLD: 107.5472 Batchsize: 1024 Epoch: 116 Loss: 0.604923 CE: 3.3019113 SSE: 34.285229 KLD: 107.5395 Batchsize: 1024 Epoch: 117 Loss: 0.604914 CE: 3.3018896 SSE: 34.281815 KLD: 107.5411 Batchsize: 1024 Epoch: 118 Loss: 0.604912 CE: 3.3018855 SSE: 34.280929 KLD: 107.5379 Batchsize: 1024 Epoch: 119 Loss: 0.604913 CE: 3.3018749 SSE: 34.281388 KLD: 107.5485 Batchsize: 1024 Epoch: 120 Loss: 0.604899 CE: 3.3018312 SSE: 34.278714 KLD: 107.5348 Batchsize: 1024 Epoch: 121 Loss: 0.604910 CE: 3.3018601 SSE: 34.279176 KLD: 107.5673 Batchsize: 1024 Epoch: 122 Loss: 0.604891 CE: 3.3018059 SSE: 34.275293 KLD: 107.5424 Batchsize: 1024 Epoch: 123 Loss: 0.604896 CE: 3.3018054 SSE: 34.275951 KLD: 107.5629 Batchsize: 1024 Epoch: 124 Loss: 0.604896 CE: 3.3017978 SSE: 34.277126 KLD: 107.5638 Batchsize: 1024 Epoch: 125 Loss: 0.604885 CE: 3.3017671 SSE: 34.274529 KLD: 107.5500 Batchsize: 1024 Epoch: 126 Loss: 0.604891 CE: 3.3017533 SSE: 34.275939 KLD: 107.5883 Batchsize: 1024 Epoch: 127 Loss: 0.604881 CE: 3.3017425 SSE: 34.273023 KLD: 107.5642 Batchsize: 1024 Epoch: 128 Loss: 0.604881 CE: 3.3017420 SSE: 34.273869 KLD: 107.5523 Batchsize: 1024 Epoch: 129 Loss: 0.604870 CE: 3.3016822 SSE: 34.274087 KLD: 107.5481 Batchsize: 1024 Epoch: 130 Loss: 0.604871 CE: 3.3017250 SSE: 34.267756 KLD: 107.5660 Batchsize: 1024 Epoch: 131 Loss: 0.604868 CE: 3.3017105 SSE: 34.270427 KLD: 107.5371 Batchsize: 1024 Epoch: 132 Loss: 0.604865 CE: 3.3016438 SSE: 34.271121 KLD: 107.5783 Batchsize: 1024 Epoch: 133 Loss: 0.604862 CE: 3.3016440 SSE: 34.270001 KLD: 107.5699 Batchsize: 1024 Epoch: 134 Loss: 0.604854 CE: 3.3016164 SSE: 34.269117 KLD: 107.5596 Batchsize: 1024 Epoch: 135 Loss: 0.604855 CE: 3.3016184 SSE: 34.268616 KLD: 107.5650 Batchsize: 1024 Epoch: 136 Loss: 0.604849 CE: 3.3016079 SSE: 34.264255 KLD: 107.5770 Batchsize: 1024 Epoch: 137 Loss: 0.604841 CE: 3.3015720 SSE: 34.263435 KLD: 107.5769 Batchsize: 1024 Epoch: 138 Loss: 0.604841 CE: 3.3015659 SSE: 34.263731 KLD: 107.5746 Batchsize: 1024 Epoch: 139 Loss: 0.604838 CE: 3.3015275 SSE: 34.267509 KLD: 107.5649 Batchsize: 1024 Epoch: 140 Loss: 0.604839 CE: 3.3015384 SSE: 34.264340 KLD: 107.5888 Batchsize: 1024 Epoch: 141 Loss: 0.604833 CE: 3.3014902 SSE: 34.265711 KLD: 107.5878 Batchsize: 1024 Epoch: 142 Loss: 0.604823 CE: 3.3014825 SSE: 34.261397 KLD: 107.5700 Batchsize: 1024 Epoch: 143 Loss: 0.604834 CE: 3.3015234 SSE: 34.262895 KLD: 107.5864 Batchsize: 1024 Epoch: 144 Loss: 0.604823 CE: 3.3014782 SSE: 34.258872 KLD: 107.5968 Batchsize: 1024 Epoch: 145 Loss: 0.604824 CE: 3.3014628 SSE: 34.262178 KLD: 107.5897 Batchsize: 1024 Epoch: 146 Loss: 0.604817 CE: 3.3014411 SSE: 34.260151 KLD: 107.5865 Batchsize: 1024 Epoch: 147 Loss: 0.604818 CE: 3.3014565 SSE: 34.255649 KLD: 107.6198 Batchsize: 1024 Epoch: 148 Loss: 0.604818 CE: 3.3014294 SSE: 34.260053 KLD: 107.6042 Batchsize: 1024 Epoch: 149 Loss: 0.604810 CE: 3.3013923 SSE: 34.259388 KLD: 107.5990 Batchsize: 1024 Epoch: 150 Loss: 0.604808 CE: 3.3014163 SSE: 34.255560 KLD: 107.6017 Batchsize: 1024 Epoch: 151 Loss: 0.604052 CE: 3.2993820 SSE: 33.966983 KLD: 107.5735 Batchsize: 2048 Epoch: 152 Loss: 0.604051 CE: 3.2993421 SSE: 33.966569 KLD: 107.6136 Batchsize: 2048 Epoch: 153 Loss: 0.604042 CE: 3.2993148 SSE: 33.963473 KLD: 107.6112 Batchsize: 2048 Epoch: 154 Loss: 0.604037 CE: 3.2992763 SSE: 33.960872 KLD: 107.6431 Batchsize: 2048 Epoch: 155 Loss: 0.604026 CE: 3.2992734 SSE: 33.956188 KLD: 107.6221 Batchsize: 2048 Epoch: 156 Loss: 0.604025 CE: 3.2992269 SSE: 33.959028 KLD: 107.6346 Batchsize: 2048 Epoch: 157 Loss: 0.604038 CE: 3.2992468 SSE: 33.962467 KLD: 107.6625 Batchsize: 2048 Epoch: 158 Loss: 0.604020 CE: 3.2992174 SSE: 33.957134 KLD: 107.6307 Batchsize: 2048 Epoch: 159 Loss: 0.604015 CE: 3.2991908 SSE: 33.956230 KLD: 107.6340 Batchsize: 2048 Epoch: 160 Loss: 0.604017 CE: 3.2991778 SSE: 33.955907 KLD: 107.6616 Batchsize: 2048 Epoch: 161 Loss: 0.604010 CE: 3.2991476 SSE: 33.955841 KLD: 107.6548 Batchsize: 2048 Epoch: 162 Loss: 0.604011 CE: 3.2991442 SSE: 33.952056 KLD: 107.6950 Batchsize: 2048 Epoch: 163 Loss: 0.604010 CE: 3.2991302 SSE: 33.956366 KLD: 107.6628 Batchsize: 2048 Epoch: 164 Loss: 0.604000 CE: 3.2991094 SSE: 33.952486 KLD: 107.6567 Batchsize: 2048 Epoch: 165 Loss: 0.603997 CE: 3.2990793 SSE: 33.953221 KLD: 107.6623 Batchsize: 2048 Epoch: 166 Loss: 0.603996 CE: 3.2991219 SSE: 33.946688 KLD: 107.6752 Batchsize: 2048 Epoch: 167 Loss: 0.603998 CE: 3.2990988 SSE: 33.950448 KLD: 107.6768 Batchsize: 2048 Epoch: 168 Loss: 0.603990 CE: 3.2990603 SSE: 33.949651 KLD: 107.6722 Batchsize: 2048 Epoch: 169 Loss: 0.603985 CE: 3.2990818 SSE: 33.944899 KLD: 107.6618 Batchsize: 2048 Epoch: 170 Loss: 0.603983 CE: 3.2990349 SSE: 33.948530 KLD: 107.6646 Batchsize: 2048 Epoch: 171 Loss: 0.603994 CE: 3.2990698 SSE: 33.949497 KLD: 107.6871 Batchsize: 2048 Epoch: 172 Loss: 0.603977 CE: 3.2990393 SSE: 33.944299 KLD: 107.6593 Batchsize: 2048 Epoch: 173 Loss: 0.603978 CE: 3.2990248 SSE: 33.946507 KLD: 107.6650 Batchsize: 2048 Epoch: 174 Loss: 0.603985 CE: 3.2990487 SSE: 33.947489 KLD: 107.6731 Batchsize: 2048 Epoch: 175 Loss: 0.603974 CE: 3.2990189 SSE: 33.942600 KLD: 107.6782 Batchsize: 2048 Epoch: 176 Loss: 0.603974 CE: 3.2990274 SSE: 33.940644 KLD: 107.6894 Batchsize: 2048 Epoch: 177 Loss: 0.603962 CE: 3.2989932 SSE: 33.937543 KLD: 107.6763 Batchsize: 2048 Epoch: 178 Loss: 0.603963 CE: 3.2989736 SSE: 33.938033 KLD: 107.6964 Batchsize: 2048 Epoch: 179 Loss: 0.603964 CE: 3.2989927 SSE: 33.937157 KLD: 107.6950 Batchsize: 2048 Epoch: 180 Loss: 0.603955 CE: 3.2989577 SSE: 33.938920 KLD: 107.6578 Batchsize: 2048 Epoch: 181 Loss: 0.603959 CE: 3.2989631 SSE: 33.936755 KLD: 107.6980 Batchsize: 2048 Epoch: 182 Loss: 0.603956 CE: 3.2989667 SSE: 33.934913 KLD: 107.6889 Batchsize: 2048 Epoch: 183 Loss: 0.603950 CE: 3.2989656 SSE: 33.933060 KLD: 107.6713 Batchsize: 2048 Epoch: 184 Loss: 0.603950 CE: 3.2989374 SSE: 33.934382 KLD: 107.6886 Batchsize: 2048 Epoch: 185 Loss: 0.603948 CE: 3.2989302 SSE: 33.933250 KLD: 107.6929 Batchsize: 2048 Epoch: 186 Loss: 0.603936 CE: 3.2988980 SSE: 33.928522 KLD: 107.6929 Batchsize: 2048 Epoch: 187 Loss: 0.603935 CE: 3.2988948 SSE: 33.930347 KLD: 107.6760 Batchsize: 2048 Epoch: 188 Loss: 0.603927 CE: 3.2988626 SSE: 33.929834 KLD: 107.6594 Batchsize: 2048 Epoch: 189 Loss: 0.603932 CE: 3.2988707 SSE: 33.929341 KLD: 107.6891 Batchsize: 2048 Epoch: 190 Loss: 0.603933 CE: 3.2988718 SSE: 33.930468 KLD: 107.6807 Batchsize: 2048 Epoch: 191 Loss: 0.603931 CE: 3.2988585 SSE: 33.928469 KLD: 107.7032 Batchsize: 2048 Epoch: 192 Loss: 0.603929 CE: 3.2988493 SSE: 33.928577 KLD: 107.6960 Batchsize: 2048 Epoch: 193 Loss: 0.603924 CE: 3.2988438 SSE: 33.926504 KLD: 107.6920 Batchsize: 2048 Epoch: 194 Loss: 0.603925 CE: 3.2988227 SSE: 33.929725 KLD: 107.6889 Batchsize: 2048 Epoch: 195 Loss: 0.603927 CE: 3.2988333 SSE: 33.927904 KLD: 107.7058 Batchsize: 2048 Epoch: 196 Loss: 0.603923 CE: 3.2988175 SSE: 33.926309 KLD: 107.7113 Batchsize: 2048 Epoch: 197 Loss: 0.603919 CE: 3.2987882 SSE: 33.928050 KLD: 107.7042 Batchsize: 2048 Epoch: 198 Loss: 0.603910 CE: 3.2987858 SSE: 33.921796 KLD: 107.7054 Batchsize: 2048 Epoch: 199 Loss: 0.603907 CE: 3.2988034 SSE: 33.921569 KLD: 107.6737 Batchsize: 2048 Epoch: 200 Loss: 0.603909 CE: 3.2987674 SSE: 33.922506 KLD: 107.7114 Batchsize: 2048 Epoch: 201 Loss: 0.603905 CE: 3.2987517 SSE: 33.923959 KLD: 107.6913 Batchsize: 2048 Epoch: 202 Loss: 0.603910 CE: 3.2987617 SSE: 33.923110 KLD: 107.7213 Batchsize: 2048 Epoch: 203 Loss: 0.603903 CE: 3.2987405 SSE: 33.921287 KLD: 107.7124 Batchsize: 2048 Epoch: 204 Loss: 0.603902 CE: 3.2987360 SSE: 33.925360 KLD: 107.6762 Batchsize: 2048 Epoch: 205 Loss: 0.603898 CE: 3.2987276 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2048 Epoch: 229 Loss: 0.603861 CE: 3.2985452 SSE: 33.915333 KLD: 107.7039 Batchsize: 2048 Epoch: 230 Loss: 0.603847 CE: 3.2985349 SSE: 33.904428 KLD: 107.7253 Batchsize: 2048 Epoch: 231 Loss: 0.603848 CE: 3.2985198 SSE: 33.910261 KLD: 107.6922 Batchsize: 2048 Epoch: 232 Loss: 0.603852 CE: 3.2984981 SSE: 33.911820 KLD: 107.7277 Batchsize: 2048 Epoch: 233 Loss: 0.603854 CE: 3.2985114 SSE: 33.911830 KLD: 107.7259 Batchsize: 2048 Epoch: 234 Loss: 0.603855 CE: 3.2985215 SSE: 33.910943 KLD: 107.7311 Batchsize: 2048 Epoch: 235 Loss: 0.603853 CE: 3.2985193 SSE: 33.911041 KLD: 107.7181 Batchsize: 2048 Epoch: 236 Loss: 0.603849 CE: 3.2985112 SSE: 33.907917 KLD: 107.7327 Batchsize: 2048 Epoch: 237 Loss: 0.603838 CE: 3.2984616 SSE: 33.907758 KLD: 107.7123 Batchsize: 2048 Epoch: 238 Loss: 0.603838 CE: 3.2984625 SSE: 33.907226 KLD: 107.7189 Batchsize: 2048 Epoch: 239 Loss: 0.603838 CE: 3.2984695 SSE: 33.907252 KLD: 107.7103 Batchsize: 2048 Epoch: 240 Loss: 0.603841 CE: 3.2984877 SSE: 33.904538 KLD: 107.7355 Batchsize: 2048 Epoch: 241 Loss: 0.603831 CE: 3.2984202 SSE: 33.906866 KLD: 107.7190 Batchsize: 2048 Epoch: 242 Loss: 0.603833 CE: 3.2984459 SSE: 33.905126 KLD: 107.7234 Batchsize: 2048 Epoch: 243 Loss: 0.603839 CE: 3.2984489 SSE: 33.907058 KLD: 107.7388 Batchsize: 2048 Epoch: 244 Loss: 0.603830 CE: 3.2984421 SSE: 33.903423 KLD: 107.7267 Batchsize: 2048 Epoch: 245 Loss: 0.603830 CE: 3.2984220 SSE: 33.907803 KLD: 107.7071 Batchsize: 2048 Epoch: 246 Loss: 0.603833 CE: 3.2984147 SSE: 33.908204 KLD: 107.7303 Batchsize: 2048 Epoch: 247 Loss: 0.603832 CE: 3.2983775 SSE: 33.909059 KLD: 107.7487 Batchsize: 2048 Epoch: 248 Loss: 0.603825 CE: 3.2984163 SSE: 33.902925 KLD: 107.7239 Batchsize: 2048 Epoch: 249 Loss: 0.603829 CE: 3.2984143 SSE: 33.904270 KLD: 107.7364 Batchsize: 2048 Epoch: 250 Loss: 0.603821 CE: 3.2983841 SSE: 33.902606 KLD: 107.7361 Batchsize: 2048 Epoch: 251 Loss: 0.603819 CE: 3.2983917 SSE: 33.900849 KLD: 107.7315 Batchsize: 2048 Epoch: 252 Loss: 0.603818 CE: 3.2983584 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0.603799 CE: 3.2983023 SSE: 33.894451 KLD: 107.7544 Batchsize: 2048 Epoch: 265 Loss: 0.603799 CE: 3.2983007 SSE: 33.895830 KLD: 107.7438 Batchsize: 2048 Epoch: 266 Loss: 0.603795 CE: 3.2982899 SSE: 33.895108 KLD: 107.7394 Batchsize: 2048 Epoch: 267 Loss: 0.603796 CE: 3.2982725 SSE: 33.896982 KLD: 107.7407 Batchsize: 2048 Epoch: 268 Loss: 0.603800 CE: 3.2982720 SSE: 33.899583 KLD: 107.7474 Batchsize: 2048 Epoch: 269 Loss: 0.603790 CE: 3.2982585 SSE: 33.894986 KLD: 107.7385 Batchsize: 2048 Epoch: 270 Loss: 0.603789 CE: 3.2982552 SSE: 33.894684 KLD: 107.7351 Batchsize: 2048 Epoch: 271 Loss: 0.603789 CE: 3.2982562 SSE: 33.894160 KLD: 107.7391 Batchsize: 2048 Epoch: 272 Loss: 0.603790 CE: 3.2982628 SSE: 33.892797 KLD: 107.7547 Batchsize: 2048 Epoch: 273 Loss: 0.603787 CE: 3.2982625 SSE: 33.892677 KLD: 107.7370 Batchsize: 2048 Epoch: 274 Loss: 0.603787 CE: 3.2982468 SSE: 33.890675 KLD: 107.7704 Batchsize: 2048 Epoch: 275 Loss: 0.603781 CE: 3.2982287 SSE: 33.891556 KLD: 107.7412 Batchsize: 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107.7394 Batchsize: 2048 Epoch: 288 Loss: 0.603761 CE: 3.2981394 SSE: 33.885390 KLD: 107.7658 Batchsize: 2048 Epoch: 289 Loss: 0.603765 CE: 3.2981534 SSE: 33.889733 KLD: 107.7353 Batchsize: 2048 Epoch: 290 Loss: 0.603748 CE: 3.2980771 SSE: 33.884393 KLD: 107.7580 Batchsize: 2048 Epoch: 291 Loss: 0.603759 CE: 3.2981441 SSE: 33.886361 KLD: 107.7421 Batchsize: 2048 Epoch: 292 Loss: 0.603750 CE: 3.2981217 SSE: 33.881807 KLD: 107.7449 Batchsize: 2048 Epoch: 293 Loss: 0.603754 CE: 3.2981146 SSE: 33.886236 KLD: 107.7420 Batchsize: 2048 Epoch: 294 Loss: 0.603758 CE: 3.2981294 SSE: 33.885441 KLD: 107.7551 Batchsize: 2048 Epoch: 295 Loss: 0.603753 CE: 3.2981018 SSE: 33.886932 KLD: 107.7370 Batchsize: 2048 Epoch: 296 Loss: 0.603746 CE: 3.2980915 SSE: 33.884076 KLD: 107.7328 Batchsize: 2048 Epoch: 297 Loss: 0.603747 CE: 3.2980655 SSE: 33.885190 KLD: 107.7580 Batchsize: 2048 Epoch: 298 Loss: 0.603750 CE: 3.2980807 SSE: 33.885533 KLD: 107.7563 Batchsize: 2048 Epoch: 299 Loss: 0.603746 CE: 3.2980775 SSE: 33.884171 KLD: 107.7453 Batchsize: 2048