--dataset=MP20 --lr=5e-4 --lr_scheduler=None --epochs=1000 --num_evals=1 --batch_size=256 --emb_dim=128 --output_model_dir=../output_DiffCSP/MP20/5e-4_None_256_128_128_1_1000 Thu 08 Feb 2024 02:47:34 PM EST start /gpfs/home/admin.shengchao.liu/Crystal_Generation_workspace/Crystallization_Generation_Diffusion_dev/crystallization/models/DiffCSP/common/data_utils.py:904: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). X = torch.tensor(X, dtype=torch.float) model CSPDiffusion( (decoder): CSPNet( (node_embedding): Embedding(100, 512) (atom_latent_emb): Linear(in_features=768, out_features=512, bias=True) (act_fn): SiLU() (dis_emb): SinusoidsEmbedding() (csp_layer_0): CSPLayer( (dis_emb): SinusoidsEmbedding() (edge_mlp): Sequential( (0): Linear(in_features=1801, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (node_mlp): Sequential( (0): Linear(in_features=1024, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True) ) (csp_layer_1): CSPLayer( (dis_emb): SinusoidsEmbedding() (edge_mlp): Sequential( (0): Linear(in_features=1801, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (node_mlp): Sequential( (0): Linear(in_features=1024, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True) ) (csp_layer_2): CSPLayer( (dis_emb): SinusoidsEmbedding() (edge_mlp): Sequential( (0): Linear(in_features=1801, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (node_mlp): Sequential( (0): Linear(in_features=1024, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True) ) (csp_layer_3): CSPLayer( (dis_emb): SinusoidsEmbedding() (edge_mlp): Sequential( (0): Linear(in_features=1801, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (node_mlp): Sequential( (0): Linear(in_features=1024, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True) ) (csp_layer_4): CSPLayer( (dis_emb): SinusoidsEmbedding() (edge_mlp): Sequential( (0): Linear(in_features=1801, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (node_mlp): Sequential( (0): Linear(in_features=1024, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True) ) (csp_layer_5): CSPLayer( (dis_emb): SinusoidsEmbedding() (edge_mlp): Sequential( (0): Linear(in_features=1801, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (node_mlp): Sequential( (0): Linear(in_features=1024, out_features=512, bias=True) (1): SiLU() (2): Linear(in_features=512, out_features=512, bias=True) (3): SiLU() ) (layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True) ) (coord_out): Linear(in_features=512, out_features=3, bias=False) (lattice_out): Linear(in_features=512, out_features=9, bias=False) (final_layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True) ) (beta_scheduler): BetaScheduler() (sigma_scheduler): SigmaScheduler() (time_embedding): SinusoidalTimeEmbeddings() ) epoch 1 train lattice loss: 2.317771 coord loss: 1.020627 epoch 2 train lattice loss: 0.761954 coord loss: 0.993953 epoch 3 train lattice loss: 0.746754 coord loss: 0.959479 epoch 4 train lattice loss: 0.721528 coord loss: 0.919288 epoch 5 train lattice loss: 0.694760 coord loss: 0.906070 epoch 6 train lattice loss: 0.669252 coord loss: 0.896610 epoch 7 train lattice loss: 0.642857 coord loss: 0.882902 epoch 8 train lattice loss: 0.635834 coord loss: 0.873293 epoch 9 train lattice loss: 0.623592 coord loss: 0.866168 epoch 10 train lattice loss: 0.607734 coord loss: 0.854109 val lattice loss: 0.604751 coord loss: 0.841059 save model with optimal loss epoch 11 train lattice loss: 0.594042 coord loss: 0.840243 epoch 12 train lattice loss: 0.591024 coord loss: 0.827381 epoch 13 train lattice loss: 0.576847 coord loss: 0.819832 epoch 14 train lattice loss: 0.569791 coord loss: 0.806057 epoch 15 train lattice loss: 0.567282 coord loss: 0.798552 epoch 16 train lattice loss: 0.555383 coord loss: 0.786528 epoch 17 train lattice loss: 0.552756 coord loss: 0.772413 epoch 18 train lattice loss: 0.547578 coord loss: 0.768552 epoch 19 train lattice loss: 0.539423 coord loss: 0.760531 epoch 20 train lattice loss: 0.533925 coord loss: 0.750901 val lattice loss: 0.531760 coord loss: 0.744461 save model with optimal loss epoch 21 train lattice loss: 0.530823 coord loss: 0.745157 epoch 22 train lattice loss: 0.531280 coord loss: 0.738936 epoch 23 train lattice loss: 0.528382 coord loss: 0.734980 epoch 24 train lattice loss: 0.520248 coord loss: 0.726339 epoch 25 train lattice loss: 0.523218 coord loss: 0.716955 epoch 26 train lattice loss: 0.516969 coord loss: 0.714550 epoch 27 train lattice loss: 0.510480 coord loss: 0.709520 epoch 28 train lattice loss: 0.510278 coord loss: 0.705665 epoch 29 train lattice loss: 0.510742 coord loss: 0.697295 epoch 30 train lattice loss: 0.502240 coord loss: 0.691851 val lattice loss: 0.505065 coord loss: 0.695728 save model with optimal loss epoch 31 train lattice loss: 0.499345 coord loss: 0.690103 epoch 32 train lattice loss: 0.503210 coord loss: 0.681703 epoch 33 train lattice loss: 0.494967 coord loss: 0.681914 epoch 34 train lattice loss: 0.494526 coord loss: 0.671370 epoch 35 train lattice loss: 0.489025 coord loss: 0.669510 epoch 36 train lattice loss: 0.485175 coord loss: 0.667519 epoch 37 train lattice loss: 0.484517 coord loss: 0.664294 epoch 38 train lattice loss: 0.485263 coord loss: 0.663071 epoch 39 train lattice loss: 0.483576 coord loss: 0.656403 epoch 40 train lattice loss: 0.478868 coord loss: 0.652112 val lattice loss: 0.474990 coord loss: 0.653915 save model with optimal loss epoch 41 train lattice loss: 0.471825 coord loss: 0.650423 epoch 42 train lattice loss: 0.474242 coord loss: 0.639845 epoch 43 train lattice loss: 0.477088 coord loss: 0.645130 epoch 44 train lattice loss: 0.466768 coord loss: 0.641486 epoch 45 train lattice loss: 0.472086 coord loss: 0.633219 epoch 46 train lattice loss: 0.469108 coord loss: 0.635561 epoch 47 train lattice loss: 0.470356 coord loss: 0.632679 epoch 48 train lattice loss: 0.465419 coord loss: 0.627494 epoch 49 train lattice loss: 0.458839 coord loss: 0.626746 epoch 50 train lattice loss: 0.456229 coord loss: 0.621618 val lattice loss: 0.459369 coord loss: 0.626928 save model with optimal loss epoch 51 train lattice loss: 0.454301 coord loss: 0.622548 epoch 52 train lattice loss: 0.457241 coord loss: 0.620403 epoch 53 train lattice loss: 0.457389 coord loss: 0.615002 epoch 54 train lattice loss: 0.451637 coord loss: 0.613263 epoch 55 train lattice loss: 0.454017 coord loss: 0.611899 epoch 56 train lattice loss: 0.452785 coord loss: 0.612260 epoch 57 train lattice loss: 0.455029 coord loss: 0.607113 epoch 58 train lattice loss: 0.448760 coord loss: 0.607074 epoch 59 train lattice loss: 0.444745 coord loss: 0.603105 epoch 60 train lattice loss: 0.451567 coord loss: 0.600414 val lattice loss: 0.451094 coord loss: 0.600881 save model with optimal loss epoch 61 train lattice loss: 0.445721 coord loss: 0.603958 epoch 62 train lattice loss: 0.449922 coord loss: 0.597945 epoch 63 train lattice loss: 0.440673 coord loss: 0.594196 epoch 64 train lattice loss: 0.445653 coord loss: 0.596005 epoch 65 train lattice loss: 0.440566 coord loss: 0.595310 epoch 66 train lattice loss: 0.440218 coord loss: 0.592517 epoch 67 train lattice loss: 0.437382 coord loss: 0.591445 epoch 68 train lattice loss: 0.441656 coord loss: 0.586019 epoch 69 train lattice loss: 0.440032 coord loss: 0.586268 epoch 70 train lattice loss: 0.438334 coord loss: 0.587947 val lattice loss: 0.437956 coord loss: 0.582178 save model with optimal loss epoch 71 train lattice loss: 0.438845 coord loss: 0.583334 epoch 72 train lattice loss: 0.436311 coord loss: 0.583555 epoch 73 train lattice loss: 0.437508 coord loss: 0.578858 epoch 74 train lattice loss: 0.431576 coord loss: 0.581954 epoch 75 train lattice loss: 0.430175 coord loss: 0.579113 epoch 76 train lattice loss: 0.432964 coord loss: 0.578022 epoch 77 train lattice loss: 0.430450 coord loss: 0.572687 epoch 78 train lattice loss: 0.430370 coord loss: 0.576117 epoch 79 train lattice loss: 0.431533 coord loss: 0.570924 epoch 80 train lattice loss: 0.426661 coord loss: 0.568325 val lattice loss: 0.428444 coord loss: 0.577026 save model with optimal loss epoch 81 train lattice loss: 0.425445 coord loss: 0.568682 epoch 82 train lattice loss: 0.426571 coord loss: 0.567288 epoch 83 train lattice loss: 0.429589 coord loss: 0.568397 epoch 84 train lattice loss: 0.423606 coord loss: 0.564034 epoch 85 train lattice loss: 0.428566 coord loss: 0.568575 epoch 86 train lattice loss: 0.423330 coord loss: 0.565483 epoch 87 train lattice loss: 0.424011 coord loss: 0.567213 epoch 88 train lattice loss: 0.422567 coord loss: 0.560556 epoch 89 train lattice loss: 0.424091 coord loss: 0.560154 epoch 90 train lattice loss: 0.419465 coord loss: 0.557224 val lattice loss: 0.426666 coord loss: 0.563341 save model with optimal loss epoch 91 train lattice loss: 0.422130 coord loss: 0.561579 epoch 92 train lattice loss: 0.423972 coord loss: 0.553441 epoch 93 train lattice loss: 0.418421 coord loss: 0.556805 epoch 94 train lattice loss: 0.421447 coord loss: 0.556062 epoch 95 train lattice loss: 0.417077 coord loss: 0.554668 epoch 96 train lattice loss: 0.414609 coord loss: 0.545621 epoch 97 train lattice loss: 0.417494 coord loss: 0.550818 epoch 98 train lattice loss: 0.420461 coord loss: 0.550810 epoch 99 train lattice loss: 0.419586 coord loss: 0.549405 epoch 100 train lattice loss: 0.413583 coord loss: 0.554249 val lattice loss: 0.410238 coord loss: 0.556245 save model with optimal loss epoch 101 train lattice loss: 0.417131 coord loss: 0.546200 epoch 102 train lattice loss: 0.415782 coord loss: 0.543545 epoch 103 train lattice loss: 0.415696 coord loss: 0.548383 epoch 104 train lattice loss: 0.414047 coord loss: 0.546639 epoch 105 train lattice loss: 0.413612 coord loss: 0.545464 epoch 106 train lattice loss: 0.413725 coord loss: 0.542934 epoch 107 train lattice loss: 0.415287 coord loss: 0.548264 epoch 108 train lattice loss: 0.410646 coord loss: 0.545394 epoch 109 train lattice loss: 0.411112 coord loss: 0.542856 epoch 110 train lattice loss: 0.408284 coord loss: 0.539581 val lattice loss: 0.420098 coord loss: 0.541559 save model with optimal loss epoch 111 train lattice loss: 0.410609 coord loss: 0.535821 epoch 112 train lattice loss: 0.411904 coord loss: 0.538213 epoch 113 train lattice loss: 0.412797 coord loss: 0.534142 epoch 114 train lattice loss: 0.408071 coord loss: 0.534143 epoch 115 train lattice loss: 0.410542 coord loss: 0.534067 epoch 116 train lattice loss: 0.409280 coord loss: 0.535281 epoch 117 train lattice loss: 0.406247 coord loss: 0.532607 epoch 118 train lattice loss: 0.409856 coord loss: 0.534224 epoch 119 train lattice loss: 0.410116 coord loss: 0.530369 epoch 120 train lattice loss: 0.407833 coord loss: 0.527030 val lattice loss: 0.416894 coord loss: 0.529274 save model with optimal loss epoch 121 train lattice loss: 0.406240 coord loss: 0.528620 epoch 122 train lattice loss: 0.408059 coord loss: 0.525549 epoch 123 train lattice loss: 0.408217 coord loss: 0.527542 epoch 124 train lattice loss: 0.404015 coord loss: 0.527530 epoch 125 train lattice loss: 0.405690 coord loss: 0.535671 epoch 126 train lattice loss: 0.403120 coord loss: 0.526722 epoch 127 train lattice loss: 0.406262 coord loss: 0.525941 epoch 128 train lattice loss: 0.402043 coord loss: 0.528149 epoch 129 train lattice loss: 0.408535 coord loss: 0.522181 epoch 130 train lattice loss: 0.401294 coord loss: 0.525333 val lattice loss: 0.399851 coord loss: 0.530777 save model with optimal loss epoch 131 train lattice loss: 0.401015 coord loss: 0.522932 epoch 132 train lattice loss: 0.401578 coord loss: 0.519401 epoch 133 train lattice loss: 0.402848 coord loss: 0.522091 epoch 134 train lattice loss: 0.403906 coord loss: 0.519293 epoch 135 train lattice loss: 0.401602 coord loss: 0.521707 epoch 136 train lattice loss: 0.401016 coord loss: 0.519510 epoch 137 train lattice loss: 0.401384 coord loss: 0.518756 epoch 138 train lattice loss: 0.400646 coord loss: 0.518171 epoch 139 train lattice loss: 0.395930 coord loss: 0.516542 epoch 140 train lattice loss: 0.398882 coord loss: 0.516356 val lattice loss: 0.401424 coord loss: 0.528620 save model with optimal loss epoch 141 train lattice loss: 0.397647 coord loss: 0.515104 epoch 142 train lattice loss: 0.396644 coord loss: 0.515122 epoch 143 train lattice loss: 0.397538 coord loss: 0.520361 epoch 144 train lattice loss: 0.395342 coord loss: 0.517386 epoch 145 train lattice loss: 0.399232 coord loss: 0.510895 epoch 146 train lattice loss: 0.394177 coord loss: 0.510518 epoch 147 train lattice loss: 0.393596 coord loss: 0.515614 epoch 148 train lattice loss: 0.400659 coord loss: 0.509509 epoch 149 train lattice loss: 0.395991 coord loss: 0.515727 epoch 150 train lattice loss: 0.396713 coord loss: 0.515208 val lattice loss: 0.402505 coord loss: 0.519131 save model with optimal loss epoch 151 train lattice loss: 0.392852 coord loss: 0.506486 epoch 152 train lattice loss: 0.395630 coord loss: 0.510293 epoch 153 train lattice loss: 0.395584 coord loss: 0.509006 epoch 154 train lattice loss: 0.398235 coord loss: 0.508120 epoch 155 train lattice loss: 0.394579 coord loss: 0.508300 epoch 156 train lattice loss: 0.393172 coord loss: 0.508918 epoch 157 train lattice loss: 0.393181 coord loss: 0.509962 epoch 158 train lattice loss: 0.394092 coord loss: 0.509710 epoch 159 train lattice loss: 0.394312 coord loss: 0.506408 epoch 160 train lattice loss: 0.395615 coord loss: 0.508901 val lattice loss: 0.400208 coord loss: 0.512405 save model with optimal loss epoch 161 train lattice loss: 0.388913 coord loss: 0.508414 epoch 162 train lattice loss: 0.390524 coord loss: 0.506225 epoch 163 train lattice loss: 0.393192 coord loss: 0.502180 epoch 164 train lattice loss: 0.391901 coord loss: 0.503256 epoch 165 train lattice loss: 0.394947 coord loss: 0.506222 epoch 166 train lattice loss: 0.388947 coord loss: 0.501895 epoch 167 train lattice loss: 0.389819 coord loss: 0.505545 epoch 168 train lattice loss: 0.391558 coord loss: 0.503165 epoch 169 train lattice loss: 0.389563 coord loss: 0.499752 epoch 170 train lattice loss: 0.389727 coord loss: 0.497965 val lattice loss: 0.400084 coord loss: 0.503986 save model with optimal loss epoch 171 train lattice loss: 0.388688 coord loss: 0.498251 epoch 172 train lattice loss: 0.390467 coord loss: 0.498050 epoch 173 train lattice loss: 0.392751 coord loss: 0.499650 epoch 174 train lattice loss: 0.389507 coord loss: 0.499860 epoch 175 train lattice loss: 0.389849 coord loss: 0.502799 epoch 176 train lattice loss: 0.392322 coord loss: 0.494016 epoch 177 train lattice loss: 0.389073 coord loss: 0.499547 epoch 178 train lattice loss: 0.389032 coord loss: 0.500083 epoch 179 train lattice loss: 0.389656 coord loss: 0.497879 epoch 180 train lattice loss: 0.388720 coord loss: 0.499258 val lattice loss: 0.388376 coord loss: 0.504872 save model with optimal loss epoch 181 train lattice loss: 0.386820 coord loss: 0.496065 epoch 182 train lattice loss: 0.388012 coord loss: 0.494792 epoch 183 train lattice loss: 0.389172 coord loss: 0.494304 epoch 184 train lattice loss: 0.386067 coord loss: 0.493581 epoch 185 train lattice loss: 0.389370 coord loss: 0.494769 epoch 186 train lattice loss: 0.383955 coord loss: 0.497651 epoch 187 train lattice loss: 0.387995 coord loss: 0.496259 epoch 188 train lattice loss: 0.385870 coord loss: 0.497565 epoch 189 train lattice loss: 0.383928 coord loss: 0.491659 epoch 190 train lattice loss: 0.384422 coord loss: 0.486912 val lattice loss: 0.396164 coord loss: 0.504549 epoch 191 train lattice loss: 0.383463 coord loss: 0.493374 epoch 192 train lattice loss: 0.381325 coord loss: 0.489309 epoch 193 train lattice loss: 0.384799 coord loss: 0.485187 epoch 194 train lattice loss: 0.383807 coord loss: 0.490343 epoch 195 train lattice loss: 0.389159 coord loss: 0.493589 epoch 196 train lattice loss: 0.383056 coord loss: 0.487217 epoch 197 train lattice loss: 0.384026 coord loss: 0.485265 epoch 198 train lattice loss: 0.384025 coord loss: 0.494065 epoch 199 train lattice loss: 0.383588 coord loss: 0.485982 epoch 200 train lattice loss: 0.385522 coord loss: 0.495190 val lattice loss: 0.392604 coord loss: 0.499648 save model with optimal loss epoch 201 train lattice loss: 0.383698 coord loss: 0.486663 epoch 202 train lattice loss: 0.383152 coord loss: 0.488811 epoch 203 train lattice loss: 0.383515 coord loss: 0.484249 epoch 204 train lattice loss: 0.384560 coord loss: 0.484242 epoch 205 train lattice loss: 0.384176 coord loss: 0.485191 epoch 206 train lattice loss: 0.382470 coord loss: 0.491306 epoch 207 train lattice loss: 0.385176 coord loss: 0.486493 epoch 208 train lattice loss: 0.383169 coord loss: 0.483727 epoch 209 train lattice loss: 0.381035 coord loss: 0.486081 epoch 210 train lattice loss: 0.380056 coord loss: 0.482491 val lattice loss: 0.389302 coord loss: 0.493136 save model with optimal loss epoch 211 train lattice loss: 0.381398 coord loss: 0.486112 epoch 212 train lattice loss: 0.382078 coord loss: 0.488646 epoch 213 train lattice loss: 0.381607 coord loss: 0.485765 epoch 214 train lattice loss: 0.381080 coord loss: 0.481713 epoch 215 train lattice loss: 0.382711 coord loss: 0.484929 epoch 216 train lattice loss: 0.382162 coord loss: 0.489866 epoch 217 train lattice loss: 0.382339 coord loss: 0.485042 epoch 218 train lattice loss: 0.380271 coord loss: 0.485762 epoch 219 train lattice loss: 0.378747 coord loss: 0.485508 epoch 220 train lattice loss: 0.387092 coord loss: 0.481839 val lattice loss: 0.389625 coord loss: 0.497455 epoch 221 train lattice loss: 0.380887 coord loss: 0.481604 epoch 222 train lattice loss: 0.380622 coord loss: 0.480926 epoch 223 train lattice loss: 0.375152 coord loss: 0.481271 epoch 224 train lattice loss: 0.380898 coord loss: 0.479482 epoch 225 train lattice loss: 0.377870 coord loss: 0.479521 epoch 226 train lattice loss: 0.381698 coord loss: 0.479907 epoch 227 train lattice loss: 0.379790 coord loss: 0.482109 epoch 228 train lattice loss: 0.379870 coord loss: 0.481168 epoch 229 train lattice loss: 0.379759 coord loss: 0.481640 epoch 230 train lattice loss: 0.380676 coord loss: 0.483440 val lattice loss: 0.388020 coord loss: 0.495216 epoch 231 train lattice loss: 0.381309 coord loss: 0.480945 epoch 232 train lattice loss: 0.376564 coord loss: 0.480185 epoch 233 train lattice loss: 0.376388 coord loss: 0.480607 epoch 234 train lattice loss: 0.375258 coord loss: 0.481607 epoch 235 train lattice loss: 0.381514 coord loss: 0.481727 epoch 236 train lattice loss: 0.378648 coord loss: 0.477057 epoch 237 train lattice loss: 0.378785 coord loss: 0.475352 epoch 238 train lattice loss: 0.375758 coord loss: 0.480401 epoch 239 train lattice loss: 0.375303 coord loss: 0.479492 epoch 240 train lattice loss: 0.372687 coord loss: 0.478559 val lattice loss: 0.385022 coord loss: 0.494311 save model with optimal loss epoch 241 train lattice loss: 0.376524 coord loss: 0.479395 epoch 242 train lattice loss: 0.379565 coord loss: 0.476889 epoch 243 train lattice loss: 0.373215 coord loss: 0.476932 epoch 244 train lattice loss: 0.376226 coord loss: 0.473141 epoch 245 train lattice loss: 0.372900 coord loss: 0.474657 epoch 246 train lattice loss: 0.380096 coord loss: 0.478658 epoch 247 train lattice loss: 0.376855 coord loss: 0.471083 epoch 248 train lattice loss: 0.377234 coord loss: 0.472766 epoch 249 train lattice loss: 0.374512 coord loss: 0.472237 epoch 250 train lattice loss: 0.375530 coord loss: 0.474865 val lattice loss: 0.388716 coord loss: 0.485601 save model with optimal loss epoch 251 train lattice loss: 0.374140 coord loss: 0.475659 epoch 252 train lattice loss: 0.369727 coord loss: 0.476646 epoch 253 train lattice loss: 0.372582 coord loss: 0.475468 epoch 254 train lattice loss: 0.374498 coord loss: 0.478856 epoch 255 train lattice loss: 0.375187 coord loss: 0.470479 epoch 256 train lattice loss: 0.373816 coord loss: 0.470183 epoch 257 train lattice loss: 0.377251 coord loss: 0.468418 epoch 258 train lattice loss: 0.377149 coord loss: 0.473793 epoch 259 train lattice loss: 0.375745 coord loss: 0.474337 epoch 260 train lattice loss: 0.376153 coord loss: 0.473046 val lattice loss: 0.384490 coord loss: 0.485811 save model with optimal loss epoch 261 train lattice loss: 0.379648 coord loss: 0.472986 epoch 262 train lattice loss: 0.374467 coord loss: 0.467224 epoch 263 train lattice loss: 0.374737 coord loss: 0.469403 epoch 264 train lattice loss: 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