Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_338327_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.801635265350342
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768100738525391
Linear Weight Rank: 180
Intra Cos: 0.06237855926156044
Inter Cos: 0.0015475722029805183
Norm Quadratic Average: 4.562235355377197
Nearest Class Center Accuracy: 0.799

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.744492053985596
Linear Weight Rank: 180
Intra Cos: 0.044057078659534454
Inter Cos: 0.010827532038092613
Norm Quadratic Average: 1.5243635177612305
Nearest Class Center Accuracy: 0.724875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.732348442077637
Linear Weight Rank: 179
Intra Cos: 0.03693002834916115
Inter Cos: 0.011159280315041542
Norm Quadratic Average: 0.5395554900169373
Nearest Class Center Accuracy: 0.632

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.754886627197266
Linear Weight Rank: 180
Intra Cos: 0.04251071438193321
Inter Cos: 0.009323609992861748
Norm Quadratic Average: 0.1948489248752594
Nearest Class Center Accuracy: 0.59775

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7649102210998535
Linear Weight Rank: 179
Intra Cos: 0.046874865889549255
Inter Cos: 0.014244796708226204
Norm Quadratic Average: 0.07578742504119873
Nearest Class Center Accuracy: 0.576125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.748533248901367
Linear Weight Rank: 180
Intra Cos: 0.0423332117497921
Inter Cos: 0.03324093669652939
Norm Quadratic Average: 0.030908487737178802
Nearest Class Center Accuracy: 0.539125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.770886421203613
Linear Weight Rank: 179
Intra Cos: 0.04064767435193062
Inter Cos: 0.04317142441868782
Norm Quadratic Average: 0.011691644787788391
Nearest Class Center Accuracy: 0.493375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0688408613204956
Linear Weight Rank: 4
Intra Cos: 0.04403991252183914
Inter Cos: 0.05028020963072777
Norm Quadratic Average: 0.004733423702418804
Nearest Class Center Accuracy: 0.4825

Output Layer:
Intra Cos: 0.08531832695007324
Inter Cos: 0.13387174904346466
Norm Quadratic Average: 0.0005882432451471686
Nearest Class Center Accuracy: 0.454

Test Set:
Average Loss: 1.387331958770752
Accuracy: 0.257
NC1 Within Class Collapse: 98.33473205566406
NC2 Equinorm: Features: 0.21529997885227203, Weights: 0.007823257707059383
NC2 Equiangle: Features: 0.5699175993601481, Weights: 0.34972556432088214
NC3 Self-Duality: 1.6021597385406494
NC4 NCC Mismatch: 0.8465

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.801635265350342
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768100738525391
Linear Weight Rank: 180
Intra Cos: 0.06412574648857117
Inter Cos: 0.005126451142132282
Norm Quadratic Average: 4.554079055786133
Nearest Class Center Accuracy: 0.8045

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.744492053985596
Linear Weight Rank: 180
Intra Cos: 0.04473935440182686
Inter Cos: 0.01238671038299799
Norm Quadratic Average: 1.5205663442611694
Nearest Class Center Accuracy: 0.7265

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.732348442077637
Linear Weight Rank: 179
Intra Cos: 0.038674820214509964
Inter Cos: 0.012832634150981903
Norm Quadratic Average: 0.5379494428634644
Nearest Class Center Accuracy: 0.6435

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.754886627197266
Linear Weight Rank: 180
Intra Cos: 0.05023374781012535
Inter Cos: 0.009943646378815174
Norm Quadratic Average: 0.19482047855854034
Nearest Class Center Accuracy: 0.614

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7649102210998535
Linear Weight Rank: 179
Intra Cos: 0.04501662030816078
Inter Cos: 0.015765758231282234
Norm Quadratic Average: 0.07571949809789658
Nearest Class Center Accuracy: 0.594

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.748533248901367
Linear Weight Rank: 180
Intra Cos: 0.04849674552679062
Inter Cos: 0.03525146096944809
Norm Quadratic Average: 0.03086847811937332
Nearest Class Center Accuracy: 0.5625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.770886421203613
Linear Weight Rank: 179
Intra Cos: 0.04653606563806534
Inter Cos: 0.04322914779186249
Norm Quadratic Average: 0.011703192256391048
Nearest Class Center Accuracy: 0.5105

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0688408613204956
Linear Weight Rank: 4
Intra Cos: 0.04887532815337181
Inter Cos: 0.049794308841228485
Norm Quadratic Average: 0.004738318268209696
Nearest Class Center Accuracy: 0.496

Output Layer:
Intra Cos: 0.0883149579167366
Inter Cos: 0.14440089464187622
Norm Quadratic Average: 0.000595340330619365
Nearest Class Center Accuracy: 0.456

