Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.091629981994629
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
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: 8.028115272521973
Linear Weight Rank: 180
Intra Cos: 0.07541877031326294
Inter Cos: 0.002749026520177722
Norm Quadratic Average: 13.814642906188965
Nearest Class Center Accuracy: 0.871625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.986917018890381
Linear Weight Rank: 180
Intra Cos: 0.11383286863565445
Inter Cos: 0.003105349838733673
Norm Quadratic Average: 13.78790283203125
Nearest Class Center Accuracy: 0.923625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.99879264831543
Linear Weight Rank: 180
Intra Cos: 0.14004841446876526
Inter Cos: -0.0015753188636153936
Norm Quadratic Average: 13.7835054397583
Nearest Class Center Accuracy: 0.9585

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964111804962158
Linear Weight Rank: 180
Intra Cos: 0.2020629644393921
Inter Cos: -0.012336203828454018
Norm Quadratic Average: 13.742247581481934
Nearest Class Center Accuracy: 0.997125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.392261505126953
Linear Weight Rank: 4
Intra Cos: 0.367719829082489
Inter Cos: -0.04635367915034294
Norm Quadratic Average: 13.858827590942383
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9174219369888306
Inter Cos: -0.08040560781955719
Norm Quadratic Average: 12.004423141479492
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28677475357055665
Accuracy: 0.8975
NC1 Within Class Collapse: 1.2904601097106934
NC2 Equinorm: Features: 0.0194498673081398, Weights: 0.030355582013726234
NC2 Equiangle: Features: 0.28784749905268353, Weights: 0.11799295743306477
NC3 Self-Duality: 0.21328361332416534
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.091629981994629
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028115272521973
Linear Weight Rank: 180
Intra Cos: 0.07638710737228394
Inter Cos: 0.0031003982294350863
Norm Quadratic Average: 13.79001522064209
Nearest Class Center Accuracy: 0.869

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.986917018890381
Linear Weight Rank: 180
Intra Cos: 0.11042706668376923
Inter Cos: -0.0015278792707249522
Norm Quadratic Average: 13.820229530334473
Nearest Class Center Accuracy: 0.907

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.99879264831543
Linear Weight Rank: 180
Intra Cos: 0.1280965656042099
Inter Cos: 0.004156077280640602
Norm Quadratic Average: 13.841564178466797
Nearest Class Center Accuracy: 0.897

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964111804962158
Linear Weight Rank: 180
Intra Cos: 0.17169183492660522
Inter Cos: -0.0005080162081867456
Norm Quadratic Average: 13.785351753234863
Nearest Class Center Accuracy: 0.914

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.392261505126953
Linear Weight Rank: 4
Intra Cos: 0.2782796323299408
Inter Cos: -0.028394432738423347
Norm Quadratic Average: 13.759477615356445
Nearest Class Center Accuracy: 0.9055

Output Layer:
Intra Cos: 0.7419047951698303
Inter Cos: -0.03721064701676369
Norm Quadratic Average: 11.681963920593262
Nearest Class Center Accuracy: 0.9055

