Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.971871852874756
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.021806716918945
Linear Weight Rank: 179
Intra Cos: 0.07908377051353455
Inter Cos: 0.006640409119427204
Norm Quadratic Average: 13.830074310302734
Nearest Class Center Accuracy: 0.869375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.019068717956543
Linear Weight Rank: 179
Intra Cos: 0.11271462589502335
Inter Cos: 0.008701160550117493
Norm Quadratic Average: 13.783500671386719
Nearest Class Center Accuracy: 0.908625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.949234485626221
Linear Weight Rank: 180
Intra Cos: 0.13672195374965668
Inter Cos: 0.001298811286687851
Norm Quadratic Average: 13.74262809753418
Nearest Class Center Accuracy: 0.954625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9513444900512695
Linear Weight Rank: 179
Intra Cos: 0.1985134333372116
Inter Cos: -0.009567728266119957
Norm Quadratic Average: 13.704000473022461
Nearest Class Center Accuracy: 0.9965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4412946701049805
Linear Weight Rank: 4
Intra Cos: 0.3576008677482605
Inter Cos: -0.04509080946445465
Norm Quadratic Average: 13.8405122756958
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9201725721359253
Inter Cos: -0.08281109482049942
Norm Quadratic Average: 12.026497840881348
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28844720077514646
Accuracy: 0.9015
NC1 Within Class Collapse: 1.3035597801208496
NC2 Equinorm: Features: 0.016508594155311584, Weights: 0.025599924847483635
NC2 Equiangle: Features: 0.29974188407262164, Weights: 0.1096685528755188
NC3 Self-Duality: 0.2210359424352646
NC4 NCC Mismatch: 0.023499999999999965

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.971871852874756
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
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: 8.021806716918945
Linear Weight Rank: 179
Intra Cos: 0.07967522740364075
Inter Cos: 0.007497626356780529
Norm Quadratic Average: 13.81659984588623
Nearest Class Center Accuracy: 0.8735

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.019068717956543
Linear Weight Rank: 179
Intra Cos: 0.10823789983987808
Inter Cos: 0.0033603825140744448
Norm Quadratic Average: 13.823346138000488
Nearest Class Center Accuracy: 0.8935

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.949234485626221
Linear Weight Rank: 180
Intra Cos: 0.12633566558361053
Inter Cos: 0.008376792073249817
Norm Quadratic Average: 13.782878875732422
Nearest Class Center Accuracy: 0.888

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9513444900512695
Linear Weight Rank: 179
Intra Cos: 0.17048083245754242
Inter Cos: -0.008338594809174538
Norm Quadratic Average: 13.675910949707031
Nearest Class Center Accuracy: 0.9055

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4412946701049805
Linear Weight Rank: 4
Intra Cos: 0.27677205204963684
Inter Cos: -0.02865259349346161
Norm Quadratic Average: 13.70259952545166
Nearest Class Center Accuracy: 0.9045

Output Layer:
Intra Cos: 0.7382021546363831
Inter Cos: -0.03324895724654198
Norm Quadratic Average: 11.686511039733887
Nearest Class Center Accuracy: 0.9035

