Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.121065139770508
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829856101423502
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138922691345215
Linear Weight Rank: 179
Intra Cos: 0.014107590541243553
Inter Cos: 0.006355720572173595
Norm Quadratic Average: 4.849001407623291
Nearest Class Center Accuracy: 0.453

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.158567428588867
Linear Weight Rank: 179
Intra Cos: 0.032063715159893036
Inter Cos: 0.020895689725875854
Norm Quadratic Average: 2.144838809967041
Nearest Class Center Accuracy: 0.4655

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.103803634643555
Linear Weight Rank: 179
Intra Cos: 0.06690673530101776
Inter Cos: 0.06142188608646393
Norm Quadratic Average: 1.2790412902832031
Nearest Class Center Accuracy: 0.46325

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120611190795898
Linear Weight Rank: 179
Intra Cos: 0.08691816031932831
Inter Cos: 0.11106154322624207
Norm Quadratic Average: 1.0056071281433105
Nearest Class Center Accuracy: 0.45375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.696336030960083
Linear Weight Rank: 4
Intra Cos: 0.09609925746917725
Inter Cos: 0.15203772485256195
Norm Quadratic Average: 0.9625510573387146
Nearest Class Center Accuracy: 0.4405

Output Layer:
Intra Cos: 0.08994052559137344
Inter Cos: 0.18598224222660065
Norm Quadratic Average: 1.0207573175430298
Nearest Class Center Accuracy: 0.395375

Test Set:
Average Loss: 1.2479697761535644
Accuracy: 0.4415
NC1 Within Class Collapse: 33.06456756591797
NC2 Equinorm: Features: 0.2594347298145294, Weights: 0.07013024389743805
NC2 Equiangle: Features: 0.8111793994903564, Weights: 0.22308576107025146
NC3 Self-Duality: 0.5410825610160828
NC4 NCC Mismatch: 0.27649999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.121065139770508
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012289620935917
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138922691345215
Linear Weight Rank: 179
Intra Cos: 0.015658071264624596
Inter Cos: 0.006473412737250328
Norm Quadratic Average: 4.832520484924316
Nearest Class Center Accuracy: 0.464

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.158567428588867
Linear Weight Rank: 179
Intra Cos: 0.03429048880934715
Inter Cos: 0.020366759970784187
Norm Quadratic Average: 2.136874198913574
Nearest Class Center Accuracy: 0.4625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.103803634643555
Linear Weight Rank: 179
Intra Cos: 0.06240830197930336
Inter Cos: 0.058488767594099045
Norm Quadratic Average: 1.2729893922805786
Nearest Class Center Accuracy: 0.4615

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120611190795898
Linear Weight Rank: 179
Intra Cos: 0.07549913972616196
Inter Cos: 0.10386444628238678
Norm Quadratic Average: 1.0004316568374634
Nearest Class Center Accuracy: 0.451

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.696336030960083
Linear Weight Rank: 4
Intra Cos: 0.07659797370433807
Inter Cos: 0.13927358388900757
Norm Quadratic Average: 0.9589173197746277
Nearest Class Center Accuracy: 0.4375

Output Layer:
Intra Cos: 0.055938173085451126
Inter Cos: 0.1645296961069107
Norm Quadratic Average: 1.0182609558105469
Nearest Class Center Accuracy: 0.3995

