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_979323_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.194744110107422
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.126532077789307
Linear Weight Rank: 180
Intra Cos: 0.014145109802484512
Inter Cos: 0.008351731114089489
Norm Quadratic Average: 4.312247276306152
Nearest Class Center Accuracy: 0.454

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.121174335479736
Linear Weight Rank: 179
Intra Cos: 0.025938652455806732
Inter Cos: 0.04612728953361511
Norm Quadratic Average: 1.7327238321304321
Nearest Class Center Accuracy: 0.4375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169674873352051
Linear Weight Rank: 179
Intra Cos: 0.04070775583386421
Inter Cos: 0.11785382777452469
Norm Quadratic Average: 1.026789903640747
Nearest Class Center Accuracy: 0.412875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1465744972229
Linear Weight Rank: 180
Intra Cos: 0.04700177162885666
Inter Cos: 0.17904643714427948
Norm Quadratic Average: 0.8643227219581604
Nearest Class Center Accuracy: 0.38775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.5804145336151123
Linear Weight Rank: 4
Intra Cos: 0.04729083925485611
Inter Cos: 0.21108564734458923
Norm Quadratic Average: 0.877825915813446
Nearest Class Center Accuracy: 0.37925

Output Layer:
Intra Cos: 0.0366608090698719
Inter Cos: 0.20895493030548096
Norm Quadratic Average: 0.9768461585044861
Nearest Class Center Accuracy: 0.373875

Test Set:
Average Loss: 1.273166820526123
Accuracy: 0.387
NC1 Within Class Collapse: 37.07807922363281
NC2 Equinorm: Features: 0.3256496787071228, Weights: 0.15077050030231476
NC2 Equiangle: Features: 0.8759094874064127, Weights: 0.3163307309150696
NC3 Self-Duality: 0.5291621685028076
NC4 NCC Mismatch: 0.2935

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.194744110107422
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
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: 7.126532077789307
Linear Weight Rank: 180
Intra Cos: 0.012724504806101322
Inter Cos: 0.00776115246117115
Norm Quadratic Average: 4.29266357421875
Nearest Class Center Accuracy: 0.4615

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.121174335479736
Linear Weight Rank: 179
Intra Cos: 0.021980855613946915
Inter Cos: 0.04551094025373459
Norm Quadratic Average: 1.7223751544952393
Nearest Class Center Accuracy: 0.46

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169674873352051
Linear Weight Rank: 179
Intra Cos: 0.031043820083141327
Inter Cos: 0.11725899577140808
Norm Quadratic Average: 1.0238184928894043
Nearest Class Center Accuracy: 0.4225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1465744972229
Linear Weight Rank: 180
Intra Cos: 0.03374134376645088
Inter Cos: 0.1767999231815338
Norm Quadratic Average: 0.8618482947349548
Nearest Class Center Accuracy: 0.4015

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.5804145336151123
Linear Weight Rank: 4
Intra Cos: 0.03362536057829857
Inter Cos: 0.20874813199043274
Norm Quadratic Average: 0.8745652437210083
Nearest Class Center Accuracy: 0.3785

Output Layer:
Intra Cos: 0.019270271062850952
Inter Cos: 0.2126029133796692
Norm Quadratic Average: 0.9726963043212891
Nearest Class Center Accuracy: 0.374

