Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_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: 7.999600410461426
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: 8.175875663757324
Linear Weight Rank: 180
Intra Cos: 0.012901793234050274
Inter Cos: 0.004694357980042696
Norm Quadratic Average: 13.803000450134277
Nearest Class Center Accuracy: 0.458

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134838104248047
Linear Weight Rank: 179
Intra Cos: 0.011279579252004623
Inter Cos: 0.0029517533257603645
Norm Quadratic Average: 13.793633460998535
Nearest Class Center Accuracy: 0.487375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.020429611206055
Linear Weight Rank: 180
Intra Cos: 0.013495052233338356
Inter Cos: 0.002460742136463523
Norm Quadratic Average: 13.7727689743042
Nearest Class Center Accuracy: 0.56575

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.979905128479004
Linear Weight Rank: 179
Intra Cos: 0.026753896847367287
Inter Cos: -0.0025037997402250767
Norm Quadratic Average: 13.732024192810059
Nearest Class Center Accuracy: 0.808625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2557802200317383
Linear Weight Rank: 4
Intra Cos: 0.11868306994438171
Inter Cos: -0.029104795306921005
Norm Quadratic Average: 14.099040031433105
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8642739653587341
Inter Cos: -0.20675797760486603
Norm Quadratic Average: 9.815262794494629
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.320467720031738
Accuracy: 0.512
NC1 Within Class Collapse: 12.3873929977417
NC2 Equinorm: Features: 0.06851693242788315, Weights: 0.028166664764285088
NC2 Equiangle: Features: 0.23955386877059937, Weights: 0.04606477916240692
NC3 Self-Duality: 0.34400033950805664
NC4 NCC Mismatch: 0.15349999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.999600410461426
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: 8.175875663757324
Linear Weight Rank: 180
Intra Cos: 0.014294454827904701
Inter Cos: 0.004669238347560167
Norm Quadratic Average: 13.753905296325684
Nearest Class Center Accuracy: 0.456

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134838104248047
Linear Weight Rank: 179
Intra Cos: 0.010655042715370655
Inter Cos: 0.003135372418910265
Norm Quadratic Average: 13.780783653259277
Nearest Class Center Accuracy: 0.493

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.020429611206055
Linear Weight Rank: 180
Intra Cos: 0.009168269112706184
Inter Cos: 0.0032601342536509037
Norm Quadratic Average: 13.789454460144043
Nearest Class Center Accuracy: 0.492

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.979905128479004
Linear Weight Rank: 179
Intra Cos: 0.00945894606411457
Inter Cos: 0.0016659018583595753
Norm Quadratic Average: 13.739473342895508
Nearest Class Center Accuracy: 0.5125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2557802200317383
Linear Weight Rank: 4
Intra Cos: 0.020677274093031883
Inter Cos: 0.003329589031636715
Norm Quadratic Average: 13.75483226776123
Nearest Class Center Accuracy: 0.542

Output Layer:
Intra Cos: 0.13998226821422577
Inter Cos: 0.010043056681752205
Norm Quadratic Average: 8.269742012023926
Nearest Class Center Accuracy: 0.5155

