Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8033013343811035
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.905154705047607
Linear Weight Rank: 180
Intra Cos: 0.025117112323641777
Inter Cos: -0.0032799062319099903
Norm Quadratic Average: 13.494751930236816
Nearest Class Center Accuracy: 0.5855

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.881210803985596
Linear Weight Rank: 179
Intra Cos: 0.026791473850607872
Inter Cos: -0.0030375381466001272
Norm Quadratic Average: 13.4777250289917
Nearest Class Center Accuracy: 0.639625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.792335033416748
Linear Weight Rank: 179
Intra Cos: 0.037544481456279755
Inter Cos: -0.00486923661082983
Norm Quadratic Average: 13.442316055297852
Nearest Class Center Accuracy: 0.743375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.780552387237549
Linear Weight Rank: 179
Intra Cos: 0.06470586359500885
Inter Cos: -0.017042331397533417
Norm Quadratic Average: 13.415245056152344
Nearest Class Center Accuracy: 0.938

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.790170431137085
Linear Weight Rank: 4
Intra Cos: 0.2028185874223709
Inter Cos: -0.047003693878650665
Norm Quadratic Average: 13.67612361907959
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8585519194602966
Inter Cos: -0.1301036924123764
Norm Quadratic Average: 10.951839447021484
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0823061714172364
Accuracy: 0.7335
NC1 Within Class Collapse: 3.757455348968506
NC2 Equinorm: Features: 0.051586903631687164, Weights: 0.024535732343792915
NC2 Equiangle: Features: 0.12292115887006123, Weights: 0.053423007329305015
NC3 Self-Duality: 0.19022439420223236
NC4 NCC Mismatch: 0.04700000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8033013343811035
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.905154705047607
Linear Weight Rank: 180
Intra Cos: 0.024440940469503403
Inter Cos: -0.002629069844260812
Norm Quadratic Average: 13.554758071899414
Nearest Class Center Accuracy: 0.575

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.881210803985596
Linear Weight Rank: 179
Intra Cos: 0.023138169199228287
Inter Cos: -0.002274906262755394
Norm Quadratic Average: 13.500982284545898
Nearest Class Center Accuracy: 0.6165

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.792335033416748
Linear Weight Rank: 179
Intra Cos: 0.02878321148455143
Inter Cos: -0.0012350588804110885
Norm Quadratic Average: 13.451491355895996
Nearest Class Center Accuracy: 0.664

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.780552387237549
Linear Weight Rank: 179
Intra Cos: 0.04136389493942261
Inter Cos: -0.005306899081915617
Norm Quadratic Average: 13.335915565490723
Nearest Class Center Accuracy: 0.717

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.790170431137085
Linear Weight Rank: 4
Intra Cos: 0.0964290052652359
Inter Cos: -0.015764789655804634
Norm Quadratic Average: 13.373041152954102
Nearest Class Center Accuracy: 0.736

Output Layer:
Intra Cos: 0.4132506251335144
Inter Cos: -0.06556730717420578
Norm Quadratic Average: 10.084979057312012
Nearest Class Center Accuracy: 0.735

