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_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.866664886474609
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.870318412780762
Linear Weight Rank: 180
Intra Cos: 0.02528410218656063
Inter Cos: -0.0046769315376877785
Norm Quadratic Average: 13.451362609863281
Nearest Class Center Accuracy: 0.573875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82085657119751
Linear Weight Rank: 179
Intra Cos: 0.02897617220878601
Inter Cos: -0.0034458520822227
Norm Quadratic Average: 13.426552772521973
Nearest Class Center Accuracy: 0.629875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.837592124938965
Linear Weight Rank: 179
Intra Cos: 0.03613291680812836
Inter Cos: -0.006824905052781105
Norm Quadratic Average: 13.39802360534668
Nearest Class Center Accuracy: 0.7505

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.782050132751465
Linear Weight Rank: 179
Intra Cos: 0.06715357303619385
Inter Cos: -0.016122967004776
Norm Quadratic Average: 13.377789497375488
Nearest Class Center Accuracy: 0.944875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.7927796840667725
Linear Weight Rank: 4
Intra Cos: 0.21030685305595398
Inter Cos: -0.060854751616716385
Norm Quadratic Average: 13.68299674987793
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8597592711448669
Inter Cos: -0.1685187816619873
Norm Quadratic Average: 10.923038482666016
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0537271118164062
Accuracy: 0.7305
NC1 Within Class Collapse: 3.7598626613616943
NC2 Equinorm: Features: 0.06464170664548874, Weights: 0.03203504905104637
NC2 Equiangle: Features: 0.08415337403615315, Weights: 0.05400309960047404
NC3 Self-Duality: 0.1982451230287552
NC4 NCC Mismatch: 0.0645

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.866664886474609
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 7.870318412780762
Linear Weight Rank: 180
Intra Cos: 0.023555632680654526
Inter Cos: -0.003487346228212118
Norm Quadratic Average: 13.451096534729004
Nearest Class Center Accuracy: 0.595

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82085657119751
Linear Weight Rank: 179
Intra Cos: 0.02515459805727005
Inter Cos: -0.0015787918819114566
Norm Quadratic Average: 13.407093048095703
Nearest Class Center Accuracy: 0.6175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.837592124938965
Linear Weight Rank: 179
Intra Cos: 0.02618955448269844
Inter Cos: -0.003411760088056326
Norm Quadratic Average: 13.406294822692871
Nearest Class Center Accuracy: 0.6655

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.782050132751465
Linear Weight Rank: 179
Intra Cos: 0.03788960725069046
Inter Cos: -0.00507007073611021
Norm Quadratic Average: 13.339213371276855
Nearest Class Center Accuracy: 0.7095

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.7927796840667725
Linear Weight Rank: 4
Intra Cos: 0.09288731962442398
Inter Cos: -0.016282713040709496
Norm Quadratic Average: 13.422858238220215
Nearest Class Center Accuracy: 0.743

Output Layer:
Intra Cos: 0.4062638580799103
Inter Cos: -0.06523525714874268
Norm Quadratic Average: 10.057389259338379
Nearest Class Center Accuracy: 0.733

