Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.200651168823242
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.15397834777832
Linear Weight Rank: 179
Intra Cos: 0.07481259852647781
Inter Cos: 0.005669114179909229
Norm Quadratic Average: 14.087320327758789
Nearest Class Center Accuracy: 0.87925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.125381469726562
Linear Weight Rank: 179
Intra Cos: 0.11278415471315384
Inter Cos: 0.005755872465670109
Norm Quadratic Average: 14.069437026977539
Nearest Class Center Accuracy: 0.921375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.165350914001465
Linear Weight Rank: 180
Intra Cos: 0.15220694243907928
Inter Cos: -0.002830004785209894
Norm Quadratic Average: 14.05480670928955
Nearest Class Center Accuracy: 0.959

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120628356933594
Linear Weight Rank: 180
Intra Cos: 0.21411845088005066
Inter Cos: -0.0031964872032403946
Norm Quadratic Average: 14.017899513244629
Nearest Class Center Accuracy: 0.9975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.441317081451416
Linear Weight Rank: 4
Intra Cos: 0.3587695062160492
Inter Cos: -0.044483475387096405
Norm Quadratic Average: 14.074951171875
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9128343462944031
Inter Cos: -0.059617362916469574
Norm Quadratic Average: 12.29898738861084
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2573661284446716
Accuracy: 0.9055
NC1 Within Class Collapse: 1.3118959665298462
NC2 Equinorm: Features: 0.007846816442906857, Weights: 0.0178099125623703
NC2 Equiangle: Features: 0.3091774384180705, Weights: 0.14185830950737
NC3 Self-Duality: 0.2166789323091507
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.200651168823242
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.0033128932118415833
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.15397834777832
Linear Weight Rank: 179
Intra Cos: 0.07311950623989105
Inter Cos: 0.005998122040182352
Norm Quadratic Average: 14.072028160095215
Nearest Class Center Accuracy: 0.885

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.125381469726562
Linear Weight Rank: 179
Intra Cos: 0.10856665670871735
Inter Cos: 0.005418024025857449
Norm Quadratic Average: 14.076165199279785
Nearest Class Center Accuracy: 0.9075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.165350914001465
Linear Weight Rank: 180
Intra Cos: 0.1379675418138504
Inter Cos: 0.005264912731945515
Norm Quadratic Average: 14.08041000366211
Nearest Class Center Accuracy: 0.912

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120628356933594
Linear Weight Rank: 180
Intra Cos: 0.18461205065250397
Inter Cos: -0.0009315400384366512
Norm Quadratic Average: 13.977276802062988
Nearest Class Center Accuracy: 0.926

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.441317081451416
Linear Weight Rank: 4
Intra Cos: 0.2837173640727997
Inter Cos: -0.01615818217396736
Norm Quadratic Average: 13.863471984863281
Nearest Class Center Accuracy: 0.9135

Output Layer:
Intra Cos: 0.7294859290122986
Inter Cos: -0.002535313367843628
Norm Quadratic Average: 11.901036262512207
Nearest Class Center Accuracy: 0.9155

