Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_338327_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.111809730529785
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148153305053711
Linear Weight Rank: 180
Intra Cos: 0.07114431262016296
Inter Cos: 0.0028548622503876686
Norm Quadratic Average: 13.92365550994873
Nearest Class Center Accuracy: 0.853875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.090079307556152
Linear Weight Rank: 180
Intra Cos: 0.1062108725309372
Inter Cos: 0.0051326872780919075
Norm Quadratic Average: 13.903386116027832
Nearest Class Center Accuracy: 0.917

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058441162109375
Linear Weight Rank: 179
Intra Cos: 0.1307530254125595
Inter Cos: 0.00785102043300867
Norm Quadratic Average: 13.878379821777344
Nearest Class Center Accuracy: 0.93975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06915283203125
Linear Weight Rank: 180
Intra Cos: 0.14856234192848206
Inter Cos: 0.012631740421056747
Norm Quadratic Average: 13.843685150146484
Nearest Class Center Accuracy: 0.95975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.069737434387207
Linear Weight Rank: 179
Intra Cos: 0.1710868924856186
Inter Cos: -0.0049737198278307915
Norm Quadratic Average: 13.809800148010254
Nearest Class Center Accuracy: 0.982875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.047268867492676
Linear Weight Rank: 180
Intra Cos: 0.21519255638122559
Inter Cos: -0.012352981604635715
Norm Quadratic Average: 13.786742210388184
Nearest Class Center Accuracy: 0.99775

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067131996154785
Linear Weight Rank: 179
Intra Cos: 0.2824837267398834
Inter Cos: -0.039605576545000076
Norm Quadratic Average: 13.746088027954102
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0386476516723633
Linear Weight Rank: 4
Intra Cos: 0.4331067204475403
Inter Cos: -0.09870006144046783
Norm Quadratic Average: 13.876426696777344
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9608509540557861
Inter Cos: -0.149368017911911
Norm Quadratic Average: 10.685641288757324
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.39701869392395017
Accuracy: 0.8795
NC1 Within Class Collapse: 1.2439531087875366
NC2 Equinorm: Features: 0.008446863852441311, Weights: 0.040328867733478546
NC2 Equiangle: Features: 0.23986069361368814, Weights: 0.10320423046747844
NC3 Self-Duality: 0.2265884131193161
NC4 NCC Mismatch: 0.016000000000000014

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.111809730529785
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148153305053711
Linear Weight Rank: 180
Intra Cos: 0.07308675348758698
Inter Cos: 0.0038230265490710735
Norm Quadratic Average: 13.914758682250977
Nearest Class Center Accuracy: 0.849

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.090079307556152
Linear Weight Rank: 180
Intra Cos: 0.10415913164615631
Inter Cos: 0.006674366537481546
Norm Quadratic Average: 13.895146369934082
Nearest Class Center Accuracy: 0.893

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058441162109375
Linear Weight Rank: 179
Intra Cos: 0.12352600693702698
Inter Cos: 0.012501927092671394
Norm Quadratic Average: 13.879725456237793
Nearest Class Center Accuracy: 0.898

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06915283203125
Linear Weight Rank: 180
Intra Cos: 0.13994653522968292
Inter Cos: 0.017408834770321846
Norm Quadratic Average: 13.844741821289062
Nearest Class Center Accuracy: 0.8905

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.069737434387207
Linear Weight Rank: 179
Intra Cos: 0.15445315837860107
Inter Cos: 0.0022428364027291536
Norm Quadratic Average: 13.733366012573242
Nearest Class Center Accuracy: 0.8855

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.047268867492676
Linear Weight Rank: 180
Intra Cos: 0.1826547533273697
Inter Cos: -0.0009332048939540982
Norm Quadratic Average: 13.59382438659668
Nearest Class Center Accuracy: 0.897

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067131996154785
Linear Weight Rank: 179
Intra Cos: 0.21762138605117798
Inter Cos: -0.016462787985801697
Norm Quadratic Average: 13.45262622833252
Nearest Class Center Accuracy: 0.886

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0386476516723633
Linear Weight Rank: 4
Intra Cos: 0.31428074836730957
Inter Cos: -0.04354272782802582
Norm Quadratic Average: 13.247818946838379
Nearest Class Center Accuracy: 0.879

Output Layer:
Intra Cos: 0.7015067934989929
Inter Cos: -0.06409119814634323
Norm Quadratic Average: 9.81330680847168
Nearest Class Center Accuracy: 0.88

