Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_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: 7.796799182891846
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 7.845963478088379
Linear Weight Rank: 179
Intra Cos: 0.07892563194036484
Inter Cos: 0.006359121762216091
Norm Quadratic Average: 13.486810684204102
Nearest Class Center Accuracy: 0.868625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.842777252197266
Linear Weight Rank: 179
Intra Cos: 0.11399181187152863
Inter Cos: 0.008358687162399292
Norm Quadratic Average: 13.479090690612793
Nearest Class Center Accuracy: 0.90975

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.774260997772217
Linear Weight Rank: 180
Intra Cos: 0.13960669934749603
Inter Cos: 0.0016016315203160048
Norm Quadratic Average: 13.391881942749023
Nearest Class Center Accuracy: 0.955

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.776194095611572
Linear Weight Rank: 179
Intra Cos: 0.20307108759880066
Inter Cos: -0.011418884620070457
Norm Quadratic Average: 13.349513053894043
Nearest Class Center Accuracy: 0.9975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.392367124557495
Linear Weight Rank: 4
Intra Cos: 0.36762410402297974
Inter Cos: -0.045737963169813156
Norm Quadratic Average: 13.460515975952148
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9240387678146362
Inter Cos: -0.07373104989528656
Norm Quadratic Average: 11.548725128173828
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2802680759429932
Accuracy: 0.905
NC1 Within Class Collapse: 1.2935783863067627
NC2 Equinorm: Features: 0.02503199689090252, Weights: 0.02541498653590679
NC2 Equiangle: Features: 0.2980916698773702, Weights: 0.11033916473388672
NC3 Self-Duality: 0.21814045310020447
NC4 NCC Mismatch: 0.01749999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.796799182891846
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 7.845963478088379
Linear Weight Rank: 179
Intra Cos: 0.08028914034366608
Inter Cos: 0.007174566853791475
Norm Quadratic Average: 13.470063209533691
Nearest Class Center Accuracy: 0.8725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.842777252197266
Linear Weight Rank: 179
Intra Cos: 0.10958855599164963
Inter Cos: 0.0030852758791297674
Norm Quadratic Average: 13.513628959655762
Nearest Class Center Accuracy: 0.894

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.774260997772217
Linear Weight Rank: 180
Intra Cos: 0.12958493828773499
Inter Cos: 0.008904787711799145
Norm Quadratic Average: 13.422995567321777
Nearest Class Center Accuracy: 0.8895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.776194095611572
Linear Weight Rank: 179
Intra Cos: 0.17559756338596344
Inter Cos: -0.009753065183758736
Norm Quadratic Average: 13.315519332885742
Nearest Class Center Accuracy: 0.9065

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.392367124557495
Linear Weight Rank: 4
Intra Cos: 0.2870308458805084
Inter Cos: -0.02816365845501423
Norm Quadratic Average: 13.32575798034668
Nearest Class Center Accuracy: 0.9075

Output Layer:
Intra Cos: 0.7526241540908813
Inter Cos: -0.022753559052944183
Norm Quadratic Average: 11.236833572387695
Nearest Class Center Accuracy: 0.9085

