Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.935267448425293
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 7.936407566070557
Linear Weight Rank: 180
Intra Cos: 0.07410092651844025
Inter Cos: 0.002253286074846983
Norm Quadratic Average: 13.51697826385498
Nearest Class Center Accuracy: 0.862875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8891425132751465
Linear Weight Rank: 179
Intra Cos: 0.11498202383518219
Inter Cos: 0.000943377148360014
Norm Quadratic Average: 13.511100769042969
Nearest Class Center Accuracy: 0.926375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8656511306762695
Linear Weight Rank: 180
Intra Cos: 0.15470120310783386
Inter Cos: 0.006721379701048136
Norm Quadratic Average: 13.482474327087402
Nearest Class Center Accuracy: 0.968125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.882447719573975
Linear Weight Rank: 180
Intra Cos: 0.21764662861824036
Inter Cos: 0.006758387200534344
Norm Quadratic Average: 13.478878021240234
Nearest Class Center Accuracy: 0.997375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.432695150375366
Linear Weight Rank: 4
Intra Cos: 0.37575846910476685
Inter Cos: -0.03765029087662697
Norm Quadratic Average: 13.662625312805176
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9233084917068481
Inter Cos: -0.07290971279144287
Norm Quadratic Average: 11.989864349365234
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2835255184173584
Accuracy: 0.899
NC1 Within Class Collapse: 1.3823472261428833
NC2 Equinorm: Features: 0.03930544853210449, Weights: 0.017378397285938263
NC2 Equiangle: Features: 0.30770734945933026, Weights: 0.11470816532770793
NC3 Self-Duality: 0.21626044809818268
NC4 NCC Mismatch: 0.022499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.935267448425293
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 7.936407566070557
Linear Weight Rank: 180
Intra Cos: 0.07604844868183136
Inter Cos: 0.004367491230368614
Norm Quadratic Average: 13.506287574768066
Nearest Class Center Accuracy: 0.866

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8891425132751465
Linear Weight Rank: 179
Intra Cos: 0.11249895393848419
Inter Cos: 0.004647482186555862
Norm Quadratic Average: 13.512740135192871
Nearest Class Center Accuracy: 0.905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8656511306762695
Linear Weight Rank: 180
Intra Cos: 0.14512832462787628
Inter Cos: 0.011583084240555763
Norm Quadratic Average: 13.495607376098633
Nearest Class Center Accuracy: 0.9145

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.882447719573975
Linear Weight Rank: 180
Intra Cos: 0.18694768846035004
Inter Cos: 0.011399306356906891
Norm Quadratic Average: 13.483113288879395
Nearest Class Center Accuracy: 0.9055

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.432695150375366
Linear Weight Rank: 4
Intra Cos: 0.2799032926559448
Inter Cos: -0.013643118552863598
Norm Quadratic Average: 13.490803718566895
Nearest Class Center Accuracy: 0.907

Output Layer:
Intra Cos: 0.7298915386199951
Inter Cos: -0.013627767562866211
Norm Quadratic Average: 11.597848892211914
Nearest Class Center Accuracy: 0.9035

