Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.441755771636963
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 5.455411911010742
Linear Weight Rank: 179
Intra Cos: 0.16783535480499268
Inter Cos: 0.01163337379693985
Norm Quadratic Average: 3.378166675567627
Nearest Class Center Accuracy: 0.9465

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.456517219543457
Linear Weight Rank: 179
Intra Cos: 0.602721631526947
Inter Cos: 0.06305588781833649
Norm Quadratic Average: 2.6786320209503174
Nearest Class Center Accuracy: 0.95325

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.483750343322754
Linear Weight Rank: 179
Intra Cos: 0.6870914697647095
Inter Cos: 0.09218208491802216
Norm Quadratic Average: 3.724771738052368
Nearest Class Center Accuracy: 0.940625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.487979412078857
Linear Weight Rank: 179
Intra Cos: 0.6847066879272461
Inter Cos: 0.10404417663812637
Norm Quadratic Average: 5.306510925292969
Nearest Class Center Accuracy: 0.9375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.680086612701416
Linear Weight Rank: 4
Intra Cos: 0.665309727191925
Inter Cos: 0.10090622305870056
Norm Quadratic Average: 7.32472562789917
Nearest Class Center Accuracy: 0.937

Output Layer:
Intra Cos: 0.7739839553833008
Inter Cos: 0.0852193832397461
Norm Quadratic Average: 12.567198753356934
Nearest Class Center Accuracy: 0.954

Test Set:
Average Loss: 0.08674365782737732
Accuracy: 0.974
NC1 Within Class Collapse: 1.5970466136932373
NC2 Equinorm: Features: 0.03748227283358574, Weights: 0.027495479211211205
NC2 Equiangle: Features: 0.43566401799519855, Weights: 0.40598011016845703
NC3 Self-Duality: 0.0868886336684227
NC4 NCC Mismatch: 0.0695

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.441755771636963
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 5.455411911010742
Linear Weight Rank: 179
Intra Cos: 0.17087422311306
Inter Cos: 0.004970209673047066
Norm Quadratic Average: 3.3818347454071045
Nearest Class Center Accuracy: 0.943

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.456517219543457
Linear Weight Rank: 179
Intra Cos: 0.5916290879249573
Inter Cos: 0.05341765284538269
Norm Quadratic Average: 2.7038509845733643
Nearest Class Center Accuracy: 0.9485

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.483750343322754
Linear Weight Rank: 179
Intra Cos: 0.6729821562767029
Inter Cos: 0.08487779647111893
Norm Quadratic Average: 3.760557174682617
Nearest Class Center Accuracy: 0.936

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.487979412078857
Linear Weight Rank: 179
Intra Cos: 0.6703808307647705
Inter Cos: 0.08840404450893402
Norm Quadratic Average: 5.353852272033691
Nearest Class Center Accuracy: 0.9315

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.680086612701416
Linear Weight Rank: 4
Intra Cos: 0.6518897414207458
Inter Cos: 0.08561792224645615
Norm Quadratic Average: 7.387310981750488
Nearest Class Center Accuracy: 0.931

Output Layer:
Intra Cos: 0.7663654685020447
Inter Cos: 0.09781542420387268
Norm Quadratic Average: 12.65103530883789
Nearest Class Center Accuracy: 0.947

