Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_846264_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.135027885437012
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: 8.168957710266113
Linear Weight Rank: 179
Intra Cos: 0.0635354071855545
Inter Cos: 0.005041396711021662
Norm Quadratic Average: 13.847672462463379
Nearest Class Center Accuracy: 0.8615

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113871574401855
Linear Weight Rank: 179
Intra Cos: 0.09124690294265747
Inter Cos: 0.006846557836979628
Norm Quadratic Average: 13.846906661987305
Nearest Class Center Accuracy: 0.89675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.070014953613281
Linear Weight Rank: 180
Intra Cos: 0.1159975528717041
Inter Cos: 0.00810572225600481
Norm Quadratic Average: 13.820765495300293
Nearest Class Center Accuracy: 0.940375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07258129119873
Linear Weight Rank: 180
Intra Cos: 0.13577143847942352
Inter Cos: -0.00046177045442163944
Norm Quadratic Average: 13.79378604888916
Nearest Class Center Accuracy: 0.966625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.054930686950684
Linear Weight Rank: 179
Intra Cos: 0.17243845760822296
Inter Cos: -0.008700180798768997
Norm Quadratic Average: 13.76569938659668
Nearest Class Center Accuracy: 0.989375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055913925170898
Linear Weight Rank: 179
Intra Cos: 0.22876448929309845
Inter Cos: -0.014139235951006413
Norm Quadratic Average: 13.779571533203125
Nearest Class Center Accuracy: 0.999375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04226303100586
Linear Weight Rank: 179
Intra Cos: 0.2924383580684662
Inter Cos: -0.03163284808397293
Norm Quadratic Average: 13.801021575927734
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0833444595336914
Linear Weight Rank: 4
Intra Cos: 0.461815744638443
Inter Cos: -0.09880418330430984
Norm Quadratic Average: 13.94899845123291
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9579560160636902
Inter Cos: -0.1414550542831421
Norm Quadratic Average: 11.000897407531738
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.38208102893829343
Accuracy: 0.8815
NC1 Within Class Collapse: 1.2387324571609497
NC2 Equinorm: Features: 0.014913119375705719, Weights: 0.025446541607379913
NC2 Equiangle: Features: 0.2298752268155416, Weights: 0.12067166964213054
NC3 Self-Duality: 0.24425266683101654
NC4 NCC Mismatch: 0.015000000000000013

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.135027885437012
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 8.168957710266113
Linear Weight Rank: 179
Intra Cos: 0.06199568510055542
Inter Cos: 0.0016915189335122705
Norm Quadratic Average: 13.827980995178223
Nearest Class Center Accuracy: 0.8665

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113871574401855
Linear Weight Rank: 179
Intra Cos: 0.08751777559518814
Inter Cos: 0.0012588691897690296
Norm Quadratic Average: 13.826885223388672
Nearest Class Center Accuracy: 0.881

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.070014953613281
Linear Weight Rank: 180
Intra Cos: 0.10757066309452057
Inter Cos: 0.0023223019670695066
Norm Quadratic Average: 13.839178085327148
Nearest Class Center Accuracy: 0.895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07258129119873
Linear Weight Rank: 180
Intra Cos: 0.12102503329515457
Inter Cos: 0.0019397535361349583
Norm Quadratic Average: 13.7647123336792
Nearest Class Center Accuracy: 0.897

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.054930686950684
Linear Weight Rank: 179
Intra Cos: 0.14525237679481506
Inter Cos: -0.002708687447011471
Norm Quadratic Average: 13.714658737182617
Nearest Class Center Accuracy: 0.8945

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055913925170898
Linear Weight Rank: 179
Intra Cos: 0.1784222275018692
Inter Cos: -0.0025612793397158384
Norm Quadratic Average: 13.643858909606934
Nearest Class Center Accuracy: 0.89

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04226303100586
Linear Weight Rank: 179
Intra Cos: 0.22129938006401062
Inter Cos: -0.007582238409668207
Norm Quadratic Average: 13.523545265197754
Nearest Class Center Accuracy: 0.8935

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0833444595336914
Linear Weight Rank: 4
Intra Cos: 0.32524049282073975
Inter Cos: -0.038465600460767746
Norm Quadratic Average: 13.3018217086792
Nearest Class Center Accuracy: 0.8855

Output Layer:
Intra Cos: 0.7092808485031128
Inter Cos: -0.027405202388763428
Norm Quadratic Average: 10.010652542114258
Nearest Class Center Accuracy: 0.8815

