Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.080317497253418
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.0062224422581493855
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.261391639709473
Linear Weight Rank: 180
Intra Cos: 0.025416633114218712
Inter Cos: -0.0033700934145599604
Norm Quadratic Average: 13.948493003845215
Nearest Class Center Accuracy: 0.584

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.214025497436523
Linear Weight Rank: 179
Intra Cos: 0.026762191206216812
Inter Cos: -0.0024814638309180737
Norm Quadratic Average: 13.928315162658691
Nearest Class Center Accuracy: 0.628875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113556861877441
Linear Weight Rank: 179
Intra Cos: 0.03121025301516056
Inter Cos: -0.0046256836503744125
Norm Quadratic Average: 13.89427375793457
Nearest Class Center Accuracy: 0.688875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.087528228759766
Linear Weight Rank: 180
Intra Cos: 0.03914400935173035
Inter Cos: -0.009600766003131866
Norm Quadratic Average: 13.87133502960205
Nearest Class Center Accuracy: 0.773

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.082364082336426
Linear Weight Rank: 180
Intra Cos: 0.051929328590631485
Inter Cos: -0.01199815422296524
Norm Quadratic Average: 13.874946594238281
Nearest Class Center Accuracy: 0.875875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.043049812316895
Linear Weight Rank: 180
Intra Cos: 0.08695565164089203
Inter Cos: -0.021541114896535873
Norm Quadratic Average: 13.89218807220459
Nearest Class Center Accuracy: 0.975125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028342247009277
Linear Weight Rank: 180
Intra Cos: 0.17618627846240997
Inter Cos: -0.051245491951704025
Norm Quadratic Average: 13.94598388671875
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.345954179763794
Linear Weight Rank: 4
Intra Cos: 0.3665030300617218
Inter Cos: -0.1171235516667366
Norm Quadratic Average: 14.143123626708984
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9255850315093994
Inter Cos: -0.23221953213214874
Norm Quadratic Average: 11.558714866638184
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3487398986816406
Accuracy: 0.7
NC1 Within Class Collapse: 3.95168137550354
NC2 Equinorm: Features: 0.06443633139133453, Weights: 0.032833281904459
NC2 Equiangle: Features: 0.07833852370580037, Weights: 0.08715797464052837
NC3 Self-Duality: 0.2014918178319931
NC4 NCC Mismatch: 0.03149999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.080317497253418
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549723584204912
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.261391639709473
Linear Weight Rank: 180
Intra Cos: 0.024291466921567917
Inter Cos: -0.0025730773340910673
Norm Quadratic Average: 14.008102416992188
Nearest Class Center Accuracy: 0.577

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.214025497436523
Linear Weight Rank: 179
Intra Cos: 0.02375444769859314
Inter Cos: -0.0017431158339604735
Norm Quadratic Average: 13.959031105041504
Nearest Class Center Accuracy: 0.6155

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113556861877441
Linear Weight Rank: 179
Intra Cos: 0.02631421945989132
Inter Cos: -0.0032808962278068066
Norm Quadratic Average: 13.875289916992188
Nearest Class Center Accuracy: 0.66

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.087528228759766
Linear Weight Rank: 180
Intra Cos: 0.028775546699762344
Inter Cos: -0.006090676877647638
Norm Quadratic Average: 13.779752731323242
Nearest Class Center Accuracy: 0.6725

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.082364082336426
Linear Weight Rank: 180
Intra Cos: 0.03016221523284912
Inter Cos: -0.005393308587372303
Norm Quadratic Average: 13.683789253234863
Nearest Class Center Accuracy: 0.6775

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.043049812316895
Linear Weight Rank: 180
Intra Cos: 0.03895373269915581
Inter Cos: -0.005811607930809259
Norm Quadratic Average: 13.563801765441895
Nearest Class Center Accuracy: 0.6895

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028342247009277
Linear Weight Rank: 180
Intra Cos: 0.0636516883969307
Inter Cos: -0.011607477441430092
Norm Quadratic Average: 13.331005096435547
Nearest Class Center Accuracy: 0.712

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.345954179763794
Linear Weight Rank: 4
Intra Cos: 0.11476591229438782
Inter Cos: -0.02675870805978775
Norm Quadratic Average: 12.981481552124023
Nearest Class Center Accuracy: 0.7095

Output Layer:
Intra Cos: 0.34640827775001526
Inter Cos: -0.07004743814468384
Norm Quadratic Average: 9.651352882385254
Nearest Class Center Accuracy: 0.7

