Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.17447566986084
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142104148864746
Linear Weight Rank: 180
Intra Cos: 0.07045470178127289
Inter Cos: 0.0024512228555977345
Norm Quadratic Average: 13.943404197692871
Nearest Class Center Accuracy: 0.863375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.089919090270996
Linear Weight Rank: 180
Intra Cos: 0.10841920971870422
Inter Cos: 0.003287087194621563
Norm Quadratic Average: 13.901201248168945
Nearest Class Center Accuracy: 0.921875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.095771789550781
Linear Weight Rank: 180
Intra Cos: 0.12135374546051025
Inter Cos: -0.00020200584549456835
Norm Quadratic Average: 13.879799842834473
Nearest Class Center Accuracy: 0.930125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.054985046386719
Linear Weight Rank: 180
Intra Cos: 0.14940965175628662
Inter Cos: -0.0017798410262912512
Norm Quadratic Average: 13.842514991760254
Nearest Class Center Accuracy: 0.9705

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.068487167358398
Linear Weight Rank: 180
Intra Cos: 0.18812426924705505
Inter Cos: 0.0008415696211159229
Norm Quadratic Average: 13.850753784179688
Nearest Class Center Accuracy: 0.9875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042166709899902
Linear Weight Rank: 180
Intra Cos: 0.22947102785110474
Inter Cos: -0.02251460961997509
Norm Quadratic Average: 13.815017700195312
Nearest Class Center Accuracy: 0.9975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.038405418395996
Linear Weight Rank: 180
Intra Cos: 0.31723809242248535
Inter Cos: -0.0363352932035923
Norm Quadratic Average: 13.81540298461914
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0685722827911377
Linear Weight Rank: 4
Intra Cos: 0.4742131233215332
Inter Cos: -0.08823876827955246
Norm Quadratic Average: 13.951990127563477
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.958373486995697
Inter Cos: -0.11109684407711029
Norm Quadratic Average: 10.963746070861816
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3870384244918823
Accuracy: 0.8865
NC1 Within Class Collapse: 1.172380805015564
NC2 Equinorm: Features: 0.016742734238505363, Weights: 0.05217020586133003
NC2 Equiangle: Features: 0.23501388231913248, Weights: 0.1303735077381134
NC3 Self-Duality: 0.2331428974866867
NC4 NCC Mismatch: 0.018000000000000016

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.17447566986084
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: 8.142104148864746
Linear Weight Rank: 180
Intra Cos: 0.07161469757556915
Inter Cos: 0.0035086865536868572
Norm Quadratic Average: 13.9183931350708
Nearest Class Center Accuracy: 0.865

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.089919090270996
Linear Weight Rank: 180
Intra Cos: 0.10472526401281357
Inter Cos: 0.0034413975663483143
Norm Quadratic Average: 13.895615577697754
Nearest Class Center Accuracy: 0.9055

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.095771789550781
Linear Weight Rank: 180
Intra Cos: 0.11443676054477692
Inter Cos: 0.006639908067882061
Norm Quadratic Average: 13.874590873718262
Nearest Class Center Accuracy: 0.891

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.054985046386719
Linear Weight Rank: 180
Intra Cos: 0.13154512643814087
Inter Cos: -0.0013418904272839427
Norm Quadratic Average: 13.846151351928711
Nearest Class Center Accuracy: 0.8955

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.068487167358398
Linear Weight Rank: 180
Intra Cos: 0.15514247119426727
Inter Cos: 0.0007255704840645194
Norm Quadratic Average: 13.884909629821777
Nearest Class Center Accuracy: 0.8895

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042166709899902
Linear Weight Rank: 180
Intra Cos: 0.17874611914157867
Inter Cos: -0.005118282977491617
Norm Quadratic Average: 13.814417839050293
Nearest Class Center Accuracy: 0.8855

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.038405418395996
Linear Weight Rank: 180
Intra Cos: 0.22906862199306488
Inter Cos: -0.014504099264740944
Norm Quadratic Average: 13.622060775756836
Nearest Class Center Accuracy: 0.891

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0685722827911377
Linear Weight Rank: 4
Intra Cos: 0.3278382122516632
Inter Cos: -0.029160307720303535
Norm Quadratic Average: 13.445405006408691
Nearest Class Center Accuracy: 0.892

Output Layer:
Intra Cos: 0.7056606411933899
Inter Cos: -0.013256803154945374
Norm Quadratic Average: 10.154624938964844
Nearest Class Center Accuracy: 0.893

