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_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1996235847473145
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: 3.318586587905884
Linear Weight Rank: 180
Intra Cos: 0.08281620591878891
Inter Cos: 0.0018187384121119976
Norm Quadratic Average: 5.410591125488281
Nearest Class Center Accuracy: 0.889875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2432146072387695
Linear Weight Rank: 180
Intra Cos: 0.13363665342330933
Inter Cos: 0.0022470629774034023
Norm Quadratic Average: 5.3899407386779785
Nearest Class Center Accuracy: 0.95

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.207101345062256
Linear Weight Rank: 180
Intra Cos: 0.15772093832492828
Inter Cos: 0.0009665950201451778
Norm Quadratic Average: 5.377257347106934
Nearest Class Center Accuracy: 0.9685

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1607272624969482
Linear Weight Rank: 179
Intra Cos: 0.20054130256175995
Inter Cos: 0.005727238021790981
Norm Quadratic Average: 5.358691692352295
Nearest Class Center Accuracy: 0.991125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1460072994232178
Linear Weight Rank: 179
Intra Cos: 0.30189448595046997
Inter Cos: -0.008635844103991985
Norm Quadratic Average: 5.350222110748291
Nearest Class Center Accuracy: 0.999

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1259002685546875
Linear Weight Rank: 179
Intra Cos: 0.4567625820636749
Inter Cos: -0.056751951575279236
Norm Quadratic Average: 5.337190628051758
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1203296184539795
Linear Weight Rank: 180
Intra Cos: 0.6838881969451904
Inter Cos: -0.13379257917404175
Norm Quadratic Average: 5.352530002593994
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6695027351379395
Linear Weight Rank: 4
Intra Cos: 0.9060640335083008
Inter Cos: -0.2496701329946518
Norm Quadratic Average: 5.628412246704102
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9929162263870239
Inter Cos: -0.24635830521583557
Norm Quadratic Average: 5.007359981536865
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2623178148269653
Accuracy: 0.903
NC1 Within Class Collapse: 0.7294133901596069
NC2 Equinorm: Features: 0.013114381581544876, Weights: 0.03270099312067032
NC2 Equiangle: Features: 0.13100016117095947, Weights: 0.04175896445910136
NC3 Self-Duality: 0.08088528364896774
NC4 NCC Mismatch: 0.010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1996235847473145
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: 3.318586587905884
Linear Weight Rank: 180
Intra Cos: 0.0834689810872078
Inter Cos: 0.006564614363014698
Norm Quadratic Average: 5.405406475067139
Nearest Class Center Accuracy: 0.8935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2432146072387695
Linear Weight Rank: 180
Intra Cos: 0.12860828638076782
Inter Cos: 0.004146619699895382
Norm Quadratic Average: 5.397511959075928
Nearest Class Center Accuracy: 0.924

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.207101345062256
Linear Weight Rank: 180
Intra Cos: 0.14535805583000183
Inter Cos: 0.0014338858891278505
Norm Quadratic Average: 5.3773512840271
Nearest Class Center Accuracy: 0.912

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1607272624969482
Linear Weight Rank: 179
Intra Cos: 0.1742403656244278
Inter Cos: 0.003708065254613757
Norm Quadratic Average: 5.348567485809326
Nearest Class Center Accuracy: 0.9085

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1460072994232178
Linear Weight Rank: 179
Intra Cos: 0.24519988894462585
Inter Cos: -0.009884550236165524
Norm Quadratic Average: 5.327949047088623
Nearest Class Center Accuracy: 0.91

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1259002685546875
Linear Weight Rank: 179
Intra Cos: 0.35749882459640503
Inter Cos: -0.03729606047272682
Norm Quadratic Average: 5.263441562652588
Nearest Class Center Accuracy: 0.908

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1203296184539795
Linear Weight Rank: 180
Intra Cos: 0.5107069611549377
Inter Cos: -0.07164948433637619
Norm Quadratic Average: 5.1352314949035645
Nearest Class Center Accuracy: 0.913

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6695027351379395
Linear Weight Rank: 4
Intra Cos: 0.6489394903182983
Inter Cos: -0.12929150462150574
Norm Quadratic Average: 5.1661176681518555
Nearest Class Center Accuracy: 0.908

Output Layer:
Intra Cos: 0.7352739572525024
Inter Cos: -0.12240985780954361
Norm Quadratic Average: 4.518580913543701
Nearest Class Center Accuracy: 0.906

