Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.054197311401367
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.420548677444458
Linear Weight Rank: 179
Intra Cos: 0.029162652790546417
Inter Cos: -0.005182420369237661
Norm Quadratic Average: 3.348400592803955
Nearest Class Center Accuracy: 0.603625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.265204429626465
Linear Weight Rank: 180
Intra Cos: 0.03522057831287384
Inter Cos: -0.008519096300005913
Norm Quadratic Average: 3.3118999004364014
Nearest Class Center Accuracy: 0.704125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.039935350418091
Linear Weight Rank: 180
Intra Cos: 0.05969316512346268
Inter Cos: -0.017812157049775124
Norm Quadratic Average: 3.2922260761260986
Nearest Class Center Accuracy: 0.864375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.932239055633545
Linear Weight Rank: 177
Intra Cos: 0.19873134791851044
Inter Cos: -0.06126978248357773
Norm Quadratic Average: 3.276414155960083
Nearest Class Center Accuracy: 0.9995

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.086388349533081
Linear Weight Rank: 4
Intra Cos: 0.8714150786399841
Inter Cos: -0.2270675152540207
Norm Quadratic Average: 3.940866708755493
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9820223450660706
Inter Cos: -0.22404006123542786
Norm Quadratic Average: 4.3928728103637695
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.6875581741333008
Accuracy: 0.74
NC1 Within Class Collapse: 2.823026180267334
NC2 Equinorm: Features: 0.027788937091827393, Weights: 0.02789994888007641
NC2 Equiangle: Features: 0.05153609315554301, Weights: 0.017450004816055298
NC3 Self-Duality: 0.055405110120773315
NC4 NCC Mismatch: 0.005499999999999949

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.054197311401367
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
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: 2.420548677444458
Linear Weight Rank: 179
Intra Cos: 0.02643795683979988
Inter Cos: -0.004922438412904739
Norm Quadratic Average: 3.354085683822632
Nearest Class Center Accuracy: 0.604

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.265204429626465
Linear Weight Rank: 180
Intra Cos: 0.029314713552594185
Inter Cos: -0.006556159816682339
Norm Quadratic Average: 3.315152883529663
Nearest Class Center Accuracy: 0.663

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.039935350418091
Linear Weight Rank: 180
Intra Cos: 0.03852323815226555
Inter Cos: -0.00882178358733654
Norm Quadratic Average: 3.2790064811706543
Nearest Class Center Accuracy: 0.7125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.932239055633545
Linear Weight Rank: 177
Intra Cos: 0.09661657363176346
Inter Cos: -0.018429502844810486
Norm Quadratic Average: 3.157167911529541
Nearest Class Center Accuracy: 0.75

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.086388349533081
Linear Weight Rank: 4
Intra Cos: 0.36742785573005676
Inter Cos: -0.09180811047554016
Norm Quadratic Average: 3.3419179916381836
Nearest Class Center Accuracy: 0.7425

Output Layer:
Intra Cos: 0.4561537802219391
Inter Cos: -0.12703508138656616
Norm Quadratic Average: 3.569530487060547
Nearest Class Center Accuracy: 0.742

