Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8415632247924805
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.197046279907227
Linear Weight Rank: 179
Intra Cos: 0.012973681092262268
Inter Cos: 0.0047708675265312195
Norm Quadratic Average: 13.442163467407227
Nearest Class Center Accuracy: 0.45875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.106110572814941
Linear Weight Rank: 179
Intra Cos: 0.012657277286052704
Inter Cos: 0.0030746636912226677
Norm Quadratic Average: 13.422406196594238
Nearest Class Center Accuracy: 0.481875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.975346565246582
Linear Weight Rank: 179
Intra Cos: 0.013524225912988186
Inter Cos: 0.002617419231683016
Norm Quadratic Average: 13.38253402709961
Nearest Class Center Accuracy: 0.510625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.918938636779785
Linear Weight Rank: 180
Intra Cos: 0.017886199057102203
Inter Cos: 0.0007694801315665245
Norm Quadratic Average: 13.383448600769043
Nearest Class Center Accuracy: 0.588

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.881763935089111
Linear Weight Rank: 180
Intra Cos: 0.02479926496744156
Inter Cos: 0.0014903806149959564
Norm Quadratic Average: 13.377115249633789
Nearest Class Center Accuracy: 0.697625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.812407970428467
Linear Weight Rank: 180
Intra Cos: 0.03948800638318062
Inter Cos: -0.003638939931988716
Norm Quadratic Average: 13.383201599121094
Nearest Class Center Accuracy: 0.869125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.779052734375
Linear Weight Rank: 180
Intra Cos: 0.09025777876377106
Inter Cos: -0.019626878201961517
Norm Quadratic Average: 13.457951545715332
Nearest Class Center Accuracy: 0.997125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.601762294769287
Linear Weight Rank: 4
Intra Cos: 0.2631782293319702
Inter Cos: -0.07250329852104187
Norm Quadratic Average: 13.885995864868164
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9126477241516113
Inter Cos: -0.2098233848810196
Norm Quadratic Average: 10.973904609680176
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.6134039764404298
Accuracy: 0.4865
NC1 Within Class Collapse: 16.345516204833984
NC2 Equinorm: Features: 0.042537957429885864, Weights: 0.04342333972454071
NC2 Equiangle: Features: 0.28032304843266803, Weights: 0.06622232000033061
NC3 Self-Duality: 0.2641354501247406
NC4 NCC Mismatch: 0.08699999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8415632247924805
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.197046279907227
Linear Weight Rank: 179
Intra Cos: 0.014246150851249695
Inter Cos: 0.004705260973423719
Norm Quadratic Average: 13.393385887145996
Nearest Class Center Accuracy: 0.4625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.106110572814941
Linear Weight Rank: 179
Intra Cos: 0.012252945452928543
Inter Cos: 0.0028761946596205235
Norm Quadratic Average: 13.394055366516113
Nearest Class Center Accuracy: 0.4925

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.975346565246582
Linear Weight Rank: 179
Intra Cos: 0.011064693331718445
Inter Cos: 0.002828181255608797
Norm Quadratic Average: 13.341894149780273
Nearest Class Center Accuracy: 0.4995

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.918938636779785
Linear Weight Rank: 180
Intra Cos: 0.011846880428493023
Inter Cos: 0.0017227543285116553
Norm Quadratic Average: 13.294737815856934
Nearest Class Center Accuracy: 0.504

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.881763935089111
Linear Weight Rank: 180
Intra Cos: 0.011619285680353642
Inter Cos: 0.003364496398717165
Norm Quadratic Average: 13.184231758117676
Nearest Class Center Accuracy: 0.5015

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.812407970428467
Linear Weight Rank: 180
Intra Cos: 0.01068025827407837
Inter Cos: 0.003479534760117531
Norm Quadratic Average: 13.098821640014648
Nearest Class Center Accuracy: 0.5035

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.779052734375
Linear Weight Rank: 180
Intra Cos: 0.014944462105631828
Inter Cos: 0.0032707189675420523
Norm Quadratic Average: 12.839591026306152
Nearest Class Center Accuracy: 0.517

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.601762294769287
Linear Weight Rank: 4
Intra Cos: 0.02987213060259819
Inter Cos: 0.0038699819706380367
Norm Quadratic Average: 12.402438163757324
Nearest Class Center Accuracy: 0.507

Output Layer:
Intra Cos: 0.11088409274816513
Inter Cos: 0.024269159883260727
Norm Quadratic Average: 8.122830390930176
Nearest Class Center Accuracy: 0.495

