Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_338327_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.922488689422607
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.888561248779297
Linear Weight Rank: 180
Intra Cos: 0.06238517537713051
Inter Cos: 0.001550986897200346
Norm Quadratic Average: 4.632909774780273
Nearest Class Center Accuracy: 0.799

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.864612102508545
Linear Weight Rank: 180
Intra Cos: 0.04419329762458801
Inter Cos: 0.010880802758038044
Norm Quadratic Average: 1.5724127292633057
Nearest Class Center Accuracy: 0.725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.852316379547119
Linear Weight Rank: 179
Intra Cos: 0.03701716288924217
Inter Cos: 0.011319227516651154
Norm Quadratic Average: 0.5650321841239929
Nearest Class Center Accuracy: 0.632375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.875218391418457
Linear Weight Rank: 180
Intra Cos: 0.04291493818163872
Inter Cos: 0.00962105207145214
Norm Quadratic Average: 0.20672118663787842
Nearest Class Center Accuracy: 0.59775

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.885436058044434
Linear Weight Rank: 179
Intra Cos: 0.04748157784342766
Inter Cos: 0.014867395162582397
Norm Quadratic Average: 0.08152998238801956
Nearest Class Center Accuracy: 0.574875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.86881685256958
Linear Weight Rank: 180
Intra Cos: 0.04317573085427284
Inter Cos: 0.03457271307706833
Norm Quadratic Average: 0.03382717818021774
Nearest Class Center Accuracy: 0.53875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.891552925109863
Linear Weight Rank: 179
Intra Cos: 0.04207116365432739
Inter Cos: 0.045472919940948486
Norm Quadratic Average: 0.013021807186305523
Nearest Class Center Accuracy: 0.493625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0857586860656738
Linear Weight Rank: 4
Intra Cos: 0.04596083611249924
Inter Cos: 0.053096842020750046
Norm Quadratic Average: 0.005361086223274469
Nearest Class Center Accuracy: 0.484375

Output Layer:
Intra Cos: 0.0904984399676323
Inter Cos: 0.13944870233535767
Norm Quadratic Average: 0.0006939594750292599
Nearest Class Center Accuracy: 0.454875

Test Set:
Average Loss: 1.3873041458129882
Accuracy: 0.257
NC1 Within Class Collapse: 99.43537139892578
NC2 Equinorm: Features: 0.21186982095241547, Weights: 0.00782490149140358
NC2 Equiangle: Features: 0.580842932065328, Weights: 0.3495164712270101
NC3 Self-Duality: 1.5881644487380981
NC4 NCC Mismatch: 0.849

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.922488689422607
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
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: 7.888561248779297
Linear Weight Rank: 180
Intra Cos: 0.06413331627845764
Inter Cos: 0.0051296367309987545
Norm Quadratic Average: 4.624630928039551
Nearest Class Center Accuracy: 0.8045

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.864612102508545
Linear Weight Rank: 180
Intra Cos: 0.044875893741846085
Inter Cos: 0.012440212070941925
Norm Quadratic Average: 1.5685080289840698
Nearest Class Center Accuracy: 0.7275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.852316379547119
Linear Weight Rank: 179
Intra Cos: 0.0388803631067276
Inter Cos: 0.013004835695028305
Norm Quadratic Average: 0.5633648037910461
Nearest Class Center Accuracy: 0.6425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.875218391418457
Linear Weight Rank: 180
Intra Cos: 0.050525858998298645
Inter Cos: 0.010295533575117588
Norm Quadratic Average: 0.2067023664712906
Nearest Class Center Accuracy: 0.614

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.885436058044434
Linear Weight Rank: 179
Intra Cos: 0.045583512634038925
Inter Cos: 0.016416281461715698
Norm Quadratic Average: 0.08146918565034866
Nearest Class Center Accuracy: 0.596

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.86881685256958
Linear Weight Rank: 180
Intra Cos: 0.04989158362150192
Inter Cos: 0.036797456443309784
Norm Quadratic Average: 0.033796701580286026
Nearest Class Center Accuracy: 0.5635

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.891552925109863
Linear Weight Rank: 179
Intra Cos: 0.04796583950519562
Inter Cos: 0.04601199924945831
Norm Quadratic Average: 0.013040927238762379
Nearest Class Center Accuracy: 0.512

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0857586860656738
Linear Weight Rank: 4
Intra Cos: 0.05085231363773346
Inter Cos: 0.05320892482995987
Norm Quadratic Average: 0.005368894897401333
Nearest Class Center Accuracy: 0.4945

Output Layer:
Intra Cos: 0.09368531405925751
Inter Cos: 0.15179374814033508
Norm Quadratic Average: 0.0007026841049082577
Nearest Class Center Accuracy: 0.462

