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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.171086311340332
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: 8.136062622070312
Linear Weight Rank: 180
Intra Cos: 0.06239825859665871
Inter Cos: 0.0015585417859256268
Norm Quadratic Average: 4.778307914733887
Nearest Class Center Accuracy: 0.798875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111350059509277
Linear Weight Rank: 180
Intra Cos: 0.044514499604701996
Inter Cos: 0.011004890315234661
Norm Quadratic Average: 1.6736693382263184
Nearest Class Center Accuracy: 0.72575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098671913146973
Linear Weight Rank: 179
Intra Cos: 0.037310853600502014
Inter Cos: 0.011697891168296337
Norm Quadratic Average: 0.6199923157691956
Nearest Class Center Accuracy: 0.6345

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122303009033203
Linear Weight Rank: 180
Intra Cos: 0.043960101902484894
Inter Cos: 0.010392886586487293
Norm Quadratic Average: 0.23294128477573395
Nearest Class Center Accuracy: 0.5995

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132834434509277
Linear Weight Rank: 179
Intra Cos: 0.049091264605522156
Inter Cos: 0.016433315351605415
Norm Quadratic Average: 0.09444521367549896
Nearest Class Center Accuracy: 0.577125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.115668296813965
Linear Weight Rank: 180
Intra Cos: 0.04543554410338402
Inter Cos: 0.03785564377903938
Norm Quadratic Average: 0.0405842550098896
Nearest Class Center Accuracy: 0.538125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139102935791016
Linear Weight Rank: 179
Intra Cos: 0.045754607766866684
Inter Cos: 0.0509684681892395
Norm Quadratic Average: 0.01618250645697117
Nearest Class Center Accuracy: 0.493

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1206406354904175
Linear Weight Rank: 4
Intra Cos: 0.051306694746017456
Inter Cos: 0.06031561270356178
Norm Quadratic Average: 0.006899109575897455
Nearest Class Center Accuracy: 0.485

Output Layer:
Intra Cos: 0.10331187397241592
Inter Cos: 0.15316100418567657
Norm Quadratic Average: 0.0009748487500473857
Nearest Class Center Accuracy: 0.462375

Test Set:
Average Loss: 1.38722501373291
Accuracy: 0.257
NC1 Within Class Collapse: 98.41444396972656
NC2 Equinorm: Features: 0.19934172928333282, Weights: 0.007859192788600922
NC2 Equiangle: Features: 0.6010488669077555, Weights: 0.34897804260253906
NC3 Self-Duality: 1.56116783618927
NC4 NCC Mismatch: 0.844

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.171086311340332
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: 8.136062622070312
Linear Weight Rank: 180
Intra Cos: 0.0641474574804306
Inter Cos: 0.005137368105351925
Norm Quadratic Average: 4.769777774810791
Nearest Class Center Accuracy: 0.8045

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111350059509277
Linear Weight Rank: 180
Intra Cos: 0.04519421234726906
Inter Cos: 0.012565044686198235
Norm Quadratic Average: 1.6695457696914673
Nearest Class Center Accuracy: 0.7295

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098671913146973
Linear Weight Rank: 179
Intra Cos: 0.0394267663359642
Inter Cos: 0.013414780609309673
Norm Quadratic Average: 0.618187665939331
Nearest Class Center Accuracy: 0.6475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122303009033203
Linear Weight Rank: 180
Intra Cos: 0.05134633183479309
Inter Cos: 0.011177954263985157
Norm Quadratic Average: 0.2329489290714264
Nearest Class Center Accuracy: 0.617

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132834434509277
Linear Weight Rank: 179
Intra Cos: 0.047164492309093475
Inter Cos: 0.01804060861468315
Norm Quadratic Average: 0.09440776705741882
Nearest Class Center Accuracy: 0.5995

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.115668296813965
Linear Weight Rank: 180
Intra Cos: 0.052421215921640396
Inter Cos: 0.04050569608807564
Norm Quadratic Average: 0.04058084636926651
Nearest Class Center Accuracy: 0.5695

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139102935791016
Linear Weight Rank: 179
Intra Cos: 0.05184023082256317
Inter Cos: 0.05257045477628708
Norm Quadratic Average: 0.016220659017562866
Nearest Class Center Accuracy: 0.517

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1206406354904175
Linear Weight Rank: 4
Intra Cos: 0.05647619068622589
Inter Cos: 0.0616871602833271
Norm Quadratic Average: 0.0069147441536188126
Nearest Class Center Accuracy: 0.4955

Output Layer:
Intra Cos: 0.10682743787765503
Inter Cos: 0.16846302151679993
Norm Quadratic Average: 0.0009881233563646674
Nearest Class Center Accuracy: 0.4735

