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_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.905898094177246
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.163273811340332
Linear Weight Rank: 180
Intra Cos: 0.012430205941200256
Inter Cos: 0.0054113357327878475
Norm Quadratic Average: 13.486042022705078
Nearest Class Center Accuracy: 0.461125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.044923782348633
Linear Weight Rank: 180
Intra Cos: 0.01125152688473463
Inter Cos: 0.004408650565892458
Norm Quadratic Average: 13.43308162689209
Nearest Class Center Accuracy: 0.484625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018754959106445
Linear Weight Rank: 180
Intra Cos: 0.011634538881480694
Inter Cos: 0.0012873365776613355
Norm Quadratic Average: 13.434825897216797
Nearest Class Center Accuracy: 0.5175

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.919705390930176
Linear Weight Rank: 179
Intra Cos: 0.015400875359773636
Inter Cos: -0.0004393731942400336
Norm Quadratic Average: 13.408409118652344
Nearest Class Center Accuracy: 0.587

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.868288040161133
Linear Weight Rank: 179
Intra Cos: 0.0235599372535944
Inter Cos: -0.0026464955881237984
Norm Quadratic Average: 13.417309761047363
Nearest Class Center Accuracy: 0.705875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.849897384643555
Linear Weight Rank: 180
Intra Cos: 0.04206386208534241
Inter Cos: -0.007468115072697401
Norm Quadratic Average: 13.429640769958496
Nearest Class Center Accuracy: 0.882625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802309036254883
Linear Weight Rank: 179
Intra Cos: 0.08553922921419144
Inter Cos: -0.017096970230340958
Norm Quadratic Average: 13.453248023986816
Nearest Class Center Accuracy: 0.996125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6110873222351074
Linear Weight Rank: 4
Intra Cos: 0.25301212072372437
Inter Cos: -0.0716765820980072
Norm Quadratic Average: 13.818880081176758
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.904819667339325
Inter Cos: -0.22961246967315674
Norm Quadratic Average: 10.819173812866211
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.551485549926758
Accuracy: 0.4935
NC1 Within Class Collapse: 15.924968719482422
NC2 Equinorm: Features: 0.09777472168207169, Weights: 0.013889513909816742
NC2 Equiangle: Features: 0.23513531684875488, Weights: 0.05588057140509287
NC3 Self-Duality: 0.2512526214122772
NC4 NCC Mismatch: 0.09099999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.905898094177246
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.163273811340332
Linear Weight Rank: 180
Intra Cos: 0.012563358061015606
Inter Cos: 0.00485758762806654
Norm Quadratic Average: 13.42686939239502
Nearest Class Center Accuracy: 0.4615

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.044923782348633
Linear Weight Rank: 180
Intra Cos: 0.011791914701461792
Inter Cos: 0.004474483896046877
Norm Quadratic Average: 13.359697341918945
Nearest Class Center Accuracy: 0.4935

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018754959106445
Linear Weight Rank: 180
Intra Cos: 0.008702638559043407
Inter Cos: 0.0018015718087553978
Norm Quadratic Average: 13.397972106933594
Nearest Class Center Accuracy: 0.4915

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.919705390930176
Linear Weight Rank: 179
Intra Cos: 0.008460692130029202
Inter Cos: 0.0011634965194389224
Norm Quadratic Average: 13.26327896118164
Nearest Class Center Accuracy: 0.4995

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.868288040161133
Linear Weight Rank: 179
Intra Cos: 0.008725243620574474
Inter Cos: 0.001398740103468299
Norm Quadratic Average: 13.226991653442383
Nearest Class Center Accuracy: 0.5085

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.849897384643555
Linear Weight Rank: 180
Intra Cos: 0.009092030115425587
Inter Cos: 0.0005801986553706229
Norm Quadratic Average: 13.0943021774292
Nearest Class Center Accuracy: 0.52

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802309036254883
Linear Weight Rank: 179
Intra Cos: 0.012487693689763546
Inter Cos: 0.00011253815318923444
Norm Quadratic Average: 12.810050010681152
Nearest Class Center Accuracy: 0.52

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6110873222351074
Linear Weight Rank: 4
Intra Cos: 0.02809247374534607
Inter Cos: 0.0021283216774463654
Norm Quadratic Average: 12.332903861999512
Nearest Class Center Accuracy: 0.499

Output Layer:
Intra Cos: 0.1129186674952507
Inter Cos: 0.010949375107884407
Norm Quadratic Average: 8.003016471862793
Nearest Class Center Accuracy: 0.489

