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_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.173288345336914
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: 8.429458618164062
Linear Weight Rank: 180
Intra Cos: 0.012445318512618542
Inter Cos: 0.005516263656318188
Norm Quadratic Average: 13.943633079528809
Nearest Class Center Accuracy: 0.45925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.313124656677246
Linear Weight Rank: 180
Intra Cos: 0.01197903510183096
Inter Cos: 0.004089465364813805
Norm Quadratic Average: 13.890503883361816
Nearest Class Center Accuracy: 0.484125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.285840034484863
Linear Weight Rank: 180
Intra Cos: 0.011304633691906929
Inter Cos: 0.0017054446507245302
Norm Quadratic Average: 13.863094329833984
Nearest Class Center Accuracy: 0.518

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.184497833251953
Linear Weight Rank: 180
Intra Cos: 0.015870392322540283
Inter Cos: -0.00034022843465209007
Norm Quadratic Average: 13.83200740814209
Nearest Class Center Accuracy: 0.591625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134224891662598
Linear Weight Rank: 179
Intra Cos: 0.022420885041356087
Inter Cos: -0.002151041990146041
Norm Quadratic Average: 13.844457626342773
Nearest Class Center Accuracy: 0.71125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.116809844970703
Linear Weight Rank: 180
Intra Cos: 0.04074754938483238
Inter Cos: -0.005012689158320427
Norm Quadratic Average: 13.865938186645508
Nearest Class Center Accuracy: 0.87925

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.068277359008789
Linear Weight Rank: 179
Intra Cos: 0.0820564329624176
Inter Cos: -0.01488738227635622
Norm Quadratic Average: 13.932195663452148
Nearest Class Center Accuracy: 0.99725

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.657358407974243
Linear Weight Rank: 4
Intra Cos: 0.24259361624717712
Inter Cos: -0.06325346231460571
Norm Quadratic Average: 14.322132110595703
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.90619295835495
Inter Cos: -0.21438059210777283
Norm Quadratic Average: 11.214064598083496
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.6554710769653322
Accuracy: 0.4935
NC1 Within Class Collapse: 16.24650764465332
NC2 Equinorm: Features: 0.10273504257202148, Weights: 0.013405839912593365
NC2 Equiangle: Features: 0.3035389184951782, Weights: 0.057811588048934937
NC3 Self-Duality: 0.2673799395561218
NC4 NCC Mismatch: 0.09250000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.173288345336914
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: 8.429458618164062
Linear Weight Rank: 180
Intra Cos: 0.012310496531426907
Inter Cos: 0.004900957457721233
Norm Quadratic Average: 13.881481170654297
Nearest Class Center Accuracy: 0.4655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.313124656677246
Linear Weight Rank: 180
Intra Cos: 0.011305787600576878
Inter Cos: 0.004302441142499447
Norm Quadratic Average: 13.816092491149902
Nearest Class Center Accuracy: 0.4905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.285840034484863
Linear Weight Rank: 180
Intra Cos: 0.008345614187419415
Inter Cos: 0.0022295855451375246
Norm Quadratic Average: 13.788822174072266
Nearest Class Center Accuracy: 0.4965

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.184497833251953
Linear Weight Rank: 180
Intra Cos: 0.00944141112267971
Inter Cos: 0.0009833164513111115
Norm Quadratic Average: 13.645533561706543
Nearest Class Center Accuracy: 0.502

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134224891662598
Linear Weight Rank: 179
Intra Cos: 0.008551635779440403
Inter Cos: 0.0007034345180727541
Norm Quadratic Average: 13.642411231994629
Nearest Class Center Accuracy: 0.5055

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.116809844970703
Linear Weight Rank: 180
Intra Cos: 0.00936696957796812
Inter Cos: 0.0004991890164092183
Norm Quadratic Average: 13.522015571594238
Nearest Class Center Accuracy: 0.5055

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.068277359008789
Linear Weight Rank: 179
Intra Cos: 0.011895381845533848
Inter Cos: 0.0013755472609773278
Norm Quadratic Average: 13.284428596496582
Nearest Class Center Accuracy: 0.517

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.657358407974243
Linear Weight Rank: 4
Intra Cos: 0.027834024280309677
Inter Cos: 0.0059005701914429665
Norm Quadratic Average: 12.807153701782227
Nearest Class Center Accuracy: 0.5045

Output Layer:
Intra Cos: 0.11227522045373917
Inter Cos: 0.0323360338807106
Norm Quadratic Average: 8.312115669250488
Nearest Class Center Accuracy: 0.498

