Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.260233879089355
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
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: 8.161975860595703
Linear Weight Rank: 180
Intra Cos: 0.013514839112758636
Inter Cos: 0.003505831118673086
Norm Quadratic Average: 4.858652591705322
Nearest Class Center Accuracy: 0.45825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145577430725098
Linear Weight Rank: 179
Intra Cos: 0.03172983601689339
Inter Cos: 0.009330316446721554
Norm Quadratic Average: 2.2576589584350586
Nearest Class Center Accuracy: 0.475125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.174332618713379
Linear Weight Rank: 180
Intra Cos: 0.07204402983188629
Inter Cos: 0.026517024263739586
Norm Quadratic Average: 1.4403201341629028
Nearest Class Center Accuracy: 0.483625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.154557228088379
Linear Weight Rank: 179
Intra Cos: 0.11207600682973862
Inter Cos: 0.047906748950481415
Norm Quadratic Average: 1.2206839323043823
Nearest Class Center Accuracy: 0.486

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.869025707244873
Linear Weight Rank: 4
Intra Cos: 0.13725385069847107
Inter Cos: 0.08654696494340897
Norm Quadratic Average: 1.1991705894470215
Nearest Class Center Accuracy: 0.477625

Output Layer:
Intra Cos: 0.15078794956207275
Inter Cos: 0.13250620663166046
Norm Quadratic Average: 1.2599339485168457
Nearest Class Center Accuracy: 0.46575

Test Set:
Average Loss: 1.1991775398254394
Accuracy: 0.475
NC1 Within Class Collapse: 26.494773864746094
NC2 Equinorm: Features: 0.13813672959804535, Weights: 0.03337245061993599
NC2 Equiangle: Features: 0.613279660542806, Weights: 0.22817583878835043
NC3 Self-Duality: 0.40215927362442017
NC4 NCC Mismatch: 0.138

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.260233879089355
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
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: 8.161975860595703
Linear Weight Rank: 180
Intra Cos: 0.014670215547084808
Inter Cos: 0.0041067893616855145
Norm Quadratic Average: 4.851861476898193
Nearest Class Center Accuracy: 0.473

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145577430725098
Linear Weight Rank: 179
Intra Cos: 0.03241997957229614
Inter Cos: 0.0104536022990942
Norm Quadratic Average: 2.246995687484741
Nearest Class Center Accuracy: 0.4805

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.174332618713379
Linear Weight Rank: 180
Intra Cos: 0.07245250791311264
Inter Cos: 0.029652634635567665
Norm Quadratic Average: 1.4261281490325928
Nearest Class Center Accuracy: 0.483

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.154557228088379
Linear Weight Rank: 179
Intra Cos: 0.1042700856924057
Inter Cos: 0.048249926418066025
Norm Quadratic Average: 1.205863118171692
Nearest Class Center Accuracy: 0.487

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.869025707244873
Linear Weight Rank: 4
Intra Cos: 0.1176520362496376
Inter Cos: 0.07747441530227661
Norm Quadratic Average: 1.1863044500350952
Nearest Class Center Accuracy: 0.475

Output Layer:
Intra Cos: 0.12335475534200668
Inter Cos: 0.11462128162384033
Norm Quadratic Average: 1.2507469654083252
Nearest Class Center Accuracy: 0.454

