Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.012312889099121
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060266494750977
Linear Weight Rank: 179
Intra Cos: 0.08009601384401321
Inter Cos: 0.006831176578998566
Norm Quadratic Average: 12.1622896194458
Nearest Class Center Accuracy: 0.87175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.055236339569092
Linear Weight Rank: 179
Intra Cos: 0.1152515783905983
Inter Cos: 0.009544296190142632
Norm Quadratic Average: 12.120713233947754
Nearest Class Center Accuracy: 0.912625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.992027282714844
Linear Weight Rank: 180
Intra Cos: 0.14175114035606384
Inter Cos: 0.0009310183813795447
Norm Quadratic Average: 12.082781791687012
Nearest Class Center Accuracy: 0.958375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.992990493774414
Linear Weight Rank: 179
Intra Cos: 0.21065936982631683
Inter Cos: -0.011056465096771717
Norm Quadratic Average: 12.050576210021973
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.286921262741089
Linear Weight Rank: 4
Intra Cos: 0.39843976497650146
Inter Cos: -0.055493757128715515
Norm Quadratic Average: 12.198931694030762
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9303587079048157
Inter Cos: -0.09594891220331192
Norm Quadratic Average: 10.38430118560791
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.27356032276153563
Accuracy: 0.8965
NC1 Within Class Collapse: 1.2385796308517456
NC2 Equinorm: Features: 0.016358695924282074, Weights: 0.025201546028256416
NC2 Equiangle: Features: 0.2858014901479085, Weights: 0.09937923153241475
NC3 Self-Duality: 0.20557177066802979
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.012312889099121
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060266494750977
Linear Weight Rank: 179
Intra Cos: 0.0807899683713913
Inter Cos: 0.0077017517760396
Norm Quadratic Average: 12.151004791259766
Nearest Class Center Accuracy: 0.8765

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.055236339569092
Linear Weight Rank: 179
Intra Cos: 0.11070911586284637
Inter Cos: 0.0042044175788760185
Norm Quadratic Average: 12.15645980834961
Nearest Class Center Accuracy: 0.8975

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.992027282714844
Linear Weight Rank: 180
Intra Cos: 0.13113318383693695
Inter Cos: 0.007872667163610458
Norm Quadratic Average: 12.118531227111816
Nearest Class Center Accuracy: 0.8925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.992990493774414
Linear Weight Rank: 179
Intra Cos: 0.1801031529903412
Inter Cos: -0.008675548247992992
Norm Quadratic Average: 12.022027969360352
Nearest Class Center Accuracy: 0.9105

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.286921262741089
Linear Weight Rank: 4
Intra Cos: 0.3040372133255005
Inter Cos: -0.03436713665723801
Norm Quadratic Average: 12.047236442565918
Nearest Class Center Accuracy: 0.906

Output Layer:
Intra Cos: 0.7441990971565247
Inter Cos: -0.04056495428085327
Norm Quadratic Average: 10.042219161987305
Nearest Class Center Accuracy: 0.903

