Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_338327_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.129122257232666
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
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: 7.167890548706055
Linear Weight Rank: 180
Intra Cos: 0.0715571790933609
Inter Cos: 0.002820231718942523
Norm Quadratic Average: 12.232157707214355
Nearest Class Center Accuracy: 0.85625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.113502502441406
Linear Weight Rank: 180
Intra Cos: 0.10809610784053802
Inter Cos: 0.0038762828335165977
Norm Quadratic Average: 12.215806007385254
Nearest Class Center Accuracy: 0.919125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.083522796630859
Linear Weight Rank: 179
Intra Cos: 0.13384003937244415
Inter Cos: 0.009554307907819748
Norm Quadratic Average: 12.192084312438965
Nearest Class Center Accuracy: 0.941375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.091000556945801
Linear Weight Rank: 180
Intra Cos: 0.15202927589416504
Inter Cos: 0.008933186531066895
Norm Quadratic Average: 12.15268325805664
Nearest Class Center Accuracy: 0.963875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.090275764465332
Linear Weight Rank: 180
Intra Cos: 0.17429065704345703
Inter Cos: -0.005185363814234734
Norm Quadratic Average: 12.122203826904297
Nearest Class Center Accuracy: 0.988625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.069954872131348
Linear Weight Rank: 180
Intra Cos: 0.23414038121700287
Inter Cos: -0.016134286299347878
Norm Quadratic Average: 12.105497360229492
Nearest Class Center Accuracy: 0.99975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0871710777282715
Linear Weight Rank: 179
Intra Cos: 0.3234350085258484
Inter Cos: -0.04311530664563179
Norm Quadratic Average: 12.079898834228516
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9069832563400269
Linear Weight Rank: 4
Intra Cos: 0.4943053424358368
Inter Cos: -0.11141364276409149
Norm Quadratic Average: 12.215378761291504
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9679633975028992
Inter Cos: -0.15520396828651428
Norm Quadratic Average: 9.288450241088867
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3556780481338501
Accuracy: 0.8765
NC1 Within Class Collapse: 1.1612671613693237
NC2 Equinorm: Features: 0.008002785965800285, Weights: 0.03999186307191849
NC2 Equiangle: Features: 0.22521241505940756, Weights: 0.09108116229375203
NC3 Self-Duality: 0.20763947069644928
NC4 NCC Mismatch: 0.015499999999999958

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.129122257232666
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.167890548706055
Linear Weight Rank: 180
Intra Cos: 0.07349305599927902
Inter Cos: 0.0038750753737986088
Norm Quadratic Average: 12.222975730895996
Nearest Class Center Accuracy: 0.855

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.113502502441406
Linear Weight Rank: 180
Intra Cos: 0.1057974174618721
Inter Cos: 0.006618104875087738
Norm Quadratic Average: 12.213247299194336
Nearest Class Center Accuracy: 0.8935

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.083522796630859
Linear Weight Rank: 179
Intra Cos: 0.1260811984539032
Inter Cos: 0.014148605987429619
Norm Quadratic Average: 12.205045700073242
Nearest Class Center Accuracy: 0.897

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.091000556945801
Linear Weight Rank: 180
Intra Cos: 0.1431407332420349
Inter Cos: 0.013422802090644836
Norm Quadratic Average: 12.160231590270996
Nearest Class Center Accuracy: 0.8875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.090275764465332
Linear Weight Rank: 180
Intra Cos: 0.15550032258033752
Inter Cos: -0.0009449443314224482
Norm Quadratic Average: 12.070196151733398
Nearest Class Center Accuracy: 0.8965

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.069954872131348
Linear Weight Rank: 180
Intra Cos: 0.19063083827495575
Inter Cos: -0.006787167862057686
Norm Quadratic Average: 11.943622589111328
Nearest Class Center Accuracy: 0.8975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0871710777282715
Linear Weight Rank: 179
Intra Cos: 0.24696743488311768
Inter Cos: -0.02050970308482647
Norm Quadratic Average: 11.788692474365234
Nearest Class Center Accuracy: 0.8875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9069832563400269
Linear Weight Rank: 4
Intra Cos: 0.3559909164905548
Inter Cos: -0.0478106327354908
Norm Quadratic Average: 11.572032928466797
Nearest Class Center Accuracy: 0.8805

Output Layer:
Intra Cos: 0.7004702091217041
Inter Cos: -0.06340400874614716
Norm Quadratic Average: 8.466917037963867
Nearest Class Center Accuracy: 0.8755

