Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.190708160400391
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.182017803192139
Linear Weight Rank: 180
Intra Cos: 0.028969964012503624
Inter Cos: -0.004910602234303951
Norm Quadratic Average: 12.264464378356934
Nearest Class Center Accuracy: 0.59175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.124839782714844
Linear Weight Rank: 179
Intra Cos: 0.029666230082511902
Inter Cos: -0.005508589092642069
Norm Quadratic Average: 12.231261253356934
Nearest Class Center Accuracy: 0.63325

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.112187385559082
Linear Weight Rank: 180
Intra Cos: 0.03567187115550041
Inter Cos: -0.0101452162489295
Norm Quadratic Average: 12.202091217041016
Nearest Class Center Accuracy: 0.737

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.067872524261475
Linear Weight Rank: 179
Intra Cos: 0.06946110725402832
Inter Cos: -0.020517820492386818
Norm Quadratic Average: 12.16771125793457
Nearest Class Center Accuracy: 0.941625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.66322922706604
Linear Weight Rank: 4
Intra Cos: 0.23357371985912323
Inter Cos: -0.06460881978273392
Norm Quadratic Average: 12.432560920715332
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8675351738929749
Inter Cos: -0.17985455691814423
Norm Quadratic Average: 10.023049354553223
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0188806495666505
Accuracy: 0.725
NC1 Within Class Collapse: 3.7857537269592285
NC2 Equinorm: Features: 0.06940432637929916, Weights: 0.043247561901807785
NC2 Equiangle: Features: 0.07410983741283417, Weights: 0.041710312167803444
NC3 Self-Duality: 0.16945882141590118
NC4 NCC Mismatch: 0.05149999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.190708160400391
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.182017803192139
Linear Weight Rank: 180
Intra Cos: 0.026390140876173973
Inter Cos: -0.004664336796849966
Norm Quadratic Average: 12.277000427246094
Nearest Class Center Accuracy: 0.592

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.124839782714844
Linear Weight Rank: 179
Intra Cos: 0.02574802003800869
Inter Cos: -0.005383950658142567
Norm Quadratic Average: 12.230210304260254
Nearest Class Center Accuracy: 0.627

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.112187385559082
Linear Weight Rank: 180
Intra Cos: 0.02628258615732193
Inter Cos: -0.006326385773718357
Norm Quadratic Average: 12.177088737487793
Nearest Class Center Accuracy: 0.6605

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.067872524261475
Linear Weight Rank: 179
Intra Cos: 0.039576202630996704
Inter Cos: -0.008221839554607868
Norm Quadratic Average: 12.090947151184082
Nearest Class Center Accuracy: 0.703

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.66322922706604
Linear Weight Rank: 4
Intra Cos: 0.10281356424093246
Inter Cos: -0.020348230376839638
Norm Quadratic Average: 12.06951904296875
Nearest Class Center Accuracy: 0.7315

Output Layer:
Intra Cos: 0.4038568437099457
Inter Cos: -0.08134085685014725
Norm Quadratic Average: 9.159690856933594
Nearest Class Center Accuracy: 0.7285

