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_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.787183165550232
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: 1.921879768371582
Linear Weight Rank: 180
Intra Cos: 0.10828246176242828
Inter Cos: 0.00835934653878212
Norm Quadratic Average: 3.0268914699554443
Nearest Class Center Accuracy: 0.921

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8366999626159668
Linear Weight Rank: 179
Intra Cos: 0.16174091398715973
Inter Cos: 0.011029133573174477
Norm Quadratic Average: 2.9584624767303467
Nearest Class Center Accuracy: 0.956

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7591463327407837
Linear Weight Rank: 179
Intra Cos: 0.2789781987667084
Inter Cos: -0.0014911608304828405
Norm Quadratic Average: 2.939408540725708
Nearest Class Center Accuracy: 0.996625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7447177171707153
Linear Weight Rank: 179
Intra Cos: 0.6023345589637756
Inter Cos: -0.08306143432855606
Norm Quadratic Average: 2.9442942142486572
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9858267307281494
Linear Weight Rank: 4
Intra Cos: 0.9603010416030884
Inter Cos: -0.26050740480422974
Norm Quadratic Average: 3.5730338096618652
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9978346228599548
Inter Cos: -0.24960148334503174
Norm Quadratic Average: 3.977440118789673
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.18640598106384276
Accuracy: 0.9375
NC1 Within Class Collapse: 0.47226256132125854
NC2 Equinorm: Features: 0.01748845726251602, Weights: 0.020521875470876694
NC2 Equiangle: Features: 0.1324280103047689, Weights: 0.020642966032028198
NC3 Self-Duality: 0.03725488483905792
NC4 NCC Mismatch: 0.0050000000000000044

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.787183165550232
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: 1.921879768371582
Linear Weight Rank: 180
Intra Cos: 0.10552982985973358
Inter Cos: 0.009181945584714413
Norm Quadratic Average: 3.0278475284576416
Nearest Class Center Accuracy: 0.9175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8366999626159668
Linear Weight Rank: 179
Intra Cos: 0.15324179828166962
Inter Cos: 0.010403270833194256
Norm Quadratic Average: 2.9691295623779297
Nearest Class Center Accuracy: 0.92

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7591463327407837
Linear Weight Rank: 179
Intra Cos: 0.24688073992729187
Inter Cos: 0.0007318486459553242
Norm Quadratic Average: 2.939239740371704
Nearest Class Center Accuracy: 0.9365

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7447177171707153
Linear Weight Rank: 179
Intra Cos: 0.5014967918395996
Inter Cos: -0.046104058623313904
Norm Quadratic Average: 2.8766870498657227
Nearest Class Center Accuracy: 0.9405

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9858267307281494
Linear Weight Rank: 4
Intra Cos: 0.7908975481987
Inter Cos: -0.1652703583240509
Norm Quadratic Average: 3.300015449523926
Nearest Class Center Accuracy: 0.9355

Output Layer:
Intra Cos: 0.8441667556762695
Inter Cos: -0.15676836669445038
Norm Quadratic Average: 3.6421384811401367
Nearest Class Center Accuracy: 0.9365

