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_314159_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1611056327819824
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
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: 3.361096143722534
Linear Weight Rank: 179
Intra Cos: 0.0263995211571455
Inter Cos: -0.003844559658318758
Norm Quadratic Average: 5.416672229766846
Nearest Class Center Accuracy: 0.590375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2791192531585693
Linear Weight Rank: 179
Intra Cos: 0.03157268464565277
Inter Cos: -0.004328970797359943
Norm Quadratic Average: 5.402809143066406
Nearest Class Center Accuracy: 0.666875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.161896228790283
Linear Weight Rank: 179
Intra Cos: 0.04949496313929558
Inter Cos: -0.008442649617791176
Norm Quadratic Average: 5.3884100914001465
Nearest Class Center Accuracy: 0.808

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1255853176116943
Linear Weight Rank: 178
Intra Cos: 0.12939392030239105
Inter Cos: -0.03658614680171013
Norm Quadratic Average: 5.375633716583252
Nearest Class Center Accuracy: 0.99675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1007726192474365
Linear Weight Rank: 4
Intra Cos: 0.6346854567527771
Inter Cos: -0.16682979464530945
Norm Quadratic Average: 5.782839298248291
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9621632695198059
Inter Cos: -0.19962967932224274
Norm Quadratic Average: 5.633608341217041
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.7340854682922363
Accuracy: 0.735
NC1 Within Class Collapse: 3.0790696144104004
NC2 Equinorm: Features: 0.05183904990553856, Weights: 0.03226102888584137
NC2 Equiangle: Features: 0.07090913256009419, Weights: 0.03008827567100525
NC3 Self-Duality: 0.11345115303993225
NC4 NCC Mismatch: 0.020000000000000018

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1611056327819824
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
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: 3.361096143722534
Linear Weight Rank: 179
Intra Cos: 0.02537875808775425
Inter Cos: -0.0031633819453418255
Norm Quadratic Average: 5.4409098625183105
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2791192531585693
Linear Weight Rank: 179
Intra Cos: 0.026198413223028183
Inter Cos: -0.003237231634557247
Norm Quadratic Average: 5.408310890197754
Nearest Class Center Accuracy: 0.64

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.161896228790283
Linear Weight Rank: 179
Intra Cos: 0.03573102504014969
Inter Cos: -0.0023341237101703882
Norm Quadratic Average: 5.392691612243652
Nearest Class Center Accuracy: 0.6745

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1255853176116943
Linear Weight Rank: 178
Intra Cos: 0.0700136050581932
Inter Cos: -0.008306753821671009
Norm Quadratic Average: 5.277225494384766
Nearest Class Center Accuracy: 0.738

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1007726192474365
Linear Weight Rank: 4
Intra Cos: 0.2509963810443878
Inter Cos: -0.04650147259235382
Norm Quadratic Average: 5.227744102478027
Nearest Class Center Accuracy: 0.739

Output Layer:
Intra Cos: 0.4362342655658722
Inter Cos: -0.08501181751489639
Norm Quadratic Average: 4.754232406616211
Nearest Class Center Accuracy: 0.7365

