Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_338327_weight_decay_0.07.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.22041146457195282
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21947191655635834
Linear Weight Rank: 180
Intra Cos: 0.06239890679717064
Inter Cos: 0.001546153798699379
Norm Quadratic Average: 0.12889325618743896
Nearest Class Center Accuracy: 0.79925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21880461275577545
Linear Weight Rank: 180
Intra Cos: 0.045839302241802216
Inter Cos: 0.009330179542303085
Norm Quadratic Average: 0.0013558493228629231
Nearest Class Center Accuracy: 0.689125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.2184625118970871
Linear Weight Rank: 179
Intra Cos: 0.05581410229206085
Inter Cos: 0.011641114950180054
Norm Quadratic Average: 1.5038246601761784e-05
Nearest Class Center Accuracy: 0.6075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21909651160240173
Linear Weight Rank: 180
Intra Cos: 0.06489875167608261
Inter Cos: 0.024278931319713593
Norm Quadratic Average: 1.6719182838187407e-07
Nearest Class Center Accuracy: 0.58825

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.03177616000175476
Linear Weight Rank: 4
Intra Cos: 0.9172046780586243
Inter Cos: 0.9178695678710938
Norm Quadratic Average: 5.939289060563624e-09
Nearest Class Center Accuracy: 0.40475

Output Layer:
Intra Cos: 0.9999995231628418
Inter Cos: 0.9999998807907104
Norm Quadratic Average: 4.5625302647067656e-08
Nearest Class Center Accuracy: 0.2285

Test Set:
Average Loss: 1.3868428802490234
Accuracy: 0.257
NC1 Within Class Collapse: 2.6727914810180664
NC2 Equinorm: Features: 0.16388069093227386, Weights: 0.03822394087910652
NC2 Equiangle: Features: 0.1750874718030294, Weights: 0.2709270715713501
NC3 Self-Duality: 2.0770070552825928
NC4 NCC Mismatch: 0.706

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.22041146457195282
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21947191655635834
Linear Weight Rank: 180
Intra Cos: 0.06414596736431122
Inter Cos: 0.005128482822328806
Norm Quadratic Average: 0.12866215407848358
Nearest Class Center Accuracy: 0.8055

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21880461275577545
Linear Weight Rank: 180
Intra Cos: 0.04794421046972275
Inter Cos: 0.01244480349123478
Norm Quadratic Average: 0.0013519078493118286
Nearest Class Center Accuracy: 0.689

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.2184625118970871
Linear Weight Rank: 179
Intra Cos: 0.0566706508398056
Inter Cos: 0.01394670270383358
Norm Quadratic Average: 1.5018844351288863e-05
Nearest Class Center Accuracy: 0.6185

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21909651160240173
Linear Weight Rank: 180
Intra Cos: 0.06897362321615219
Inter Cos: 0.027601532638072968
Norm Quadratic Average: 1.6775608457919589e-07
Nearest Class Center Accuracy: 0.589

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.03177616000175476
Linear Weight Rank: 4
Intra Cos: 0.48489153385162354
Inter Cos: 0.5074321031570435
Norm Quadratic Average: 2.384265229693483e-09
Nearest Class Center Accuracy: 0.491

Output Layer:
Intra Cos: 0.9999998807907104
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 2.7375181232969226e-08
Nearest Class Center Accuracy: 0.2545

