Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.2267255783081055
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 6.220147132873535
Linear Weight Rank: 179
Intra Cos: 0.1488773077726364
Inter Cos: 0.010555094107985497
Norm Quadratic Average: 3.826880693435669
Nearest Class Center Accuracy: 0.942

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.216047763824463
Linear Weight Rank: 179
Intra Cos: 0.5707576870918274
Inter Cos: 0.054530445486307144
Norm Quadratic Average: 3.011645793914795
Nearest Class Center Accuracy: 0.956875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.242458343505859
Linear Weight Rank: 179
Intra Cos: 0.6853636503219604
Inter Cos: 0.08459175378084183
Norm Quadratic Average: 4.247082710266113
Nearest Class Center Accuracy: 0.948125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.238931655883789
Linear Weight Rank: 179
Intra Cos: 0.6869527101516724
Inter Cos: 0.09744195640087128
Norm Quadratic Average: 6.174662113189697
Nearest Class Center Accuracy: 0.943125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.7458157539367676
Linear Weight Rank: 4
Intra Cos: 0.6642072200775146
Inter Cos: 0.09516573697328568
Norm Quadratic Average: 8.651335716247559
Nearest Class Center Accuracy: 0.939625

Output Layer:
Intra Cos: 0.7756748199462891
Inter Cos: 0.08190593868494034
Norm Quadratic Average: 15.089780807495117
Nearest Class Center Accuracy: 0.9545

Test Set:
Average Loss: 0.07755863380432129
Accuracy: 0.97
NC1 Within Class Collapse: 1.5351229906082153
NC2 Equinorm: Features: 0.03806724399328232, Weights: 0.02603250741958618
NC2 Equiangle: Features: 0.43456729253133136, Weights: 0.3970212936401367
NC3 Self-Duality: 0.09492740035057068
NC4 NCC Mismatch: 0.06499999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.2267255783081055
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 6.220147132873535
Linear Weight Rank: 179
Intra Cos: 0.15186481177806854
Inter Cos: 0.0044285086914896965
Norm Quadratic Average: 3.8292386531829834
Nearest Class Center Accuracy: 0.9375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.216047763824463
Linear Weight Rank: 179
Intra Cos: 0.5596655607223511
Inter Cos: 0.045632485300302505
Norm Quadratic Average: 3.038662910461426
Nearest Class Center Accuracy: 0.9505

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.242458343505859
Linear Weight Rank: 179
Intra Cos: 0.6709268093109131
Inter Cos: 0.0807291567325592
Norm Quadratic Average: 4.287199974060059
Nearest Class Center Accuracy: 0.9415

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.238931655883789
Linear Weight Rank: 179
Intra Cos: 0.6719810962677002
Inter Cos: 0.08167052268981934
Norm Quadratic Average: 6.229063034057617
Nearest Class Center Accuracy: 0.9375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.7458157539367676
Linear Weight Rank: 4
Intra Cos: 0.6498820781707764
Inter Cos: 0.07958459854125977
Norm Quadratic Average: 8.725059509277344
Nearest Class Center Accuracy: 0.933

Output Layer:
Intra Cos: 0.7645702362060547
Inter Cos: 0.094691202044487
Norm Quadratic Average: 15.189955711364746
Nearest Class Center Accuracy: 0.946

