Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.311166763305664
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.245137214660645
Linear Weight Rank: 179
Intra Cos: 0.02766093984246254
Inter Cos: -0.005074773449450731
Norm Quadratic Average: 5.003207206726074
Nearest Class Center Accuracy: 0.5915

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.238642692565918
Linear Weight Rank: 179
Intra Cos: 0.07120868563652039
Inter Cos: -0.017460288479924202
Norm Quadratic Average: 2.4701695442199707
Nearest Class Center Accuracy: 0.672

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.293381690979004
Linear Weight Rank: 179
Intra Cos: 0.16904641687870026
Inter Cos: -0.031169814988970757
Norm Quadratic Average: 1.8417633771896362
Nearest Class Center Accuracy: 0.71475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.269845008850098
Linear Weight Rank: 179
Intra Cos: 0.25165069103240967
Inter Cos: -0.039043035358190536
Norm Quadratic Average: 2.0605967044830322
Nearest Class Center Accuracy: 0.731

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.582047700881958
Linear Weight Rank: 4
Intra Cos: 0.284133642911911
Inter Cos: -0.03691192343831062
Norm Quadratic Average: 2.673798084259033
Nearest Class Center Accuracy: 0.727875

Output Layer:
Intra Cos: 0.300291508436203
Inter Cos: -0.01820247247815132
Norm Quadratic Average: 3.6842548847198486
Nearest Class Center Accuracy: 0.70775

Test Set:
Average Loss: 0.7019291477203369
Accuracy: 0.7045
NC1 Within Class Collapse: 5.953096389770508
NC2 Equinorm: Features: 0.16474807262420654, Weights: 0.07380075007677078
NC2 Equiangle: Features: 0.2458216150601705, Weights: 0.10306682189305623
NC3 Self-Duality: 0.17180036008358002
NC4 NCC Mismatch: 0.09850000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.311166763305664
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 8.245137214660645
Linear Weight Rank: 179
Intra Cos: 0.02581704407930374
Inter Cos: -0.003992870915681124
Norm Quadratic Average: 4.992340087890625
Nearest Class Center Accuracy: 0.601

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.238642692565918
Linear Weight Rank: 179
Intra Cos: 0.06416525691747665
Inter Cos: -0.014360295608639717
Norm Quadratic Average: 2.4554035663604736
Nearest Class Center Accuracy: 0.646

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.293381690979004
Linear Weight Rank: 179
Intra Cos: 0.14607110619544983
Inter Cos: -0.02863408252596855
Norm Quadratic Average: 1.8255271911621094
Nearest Class Center Accuracy: 0.676

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.269845008850098
Linear Weight Rank: 179
Intra Cos: 0.21610386669635773
Inter Cos: -0.03056853637099266
Norm Quadratic Average: 2.0405449867248535
Nearest Class Center Accuracy: 0.692

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.582047700881958
Linear Weight Rank: 4
Intra Cos: 0.24757730960845947
Inter Cos: -0.014664292335510254
Norm Quadratic Average: 2.6478848457336426
Nearest Class Center Accuracy: 0.6945

Output Layer:
Intra Cos: 0.26609939336776733
Inter Cos: 0.008760156109929085
Norm Quadratic Average: 3.6509971618652344
Nearest Class Center Accuracy: 0.6765

