Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_6_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.755960464477539
Intra Cos: 0.03299568220973015
Inter Cos: -0.00622244318947196
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: 10.410221099853516
Intra Cos: 0.03389320895075798
Inter Cos: -0.007229790091514587
Norm Quadratic Average: 3.548527240753174
Nearest Class Center Accuracy: 0.642625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.464033126831055
Intra Cos: 0.05001887306571007
Inter Cos: -0.010392807424068451
Norm Quadratic Average: 3.178784132003784
Nearest Class Center Accuracy: 0.806625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.02053165435791
Intra Cos: 0.1088133305311203
Inter Cos: -0.029945679008960724
Norm Quadratic Average: 2.54325532913208
Nearest Class Center Accuracy: 0.97625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.5619702339172363
Intra Cos: 0.41162729263305664
Inter Cos: -0.12866142392158508
Norm Quadratic Average: 1.7110202312469482
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.7750818729400635
Intra Cos: 0.9186099171638489
Inter Cos: -0.22931623458862305
Norm Quadratic Average: 3.788064956665039
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9780001640319824
Inter Cos: -0.21416977047920227
Norm Quadratic Average: 7.985585689544678
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.006642967224121
Accuracy: 0.753
NC1 Within Class Collapse: 2.652331829071045
NC2 Equinorm: Features: 0.03657300025224686, Weights: 0.019720183685421944
NC2 Equiangle: Features: 0.03561955193678538, Weights: 0.011689121524492899
NC3 Self-Duality: 0.011402458883821964
NC4 NCC Mismatch: 0.0030000000000000027

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.755960464477539
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
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: 10.410221099853516
Intra Cos: 0.030471868813037872
Inter Cos: -0.004734380636364222
Norm Quadratic Average: 3.5548524856567383
Nearest Class Center Accuracy: 0.6355

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.464033126831055
Intra Cos: 0.03686286881566048
Inter Cos: -0.004391038324683905
Norm Quadratic Average: 3.1889283657073975
Nearest Class Center Accuracy: 0.714

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.02053165435791
Intra Cos: 0.06844062358140945
Inter Cos: -0.005271036643534899
Norm Quadratic Average: 2.5021679401397705
Nearest Class Center Accuracy: 0.751

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.5619702339172363
Intra Cos: 0.19298863410949707
Inter Cos: -0.024592718109488487
Norm Quadratic Average: 1.5852621793746948
Nearest Class Center Accuracy: 0.76

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.7750818729400635
Intra Cos: 0.41322481632232666
Inter Cos: -0.08597949147224426
Norm Quadratic Average: 3.3465938568115234
Nearest Class Center Accuracy: 0.755

Output Layer:
Intra Cos: 0.45193156599998474
Inter Cos: -0.10339849442243576
Norm Quadratic Average: 6.903787612915039
Nearest Class Center Accuracy: 0.7535

