Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_conic_model_depth_MLP_9_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.243618011474609
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584810266271234
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.164795875549316
Intra Cos: 0.18336132168769836
Inter Cos: 0.08638656884431839
Norm Quadratic Average: 2.0578389167785645
Nearest Class Center Accuracy: 0.766625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.223768472671509
Intra Cos: 0.30239346623420715
Inter Cos: -0.016018623486161232
Norm Quadratic Average: 1.5367283821105957
Nearest Class Center Accuracy: 0.98375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3636640310287476
Intra Cos: 0.7688435912132263
Inter Cos: 0.21844299137592316
Norm Quadratic Average: 0.8674914836883545
Nearest Class Center Accuracy: 0.999

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0858508348464966
Intra Cos: 0.9591631293296814
Inter Cos: -0.0038487587589770555
Norm Quadratic Average: 0.5780931711196899
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1297473907470703
Intra Cos: 0.9761077761650085
Inter Cos: -0.044946327805519104
Norm Quadratic Average: 0.5905694961547852
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2800618410110474
Intra Cos: 0.9729728698730469
Inter Cos: -0.09888080507516861
Norm Quadratic Average: 0.7143219113349915
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5783302783966064
Intra Cos: 0.9709282517433167
Inter Cos: -0.13388381898403168
Norm Quadratic Average: 0.9052029848098755
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5858266353607178
Intra Cos: 0.9761423468589783
Inter Cos: -0.2621079683303833
Norm Quadratic Average: 3.3585824966430664
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9875752925872803
Inter Cos: -0.1811160296201706
Norm Quadratic Average: 6.82045841217041
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.0739487782716751
Accuracy: 0.978
NC1 Within Class Collapse: 0.1640557199716568
NC2 Equinorm: Features: 0.008063307031989098, Weights: 0.010416385717689991
NC2 Equiangle: Features: 0.0937345524628957, Weights: 0.06471207241217296
NC3 Self-Duality: 0.04732200875878334
NC4 NCC Mismatch: 0.0010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.243618011474609
Intra Cos: 0.08033028990030289
Inter Cos: 0.0033128990326076746
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: 5.164795875549316
Intra Cos: 0.178663969039917
Inter Cos: 0.08734587579965591
Norm Quadratic Average: 2.063648223876953
Nearest Class Center Accuracy: 0.778

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.223768472671509
Intra Cos: 0.29867252707481384
Inter Cos: -0.014949372038245201
Norm Quadratic Average: 1.525155782699585
Nearest Class Center Accuracy: 0.9635

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3636640310287476
Intra Cos: 0.7082351446151733
Inter Cos: 0.21648018062114716
Norm Quadratic Average: 0.8609998226165771
Nearest Class Center Accuracy: 0.9705

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0858508348464966
Intra Cos: 0.8984230160713196
Inter Cos: 0.009892633184790611
Norm Quadratic Average: 0.5689964890480042
Nearest Class Center Accuracy: 0.9765

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1297473907470703
Intra Cos: 0.911954939365387
Inter Cos: -0.026667049154639244
Norm Quadratic Average: 0.5811774134635925
Nearest Class Center Accuracy: 0.9745

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2800618410110474
Intra Cos: 0.9099199771881104
Inter Cos: -0.07472116500139236
Norm Quadratic Average: 0.7034569978713989
Nearest Class Center Accuracy: 0.9755

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5783302783966064
Intra Cos: 0.9028034210205078
Inter Cos: -0.1091620922088623
Norm Quadratic Average: 0.8903629779815674
Nearest Class Center Accuracy: 0.9745

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5858266353607178
Intra Cos: 0.9092452526092529
Inter Cos: -0.23625852167606354
Norm Quadratic Average: 3.304034948348999
Nearest Class Center Accuracy: 0.979

Output Layer:
Intra Cos: 0.9278286099433899
Inter Cos: -0.16120795905590057
Norm Quadratic Average: 6.705299377441406
Nearest Class Center Accuracy: 0.979

