Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.13085412979126
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.304802417755127
Linear Weight Rank: 180
Intra Cos: 0.01258417870849371
Inter Cos: 0.005439776927232742
Norm Quadratic Average: 8.741595268249512
Nearest Class Center Accuracy: 0.462875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.224531650543213
Linear Weight Rank: 179
Intra Cos: 0.010924149304628372
Inter Cos: 0.0035112937912344933
Norm Quadratic Average: 8.718184471130371
Nearest Class Center Accuracy: 0.489375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.163581848144531
Linear Weight Rank: 180
Intra Cos: 0.0136757493019104
Inter Cos: -0.001147231087088585
Norm Quadratic Average: 8.679988861083984
Nearest Class Center Accuracy: 0.572875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.065582275390625
Linear Weight Rank: 179
Intra Cos: 0.03471662849187851
Inter Cos: -0.005623660981655121
Norm Quadratic Average: 8.669586181640625
Nearest Class Center Accuracy: 0.913

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6809282302856445
Linear Weight Rank: 4
Intra Cos: 0.2534022331237793
Inter Cos: -0.05690928176045418
Norm Quadratic Average: 9.123958587646484
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9067610502243042
Inter Cos: -0.20674316585063934
Norm Quadratic Average: 7.472846984863281
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.8421650619506835
Accuracy: 0.5185
NC1 Within Class Collapse: 13.007699966430664
NC2 Equinorm: Features: 0.06481410562992096, Weights: 0.022761017084121704
NC2 Equiangle: Features: 0.24121232827504477, Weights: 0.02426592508951823
NC3 Self-Duality: 0.19300848245620728
NC4 NCC Mismatch: 0.07299999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.13085412979126
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.304802417755127
Linear Weight Rank: 180
Intra Cos: 0.012212224304676056
Inter Cos: 0.004782889969646931
Norm Quadratic Average: 8.7044095993042
Nearest Class Center Accuracy: 0.4655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.224531650543213
Linear Weight Rank: 179
Intra Cos: 0.010361922904849052
Inter Cos: 0.0038081107195466757
Norm Quadratic Average: 8.669809341430664
Nearest Class Center Accuracy: 0.49

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.163581848144531
Linear Weight Rank: 180
Intra Cos: 0.007747839204967022
Inter Cos: 0.0005761640495620668
Norm Quadratic Average: 8.656301498413086
Nearest Class Center Accuracy: 0.5065

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.065582275390625
Linear Weight Rank: 179
Intra Cos: 0.008826241828501225
Inter Cos: 0.0002476325025781989
Norm Quadratic Average: 8.615942001342773
Nearest Class Center Accuracy: 0.5315

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6809282302856445
Linear Weight Rank: 4
Intra Cos: 0.03210645169019699
Inter Cos: 0.0038068995345383883
Norm Quadratic Average: 8.481719017028809
Nearest Class Center Accuracy: 0.531

Output Layer:
Intra Cos: 0.13864701986312866
Inter Cos: 0.019372258335351944
Norm Quadratic Average: 5.910608291625977
Nearest Class Center Accuracy: 0.516

