Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_338327_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.8437264561653137
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 1.0234215259552002
Linear Weight Rank: 177
Intra Cos: 0.1442471295595169
Inter Cos: 0.008605161681771278
Norm Quadratic Average: 1.0962378978729248
Nearest Class Center Accuracy: 0.91325

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8156716823577881
Linear Weight Rank: 178
Intra Cos: 0.1879788637161255
Inter Cos: 0.002040474908426404
Norm Quadratic Average: 0.7142384052276611
Nearest Class Center Accuracy: 0.996875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6957202553749084
Linear Weight Rank: 178
Intra Cos: 0.5954138040542603
Inter Cos: -0.014376305975019932
Norm Quadratic Average: 0.6640017628669739
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7512783408164978
Linear Weight Rank: 178
Intra Cos: 0.9511966109275818
Inter Cos: -0.08483967930078506
Norm Quadratic Average: 0.9171850085258484
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2425591945648193
Linear Weight Rank: 4
Intra Cos: 0.9985864758491516
Inter Cos: -0.28226110339164734
Norm Quadratic Average: 2.4327242374420166
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.999717116355896
Inter Cos: -0.2591230273246765
Norm Quadratic Average: 3.1515042781829834
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.15772276306152344
Accuracy: 0.97
NC1 Within Class Collapse: 0.21591317653656006
NC2 Equinorm: Features: 0.004909098614007235, Weights: 0.01805802434682846
NC2 Equiangle: Features: 0.08491318424542744, Weights: 0.026057153940200806
NC3 Self-Duality: 0.005744611378759146
NC4 NCC Mismatch: 0.0024999999999999467

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.8437264561653137
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 1.0234215259552002
Linear Weight Rank: 177
Intra Cos: 0.14510203897953033
Inter Cos: 0.008302062749862671
Norm Quadratic Average: 1.0979280471801758
Nearest Class Center Accuracy: 0.9185

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8156716823577881
Linear Weight Rank: 178
Intra Cos: 0.18462933599948883
Inter Cos: -0.0006985445506870747
Norm Quadratic Average: 0.711010754108429
Nearest Class Center Accuracy: 0.968

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6957202553749084
Linear Weight Rank: 178
Intra Cos: 0.5464979410171509
Inter Cos: 0.009637719951570034
Norm Quadratic Average: 0.6528860330581665
Nearest Class Center Accuracy: 0.973

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7512783408164978
Linear Weight Rank: 178
Intra Cos: 0.8671739101409912
Inter Cos: -0.046155452728271484
Norm Quadratic Average: 0.8854716420173645
Nearest Class Center Accuracy: 0.9695

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2425591945648193
Linear Weight Rank: 4
Intra Cos: 0.9215723872184753
Inter Cos: -0.22167733311653137
Norm Quadratic Average: 2.333324670791626
Nearest Class Center Accuracy: 0.9705

Output Layer:
Intra Cos: 0.9231444597244263
Inter Cos: -0.20186910033226013
Norm Quadratic Average: 3.0218024253845215
Nearest Class Center Accuracy: 0.97

