Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.929202079772949
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: 7.854514122009277
Linear Weight Rank: 179
Intra Cos: 0.013902717269957066
Inter Cos: 0.007430240046232939
Norm Quadratic Average: 4.753300189971924
Nearest Class Center Accuracy: 0.454125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.84845495223999
Linear Weight Rank: 180
Intra Cos: 0.030514830723404884
Inter Cos: 0.027962172403931618
Norm Quadratic Average: 2.089038848876953
Nearest Class Center Accuracy: 0.459

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901619911193848
Linear Weight Rank: 179
Intra Cos: 0.06309791654348373
Inter Cos: 0.07272614538669586
Norm Quadratic Average: 1.2577954530715942
Nearest Class Center Accuracy: 0.454

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.875218868255615
Linear Weight Rank: 180
Intra Cos: 0.08570113033056259
Inter Cos: 0.1272387057542801
Norm Quadratic Average: 1.020914077758789
Nearest Class Center Accuracy: 0.44525

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7697545289993286
Linear Weight Rank: 4
Intra Cos: 0.0911175012588501
Inter Cos: 0.17168807983398438
Norm Quadratic Average: 1.0161117315292358
Nearest Class Center Accuracy: 0.429125

Output Layer:
Intra Cos: 0.08288676291704178
Inter Cos: 0.20013554394245148
Norm Quadratic Average: 1.1012979745864868
Nearest Class Center Accuracy: 0.404625

Test Set:
Average Loss: 1.2348829612731933
Accuracy: 0.438
NC1 Within Class Collapse: 30.345993041992188
NC2 Equinorm: Features: 0.24590234458446503, Weights: 0.09931188076734543
NC2 Equiangle: Features: 0.7739903132120768, Weights: 0.2537824312845866
NC3 Self-Duality: 0.493906706571579
NC4 NCC Mismatch: 0.22950000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.929202079772949
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: 7.854514122009277
Linear Weight Rank: 179
Intra Cos: 0.013169803656637669
Inter Cos: 0.006821939256042242
Norm Quadratic Average: 4.731138706207275
Nearest Class Center Accuracy: 0.46

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.84845495223999
Linear Weight Rank: 180
Intra Cos: 0.0285583958029747
Inter Cos: 0.027730640023946762
Norm Quadratic Average: 2.073033094406128
Nearest Class Center Accuracy: 0.4635

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901619911193848
Linear Weight Rank: 179
Intra Cos: 0.05162477865815163
Inter Cos: 0.07287777215242386
Norm Quadratic Average: 1.2486439943313599
Nearest Class Center Accuracy: 0.4545

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.875218868255615
Linear Weight Rank: 180
Intra Cos: 0.06957961618900299
Inter Cos: 0.12610642611980438
Norm Quadratic Average: 1.0134265422821045
Nearest Class Center Accuracy: 0.444

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7697545289993286
Linear Weight Rank: 4
Intra Cos: 0.07399384677410126
Inter Cos: 0.16692622005939484
Norm Quadratic Average: 1.0111333131790161
Nearest Class Center Accuracy: 0.425

Output Layer:
Intra Cos: 0.06420279294252396
Inter Cos: 0.1898471564054489
Norm Quadratic Average: 1.098889708518982
Nearest Class Center Accuracy: 0.4045

