Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_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: 7.854012966156006
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
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: 7.811405181884766
Linear Weight Rank: 179
Intra Cos: 0.07513290643692017
Inter Cos: 0.005670285318046808
Norm Quadratic Average: 13.491866111755371
Nearest Class Center Accuracy: 0.87875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.783168315887451
Linear Weight Rank: 179
Intra Cos: 0.11404317617416382
Inter Cos: 0.005345587618649006
Norm Quadratic Average: 13.47453784942627
Nearest Class Center Accuracy: 0.92175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82079553604126
Linear Weight Rank: 180
Intra Cos: 0.15641824901103973
Inter Cos: -0.0021675140596926212
Norm Quadratic Average: 13.46194076538086
Nearest Class Center Accuracy: 0.961125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.777591705322266
Linear Weight Rank: 180
Intra Cos: 0.2196643352508545
Inter Cos: -0.0038747144863009453
Norm Quadratic Average: 13.43067741394043
Nearest Class Center Accuracy: 0.997625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3842363357543945
Linear Weight Rank: 4
Intra Cos: 0.3713907301425934
Inter Cos: -0.0484173484146595
Norm Quadratic Average: 13.49400520324707
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.916332483291626
Inter Cos: -0.06474469602108002
Norm Quadratic Average: 11.681509971618652
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24979464721679687
Accuracy: 0.904
NC1 Within Class Collapse: 1.283295750617981
NC2 Equinorm: Features: 0.00805486086755991, Weights: 0.0174640491604805
NC2 Equiangle: Features: 0.30424070358276367, Weights: 0.1376472512880961
NC3 Self-Duality: 0.21304205060005188
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.854012966156006
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.0033128932118415833
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: 7.811405181884766
Linear Weight Rank: 179
Intra Cos: 0.07347128540277481
Inter Cos: 0.006007359363138676
Norm Quadratic Average: 13.477004051208496
Nearest Class Center Accuracy: 0.884

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.783168315887451
Linear Weight Rank: 179
Intra Cos: 0.10959668457508087
Inter Cos: 0.005048954393714666
Norm Quadratic Average: 13.48247241973877
Nearest Class Center Accuracy: 0.907

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82079553604126
Linear Weight Rank: 180
Intra Cos: 0.14160017669200897
Inter Cos: 0.006167491432279348
Norm Quadratic Average: 13.488871574401855
Nearest Class Center Accuracy: 0.911

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.777591705322266
Linear Weight Rank: 180
Intra Cos: 0.18804149329662323
Inter Cos: -0.0016103943344205618
Norm Quadratic Average: 13.392777442932129
Nearest Class Center Accuracy: 0.9265

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3842363357543945
Linear Weight Rank: 4
Intra Cos: 0.29232174158096313
Inter Cos: -0.018237221986055374
Norm Quadratic Average: 13.280343055725098
Nearest Class Center Accuracy: 0.9145

Output Layer:
Intra Cos: 0.7329496145248413
Inter Cos: -0.005467742681503296
Norm Quadratic Average: 11.282207489013672
Nearest Class Center Accuracy: 0.913

