Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.069878578186035
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 7.965948104858398
Linear Weight Rank: 179
Intra Cos: 0.05922688916325569
Inter Cos: 0.00523536279797554
Norm Quadratic Average: 4.732643127441406
Nearest Class Center Accuracy: 0.807375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.947595119476318
Linear Weight Rank: 179
Intra Cos: 0.060656867921352386
Inter Cos: 0.005701214540749788
Norm Quadratic Average: 1.7513936758041382
Nearest Class Center Accuracy: 0.726875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.972204685211182
Linear Weight Rank: 180
Intra Cos: 0.060698579996824265
Inter Cos: 0.008109395392239094
Norm Quadratic Average: 0.653214156627655
Nearest Class Center Accuracy: 0.67475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9446187019348145
Linear Weight Rank: 180
Intra Cos: 0.0640220195055008
Inter Cos: 0.010881159454584122
Norm Quadratic Average: 0.24889135360717773
Nearest Class Center Accuracy: 0.681

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965834140777588
Linear Weight Rank: 180
Intra Cos: 0.06325685232877731
Inter Cos: 0.008786551654338837
Norm Quadratic Average: 0.10076087713241577
Nearest Class Center Accuracy: 0.638875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945761203765869
Linear Weight Rank: 180
Intra Cos: 0.07185430079698563
Inter Cos: 0.023081837221980095
Norm Quadratic Average: 0.04138743504881859
Nearest Class Center Accuracy: 0.619125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945003032684326
Linear Weight Rank: 180
Intra Cos: 0.07912132143974304
Inter Cos: 0.02151927724480629
Norm Quadratic Average: 0.015905218198895454
Nearest Class Center Accuracy: 0.6055

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1396458148956299
Linear Weight Rank: 4
Intra Cos: 0.08872327208518982
Inter Cos: 0.01915750280022621
Norm Quadratic Average: 0.006889618933200836
Nearest Class Center Accuracy: 0.606875

Output Layer:
Intra Cos: 0.13963377475738525
Inter Cos: 0.053575869649648666
Norm Quadratic Average: 0.0011243331246078014
Nearest Class Center Accuracy: 0.574125

Test Set:
Average Loss: 1.3870723266601563
Accuracy: 0.257
NC1 Within Class Collapse: 41.19086837768555
NC2 Equinorm: Features: 0.3610028922557831, Weights: 0.05533000826835632
NC2 Equiangle: Features: 0.4350953896840413, Weights: 0.31697293122609455
NC3 Self-Duality: 1.5146275758743286
NC4 NCC Mismatch: 0.712

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.069878578186035
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 7.965948104858398
Linear Weight Rank: 179
Intra Cos: 0.0608668327331543
Inter Cos: 0.0026381800416857004
Norm Quadratic Average: 4.72358512878418
Nearest Class Center Accuracy: 0.811

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.947595119476318
Linear Weight Rank: 179
Intra Cos: 0.0599052757024765
Inter Cos: 0.00505839241668582
Norm Quadratic Average: 1.7470324039459229
Nearest Class Center Accuracy: 0.7415

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.972204685211182
Linear Weight Rank: 180
Intra Cos: 0.062085799872875214
Inter Cos: 0.010676548816263676
Norm Quadratic Average: 0.6523146629333496
Nearest Class Center Accuracy: 0.701

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9446187019348145
Linear Weight Rank: 180
Intra Cos: 0.06562385708093643
Inter Cos: 0.007452688179910183
Norm Quadratic Average: 0.24827656149864197
Nearest Class Center Accuracy: 0.707

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965834140777588
Linear Weight Rank: 180
Intra Cos: 0.06331730633974075
Inter Cos: 0.017266903072595596
Norm Quadratic Average: 0.1005224734544754
Nearest Class Center Accuracy: 0.662

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945761203765869
Linear Weight Rank: 180
Intra Cos: 0.07241597026586533
Inter Cos: 0.03372132033109665
Norm Quadratic Average: 0.041512493044137955
Nearest Class Center Accuracy: 0.6325

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945003032684326
Linear Weight Rank: 180
Intra Cos: 0.08046519756317139
Inter Cos: 0.03428778797388077
Norm Quadratic Average: 0.01593632809817791
Nearest Class Center Accuracy: 0.6145

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1396458148956299
Linear Weight Rank: 4
Intra Cos: 0.08953480422496796
Inter Cos: 0.0327749103307724
Norm Quadratic Average: 0.006912412121891975
Nearest Class Center Accuracy: 0.6135

Output Layer:
Intra Cos: 0.15692570805549622
Inter Cos: 0.07826097309589386
Norm Quadratic Average: 0.001131556578911841
Nearest Class Center Accuracy: 0.587

