Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.182214736938477
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.159805297851562
Linear Weight Rank: 180
Intra Cos: 0.029047491028904915
Inter Cos: -0.004819903988391161
Norm Quadratic Average: 13.961163520812988
Nearest Class Center Accuracy: 0.591125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.101032257080078
Linear Weight Rank: 179
Intra Cos: 0.029358355328440666
Inter Cos: -0.005783929023891687
Norm Quadratic Average: 13.923288345336914
Nearest Class Center Accuracy: 0.63

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.09259033203125
Linear Weight Rank: 180
Intra Cos: 0.035383306443691254
Inter Cos: -0.010150661692023277
Norm Quadratic Average: 13.890472412109375
Nearest Class Center Accuracy: 0.730375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04487133026123
Linear Weight Rank: 179
Intra Cos: 0.06530304998159409
Inter Cos: -0.01888001151382923
Norm Quadratic Average: 13.848745346069336
Nearest Class Center Accuracy: 0.928

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8350532054901123
Linear Weight Rank: 4
Intra Cos: 0.1986221969127655
Inter Cos: -0.0547206737101078
Norm Quadratic Average: 14.105162620544434
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8480495810508728
Inter Cos: -0.17359893023967743
Norm Quadratic Average: 11.280780792236328
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1233976821899414
Accuracy: 0.7165
NC1 Within Class Collapse: 3.9120614528656006
NC2 Equinorm: Features: 0.07131649553775787, Weights: 0.04433850944042206
NC2 Equiangle: Features: 0.07723650336265564, Weights: 0.04764732221762339
NC3 Self-Duality: 0.18631784617900848
NC4 NCC Mismatch: 0.05600000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.182214736938477
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.159805297851562
Linear Weight Rank: 180
Intra Cos: 0.026469722390174866
Inter Cos: -0.004606610629707575
Norm Quadratic Average: 13.975018501281738
Nearest Class Center Accuracy: 0.5935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.101032257080078
Linear Weight Rank: 179
Intra Cos: 0.025599950924515724
Inter Cos: -0.0055390396155416965
Norm Quadratic Average: 13.925933837890625
Nearest Class Center Accuracy: 0.623

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.09259033203125
Linear Weight Rank: 180
Intra Cos: 0.02647424302995205
Inter Cos: -0.006475934758782387
Norm Quadratic Average: 13.871695518493652
Nearest Class Center Accuracy: 0.6575

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04487133026123
Linear Weight Rank: 179
Intra Cos: 0.037880320101976395
Inter Cos: -0.007980362512171268
Norm Quadratic Average: 13.780632972717285
Nearest Class Center Accuracy: 0.7

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8350532054901123
Linear Weight Rank: 4
Intra Cos: 0.08965618163347244
Inter Cos: -0.01758897490799427
Norm Quadratic Average: 13.766218185424805
Nearest Class Center Accuracy: 0.7305

Output Layer:
Intra Cos: 0.38631007075309753
Inter Cos: -0.08009959757328033
Norm Quadratic Average: 10.374750137329102
Nearest Class Center Accuracy: 0.721

