Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.177664756774902
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: 8.082354545593262
Linear Weight Rank: 179
Intra Cos: 0.03169061616063118
Inter Cos: -0.0038727421779185534
Norm Quadratic Average: 4.8360676765441895
Nearest Class Center Accuracy: 0.601625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.068504333496094
Linear Weight Rank: 179
Intra Cos: 0.07380333542823792
Inter Cos: -0.010703609324991703
Norm Quadratic Average: 2.4481451511383057
Nearest Class Center Accuracy: 0.672

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.096314430236816
Linear Weight Rank: 180
Intra Cos: 0.17947375774383545
Inter Cos: -0.028459765017032623
Norm Quadratic Average: 1.8802692890167236
Nearest Class Center Accuracy: 0.7065

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.082639694213867
Linear Weight Rank: 179
Intra Cos: 0.25127682089805603
Inter Cos: -0.05883636698126793
Norm Quadratic Average: 2.1075997352600098
Nearest Class Center Accuracy: 0.720375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.5473697185516357
Linear Weight Rank: 4
Intra Cos: 0.2881160080432892
Inter Cos: -0.049458567053079605
Norm Quadratic Average: 2.6531243324279785
Nearest Class Center Accuracy: 0.729625

Output Layer:
Intra Cos: 0.3273879587650299
Inter Cos: -0.015191032551229
Norm Quadratic Average: 3.537543535232544
Nearest Class Center Accuracy: 0.725

Test Set:
Average Loss: 0.7055781803131104
Accuracy: 0.7055
NC1 Within Class Collapse: 5.674778938293457
NC2 Equinorm: Features: 0.15381336212158203, Weights: 0.03014773689210415
NC2 Equiangle: Features: 0.19913349548975626, Weights: 0.07654030621051788
NC3 Self-Duality: 0.17486201226711273
NC4 NCC Mismatch: 0.08950000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.177664756774902
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: 8.082354545593262
Linear Weight Rank: 179
Intra Cos: 0.02831348404288292
Inter Cos: -0.003527567721903324
Norm Quadratic Average: 4.839044570922852
Nearest Class Center Accuracy: 0.604

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.068504333496094
Linear Weight Rank: 179
Intra Cos: 0.06649575382471085
Inter Cos: -0.004712371155619621
Norm Quadratic Average: 2.4483730792999268
Nearest Class Center Accuracy: 0.653

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.096314430236816
Linear Weight Rank: 180
Intra Cos: 0.16639164090156555
Inter Cos: -0.008719908073544502
Norm Quadratic Average: 1.8787132501602173
Nearest Class Center Accuracy: 0.6835

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.082639694213867
Linear Weight Rank: 179
Intra Cos: 0.23325969278812408
Inter Cos: -0.027757389470934868
Norm Quadratic Average: 2.1019656658172607
Nearest Class Center Accuracy: 0.6935

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.5473697185516357
Linear Weight Rank: 4
Intra Cos: 0.26595401763916016
Inter Cos: -0.0438491590321064
Norm Quadratic Average: 2.6418449878692627
Nearest Class Center Accuracy: 0.694

Output Layer:
Intra Cos: 0.29850059747695923
Inter Cos: -0.017155902460217476
Norm Quadratic Average: 3.5200607776641846
Nearest Class Center Accuracy: 0.6905

