Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.043371200561523
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.0062224422581493855
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05711555480957
Linear Weight Rank: 179
Intra Cos: 0.023650413379073143
Inter Cos: -0.0025709897745400667
Norm Quadratic Average: 4.781894207000732
Nearest Class Center Accuracy: 0.568375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.076277732849121
Linear Weight Rank: 179
Intra Cos: 0.01727581024169922
Inter Cos: -0.0005449699237942696
Norm Quadratic Average: 1.6697312593460083
Nearest Class Center Accuracy: 0.53725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018390655517578
Linear Weight Rank: 179
Intra Cos: 0.014346924610435963
Inter Cos: 0.00261881947517395
Norm Quadratic Average: 0.6099110841751099
Nearest Class Center Accuracy: 0.49475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027532577514648
Linear Weight Rank: 180
Intra Cos: 0.016713503748178482
Inter Cos: 0.006642953958362341
Norm Quadratic Average: 0.23246616125106812
Nearest Class Center Accuracy: 0.48875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048974990844727
Linear Weight Rank: 179
Intra Cos: 0.015608543530106544
Inter Cos: 0.005246483720839024
Norm Quadratic Average: 0.09308111667633057
Nearest Class Center Accuracy: 0.47425

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028146743774414
Linear Weight Rank: 180
Intra Cos: 0.01694374345242977
Inter Cos: 0.007251689210534096
Norm Quadratic Average: 0.03525444120168686
Nearest Class Center Accuracy: 0.455125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.022587776184082
Linear Weight Rank: 179
Intra Cos: 0.016175244003534317
Inter Cos: 0.010265281423926353
Norm Quadratic Average: 0.01485904585570097
Nearest Class Center Accuracy: 0.438625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1818875074386597
Linear Weight Rank: 4
Intra Cos: 0.01647794432938099
Inter Cos: 0.011697061359882355
Norm Quadratic Average: 0.006213590037077665
Nearest Class Center Accuracy: 0.434125

Output Layer:
Intra Cos: 0.032553043216466904
Inter Cos: 0.02964165434241295
Norm Quadratic Average: 0.000736558751668781
Nearest Class Center Accuracy: 0.412

Test Set:
Average Loss: 1.3866412887573243
Accuracy: 0.255
NC1 Within Class Collapse: 39.87525177001953
NC2 Equinorm: Features: 0.38862353563308716, Weights: 0.02437039650976658
NC2 Equiangle: Features: 0.238942821820577, Weights: 0.3442787329355876
NC3 Self-Duality: 1.5647187232971191
NC4 NCC Mismatch: 0.645

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.043371200561523
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549723584204912
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: 8.05711555480957
Linear Weight Rank: 179
Intra Cos: 0.023380158469080925
Inter Cos: -0.001608222140930593
Norm Quadratic Average: 4.794832706451416
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.076277732849121
Linear Weight Rank: 179
Intra Cos: 0.01655328832566738
Inter Cos: 8.489438914693892e-05
Norm Quadratic Average: 1.6705058813095093
Nearest Class Center Accuracy: 0.5465

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018390655517578
Linear Weight Rank: 179
Intra Cos: 0.01266589667648077
Inter Cos: 0.0036125890910625458
Norm Quadratic Average: 0.6096810102462769
Nearest Class Center Accuracy: 0.512

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027532577514648
Linear Weight Rank: 180
Intra Cos: 0.013218178413808346
Inter Cos: 0.007713478058576584
Norm Quadratic Average: 0.23220467567443848
Nearest Class Center Accuracy: 0.5005

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048974990844727
Linear Weight Rank: 179
Intra Cos: 0.012295245192945004
Inter Cos: 0.006659962702542543
Norm Quadratic Average: 0.09299152344465256
Nearest Class Center Accuracy: 0.492

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028146743774414
Linear Weight Rank: 180
Intra Cos: 0.01338192168623209
Inter Cos: 0.00980366300791502
Norm Quadratic Average: 0.03519601374864578
Nearest Class Center Accuracy: 0.4695

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.022587776184082
Linear Weight Rank: 179
Intra Cos: 0.013121548108756542
Inter Cos: 0.011477547697722912
Norm Quadratic Average: 0.01484441664069891
Nearest Class Center Accuracy: 0.457

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1818875074386597
Linear Weight Rank: 4
Intra Cos: 0.012600296176970005
Inter Cos: 0.012418318539857864
Norm Quadratic Average: 0.006213233340531588
Nearest Class Center Accuracy: 0.461

Output Layer:
Intra Cos: 0.0244707390666008
Inter Cos: 0.028816863894462585
Norm Quadratic Average: 0.0007357281865552068
Nearest Class Center Accuracy: 0.4105

