Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp6_model_depth_MLP_15_weight_decay_0.001.pth.tar
Training Set:
Average Loss: 0.0012215908654034137
Accuracy: 1.0
NC1 Within Class Collapse: 0.04575808718800545
NC2 Equinorm: Features: 0.024126514792442322, Weights: 0.015602129511535168
NC2 Equiangle: Features: 0.014506563544273376, Weights: 0.01858016351858775
NC3 Self-Duality: 0.015146441757678986
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.935318946838379
Linear Weight Rank: 16
Intra Cos: 0.015340002253651619
Inter Cos: 0.0036838138476014137
Norm Quadratic Average: 3.9849934577941895
Nearest Class Center Accuracy: 0.441

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.086493492126465
Linear Weight Rank: 172
Intra Cos: 0.013129421509802341
Inter Cos: 0.0020577358081936836
Norm Quadratic Average: 4.129410743713379
Nearest Class Center Accuracy: 0.4955

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.967757225036621
Linear Weight Rank: 175
Intra Cos: 0.015654977411031723
Inter Cos: 0.0020007439889013767
Norm Quadratic Average: 4.004508972167969
Nearest Class Center Accuracy: 0.5905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.304947853088379
Linear Weight Rank: 174
Intra Cos: 0.03379090502858162
Inter Cos: -0.005408013705164194
Norm Quadratic Average: 3.321714401245117
Nearest Class Center Accuracy: 0.81625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.177554607391357
Linear Weight Rank: 169
Intra Cos: 0.13062509894371033
Inter Cos: -0.0324116051197052
Norm Quadratic Average: 2.358933448791504
Nearest Class Center Accuracy: 0.98925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0513851642608643
Linear Weight Rank: 169
Intra Cos: 0.5194491744041443
Inter Cos: -0.15184436738491058
Norm Quadratic Average: 1.3808003664016724
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3178441524505615
Linear Weight Rank: 172
Intra Cos: 0.9246329665184021
Inter Cos: -0.17564907670021057
Norm Quadratic Average: 0.624909520149231
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2643587589263916
Linear Weight Rank: 172
Intra Cos: 0.9816830158233643
Inter Cos: -0.17889897525310516
Norm Quadratic Average: 0.4704318940639496
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2893545627593994
Linear Weight Rank: 171
Intra Cos: 0.9833353757858276
Inter Cos: -0.163580060005188
Norm Quadratic Average: 0.46619099378585815
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3511258363723755
Linear Weight Rank: 171
Intra Cos: 0.9814819097518921
Inter Cos: -0.15442825853824615
Norm Quadratic Average: 0.509078323841095
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4249348640441895
Linear Weight Rank: 171
Intra Cos: 0.9834780097007751
Inter Cos: -0.19057966768741608
Norm Quadratic Average: 0.5786906480789185
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5848232507705688
Linear Weight Rank: 169
Intra Cos: 0.9831103086471558
Inter Cos: -0.17950290441513062
Norm Quadratic Average: 0.7356767654418945
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.778512954711914
Linear Weight Rank: 168
Intra Cos: 0.981670618057251
Inter Cos: -0.20845070481300354
Norm Quadratic Average: 0.9349802136421204
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9448755979537964
Linear Weight Rank: 167
Intra Cos: 0.981940507888794
Inter Cos: -0.24507218599319458
Norm Quadratic Average: 1.0115188360214233
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5521745681762695
Linear Weight Rank: 3
Intra Cos: 0.9845684170722961
Inter Cos: -0.2792189121246338
Norm Quadratic Average: 3.5019383430480957
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9918869733810425
Inter Cos: -0.26104435324668884
Norm Quadratic Average: 7.1137614250183105
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.001208631455898285
Accuracy: 1.0
NC1 Within Class Collapse: 0.04760631173849106
NC2 Equinorm: Features: 0.020572440698742867, Weights: 0.015602129511535168
NC2 Equiangle: Features: 0.011771634221076965, Weights: 0.01858016351858775
NC3 Self-Duality: 0.01489292737096548
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.935318946838379
Linear Weight Rank: 16
Intra Cos: 0.012989891692996025
Inter Cos: 0.007593180984258652
Norm Quadratic Average: 3.9882302284240723
Nearest Class Center Accuracy: 0.476

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.086493492126465
Linear Weight Rank: 172
Intra Cos: 0.011783314868807793
Inter Cos: 0.006031671538949013
Norm Quadratic Average: 4.164472579956055
Nearest Class Center Accuracy: 0.528

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.967757225036621
Linear Weight Rank: 175
Intra Cos: 0.014314044266939163
Inter Cos: 0.0019794541876763105
Norm Quadratic Average: 4.02506160736084
Nearest Class Center Accuracy: 0.605

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.304947853088379
Linear Weight Rank: 174
Intra Cos: 0.030775392428040504
Inter Cos: -0.003458585822954774
Norm Quadratic Average: 3.330026388168335
Nearest Class Center Accuracy: 0.829

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.177554607391357
Linear Weight Rank: 169
Intra Cos: 0.1240268126130104
Inter Cos: -0.031129587441682816
Norm Quadratic Average: 2.3770618438720703
Nearest Class Center Accuracy: 0.991

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0513851642608643
Linear Weight Rank: 169
Intra Cos: 0.5362518429756165
Inter Cos: -0.1574106216430664
Norm Quadratic Average: 1.4037072658538818
Nearest Class Center Accuracy: 0.999

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3178441524505615
Linear Weight Rank: 172
Intra Cos: 0.9113956689834595
Inter Cos: -0.1914060115814209
Norm Quadratic Average: 0.6287050843238831
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2643587589263916
Linear Weight Rank: 172
Intra Cos: 0.9814635515213013
Inter Cos: -0.19522680342197418
Norm Quadratic Average: 0.4720442593097687
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2893545627593994
Linear Weight Rank: 171
Intra Cos: 0.9837979078292847
Inter Cos: -0.175801083445549
Norm Quadratic Average: 0.46789461374282837
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3511258363723755
Linear Weight Rank: 171
Intra Cos: 0.9816668033599854
Inter Cos: -0.17421825230121613
Norm Quadratic Average: 0.5110121965408325
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4249348640441895
Linear Weight Rank: 171
Intra Cos: 0.9839534163475037
Inter Cos: -0.17629435658454895
Norm Quadratic Average: 0.5808429718017578
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5848232507705688
Linear Weight Rank: 169
Intra Cos: 0.9832502007484436
Inter Cos: -0.18806074559688568
Norm Quadratic Average: 0.7382144331932068
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.778512954711914
Linear Weight Rank: 168
Intra Cos: 0.9811180233955383
Inter Cos: -0.21468934416770935
Norm Quadratic Average: 0.9368754625320435
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9448755979537964
Linear Weight Rank: 167
Intra Cos: 0.980580747127533
Inter Cos: -0.22176086902618408
Norm Quadratic Average: 1.012988567352295
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5521745681762695
Linear Weight Rank: 3
Intra Cos: 0.9855417609214783
Inter Cos: -0.2688533067703247
Norm Quadratic Average: 3.510786533355713
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9912170767784119
Inter Cos: -0.2507092356681824
Norm Quadratic Average: 7.133391857147217
Nearest Class Center Accuracy: 1.0

