Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_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: 7.904770374298096
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.875426292419434
Linear Weight Rank: 180
Intra Cos: 0.0706603080034256
Inter Cos: 0.002508486621081829
Norm Quadratic Average: 13.484058380126953
Nearest Class Center Accuracy: 0.864

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82419490814209
Linear Weight Rank: 179
Intra Cos: 0.10802073776721954
Inter Cos: 0.005572094582021236
Norm Quadratic Average: 13.440913200378418
Nearest Class Center Accuracy: 0.920375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82930326461792
Linear Weight Rank: 180
Intra Cos: 0.12339817732572556
Inter Cos: 0.0004663423169404268
Norm Quadratic Average: 13.422725677490234
Nearest Class Center Accuracy: 0.930125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789677619934082
Linear Weight Rank: 180
Intra Cos: 0.1509731262922287
Inter Cos: 0.0005892364424653351
Norm Quadratic Average: 13.383430480957031
Nearest Class Center Accuracy: 0.971375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802361011505127
Linear Weight Rank: 180
Intra Cos: 0.19304324686527252
Inter Cos: 0.00033265899401158094
Norm Quadratic Average: 13.391026496887207
Nearest Class Center Accuracy: 0.99

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.776832103729248
Linear Weight Rank: 179
Intra Cos: 0.23343034088611603
Inter Cos: -0.020961740985512733
Norm Quadratic Average: 13.360088348388672
Nearest Class Center Accuracy: 0.997875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.773013591766357
Linear Weight Rank: 180
Intra Cos: 0.3282299339771271
Inter Cos: -0.03470339998602867
Norm Quadratic Average: 13.37092399597168
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.029405355453491
Linear Weight Rank: 4
Intra Cos: 0.49103301763534546
Inter Cos: -0.08895322680473328
Norm Quadratic Average: 13.510329246520996
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.960597813129425
Inter Cos: -0.11563259363174438
Norm Quadratic Average: 10.554794311523438
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.38572350978851316
Accuracy: 0.8775
NC1 Within Class Collapse: 1.1871271133422852
NC2 Equinorm: Features: 0.017199434340000153, Weights: 0.05067354440689087
NC2 Equiangle: Features: 0.23162863651911417, Weights: 0.1266201138496399
NC3 Self-Duality: 0.22791770100593567
NC4 NCC Mismatch: 0.02300000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.904770374298096
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 7.875426292419434
Linear Weight Rank: 180
Intra Cos: 0.07177191227674484
Inter Cos: 0.0037224742118269205
Norm Quadratic Average: 13.460718154907227
Nearest Class Center Accuracy: 0.864

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82419490814209
Linear Weight Rank: 179
Intra Cos: 0.10380883514881134
Inter Cos: 0.0020679503213614225
Norm Quadratic Average: 13.435810089111328
Nearest Class Center Accuracy: 0.907

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82930326461792
Linear Weight Rank: 180
Intra Cos: 0.11689672619104385
Inter Cos: 0.00367114064283669
Norm Quadratic Average: 13.427314758300781
Nearest Class Center Accuracy: 0.894

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789677619934082
Linear Weight Rank: 180
Intra Cos: 0.13308946788311005
Inter Cos: -0.0009711151942610741
Norm Quadratic Average: 13.383492469787598
Nearest Class Center Accuracy: 0.895

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802361011505127
Linear Weight Rank: 180
Intra Cos: 0.1591753363609314
Inter Cos: -0.00012275410699658096
Norm Quadratic Average: 13.429573059082031
Nearest Class Center Accuracy: 0.883

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.776832103729248
Linear Weight Rank: 179
Intra Cos: 0.18192923069000244
Inter Cos: -0.005339173134416342
Norm Quadratic Average: 13.352219581604004
Nearest Class Center Accuracy: 0.8795

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.773013591766357
Linear Weight Rank: 180
Intra Cos: 0.2390747368335724
Inter Cos: -0.011415313929319382
Norm Quadratic Average: 13.193306922912598
Nearest Class Center Accuracy: 0.8875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.029405355453491
Linear Weight Rank: 4
Intra Cos: 0.34144967794418335
Inter Cos: -0.028989583253860474
Norm Quadratic Average: 13.015859603881836
Nearest Class Center Accuracy: 0.887

Output Layer:
Intra Cos: 0.7169620394706726
Inter Cos: -0.010779283940792084
Norm Quadratic Average: 9.796669006347656
Nearest Class Center Accuracy: 0.885

