Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.239747047424316
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.133001327514648
Linear Weight Rank: 179
Intra Cos: 0.012041931971907616
Inter Cos: 0.003171973628923297
Norm Quadratic Average: 4.823726654052734
Nearest Class Center Accuracy: 0.45

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114295959472656
Linear Weight Rank: 179
Intra Cos: 0.00966060720384121
Inter Cos: 0.003450156655162573
Norm Quadratic Average: 1.8126217126846313
Nearest Class Center Accuracy: 0.4255

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139389038085938
Linear Weight Rank: 180
Intra Cos: 0.00884941779077053
Inter Cos: 0.005544143263250589
Norm Quadratic Average: 0.683874785900116
Nearest Class Center Accuracy: 0.4175

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11120891571045
Linear Weight Rank: 180
Intra Cos: 0.00855578389018774
Inter Cos: 0.0034872267860919237
Norm Quadratic Average: 0.26232850551605225
Nearest Class Center Accuracy: 0.404125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13290786743164
Linear Weight Rank: 180
Intra Cos: 0.009939595125615597
Inter Cos: 0.003282112069427967
Norm Quadratic Average: 0.1058034673333168
Nearest Class Center Accuracy: 0.399375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112269401550293
Linear Weight Rank: 180
Intra Cos: 0.0104944733902812
Inter Cos: 0.0030547401402145624
Norm Quadratic Average: 0.041829779744148254
Nearest Class Center Accuracy: 0.39575

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111397743225098
Linear Weight Rank: 180
Intra Cos: 0.01057456061244011
Inter Cos: 0.00537799671292305
Norm Quadratic Average: 0.015851113945245743
Nearest Class Center Accuracy: 0.376375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1553901433944702
Linear Weight Rank: 4
Intra Cos: 0.012092833407223225
Inter Cos: 0.007356450892984867
Norm Quadratic Average: 0.006624602247029543
Nearest Class Center Accuracy: 0.374625

Output Layer:
Intra Cos: 0.01902264915406704
Inter Cos: 0.019830254837870598
Norm Quadratic Average: 0.0005571957444772124
Nearest Class Center Accuracy: 0.33775

Test Set:
Average Loss: 1.3836365547180176
Accuracy: 0.2695
NC1 Within Class Collapse: 60.434471130371094
NC2 Equinorm: Features: 0.1046113595366478, Weights: 0.05446616932749748
NC2 Equiangle: Features: 0.3758318026860555, Weights: 0.32140588760375977
NC3 Self-Duality: 1.730297565460205
NC4 NCC Mismatch: 0.7969999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.239747047424316
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.133001327514648
Linear Weight Rank: 179
Intra Cos: 0.0131292212754488
Inter Cos: 0.003605177626013756
Norm Quadratic Average: 4.819036960601807
Nearest Class Center Accuracy: 0.4645

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114295959472656
Linear Weight Rank: 179
Intra Cos: 0.010476143099367619
Inter Cos: 0.003234062809497118
Norm Quadratic Average: 1.810205101966858
Nearest Class Center Accuracy: 0.453

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139389038085938
Linear Weight Rank: 180
Intra Cos: 0.008890961296856403
Inter Cos: 0.0040654391050338745
Norm Quadratic Average: 0.6815950274467468
Nearest Class Center Accuracy: 0.419

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11120891571045
Linear Weight Rank: 180
Intra Cos: 0.008750603534281254
Inter Cos: 0.0037638447247445583
Norm Quadratic Average: 0.2610766589641571
Nearest Class Center Accuracy: 0.408

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13290786743164
Linear Weight Rank: 180
Intra Cos: 0.009381602518260479
Inter Cos: 0.0036141255404800177
Norm Quadratic Average: 0.10520479828119278
Nearest Class Center Accuracy: 0.4025

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112269401550293
Linear Weight Rank: 180
Intra Cos: 0.009136668406426907
Inter Cos: 0.002493427135050297
Norm Quadratic Average: 0.04153351113200188
Nearest Class Center Accuracy: 0.401

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111397743225098
Linear Weight Rank: 180
Intra Cos: 0.008861749432981014
Inter Cos: 0.0033992668613791466
Norm Quadratic Average: 0.015750424936413765
Nearest Class Center Accuracy: 0.3775

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1553901433944702
Linear Weight Rank: 4
Intra Cos: 0.009877806529402733
Inter Cos: 0.0051602814346551895
Norm Quadratic Average: 0.006582833360880613
Nearest Class Center Accuracy: 0.366

Output Layer:
Intra Cos: 0.010394256561994553
Inter Cos: 0.017846085131168365
Norm Quadratic Average: 0.0005519924452528358
Nearest Class Center Accuracy: 0.3235

