Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_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: 7.865636348724365
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763667106628418
Linear Weight Rank: 179
Intra Cos: 0.0591852068901062
Inter Cos: 0.005234168842434883
Norm Quadratic Average: 4.612789630889893
Nearest Class Center Accuracy: 0.807375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7457594871521
Linear Weight Rank: 179
Intra Cos: 0.05983402580022812
Inter Cos: 0.00560436537489295
Norm Quadratic Average: 1.6627081632614136
Nearest Class Center Accuracy: 0.726875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769693851470947
Linear Weight Rank: 180
Intra Cos: 0.0600888729095459
Inter Cos: 0.007966947741806507
Norm Quadratic Average: 0.6032404899597168
Nearest Class Center Accuracy: 0.672875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.742746829986572
Linear Weight Rank: 180
Intra Cos: 0.06303470581769943
Inter Cos: 0.010686773806810379
Norm Quadratic Average: 0.22367408871650696
Nearest Class Center Accuracy: 0.678

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763396263122559
Linear Weight Rank: 180
Intra Cos: 0.061570748686790466
Inter Cos: 0.008526325225830078
Norm Quadratic Average: 0.08807257562875748
Nearest Class Center Accuracy: 0.635875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.743802070617676
Linear Weight Rank: 180
Intra Cos: 0.06859254091978073
Inter Cos: 0.022869307547807693
Norm Quadratic Average: 0.03502243012189865
Nearest Class Center Accuracy: 0.613875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7430877685546875
Linear Weight Rank: 180
Intra Cos: 0.0729236900806427
Inter Cos: 0.02088577300310135
Norm Quadratic Average: 0.013033504597842693
Nearest Class Center Accuracy: 0.5965

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1093186140060425
Linear Weight Rank: 4
Intra Cos: 0.08183926343917847
Inter Cos: 0.01898615062236786
Norm Quadratic Average: 0.005455074366182089
Nearest Class Center Accuracy: 0.6015

Output Layer:
Intra Cos: 0.12717664241790771
Inter Cos: 0.06033529341220856
Norm Quadratic Average: 0.0008004684350453317
Nearest Class Center Accuracy: 0.5595

Test Set:
Average Loss: 1.3872004051208495
Accuracy: 0.257
NC1 Within Class Collapse: 45.09429168701172
NC2 Equinorm: Features: 0.348700612783432, Weights: 0.05537261813879013
NC2 Equiangle: Features: 0.4344923496246338, Weights: 0.31774518887201947
NC3 Self-Duality: 1.5456513166427612
NC4 NCC Mismatch: 0.7130000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.865636348724365
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 7.763667106628418
Linear Weight Rank: 179
Intra Cos: 0.060823969542980194
Inter Cos: 0.002638494595885277
Norm Quadratic Average: 4.603954315185547
Nearest Class Center Accuracy: 0.811

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7457594871521
Linear Weight Rank: 179
Intra Cos: 0.05908089131116867
Inter Cos: 0.005087054800242186
Norm Quadratic Average: 1.6585559844970703
Nearest Class Center Accuracy: 0.7395

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769693851470947
Linear Weight Rank: 180
Intra Cos: 0.06150566786527634
Inter Cos: 0.010510148480534554
Norm Quadratic Average: 0.6023939847946167
Nearest Class Center Accuracy: 0.701

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.742746829986572
Linear Weight Rank: 180
Intra Cos: 0.06449271738529205
Inter Cos: 0.007316874340176582
Norm Quadratic Average: 0.223144993185997
Nearest Class Center Accuracy: 0.7025

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763396263122559
Linear Weight Rank: 180
Intra Cos: 0.061714425683021545
Inter Cos: 0.017401073127985
Norm Quadratic Average: 0.08789840340614319
Nearest Class Center Accuracy: 0.662

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.743802070617676
Linear Weight Rank: 180
Intra Cos: 0.06910126656293869
Inter Cos: 0.03415095806121826
Norm Quadratic Average: 0.035151831805706024
Nearest Class Center Accuracy: 0.63

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7430877685546875
Linear Weight Rank: 180
Intra Cos: 0.07413709908723831
Inter Cos: 0.034111425280570984
Norm Quadratic Average: 0.01306899543851614
Nearest Class Center Accuracy: 0.606

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1093186140060425
Linear Weight Rank: 4
Intra Cos: 0.08226361125707626
Inter Cos: 0.03292858600616455
Norm Quadratic Average: 0.005476064048707485
Nearest Class Center Accuracy: 0.61

Output Layer:
Intra Cos: 0.14533306658267975
Inter Cos: 0.08501807600259781
Norm Quadratic Average: 0.0008068527677096426
Nearest Class Center Accuracy: 0.564

