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_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9600725173950195
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 7.974348545074463
Linear Weight Rank: 179
Intra Cos: 0.06359157711267471
Inter Cos: 0.007493377197533846
Norm Quadratic Average: 4.742931365966797
Nearest Class Center Accuracy: 0.823

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.993384838104248
Linear Weight Rank: 179
Intra Cos: 0.0481792688369751
Inter Cos: 0.004016764461994171
Norm Quadratic Average: 1.6380431652069092
Nearest Class Center Accuracy: 0.747375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.936016082763672
Linear Weight Rank: 179
Intra Cos: 0.04248703271150589
Inter Cos: 0.0054185655899345875
Norm Quadratic Average: 0.5906184911727905
Nearest Class Center Accuracy: 0.6615

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945462226867676
Linear Weight Rank: 180
Intra Cos: 0.04433869197964668
Inter Cos: 0.012445097789168358
Norm Quadratic Average: 0.22391535341739655
Nearest Class Center Accuracy: 0.61375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966549396514893
Linear Weight Rank: 179
Intra Cos: 0.05171191692352295
Inter Cos: 0.02305636554956436
Norm Quadratic Average: 0.08891132473945618
Nearest Class Center Accuracy: 0.58125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945954322814941
Linear Weight Rank: 180
Intra Cos: 0.05193842202425003
Inter Cos: 0.0293763168156147
Norm Quadratic Average: 0.03246888518333435
Nearest Class Center Accuracy: 0.582125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.940805912017822
Linear Weight Rank: 179
Intra Cos: 0.05837147682905197
Inter Cos: 0.032467298209667206
Norm Quadratic Average: 0.013536677695810795
Nearest Class Center Accuracy: 0.56175

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1738687753677368
Linear Weight Rank: 4
Intra Cos: 0.06342842429876328
Inter Cos: 0.04696830362081528
Norm Quadratic Average: 0.005645379424095154
Nearest Class Center Accuracy: 0.548125

Output Layer:
Intra Cos: 0.1448165625333786
Inter Cos: 0.13291284441947937
Norm Quadratic Average: 0.000755806511733681
Nearest Class Center Accuracy: 0.52675

Test Set:
Average Loss: 1.3872349967956543
Accuracy: 0.257
NC1 Within Class Collapse: 40.60298156738281
NC2 Equinorm: Features: 0.2011740803718567, Weights: 0.021077267825603485
NC2 Equiangle: Features: 0.6014937957127889, Weights: 0.341943621635437
NC3 Self-Duality: 1.5269513130187988
NC4 NCC Mismatch: 0.7375

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9600725173950195
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.974348545074463
Linear Weight Rank: 179
Intra Cos: 0.06332258135080338
Inter Cos: 0.00925116054713726
Norm Quadratic Average: 4.736526012420654
Nearest Class Center Accuracy: 0.824

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.993384838104248
Linear Weight Rank: 179
Intra Cos: 0.04723222926259041
Inter Cos: 0.0054243081249296665
Norm Quadratic Average: 1.638319492340088
Nearest Class Center Accuracy: 0.7545

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.936016082763672
Linear Weight Rank: 179
Intra Cos: 0.04417956992983818
Inter Cos: 0.0031047144439071417
Norm Quadratic Average: 0.5901395678520203
Nearest Class Center Accuracy: 0.6725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945462226867676
Linear Weight Rank: 180
Intra Cos: 0.045320916920900345
Inter Cos: 0.01610124111175537
Norm Quadratic Average: 0.22439470887184143
Nearest Class Center Accuracy: 0.645

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966549396514893
Linear Weight Rank: 179
Intra Cos: 0.05120719224214554
Inter Cos: 0.02614709734916687
Norm Quadratic Average: 0.08908216655254364
Nearest Class Center Accuracy: 0.598

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945954322814941
Linear Weight Rank: 180
Intra Cos: 0.053667936474084854
Inter Cos: 0.0319015234708786
Norm Quadratic Average: 0.032614775002002716
Nearest Class Center Accuracy: 0.6045

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.940805912017822
Linear Weight Rank: 179
Intra Cos: 0.059300873428583145
Inter Cos: 0.03264141455292702
Norm Quadratic Average: 0.013617057353258133
Nearest Class Center Accuracy: 0.587

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1738687753677368
Linear Weight Rank: 4
Intra Cos: 0.0612507238984108
Inter Cos: 0.05084715783596039
Norm Quadratic Average: 0.005683098919689655
Nearest Class Center Accuracy: 0.57

Output Layer:
Intra Cos: 0.13697578012943268
Inter Cos: 0.13903328776359558
Norm Quadratic Average: 0.0007646376034244895
Nearest Class Center Accuracy: 0.5385

