Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.375792026519775
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
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: 7.446971416473389
Linear Weight Rank: 179
Intra Cos: 0.12921227514743805
Inter Cos: 0.011109624989330769
Norm Quadratic Average: 4.549651622772217
Nearest Class Center Accuracy: 0.940125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.4666900634765625
Linear Weight Rank: 179
Intra Cos: 0.4967581629753113
Inter Cos: 0.02768462896347046
Norm Quadratic Average: 3.4919822216033936
Nearest Class Center Accuracy: 0.95875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.428543567657471
Linear Weight Rank: 179
Intra Cos: 0.6575678586959839
Inter Cos: 0.059928763657808304
Norm Quadratic Average: 4.882357120513916
Nearest Class Center Accuracy: 0.9535

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.451395034790039
Linear Weight Rank: 179
Intra Cos: 0.6710802912712097
Inter Cos: 0.0865432396531105
Norm Quadratic Average: 7.265271186828613
Nearest Class Center Accuracy: 0.94625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.834902763366699
Linear Weight Rank: 4
Intra Cos: 0.6810687780380249
Inter Cos: 0.08712057769298553
Norm Quadratic Average: 10.519353866577148
Nearest Class Center Accuracy: 0.948

Output Layer:
Intra Cos: 0.7626957893371582
Inter Cos: 0.07843676209449768
Norm Quadratic Average: 18.71269416809082
Nearest Class Center Accuracy: 0.95325

Test Set:
Average Loss: 0.06696359586715699
Accuracy: 0.975
NC1 Within Class Collapse: 1.3385615348815918
NC2 Equinorm: Features: 0.06716141849756241, Weights: 0.05071529373526573
NC2 Equiangle: Features: 0.42985987663269043, Weights: 0.3668692906697591
NC3 Self-Duality: 0.12379399687051773
NC4 NCC Mismatch: 0.06000000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.375792026519775
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.446971416473389
Linear Weight Rank: 179
Intra Cos: 0.1267293393611908
Inter Cos: 0.01147991232573986
Norm Quadratic Average: 4.552663803100586
Nearest Class Center Accuracy: 0.9315

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.4666900634765625
Linear Weight Rank: 179
Intra Cos: 0.48825451731681824
Inter Cos: 0.040722426027059555
Norm Quadratic Average: 3.529658079147339
Nearest Class Center Accuracy: 0.9485

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.428543567657471
Linear Weight Rank: 179
Intra Cos: 0.6570485830307007
Inter Cos: 0.08733103424310684
Norm Quadratic Average: 4.9396443367004395
Nearest Class Center Accuracy: 0.9415

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.451395034790039
Linear Weight Rank: 179
Intra Cos: 0.6762160658836365
Inter Cos: 0.11392583698034286
Norm Quadratic Average: 7.347816467285156
Nearest Class Center Accuracy: 0.935

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.834902763366699
Linear Weight Rank: 4
Intra Cos: 0.6675878763198853
Inter Cos: 0.11148077249526978
Norm Quadratic Average: 10.633915901184082
Nearest Class Center Accuracy: 0.937

Output Layer:
Intra Cos: 0.748417854309082
Inter Cos: 0.10597459226846695
Norm Quadratic Average: 18.851369857788086
Nearest Class Center Accuracy: 0.946

