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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.471857070922852
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: 8.539830207824707
Linear Weight Rank: 179
Intra Cos: 0.11852041631937027
Inter Cos: 0.01089154276996851
Norm Quadratic Average: 5.196727752685547
Nearest Class Center Accuracy: 0.932625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.560370445251465
Linear Weight Rank: 179
Intra Cos: 0.45397838950157166
Inter Cos: 0.026255663484334946
Norm Quadratic Average: 4.099865913391113
Nearest Class Center Accuracy: 0.962

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.512392044067383
Linear Weight Rank: 179
Intra Cos: 0.6443514823913574
Inter Cos: 0.052165437489748
Norm Quadratic Average: 5.854473114013672
Nearest Class Center Accuracy: 0.9585

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.53396987915039
Linear Weight Rank: 179
Intra Cos: 0.6678266525268555
Inter Cos: 0.08064425736665726
Norm Quadratic Average: 9.0526123046875
Nearest Class Center Accuracy: 0.950125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9549400806427
Linear Weight Rank: 4
Intra Cos: 0.6809924244880676
Inter Cos: 0.07772445678710938
Norm Quadratic Average: 13.556949615478516
Nearest Class Center Accuracy: 0.95

Output Layer:
Intra Cos: 0.7666489481925964
Inter Cos: 0.07148414105176926
Norm Quadratic Average: 24.77499771118164
Nearest Class Center Accuracy: 0.95575

Test Set:
Average Loss: 0.06397521233558655
Accuracy: 0.9715
NC1 Within Class Collapse: 1.3316829204559326
NC2 Equinorm: Features: 0.06407380849123001, Weights: 0.0451950766146183
NC2 Equiangle: Features: 0.4288191000620524, Weights: 0.3535741964975993
NC3 Self-Duality: 0.1430378258228302
NC4 NCC Mismatch: 0.05400000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.471857070922852
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: 8.539830207824707
Linear Weight Rank: 179
Intra Cos: 0.11631184816360474
Inter Cos: 0.011419663205742836
Norm Quadratic Average: 5.198853969573975
Nearest Class Center Accuracy: 0.922

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.560370445251465
Linear Weight Rank: 179
Intra Cos: 0.4467102289199829
Inter Cos: 0.034383028745651245
Norm Quadratic Average: 4.141797065734863
Nearest Class Center Accuracy: 0.951

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.512392044067383
Linear Weight Rank: 179
Intra Cos: 0.6439166069030762
Inter Cos: 0.08051833510398865
Norm Quadratic Average: 5.923497676849365
Nearest Class Center Accuracy: 0.946

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.53396987915039
Linear Weight Rank: 179
Intra Cos: 0.6721325516700745
Inter Cos: 0.1088905781507492
Norm Quadratic Average: 9.156886100769043
Nearest Class Center Accuracy: 0.94

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9549400806427
Linear Weight Rank: 4
Intra Cos: 0.667431652545929
Inter Cos: 0.10297564417123795
Norm Quadratic Average: 13.705351829528809
Nearest Class Center Accuracy: 0.9415

Output Layer:
Intra Cos: 0.7515459656715393
Inter Cos: 0.09991322457790375
Norm Quadratic Average: 24.965612411499023
Nearest Class Center Accuracy: 0.948

