Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_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: 8.260757446289062
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.236629486083984
Linear Weight Rank: 180
Intra Cos: 0.028971586376428604
Inter Cos: -0.004891808144748211
Norm Quadratic Average: 14.095466613769531
Nearest Class Center Accuracy: 0.59075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.178215026855469
Linear Weight Rank: 179
Intra Cos: 0.029281582683324814
Inter Cos: -0.0056901974603533745
Norm Quadratic Average: 14.058608055114746
Nearest Class Center Accuracy: 0.631375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170146942138672
Linear Weight Rank: 180
Intra Cos: 0.03459367901086807
Inter Cos: -0.010123210027813911
Norm Quadratic Average: 14.026311874389648
Nearest Class Center Accuracy: 0.730375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12222957611084
Linear Weight Rank: 179
Intra Cos: 0.06444229185581207
Inter Cos: -0.018769297748804092
Norm Quadratic Average: 13.986832618713379
Nearest Class Center Accuracy: 0.92975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8498644828796387
Linear Weight Rank: 4
Intra Cos: 0.19727136194705963
Inter Cos: -0.05486790090799332
Norm Quadratic Average: 14.24060344696045
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8486178517341614
Inter Cos: -0.1773994117975235
Norm Quadratic Average: 11.398239135742188
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1146569137573241
Accuracy: 0.7175
NC1 Within Class Collapse: 3.9214112758636475
NC2 Equinorm: Features: 0.07666658610105515, Weights: 0.04443521797657013
NC2 Equiangle: Features: 0.08305870493253072, Weights: 0.04805269340674082
NC3 Self-Duality: 0.19104598462581635
NC4 NCC Mismatch: 0.056499999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.260757446289062
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.236629486083984
Linear Weight Rank: 180
Intra Cos: 0.026395173743367195
Inter Cos: -0.0046847183257341385
Norm Quadratic Average: 14.109411239624023
Nearest Class Center Accuracy: 0.594

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.178215026855469
Linear Weight Rank: 179
Intra Cos: 0.025594748556613922
Inter Cos: -0.00558742880821228
Norm Quadratic Average: 14.060025215148926
Nearest Class Center Accuracy: 0.627

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170146942138672
Linear Weight Rank: 180
Intra Cos: 0.02596340887248516
Inter Cos: -0.0064154621213674545
Norm Quadratic Average: 14.003769874572754
Nearest Class Center Accuracy: 0.666

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12222957611084
Linear Weight Rank: 179
Intra Cos: 0.037110891193151474
Inter Cos: -0.007605135906487703
Norm Quadratic Average: 13.912564277648926
Nearest Class Center Accuracy: 0.6965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8498644828796387
Linear Weight Rank: 4
Intra Cos: 0.08824086934328079
Inter Cos: -0.01732865534722805
Norm Quadratic Average: 13.901636123657227
Nearest Class Center Accuracy: 0.729

Output Layer:
Intra Cos: 0.38899657130241394
Inter Cos: -0.08290323615074158
Norm Quadratic Average: 10.474557876586914
Nearest Class Center Accuracy: 0.717

