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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.938370227813721
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: 5.951082706451416
Linear Weight Rank: 180
Intra Cos: 0.0292415302246809
Inter Cos: -0.0050562708638608456
Norm Quadratic Average: 10.121618270874023
Nearest Class Center Accuracy: 0.592875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.894354343414307
Linear Weight Rank: 179
Intra Cos: 0.030147962272167206
Inter Cos: -0.005563915241509676
Norm Quadratic Average: 10.091438293457031
Nearest Class Center Accuracy: 0.637875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.873973846435547
Linear Weight Rank: 180
Intra Cos: 0.03711996600031853
Inter Cos: -0.01103650126606226
Norm Quadratic Average: 10.067168235778809
Nearest Class Center Accuracy: 0.748375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.833746910095215
Linear Weight Rank: 179
Intra Cos: 0.07894065976142883
Inter Cos: -0.023678021505475044
Norm Quadratic Average: 10.03571891784668
Nearest Class Center Accuracy: 0.9625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4521608352661133
Linear Weight Rank: 4
Intra Cos: 0.30403953790664673
Inter Cos: -0.08493062108755112
Norm Quadratic Average: 10.32506275177002
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8936136960983276
Inter Cos: -0.18663835525512695
Norm Quadratic Average: 8.58092212677002
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.9278998794555664
Accuracy: 0.7265
NC1 Within Class Collapse: 3.5989327430725098
NC2 Equinorm: Features: 0.06443500518798828, Weights: 0.040368564426898956
NC2 Equiangle: Features: 0.06785522898038228, Weights: 0.03448118766148885
NC3 Self-Duality: 0.1492094099521637
NC4 NCC Mismatch: 0.03849999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.938370227813721
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: 5.951082706451416
Linear Weight Rank: 180
Intra Cos: 0.026650169864296913
Inter Cos: -0.004784426651895046
Norm Quadratic Average: 10.132492065429688
Nearest Class Center Accuracy: 0.594

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.894354343414307
Linear Weight Rank: 179
Intra Cos: 0.026028404012322426
Inter Cos: -0.005690849851816893
Norm Quadratic Average: 10.09583854675293
Nearest Class Center Accuracy: 0.628

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.873973846435547
Linear Weight Rank: 180
Intra Cos: 0.02687612920999527
Inter Cos: -0.006698532495647669
Norm Quadratic Average: 10.049080848693848
Nearest Class Center Accuracy: 0.663

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.833746910095215
Linear Weight Rank: 179
Intra Cos: 0.04272887855768204
Inter Cos: -0.009024867787957191
Norm Quadratic Average: 9.968851089477539
Nearest Class Center Accuracy: 0.7155

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4521608352661133
Linear Weight Rank: 4
Intra Cos: 0.12938226759433746
Inter Cos: -0.027073325589299202
Norm Quadratic Average: 9.931720733642578
Nearest Class Center Accuracy: 0.736

Output Layer:
Intra Cos: 0.4092927575111389
Inter Cos: -0.09494823217391968
Norm Quadratic Average: 7.733667850494385
Nearest Class Center Accuracy: 0.727

