Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.919386386871338
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
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: 7.977646827697754
Linear Weight Rank: 180
Intra Cos: 0.029042312875390053
Inter Cos: -0.004772401414811611
Norm Quadratic Average: 13.453370094299316
Nearest Class Center Accuracy: 0.589625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901665687561035
Linear Weight Rank: 179
Intra Cos: 0.030487755313515663
Inter Cos: -0.006837851367890835
Norm Quadratic Average: 13.428864479064941
Nearest Class Center Accuracy: 0.621625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883055686950684
Linear Weight Rank: 180
Intra Cos: 0.032486557960510254
Inter Cos: -0.008820348419249058
Norm Quadratic Average: 13.397560119628906
Nearest Class Center Accuracy: 0.68625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.826035499572754
Linear Weight Rank: 180
Intra Cos: 0.044123776257038116
Inter Cos: -0.008662358857691288
Norm Quadratic Average: 13.350526809692383
Nearest Class Center Accuracy: 0.771

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.820955276489258
Linear Weight Rank: 180
Intra Cos: 0.058454543352127075
Inter Cos: -0.01168336346745491
Norm Quadratic Average: 13.352592468261719
Nearest Class Center Accuracy: 0.878

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7845869064331055
Linear Weight Rank: 180
Intra Cos: 0.09157230705022812
Inter Cos: -0.021574854850769043
Norm Quadratic Average: 13.353486061096191
Nearest Class Center Accuracy: 0.974125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.775431156158447
Linear Weight Rank: 180
Intra Cos: 0.17104411125183105
Inter Cos: -0.045061103999614716
Norm Quadratic Average: 13.397720336914062
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3195559978485107
Linear Weight Rank: 4
Intra Cos: 0.37590354681015015
Inter Cos: -0.09356570243835449
Norm Quadratic Average: 13.625510215759277
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9209344983100891
Inter Cos: -0.22696417570114136
Norm Quadratic Average: 10.992053985595703
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3399312210083008
Accuracy: 0.71
NC1 Within Class Collapse: 3.9880712032318115
NC2 Equinorm: Features: 0.1017015352845192, Weights: 0.04537378251552582
NC2 Equiangle: Features: 0.09620900948842366, Weights: 0.07324604193369548
NC3 Self-Duality: 0.19796791672706604
NC4 NCC Mismatch: 0.04049999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.919386386871338
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
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: 7.977646827697754
Linear Weight Rank: 180
Intra Cos: 0.026482200250029564
Inter Cos: -0.004670234862715006
Norm Quadratic Average: 13.465298652648926
Nearest Class Center Accuracy: 0.5945

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901665687561035
Linear Weight Rank: 179
Intra Cos: 0.026557188481092453
Inter Cos: -0.006099746562540531
Norm Quadratic Average: 13.418099403381348
Nearest Class Center Accuracy: 0.6215

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883055686950684
Linear Weight Rank: 180
Intra Cos: 0.026535140350461006
Inter Cos: -0.007156430743634701
Norm Quadratic Average: 13.353193283081055
Nearest Class Center Accuracy: 0.656

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.826035499572754
Linear Weight Rank: 180
Intra Cos: 0.03140422701835632
Inter Cos: -0.005271539092063904
Norm Quadratic Average: 13.25704288482666
Nearest Class Center Accuracy: 0.679

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.820955276489258
Linear Weight Rank: 180
Intra Cos: 0.03704386577010155
Inter Cos: -0.005380753427743912
Norm Quadratic Average: 13.20720386505127
Nearest Class Center Accuracy: 0.6905

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7845869064331055
Linear Weight Rank: 180
Intra Cos: 0.04506925120949745
Inter Cos: -0.00788450613617897
Norm Quadratic Average: 13.100035667419434
Nearest Class Center Accuracy: 0.7015

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.775431156158447
Linear Weight Rank: 180
Intra Cos: 0.06589320302009583
Inter Cos: -0.0077658891677856445
Norm Quadratic Average: 12.916666030883789
Nearest Class Center Accuracy: 0.709

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3195559978485107
Linear Weight Rank: 4
Intra Cos: 0.12643596529960632
Inter Cos: -0.025001924484968185
Norm Quadratic Average: 12.584425926208496
Nearest Class Center Accuracy: 0.708

Output Layer:
Intra Cos: 0.38094425201416016
Inter Cos: -0.08315148204565048
Norm Quadratic Average: 9.248613357543945
Nearest Class Center Accuracy: 0.708

