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_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.124107837677002
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: 2.6198368072509766
Linear Weight Rank: 178
Intra Cos: 0.030584007501602173
Inter Cos: -0.005324772093445063
Norm Quadratic Average: 3.338423013687134
Nearest Class Center Accuracy: 0.606625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.493720531463623
Linear Weight Rank: 179
Intra Cos: 0.03719186782836914
Inter Cos: -0.008436735719442368
Norm Quadratic Average: 3.3154146671295166
Nearest Class Center Accuracy: 0.691875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.353672981262207
Linear Weight Rank: 179
Intra Cos: 0.0515163354575634
Inter Cos: -0.013423742726445198
Norm Quadratic Average: 3.30692982673645
Nearest Class Center Accuracy: 0.798375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.198756694793701
Linear Weight Rank: 179
Intra Cos: 0.07391330599784851
Inter Cos: -0.020712170749902725
Norm Quadratic Average: 3.293755292892456
Nearest Class Center Accuracy: 0.92425

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0517418384552
Linear Weight Rank: 179
Intra Cos: 0.1279505044221878
Inter Cos: -0.037190284579992294
Norm Quadratic Average: 3.290717363357544
Nearest Class Center Accuracy: 0.991

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9586483240127563
Linear Weight Rank: 179
Intra Cos: 0.3089466094970703
Inter Cos: -0.09033285826444626
Norm Quadratic Average: 3.2949750423431396
Nearest Class Center Accuracy: 0.999875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9296962022781372
Linear Weight Rank: 179
Intra Cos: 0.6453397870063782
Inter Cos: -0.1899985522031784
Norm Quadratic Average: 3.3062241077423096
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8963298797607422
Linear Weight Rank: 4
Intra Cos: 0.9471566677093506
Inter Cos: -0.23993034660816193
Norm Quadratic Average: 3.8402554988861084
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9936797022819519
Inter Cos: -0.22071580588817596
Norm Quadratic Average: 4.039061069488525
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.7458862686157226
Accuracy: 0.752
NC1 Within Class Collapse: 2.7826805114746094
NC2 Equinorm: Features: 0.060129083693027496, Weights: 0.025958433747291565
NC2 Equiangle: Features: 0.06220811605453491, Weights: 0.01967245837052663
NC3 Self-Duality: 0.04321138188242912
NC4 NCC Mismatch: 0.008499999999999952

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.124107837677002
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: 2.6198368072509766
Linear Weight Rank: 178
Intra Cos: 0.027643099427223206
Inter Cos: -0.005274855997413397
Norm Quadratic Average: 3.343830108642578
Nearest Class Center Accuracy: 0.611

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.493720531463623
Linear Weight Rank: 179
Intra Cos: 0.030813217163085938
Inter Cos: -0.007310043089091778
Norm Quadratic Average: 3.313656806945801
Nearest Class Center Accuracy: 0.6645

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.353672981262207
Linear Weight Rank: 179
Intra Cos: 0.03808797895908356
Inter Cos: -0.009808366186916828
Norm Quadratic Average: 3.293422222137451
Nearest Class Center Accuracy: 0.6995

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.198756694793701
Linear Weight Rank: 179
Intra Cos: 0.05057356134057045
Inter Cos: -0.01127172913402319
Norm Quadratic Average: 3.249493360519409
Nearest Class Center Accuracy: 0.7465

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0517418384552
Linear Weight Rank: 179
Intra Cos: 0.06912632286548615
Inter Cos: -0.01670457050204277
Norm Quadratic Average: 3.1797382831573486
Nearest Class Center Accuracy: 0.7525

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9586483240127563
Linear Weight Rank: 179
Intra Cos: 0.14063212275505066
Inter Cos: -0.027945546433329582
Norm Quadratic Average: 3.0625123977661133
Nearest Class Center Accuracy: 0.7575

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9296962022781372
Linear Weight Rank: 179
Intra Cos: 0.2713059186935425
Inter Cos: -0.030581701546907425
Norm Quadratic Average: 2.964268684387207
Nearest Class Center Accuracy: 0.7565

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8963298797607422
Linear Weight Rank: 4
Intra Cos: 0.4137202799320221
Inter Cos: -0.0839993879199028
Norm Quadratic Average: 3.2907886505126953
Nearest Class Center Accuracy: 0.7535

Output Layer:
Intra Cos: 0.45048987865448
Inter Cos: -0.10551825910806656
Norm Quadratic Average: 3.40181040763855
Nearest Class Center Accuracy: 0.7535

