Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.166949987411499
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: 3.125941753387451
Linear Weight Rank: 179
Intra Cos: 0.02864973247051239
Inter Cos: -0.003979065455496311
Norm Quadratic Average: 1.8567962646484375
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.11875581741333
Linear Weight Rank: 179
Intra Cos: 0.027596835047006607
Inter Cos: -0.004371448885649443
Norm Quadratic Average: 0.27459007501602173
Nearest Class Center Accuracy: 0.536125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1284124851226807
Linear Weight Rank: 180
Intra Cos: 0.025050373747944832
Inter Cos: -0.002770430641248822
Norm Quadratic Average: 0.04042176902294159
Nearest Class Center Accuracy: 0.531

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1175737380981445
Linear Weight Rank: 180
Intra Cos: 0.026475602760910988
Inter Cos: 0.0008583103772252798
Norm Quadratic Average: 0.006035910919308662
Nearest Class Center Accuracy: 0.50425

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.125915288925171
Linear Weight Rank: 180
Intra Cos: 0.024404587224125862
Inter Cos: 0.0006885290495119989
Norm Quadratic Average: 0.0009520766907371581
Nearest Class Center Accuracy: 0.4905

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1179897785186768
Linear Weight Rank: 180
Intra Cos: 0.025427499786019325
Inter Cos: 0.006731802131980658
Norm Quadratic Average: 0.00014817800547461957
Nearest Class Center Accuracy: 0.48275

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.117640972137451
Linear Weight Rank: 180
Intra Cos: 0.027434613555669785
Inter Cos: 0.012983733788132668
Norm Quadratic Average: 2.0932468032697216e-05
Nearest Class Center Accuracy: 0.464875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.4497744143009186
Linear Weight Rank: 4
Intra Cos: 0.02764628268778324
Inter Cos: 0.015133807435631752
Norm Quadratic Average: 3.403745040486683e-06
Nearest Class Center Accuracy: 0.4625

Output Layer:
Intra Cos: 0.3866071105003357
Inter Cos: 0.428279310464859
Norm Quadratic Average: 1.2797845272416453e-07
Nearest Class Center Accuracy: 0.302375

Test Set:
Average Loss: 1.3863742942810058
Accuracy: 0.255
NC1 Within Class Collapse: 33.959041595458984
NC2 Equinorm: Features: 0.11162982881069183, Weights: 0.061520054936409
NC2 Equiangle: Features: 0.48828009764353436, Weights: 0.31312594811121625
NC3 Self-Duality: 1.9917752742767334
NC4 NCC Mismatch: 0.7384999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.166949987411499
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: 3.125941753387451
Linear Weight Rank: 179
Intra Cos: 0.02594878524541855
Inter Cos: -0.0036952560767531395
Norm Quadratic Average: 1.8594712018966675
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.11875581741333
Linear Weight Rank: 179
Intra Cos: 0.02537386678159237
Inter Cos: -0.004226876422762871
Norm Quadratic Average: 0.2747054696083069
Nearest Class Center Accuracy: 0.5395

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1284124851226807
Linear Weight Rank: 180
Intra Cos: 0.022322949022054672
Inter Cos: -0.004082582890987396
Norm Quadratic Average: 0.0403740257024765
Nearest Class Center Accuracy: 0.53

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1175737380981445
Linear Weight Rank: 180
Intra Cos: 0.023169690743088722
Inter Cos: -0.0005974491941742599
Norm Quadratic Average: 0.006010729819536209
Nearest Class Center Accuracy: 0.513

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.125915288925171
Linear Weight Rank: 180
Intra Cos: 0.020683936774730682
Inter Cos: 0.0005562358419410884
Norm Quadratic Average: 0.0009502515895292163
Nearest Class Center Accuracy: 0.491

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1179897785186768
Linear Weight Rank: 180
Intra Cos: 0.02334526553750038
Inter Cos: 0.006968449801206589
Norm Quadratic Average: 0.00014820236538071185
Nearest Class Center Accuracy: 0.4725

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.117640972137451
Linear Weight Rank: 180
Intra Cos: 0.021172741428017616
Inter Cos: 0.008905797265470028
Norm Quadratic Average: 2.098819641105365e-05
Nearest Class Center Accuracy: 0.4575

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.4497744143009186
Linear Weight Rank: 4
Intra Cos: 0.024054545909166336
Inter Cos: 0.01121683418750763
Norm Quadratic Average: 3.4142747153964592e-06
Nearest Class Center Accuracy: 0.45

Output Layer:
Intra Cos: 0.016820140182971954
Inter Cos: 0.04303218051791191
Norm Quadratic Average: 1.0225366509075684e-07
Nearest Class Center Accuracy: 0.2965

