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_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.875155925750732
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.958888530731201
Linear Weight Rank: 180
Intra Cos: 0.02518349699676037
Inter Cos: -0.004445888567715883
Norm Quadratic Average: 13.521629333496094
Nearest Class Center Accuracy: 0.575625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.891821384429932
Linear Weight Rank: 179
Intra Cos: 0.029629409313201904
Inter Cos: -0.0047446489334106445
Norm Quadratic Average: 13.487539291381836
Nearest Class Center Accuracy: 0.62625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.898094654083252
Linear Weight Rank: 180
Intra Cos: 0.03420521691441536
Inter Cos: -0.005204522050917149
Norm Quadratic Average: 13.455923080444336
Nearest Class Center Accuracy: 0.699625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.830050468444824
Linear Weight Rank: 180
Intra Cos: 0.048832327127456665
Inter Cos: -0.008882569149136543
Norm Quadratic Average: 13.431821823120117
Nearest Class Center Accuracy: 0.781

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.809640407562256
Linear Weight Rank: 180
Intra Cos: 0.053160931915044785
Inter Cos: -0.014943664893507957
Norm Quadratic Average: 13.430057525634766
Nearest Class Center Accuracy: 0.882625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8221821784973145
Linear Weight Rank: 180
Intra Cos: 0.08543438464403152
Inter Cos: -0.020332487300038338
Norm Quadratic Average: 13.420601844787598
Nearest Class Center Accuracy: 0.97625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.793862342834473
Linear Weight Rank: 179
Intra Cos: 0.1500696837902069
Inter Cos: -0.03447885066270828
Norm Quadratic Average: 13.40658187866211
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.315323829650879
Linear Weight Rank: 4
Intra Cos: 0.35475626587867737
Inter Cos: -0.09333149343729019
Norm Quadratic Average: 13.642788887023926
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.918757975101471
Inter Cos: -0.17701265215873718
Norm Quadratic Average: 10.867317199707031
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.2801439056396484
Accuracy: 0.6995
NC1 Within Class Collapse: 3.9295425415039062
NC2 Equinorm: Features: 0.07209586352109909, Weights: 0.027792682871222496
NC2 Equiangle: Features: 0.09613994757334392, Weights: 0.07182841499646504
NC3 Self-Duality: 0.197434663772583
NC4 NCC Mismatch: 0.044499999999999984

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.875155925750732
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.958888530731201
Linear Weight Rank: 180
Intra Cos: 0.02349543198943138
Inter Cos: -0.003172309370711446
Norm Quadratic Average: 13.522299766540527
Nearest Class Center Accuracy: 0.593

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.891821384429932
Linear Weight Rank: 179
Intra Cos: 0.026195568963885307
Inter Cos: -0.0026612957008183002
Norm Quadratic Average: 13.454398155212402
Nearest Class Center Accuracy: 0.6075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.898094654083252
Linear Weight Rank: 180
Intra Cos: 0.026904823258519173
Inter Cos: -0.004232835955917835
Norm Quadratic Average: 13.434385299682617
Nearest Class Center Accuracy: 0.6365

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.830050468444824
Linear Weight Rank: 180
Intra Cos: 0.034595586359500885
Inter Cos: -0.006992221809923649
Norm Quadratic Average: 13.352713584899902
Nearest Class Center Accuracy: 0.6695

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.809640407562256
Linear Weight Rank: 180
Intra Cos: 0.03454148769378662
Inter Cos: -0.005226006731390953
Norm Quadratic Average: 13.286669731140137
Nearest Class Center Accuracy: 0.682

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8221821784973145
Linear Weight Rank: 180
Intra Cos: 0.04494490101933479
Inter Cos: -0.005435544066131115
Norm Quadratic Average: 13.130508422851562
Nearest Class Center Accuracy: 0.711

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.793862342834473
Linear Weight Rank: 179
Intra Cos: 0.06183893233537674
Inter Cos: -0.009635678492486477
Norm Quadratic Average: 12.833321571350098
Nearest Class Center Accuracy: 0.7045

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.315323829650879
Linear Weight Rank: 4
Intra Cos: 0.12852436304092407
Inter Cos: -0.019166162237524986
Norm Quadratic Average: 12.488751411437988
Nearest Class Center Accuracy: 0.706

Output Layer:
Intra Cos: 0.3780619204044342
Inter Cos: -0.046738795936107635
Norm Quadratic Average: 9.015003204345703
Nearest Class Center Accuracy: 0.702

