Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.503849983215332
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.0062224469147622585
Norm Quadratic Average: 3.9938883781433105
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.436660766601562
Linear Weight Rank: 179
Intra Cos: 0.027264107018709183
Inter Cos: -0.004875570069998503
Norm Quadratic Average: 5.118913173675537
Nearest Class Center Accuracy: 0.594375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.429342269897461
Linear Weight Rank: 179
Intra Cos: 0.06559436768293381
Inter Cos: -0.014137547463178635
Norm Quadratic Average: 2.557572364807129
Nearest Class Center Accuracy: 0.682375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.484529495239258
Linear Weight Rank: 179
Intra Cos: 0.17266163229942322
Inter Cos: -0.03351237252354622
Norm Quadratic Average: 1.8890069723129272
Nearest Class Center Accuracy: 0.739625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.460144996643066
Linear Weight Rank: 179
Intra Cos: 0.2797645032405853
Inter Cos: -0.053418610244989395
Norm Quadratic Average: 2.1784839630126953
Nearest Class Center Accuracy: 0.76225

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.7329256534576416
Linear Weight Rank: 4
Intra Cos: 0.3258114159107208
Inter Cos: -0.058670952916145325
Norm Quadratic Average: 2.966221332550049
Nearest Class Center Accuracy: 0.765

Output Layer:
Intra Cos: 0.3393057584762573
Inter Cos: -0.04481026530265808
Norm Quadratic Average: 4.307182312011719
Nearest Class Center Accuracy: 0.746625

Test Set:
Average Loss: 0.6472401065826416
Accuracy: 0.726
NC1 Within Class Collapse: 5.222626686096191
NC2 Equinorm: Features: 0.146553635597229, Weights: 0.05400146171450615
NC2 Equiangle: Features: 0.21821536620457968, Weights: 0.0765947053829829
NC3 Self-Duality: 0.1575358510017395
NC4 NCC Mismatch: 0.07950000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.503849983215332
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.0045497240498661995
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: 8.436660766601562
Linear Weight Rank: 179
Intra Cos: 0.0254265945404768
Inter Cos: -0.0037636999040842056
Norm Quadratic Average: 5.107601642608643
Nearest Class Center Accuracy: 0.6

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.429342269897461
Linear Weight Rank: 179
Intra Cos: 0.05909774824976921
Inter Cos: -0.010986042208969593
Norm Quadratic Average: 2.5418031215667725
Nearest Class Center Accuracy: 0.652

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.484529495239258
Linear Weight Rank: 179
Intra Cos: 0.150089293718338
Inter Cos: -0.0290666613727808
Norm Quadratic Average: 1.8714878559112549
Nearest Class Center Accuracy: 0.6975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.460144996643066
Linear Weight Rank: 179
Intra Cos: 0.24306854605674744
Inter Cos: -0.0362265445291996
Norm Quadratic Average: 2.155606746673584
Nearest Class Center Accuracy: 0.712

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.7329256534576416
Linear Weight Rank: 4
Intra Cos: 0.2849081754684448
Inter Cos: -0.026378139853477478
Norm Quadratic Average: 2.935154914855957
Nearest Class Center Accuracy: 0.7195

Output Layer:
Intra Cos: 0.3076716959476471
Inter Cos: -0.00765237957239151
Norm Quadratic Average: 4.266988277435303
Nearest Class Center Accuracy: 0.713

