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_314159_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.2815147638320923
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
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: 1.8277143239974976
Linear Weight Rank: 176
Intra Cos: 0.03034104034304619
Inter Cos: -0.00465016346424818
Norm Quadratic Average: 1.366888165473938
Nearest Class Center Accuracy: 0.624625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7088550329208374
Linear Weight Rank: 177
Intra Cos: 0.04168632626533508
Inter Cos: -0.007224086206406355
Norm Quadratic Average: 1.2784219980239868
Nearest Class Center Accuracy: 0.736875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4789923429489136
Linear Weight Rank: 177
Intra Cos: 0.06385064870119095
Inter Cos: -0.01246644090861082
Norm Quadratic Average: 1.204420566558838
Nearest Class Center Accuracy: 0.863625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2009011507034302
Linear Weight Rank: 178
Intra Cos: 0.1144743338227272
Inter Cos: -0.029205715283751488
Norm Quadratic Average: 1.1134411096572876
Nearest Class Center Accuracy: 0.968375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.9326978325843811
Linear Weight Rank: 178
Intra Cos: 0.24963559210300446
Inter Cos: -0.0694778561592102
Norm Quadratic Average: 1.0463618040084839
Nearest Class Center Accuracy: 0.99925

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7945598363876343
Linear Weight Rank: 179
Intra Cos: 0.614026665687561
Inter Cos: -0.14492173492908478
Norm Quadratic Average: 1.0690910816192627
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8150010704994202
Linear Weight Rank: 179
Intra Cos: 0.9095767736434937
Inter Cos: -0.2136147916316986
Norm Quadratic Average: 1.1747463941574097
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1306843757629395
Linear Weight Rank: 4
Intra Cos: 0.9964474439620972
Inter Cos: -0.25789880752563477
Norm Quadratic Average: 2.4319896697998047
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9990499019622803
Inter Cos: -0.22156260907649994
Norm Quadratic Average: 2.9875195026397705
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.7511057434082031
Accuracy: 0.7315
NC1 Within Class Collapse: 2.9894351959228516
NC2 Equinorm: Features: 0.021207092329859734, Weights: 0.024762539193034172
NC2 Equiangle: Features: 0.06119529902935028, Weights: 0.018280381957689922
NC3 Self-Duality: 0.00663751969113946
NC4 NCC Mismatch: 0.01200000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.2815147638320923
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 1.8277143239974976
Linear Weight Rank: 176
Intra Cos: 0.027254147455096245
Inter Cos: -0.003995799459517002
Norm Quadratic Average: 1.372664213180542
Nearest Class Center Accuracy: 0.616

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7088550329208374
Linear Weight Rank: 177
Intra Cos: 0.03306903690099716
Inter Cos: -0.005124337039887905
Norm Quadratic Average: 1.282925009727478
Nearest Class Center Accuracy: 0.6835

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4789923429489136
Linear Weight Rank: 177
Intra Cos: 0.04417441040277481
Inter Cos: -0.0067216153256595135
Norm Quadratic Average: 1.1963675022125244
Nearest Class Center Accuracy: 0.7265

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2009011507034302
Linear Weight Rank: 178
Intra Cos: 0.061014894396066666
Inter Cos: -0.015354517847299576
Norm Quadratic Average: 1.076398491859436
Nearest Class Center Accuracy: 0.747

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.9326978325843811
Linear Weight Rank: 178
Intra Cos: 0.11320433765649796
Inter Cos: -0.017674686387181282
Norm Quadratic Average: 0.9674333333969116
Nearest Class Center Accuracy: 0.7435

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7945598363876343
Linear Weight Rank: 179
Intra Cos: 0.27808690071105957
Inter Cos: -0.040858909487724304
Norm Quadratic Average: 0.9454509019851685
Nearest Class Center Accuracy: 0.739

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8150010704994202
Linear Weight Rank: 179
Intra Cos: 0.4117487967014313
Inter Cos: -0.08197227865457535
Norm Quadratic Average: 1.0223448276519775
Nearest Class Center Accuracy: 0.735

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1306843757629395
Linear Weight Rank: 4
Intra Cos: 0.4437255859375
Inter Cos: -0.11781912297010422
Norm Quadratic Average: 2.127284526824951
Nearest Class Center Accuracy: 0.7345

Output Layer:
Intra Cos: 0.44627976417541504
Inter Cos: -0.11185474693775177
Norm Quadratic Average: 2.6098473072052
Nearest Class Center Accuracy: 0.734

