Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.1145782470703125
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
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: 5.162583827972412
Linear Weight Rank: 180
Intra Cos: 0.025757241994142532
Inter Cos: -0.004794945474714041
Norm Quadratic Average: 8.731295585632324
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.109194755554199
Linear Weight Rank: 179
Intra Cos: 0.03078647144138813
Inter Cos: -0.003774571232497692
Norm Quadratic Average: 8.712441444396973
Nearest Class Center Accuracy: 0.641

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.098243713378906
Linear Weight Rank: 179
Intra Cos: 0.040634337812662125
Inter Cos: -0.007710485253483057
Norm Quadratic Average: 8.690515518188477
Nearest Class Center Accuracy: 0.777625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.053627014160156
Linear Weight Rank: 180
Intra Cos: 0.08854030072689056
Inter Cos: -0.02411479689180851
Norm Quadratic Average: 8.680652618408203
Nearest Class Center Accuracy: 0.98025

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.331380844116211
Linear Weight Rank: 4
Intra Cos: 0.36528533697128296
Inter Cos: -0.1092110350728035
Norm Quadratic Average: 9.019876480102539
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.91270512342453
Inter Cos: -0.19912682473659515
Norm Quadratic Average: 7.654903411865234
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.8618297462463379
Accuracy: 0.7355
NC1 Within Class Collapse: 3.4414892196655273
NC2 Equinorm: Features: 0.05871668830513954, Weights: 0.034787945449352264
NC2 Equiangle: Features: 0.0727241039276123, Weights: 0.03932909667491913
NC3 Self-Duality: 0.14827051758766174
NC4 NCC Mismatch: 0.03949999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.1145782470703125
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 5.162583827972412
Linear Weight Rank: 180
Intra Cos: 0.02403535135090351
Inter Cos: -0.0035569663159549236
Norm Quadratic Average: 8.731779098510742
Nearest Class Center Accuracy: 0.6

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.109194755554199
Linear Weight Rank: 179
Intra Cos: 0.02660352736711502
Inter Cos: -0.0015734225744381547
Norm Quadratic Average: 8.704605102539062
Nearest Class Center Accuracy: 0.6285

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.098243713378906
Linear Weight Rank: 179
Intra Cos: 0.028428860008716583
Inter Cos: -0.003244090359658003
Norm Quadratic Average: 8.697750091552734
Nearest Class Center Accuracy: 0.676

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.053627014160156
Linear Weight Rank: 180
Intra Cos: 0.047925565391778946
Inter Cos: -0.007300850469619036
Norm Quadratic Average: 8.622150421142578
Nearest Class Center Accuracy: 0.7185

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.331380844116211
Linear Weight Rank: 4
Intra Cos: 0.1520106941461563
Inter Cos: -0.02834158018231392
Norm Quadratic Average: 8.631710052490234
Nearest Class Center Accuracy: 0.741

Output Layer:
Intra Cos: 0.41386082768440247
Inter Cos: -0.07670693844556808
Norm Quadratic Average: 6.827123641967773
Nearest Class Center Accuracy: 0.731

