Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.379000663757324
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
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: 8.401105880737305
Linear Weight Rank: 179
Intra Cos: 0.027413086965680122
Inter Cos: -0.003948001191020012
Norm Quadratic Average: 5.02255916595459
Nearest Class Center Accuracy: 0.58925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.421842575073242
Linear Weight Rank: 179
Intra Cos: 0.06468784064054489
Inter Cos: -0.013232450932264328
Norm Quadratic Average: 2.5339009761810303
Nearest Class Center Accuracy: 0.667125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.371857643127441
Linear Weight Rank: 179
Intra Cos: 0.15380676090717316
Inter Cos: -0.018609482795000076
Norm Quadratic Average: 1.8904354572296143
Nearest Class Center Accuracy: 0.69775

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.392560005187988
Linear Weight Rank: 179
Intra Cos: 0.242140993475914
Inter Cos: -0.008025179617106915
Norm Quadratic Average: 2.085413694381714
Nearest Class Center Accuracy: 0.7095

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.49699330329895
Linear Weight Rank: 4
Intra Cos: 0.29062095284461975
Inter Cos: 0.0018639829941093922
Norm Quadratic Average: 2.6179332733154297
Nearest Class Center Accuracy: 0.706125

Output Layer:
Intra Cos: 0.32608693838119507
Inter Cos: 0.019558969885110855
Norm Quadratic Average: 3.522509813308716
Nearest Class Center Accuracy: 0.68525

Test Set:
Average Loss: 0.7452529182434082
Accuracy: 0.693
NC1 Within Class Collapse: 6.447869300842285
NC2 Equinorm: Features: 0.14570511877536774, Weights: 0.05798526853322983
NC2 Equiangle: Features: 0.2790677547454834, Weights: 0.16869711875915527
NC3 Self-Duality: 0.1787579506635666
NC4 NCC Mismatch: 0.09399999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.379000663757324
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
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: 8.401105880737305
Linear Weight Rank: 179
Intra Cos: 0.027188830077648163
Inter Cos: -0.002982152858749032
Norm Quadratic Average: 5.034093379974365
Nearest Class Center Accuracy: 0.5875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.421842575073242
Linear Weight Rank: 179
Intra Cos: 0.057238850742578506
Inter Cos: -0.008924893103539944
Norm Quadratic Average: 2.5287773609161377
Nearest Class Center Accuracy: 0.652

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.371857643127441
Linear Weight Rank: 179
Intra Cos: 0.13243407011032104
Inter Cos: -0.02103271149098873
Norm Quadratic Average: 1.8706425428390503
Nearest Class Center Accuracy: 0.672

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.392560005187988
Linear Weight Rank: 179
Intra Cos: 0.207673117518425
Inter Cos: -0.014346727170050144
Norm Quadratic Average: 2.0562856197357178
Nearest Class Center Accuracy: 0.6815

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.49699330329895
Linear Weight Rank: 4
Intra Cos: 0.24885354936122894
Inter Cos: -0.004625605419278145
Norm Quadratic Average: 2.5824742317199707
Nearest Class Center Accuracy: 0.679

Output Layer:
Intra Cos: 0.2857646644115448
Inter Cos: 0.01454981043934822
Norm Quadratic Average: 3.4764795303344727
Nearest Class Center Accuracy: 0.658

