Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.180471420288086
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222445983439684
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: 8.238229751586914
Linear Weight Rank: 180
Intra Cos: 0.029171986505389214
Inter Cos: -0.004818027373403311
Norm Quadratic Average: 13.96724796295166
Nearest Class Center Accuracy: 0.590375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.160364151000977
Linear Weight Rank: 179
Intra Cos: 0.03216021507978439
Inter Cos: -0.0058490135706961155
Norm Quadratic Average: 13.960445404052734
Nearest Class Center Accuracy: 0.622625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142712593078613
Linear Weight Rank: 180
Intra Cos: 0.03418129310011864
Inter Cos: -0.007717905566096306
Norm Quadratic Average: 13.92715072631836
Nearest Class Center Accuracy: 0.685125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.084061622619629
Linear Weight Rank: 180
Intra Cos: 0.045991964638233185
Inter Cos: -0.008085646666586399
Norm Quadratic Average: 13.901000022888184
Nearest Class Center Accuracy: 0.775125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07927417755127
Linear Weight Rank: 180
Intra Cos: 0.057606056332588196
Inter Cos: -0.013036119751632214
Norm Quadratic Average: 13.883667945861816
Nearest Class Center Accuracy: 0.87475

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.041603088378906
Linear Weight Rank: 180
Intra Cos: 0.0939965769648552
Inter Cos: -0.025266624987125397
Norm Quadratic Average: 13.869455337524414
Nearest Class Center Accuracy: 0.972125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03268814086914
Linear Weight Rank: 180
Intra Cos: 0.1703357994556427
Inter Cos: -0.04630926251411438
Norm Quadratic Average: 13.897453308105469
Nearest Class Center Accuracy: 0.99975

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3727707862854004
Linear Weight Rank: 4
Intra Cos: 0.3693213164806366
Inter Cos: -0.09891645610332489
Norm Quadratic Average: 14.12841510772705
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9202787280082703
Inter Cos: -0.23585742712020874
Norm Quadratic Average: 11.542104721069336
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.367896499633789
Accuracy: 0.7095
NC1 Within Class Collapse: 3.890860080718994
NC2 Equinorm: Features: 0.0938032791018486, Weights: 0.042900506407022476
NC2 Equiangle: Features: 0.07205988466739655, Weights: 0.07485460738341014
NC3 Self-Duality: 0.2021314650774002
NC4 NCC Mismatch: 0.04200000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.180471420288086
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724981188774
Norm Quadratic Average: 3.995159864425659
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.238229751586914
Linear Weight Rank: 180
Intra Cos: 0.02664080634713173
Inter Cos: -0.004636775702238083
Norm Quadratic Average: 13.982665061950684
Nearest Class Center Accuracy: 0.592

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.160364151000977
Linear Weight Rank: 179
Intra Cos: 0.02792423591017723
Inter Cos: -0.0051259566098451614
Norm Quadratic Average: 13.971352577209473
Nearest Class Center Accuracy: 0.625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142712593078613
Linear Weight Rank: 180
Intra Cos: 0.027529146522283554
Inter Cos: -0.00633715046569705
Norm Quadratic Average: 13.916704177856445
Nearest Class Center Accuracy: 0.6545

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.084061622619629
Linear Weight Rank: 180
Intra Cos: 0.03293190151453018
Inter Cos: -0.004855882842093706
Norm Quadratic Average: 13.8214111328125
Nearest Class Center Accuracy: 0.6735

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07927417755127
Linear Weight Rank: 180
Intra Cos: 0.03640285134315491
Inter Cos: -0.0058227358385920525
Norm Quadratic Average: 13.74924373626709
Nearest Class Center Accuracy: 0.6865

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.041603088378906
Linear Weight Rank: 180
Intra Cos: 0.047090720385313034
Inter Cos: -0.007984260097146034
Norm Quadratic Average: 13.5911865234375
Nearest Class Center Accuracy: 0.711

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03268814086914
Linear Weight Rank: 180
Intra Cos: 0.06585749238729477
Inter Cos: -0.0077341110445559025
Norm Quadratic Average: 13.415754318237305
Nearest Class Center Accuracy: 0.71

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3727707862854004
Linear Weight Rank: 4
Intra Cos: 0.12464351207017899
Inter Cos: -0.024470290169119835
Norm Quadratic Average: 13.082670211791992
Nearest Class Center Accuracy: 0.709

Output Layer:
Intra Cos: 0.3672398328781128
Inter Cos: -0.09379802644252777
Norm Quadratic Average: 9.734639167785645
Nearest Class Center Accuracy: 0.707

