Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_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: 8.200224876403809
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829856101423502
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.218238830566406
Linear Weight Rank: 179
Intra Cos: 0.01408294029533863
Inter Cos: 0.006283494643867016
Norm Quadratic Average: 4.896209239959717
Nearest Class Center Accuracy: 0.45325

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.238038063049316
Linear Weight Rank: 179
Intra Cos: 0.031428467482328415
Inter Cos: 0.019458163529634476
Norm Quadratic Average: 2.18585205078125
Nearest Class Center Accuracy: 0.467375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18278694152832
Linear Weight Rank: 179
Intra Cos: 0.06796232610940933
Inter Cos: 0.057789988815784454
Norm Quadratic Average: 1.3077892065048218
Nearest Class Center Accuracy: 0.467375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.199772834777832
Linear Weight Rank: 179
Intra Cos: 0.0889415591955185
Inter Cos: 0.10616319626569748
Norm Quadratic Average: 1.0272163152694702
Nearest Class Center Accuracy: 0.456375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7169444561004639
Linear Weight Rank: 4
Intra Cos: 0.09829018265008926
Inter Cos: 0.14810962975025177
Norm Quadratic Average: 0.9815635681152344
Nearest Class Center Accuracy: 0.444125

Output Layer:
Intra Cos: 0.09272053092718124
Inter Cos: 0.18511329591274261
Norm Quadratic Average: 1.0372968912124634
Nearest Class Center Accuracy: 0.40125

Test Set:
Average Loss: 1.2436235122680663
Accuracy: 0.4535
NC1 Within Class Collapse: 32.65390396118164
NC2 Equinorm: Features: 0.2538403272628784, Weights: 0.06672482937574387
NC2 Equiangle: Features: 0.7986865043640137, Weights: 0.2152520219484965
NC3 Self-Duality: 0.5372640490531921
NC4 NCC Mismatch: 0.262

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.200224876403809
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012289620935917
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.218238830566406
Linear Weight Rank: 179
Intra Cos: 0.015619078651070595
Inter Cos: 0.006408147048205137
Norm Quadratic Average: 4.879457473754883
Nearest Class Center Accuracy: 0.465

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.238038063049316
Linear Weight Rank: 179
Intra Cos: 0.034650035202503204
Inter Cos: 0.01905602030456066
Norm Quadratic Average: 2.1773550510406494
Nearest Class Center Accuracy: 0.4655

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18278694152832
Linear Weight Rank: 179
Intra Cos: 0.06359897553920746
Inter Cos: 0.05511978268623352
Norm Quadratic Average: 1.3010892868041992
Nearest Class Center Accuracy: 0.469

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.199772834777832
Linear Weight Rank: 179
Intra Cos: 0.07810646295547485
Inter Cos: 0.09936397522687912
Norm Quadratic Average: 1.0214695930480957
Nearest Class Center Accuracy: 0.452

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7169444561004639
Linear Weight Rank: 4
Intra Cos: 0.07996831834316254
Inter Cos: 0.1359415501356125
Norm Quadratic Average: 0.9776066541671753
Nearest Class Center Accuracy: 0.4385

Output Layer:
Intra Cos: 0.05968858674168587
Inter Cos: 0.16429871320724487
Norm Quadratic Average: 1.034764289855957
Nearest Class Center Accuracy: 0.4035

