Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_200_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: 8.407590866088867
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222446449100971
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: 8.42844295501709
Linear Weight Rank: 179
Intra Cos: 0.027072349563241005
Inter Cos: -0.003921752795577049
Norm Quadratic Average: 5.039885520935059
Nearest Class Center Accuracy: 0.589875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.449315071105957
Linear Weight Rank: 179
Intra Cos: 0.06228424981236458
Inter Cos: -0.012513328343629837
Norm Quadratic Average: 2.5331475734710693
Nearest Class Center Accuracy: 0.68375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.399822235107422
Linear Weight Rank: 179
Intra Cos: 0.16235117614269257
Inter Cos: -0.02255321480333805
Norm Quadratic Average: 1.8736168146133423
Nearest Class Center Accuracy: 0.721375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.420660972595215
Linear Weight Rank: 179
Intra Cos: 0.2645168602466583
Inter Cos: -0.01820892095565796
Norm Quadratic Average: 2.1254284381866455
Nearest Class Center Accuracy: 0.73225

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.5991432666778564
Linear Weight Rank: 4
Intra Cos: 0.30897054076194763
Inter Cos: -0.01189146377146244
Norm Quadratic Average: 2.771355628967285
Nearest Class Center Accuracy: 0.727125

Output Layer:
Intra Cos: 0.34534797072410583
Inter Cos: 0.004509063437581062
Norm Quadratic Average: 3.8838953971862793
Nearest Class Center Accuracy: 0.706875

Test Set:
Average Loss: 0.7038845272064209
Accuracy: 0.7035
NC1 Within Class Collapse: 5.759243011474609
NC2 Equinorm: Features: 0.13035669922828674, Weights: 0.04697205126285553
NC2 Equiangle: Features: 0.26362403233846027, Weights: 0.15232225259145102
NC3 Self-Duality: 0.1635906994342804
NC4 NCC Mismatch: 0.07999999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.407590866088867
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
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: 8.42844295501709
Linear Weight Rank: 179
Intra Cos: 0.026913948357105255
Inter Cos: -0.0029193891678005457
Norm Quadratic Average: 5.05131196975708
Nearest Class Center Accuracy: 0.591

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.449315071105957
Linear Weight Rank: 179
Intra Cos: 0.05573270469903946
Inter Cos: -0.0076842959970235825
Norm Quadratic Average: 2.5277621746063232
Nearest Class Center Accuracy: 0.668

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.399822235107422
Linear Weight Rank: 179
Intra Cos: 0.1397646814584732
Inter Cos: -0.021628158167004585
Norm Quadratic Average: 1.8530954122543335
Nearest Class Center Accuracy: 0.697

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.420660972595215
Linear Weight Rank: 179
Intra Cos: 0.2274996042251587
Inter Cos: -0.023261912167072296
Norm Quadratic Average: 2.094628095626831
Nearest Class Center Accuracy: 0.703

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.5991432666778564
Linear Weight Rank: 4
Intra Cos: 0.27307382225990295
Inter Cos: -0.016589950770139694
Norm Quadratic Average: 2.7328901290893555
Nearest Class Center Accuracy: 0.6995

Output Layer:
Intra Cos: 0.3107920289039612
Inter Cos: 0.0008843224495649338
Norm Quadratic Average: 3.832509756088257
Nearest Class Center Accuracy: 0.6735

