Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.9791339635849
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.1276261806488037
Linear Weight Rank: 180
Intra Cos: 0.10764990746974945
Inter Cos: 0.007121662143617868
Norm Quadratic Average: 3.339012861251831
Nearest Class Center Accuracy: 0.92275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0340158939361572
Linear Weight Rank: 179
Intra Cos: 0.15940585732460022
Inter Cos: 0.008551438339054585
Norm Quadratic Average: 3.297057867050171
Nearest Class Center Accuracy: 0.952375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.948428988456726
Linear Weight Rank: 179
Intra Cos: 0.26859092712402344
Inter Cos: -0.005242254585027695
Norm Quadratic Average: 3.27227783203125
Nearest Class Center Accuracy: 0.995625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9311670064926147
Linear Weight Rank: 179
Intra Cos: 0.5633804202079773
Inter Cos: -0.07649397850036621
Norm Quadratic Average: 3.266988754272461
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9321619272232056
Linear Weight Rank: 4
Intra Cos: 0.9424591660499573
Inter Cos: -0.2538083493709564
Norm Quadratic Average: 3.822345495223999
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9959438443183899
Inter Cos: -0.2425118386745453
Norm Quadratic Average: 4.096173286437988
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.18869605922698976
Accuracy: 0.932
NC1 Within Class Collapse: 0.506685197353363
NC2 Equinorm: Features: 0.012406590394675732, Weights: 0.020621825009584427
NC2 Equiangle: Features: 0.14335960149765015, Weights: 0.026789193352063496
NC3 Self-Duality: 0.04604146257042885
NC4 NCC Mismatch: 0.00649999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.9791339635849
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.1276261806488037
Linear Weight Rank: 180
Intra Cos: 0.10541289299726486
Inter Cos: 0.00790831446647644
Norm Quadratic Average: 3.3391690254211426
Nearest Class Center Accuracy: 0.919

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0340158939361572
Linear Weight Rank: 179
Intra Cos: 0.15134146809577942
Inter Cos: 0.007993517443537712
Norm Quadratic Average: 3.3076066970825195
Nearest Class Center Accuracy: 0.916

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.948428988456726
Linear Weight Rank: 179
Intra Cos: 0.2391767054796219
Inter Cos: -0.0019763419404625893
Norm Quadratic Average: 3.2710559368133545
Nearest Class Center Accuracy: 0.9385

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9311670064926147
Linear Weight Rank: 179
Intra Cos: 0.47060611844062805
Inter Cos: -0.0396956168115139
Norm Quadratic Average: 3.2013087272644043
Nearest Class Center Accuracy: 0.9415

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9321619272232056
Linear Weight Rank: 4
Intra Cos: 0.7763071060180664
Inter Cos: -0.15623998641967773
Norm Quadratic Average: 3.5507876873016357
Nearest Class Center Accuracy: 0.936

Output Layer:
Intra Cos: 0.8447068333625793
Inter Cos: -0.14535127580165863
Norm Quadratic Average: 3.7693123817443848
Nearest Class Center Accuracy: 0.937

