Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.114544868469238
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.029077529907227
Linear Weight Rank: 180
Intra Cos: 0.02346689999103546
Inter Cos: -0.004874330945312977
Norm Quadratic Average: 4.846278190612793
Nearest Class Center Accuracy: 0.564875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.021349906921387
Linear Weight Rank: 180
Intra Cos: 0.02217627316713333
Inter Cos: -0.002984624123200774
Norm Quadratic Average: 1.7412338256835938
Nearest Class Center Accuracy: 0.531375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.074172019958496
Linear Weight Rank: 179
Intra Cos: 0.017848102375864983
Inter Cos: -0.0031276345252990723
Norm Quadratic Average: 0.6427153944969177
Nearest Class Center Accuracy: 0.5065

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036941528320312
Linear Weight Rank: 180
Intra Cos: 0.015490423887968063
Inter Cos: 0.000854549347423017
Norm Quadratic Average: 0.24346104264259338
Nearest Class Center Accuracy: 0.49175

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042637825012207
Linear Weight Rank: 180
Intra Cos: 0.012653850950300694
Inter Cos: -0.00193367141764611
Norm Quadratic Average: 0.09824004024267197
Nearest Class Center Accuracy: 0.45875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.074151039123535
Linear Weight Rank: 180
Intra Cos: 0.01359675731509924
Inter Cos: 0.0029461150988936424
Norm Quadratic Average: 0.04090951010584831
Nearest Class Center Accuracy: 0.434625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.053532600402832
Linear Weight Rank: 179
Intra Cos: 0.01754007861018181
Inter Cos: 0.002054523676633835
Norm Quadratic Average: 0.017276745289564133
Nearest Class Center Accuracy: 0.431125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1848664283752441
Linear Weight Rank: 4
Intra Cos: 0.01403325516730547
Inter Cos: 0.0011953222565352917
Norm Quadratic Average: 0.006833150517195463
Nearest Class Center Accuracy: 0.423375

Output Layer:
Intra Cos: 0.03022240847349167
Inter Cos: 0.0191140566021204
Norm Quadratic Average: 0.0008339029736816883
Nearest Class Center Accuracy: 0.3915

Test Set:
Average Loss: 1.3866244354248047
Accuracy: 0.255
NC1 Within Class Collapse: 30.131471633911133
NC2 Equinorm: Features: 0.27163878083229065, Weights: 0.022442663088440895
NC2 Equiangle: Features: 0.18685994545618692, Weights: 0.29270944992701214
NC3 Self-Duality: 1.5211955308914185
NC4 NCC Mismatch: 0.817

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.114544868469238
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.029077529907227
Linear Weight Rank: 180
Intra Cos: 0.022202078253030777
Inter Cos: -0.004268269520252943
Norm Quadratic Average: 4.8346967697143555
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.021349906921387
Linear Weight Rank: 180
Intra Cos: 0.021233098581433296
Inter Cos: -0.004009762313216925
Norm Quadratic Average: 1.7314441204071045
Nearest Class Center Accuracy: 0.538

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.074172019958496
Linear Weight Rank: 179
Intra Cos: 0.01646311953663826
Inter Cos: -0.0015575853176414967
Norm Quadratic Average: 0.6386889219284058
Nearest Class Center Accuracy: 0.502

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036941528320312
Linear Weight Rank: 180
Intra Cos: 0.014605975709855556
Inter Cos: 0.00018921685114037246
Norm Quadratic Average: 0.24121446907520294
Nearest Class Center Accuracy: 0.507

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042637825012207
Linear Weight Rank: 180
Intra Cos: 0.011559967882931232
Inter Cos: -0.001330977538600564
Norm Quadratic Average: 0.09724640846252441
Nearest Class Center Accuracy: 0.457

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.074151039123535
Linear Weight Rank: 180
Intra Cos: 0.011540855281054974
Inter Cos: -0.0002955986128654331
Norm Quadratic Average: 0.04040224105119705
Nearest Class Center Accuracy: 0.4325

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.053532600402832
Linear Weight Rank: 179
Intra Cos: 0.01621503010392189
Inter Cos: 0.0033887196332216263
Norm Quadratic Average: 0.01699959859251976
Nearest Class Center Accuracy: 0.4225

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1848664283752441
Linear Weight Rank: 4
Intra Cos: 0.013428725302219391
Inter Cos: 0.0007697949185967445
Norm Quadratic Average: 0.006738085765391588
Nearest Class Center Accuracy: 0.412

Output Layer:
Intra Cos: 0.02654595859348774
Inter Cos: 0.017193883657455444
Norm Quadratic Average: 0.0008209956577047706
Nearest Class Center Accuracy: 0.387

