Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_338327_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.087820053100586
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.001758486032485962
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: 8.053071975708008
Linear Weight Rank: 180
Intra Cos: 0.06239323690533638
Inter Cos: 0.0015563839115202427
Norm Quadratic Average: 4.7296142578125
Nearest Class Center Accuracy: 0.798875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028609275817871
Linear Weight Rank: 180
Intra Cos: 0.04441235587000847
Inter Cos: 0.01095981989055872
Norm Quadratic Average: 1.6393940448760986
Nearest Class Center Accuracy: 0.725625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.016020774841309
Linear Weight Rank: 179
Intra Cos: 0.03720397129654884
Inter Cos: 0.011569008231163025
Norm Quadratic Average: 0.6012003421783447
Nearest Class Center Accuracy: 0.633875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039361000061035
Linear Weight Rank: 180
Intra Cos: 0.043606579303741455
Inter Cos: 0.010132146999239922
Norm Quadratic Average: 0.22388426959514618
Nearest Class Center Accuracy: 0.598375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.049751281738281
Linear Weight Rank: 179
Intra Cos: 0.04853174835443497
Inter Cos: 0.015899328514933586
Norm Quadratic Average: 0.08995749056339264
Nearest Class Center Accuracy: 0.575125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.032739639282227
Linear Weight Rank: 180
Intra Cos: 0.04464920610189438
Inter Cos: 0.036747053265571594
Norm Quadratic Average: 0.03820863738656044
Nearest Class Center Accuracy: 0.536875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05590534210205
Linear Weight Rank: 179
Intra Cos: 0.04446345940232277
Inter Cos: 0.04909736290574074
Norm Quadratic Average: 0.015057847835123539
Nearest Class Center Accuracy: 0.494125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.10887610912323
Linear Weight Rank: 4
Intra Cos: 0.04944910109043121
Inter Cos: 0.057835325598716736
Norm Quadratic Average: 0.006344824563711882
Nearest Class Center Accuracy: 0.484375

Output Layer:
Intra Cos: 0.09896606206893921
Inter Cos: 0.14847369492053986
Norm Quadratic Average: 0.0008705259533599019
Nearest Class Center Accuracy: 0.458875

Test Set:
Average Loss: 1.387254981994629
Accuracy: 0.257
NC1 Within Class Collapse: 99.09754943847656
NC2 Equinorm: Features: 0.20391777157783508, Weights: 0.007834884338080883
NC2 Equiangle: Features: 0.5946556329727173, Weights: 0.3491784731547038
NC3 Self-Duality: 1.5699597597122192
NC4 NCC Mismatch: 0.846

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.087820053100586
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 8.053071975708008
Linear Weight Rank: 180
Intra Cos: 0.06414208561182022
Inter Cos: 0.00513503747060895
Norm Quadratic Average: 4.721167087554932
Nearest Class Center Accuracy: 0.8045

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028609275817871
Linear Weight Rank: 180
Intra Cos: 0.045093145221471786
Inter Cos: 0.012519067153334618
Norm Quadratic Average: 1.6353437900543213
Nearest Class Center Accuracy: 0.7295

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.016020774841309
Linear Weight Rank: 179
Intra Cos: 0.039249029010534286
Inter Cos: 0.013272808864712715
Norm Quadratic Average: 0.5994424223899841
Nearest Class Center Accuracy: 0.645

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039361000061035
Linear Weight Rank: 180
Intra Cos: 0.051063649356365204
Inter Cos: 0.010876543819904327
Norm Quadratic Average: 0.2238832414150238
Nearest Class Center Accuracy: 0.616

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.049751281738281
Linear Weight Rank: 179
Intra Cos: 0.0466671958565712
Inter Cos: 0.01748691499233246
Norm Quadratic Average: 0.08991055935621262
Nearest Class Center Accuracy: 0.597

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.032739639282227
Linear Weight Rank: 180
Intra Cos: 0.051678258925676346
Inter Cos: 0.03925267234444618
Norm Quadratic Average: 0.03819384053349495
Nearest Class Center Accuracy: 0.5685

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05590534210205
Linear Weight Rank: 179
Intra Cos: 0.05045018717646599
Inter Cos: 0.050319552421569824
Norm Quadratic Average: 0.015089435502886772
Nearest Class Center Accuracy: 0.515

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.10887610912323
Linear Weight Rank: 4
Intra Cos: 0.05449913814663887
Inter Cos: 0.05875786393880844
Norm Quadratic Average: 0.006357688922435045
Nearest Class Center Accuracy: 0.498

Output Layer:
Intra Cos: 0.102260060608387
Inter Cos: 0.16288137435913086
Norm Quadratic Average: 0.0008821163792163134
Nearest Class Center Accuracy: 0.472

