Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.175760746002197
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.196414470672607
Linear Weight Rank: 179
Intra Cos: 0.15092162787914276
Inter Cos: 0.006837347522377968
Norm Quadratic Average: 3.8557639122009277
Nearest Class Center Accuracy: 0.936875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.1998186111450195
Linear Weight Rank: 179
Intra Cos: 0.5416549444198608
Inter Cos: 0.04198979586362839
Norm Quadratic Average: 3.011695384979248
Nearest Class Center Accuracy: 0.935375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.244147300720215
Linear Weight Rank: 179
Intra Cos: 0.6542453169822693
Inter Cos: 0.09005238860845566
Norm Quadratic Average: 4.164186477661133
Nearest Class Center Accuracy: 0.92625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.240063667297363
Linear Weight Rank: 179
Intra Cos: 0.6787846684455872
Inter Cos: 0.11338081955909729
Norm Quadratic Average: 5.940885066986084
Nearest Class Center Accuracy: 0.93125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.756133556365967
Linear Weight Rank: 4
Intra Cos: 0.682503342628479
Inter Cos: 0.10676179826259613
Norm Quadratic Average: 8.355385780334473
Nearest Class Center Accuracy: 0.94525

Output Layer:
Intra Cos: 0.7643755674362183
Inter Cos: 0.09044837951660156
Norm Quadratic Average: 14.595531463623047
Nearest Class Center Accuracy: 0.95725

Test Set:
Average Loss: 0.07141430401802062
Accuracy: 0.979
NC1 Within Class Collapse: 1.732496976852417
NC2 Equinorm: Features: 0.04165687784552574, Weights: 0.07289109379053116
NC2 Equiangle: Features: 0.4323027928670247, Weights: 0.39186445871988934
NC3 Self-Duality: 0.10962218791246414
NC4 NCC Mismatch: 0.05300000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.175760746002197
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.196414470672607
Linear Weight Rank: 179
Intra Cos: 0.14881664514541626
Inter Cos: 0.005360724404454231
Norm Quadratic Average: 3.8542656898498535
Nearest Class Center Accuracy: 0.944

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.1998186111450195
Linear Weight Rank: 179
Intra Cos: 0.5280451774597168
Inter Cos: 0.034165531396865845
Norm Quadratic Average: 3.0272295475006104
Nearest Class Center Accuracy: 0.93

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.244147300720215
Linear Weight Rank: 179
Intra Cos: 0.6334713101387024
Inter Cos: 0.08612558245658875
Norm Quadratic Average: 4.18721342086792
Nearest Class Center Accuracy: 0.9215

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.240063667297363
Linear Weight Rank: 179
Intra Cos: 0.6548386812210083
Inter Cos: 0.10867205262184143
Norm Quadratic Average: 5.97380256652832
Nearest Class Center Accuracy: 0.923

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.756133556365967
Linear Weight Rank: 4
Intra Cos: 0.6582000851631165
Inter Cos: 0.10112912207841873
Norm Quadratic Average: 8.389116287231445
Nearest Class Center Accuracy: 0.939

Output Layer:
Intra Cos: 0.7344478368759155
Inter Cos: 0.0911795124411583
Norm Quadratic Average: 14.619325637817383
Nearest Class Center Accuracy: 0.9475

