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_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.190680503845215
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758478581905365
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: 8.104506492614746
Linear Weight Rank: 180
Intra Cos: 0.06018958240747452
Inter Cos: 0.007335694041103125
Norm Quadratic Average: 4.892962455749512
Nearest Class Center Accuracy: 0.83075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.096660614013672
Linear Weight Rank: 180
Intra Cos: 0.04994789510965347
Inter Cos: 0.010801219381392002
Norm Quadratic Average: 1.7806144952774048
Nearest Class Center Accuracy: 0.742

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150030136108398
Linear Weight Rank: 179
Intra Cos: 0.04816436022520065
Inter Cos: 0.008357513695955276
Norm Quadratic Average: 0.6690987944602966
Nearest Class Center Accuracy: 0.655625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112464904785156
Linear Weight Rank: 179
Intra Cos: 0.051054149866104126
Inter Cos: 0.013461247086524963
Norm Quadratic Average: 0.2582024335861206
Nearest Class Center Accuracy: 0.627875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11827564239502
Linear Weight Rank: 180
Intra Cos: 0.0686974748969078
Inter Cos: 0.02400396764278412
Norm Quadratic Average: 0.10597514361143112
Nearest Class Center Accuracy: 0.63125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150137901306152
Linear Weight Rank: 180
Intra Cos: 0.08420802652835846
Inter Cos: 0.03806103393435478
Norm Quadratic Average: 0.04447373375296593
Nearest Class Center Accuracy: 0.6345

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12940502166748
Linear Weight Rank: 179
Intra Cos: 0.09927526116371155
Inter Cos: 0.04799715429544449
Norm Quadratic Average: 0.01918439380824566
Nearest Class Center Accuracy: 0.622

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1949882507324219
Linear Weight Rank: 4
Intra Cos: 0.10957637429237366
Inter Cos: 0.04592021554708481
Norm Quadratic Average: 0.007922511547803879
Nearest Class Center Accuracy: 0.62375

Output Layer:
Intra Cos: 0.27555274963378906
Inter Cos: 0.17982117831707
Norm Quadratic Average: 0.0013324491446837783
Nearest Class Center Accuracy: 0.611875

Test Set:
Average Loss: 1.3869574241638183
Accuracy: 0.257
NC1 Within Class Collapse: 40.59623718261719
NC2 Equinorm: Features: 0.11519519984722137, Weights: 0.01957237347960472
NC2 Equiangle: Features: 0.4351089795430501, Weights: 0.2928158442179362
NC3 Self-Duality: 1.410354733467102
NC4 NCC Mismatch: 0.721

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.190680503845215
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 8.104506492614746
Linear Weight Rank: 180
Intra Cos: 0.058169879019260406
Inter Cos: 0.0071366336196660995
Norm Quadratic Average: 4.880517959594727
Nearest Class Center Accuracy: 0.8415

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.096660614013672
Linear Weight Rank: 180
Intra Cos: 0.047795504331588745
Inter Cos: 0.008223543874919415
Norm Quadratic Average: 1.772569179534912
Nearest Class Center Accuracy: 0.75

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150030136108398
Linear Weight Rank: 179
Intra Cos: 0.047034721821546555
Inter Cos: 0.00559158343821764
Norm Quadratic Average: 0.6660836338996887
Nearest Class Center Accuracy: 0.6735

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112464904785156
Linear Weight Rank: 179
Intra Cos: 0.04878722131252289
Inter Cos: 0.012124640867114067
Norm Quadratic Average: 0.25742480158805847
Nearest Class Center Accuracy: 0.644

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11827564239502
Linear Weight Rank: 180
Intra Cos: 0.06555795669555664
Inter Cos: 0.022959405556321144
Norm Quadratic Average: 0.10546387732028961
Nearest Class Center Accuracy: 0.6345

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150137901306152
Linear Weight Rank: 180
Intra Cos: 0.07871948182582855
Inter Cos: 0.038705404847860336
Norm Quadratic Average: 0.04446865990757942
Nearest Class Center Accuracy: 0.6325

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12940502166748
Linear Weight Rank: 179
Intra Cos: 0.09675154834985733
Inter Cos: 0.05281812697649002
Norm Quadratic Average: 0.019231338053941727
Nearest Class Center Accuracy: 0.634

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1949882507324219
Linear Weight Rank: 4
Intra Cos: 0.10428731143474579
Inter Cos: 0.04672987386584282
Norm Quadratic Average: 0.007942384108901024
Nearest Class Center Accuracy: 0.629

Output Layer:
Intra Cos: 0.2631990611553192
Inter Cos: 0.16980022192001343
Norm Quadratic Average: 0.0013443866046145558
Nearest Class Center Accuracy: 0.617

