Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_265358_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.047427177429199
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 2.287200689315796
Linear Weight Rank: 179
Intra Cos: 0.10176942497491837
Inter Cos: 0.006972803734242916
Norm Quadratic Average: 3.343099594116211
Nearest Class Center Accuracy: 0.920625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.170102834701538
Linear Weight Rank: 180
Intra Cos: 0.15666279196739197
Inter Cos: 0.002356236334890127
Norm Quadratic Average: 3.312328338623047
Nearest Class Center Accuracy: 0.96575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.085087299346924
Linear Weight Rank: 180
Intra Cos: 0.18334181606769562
Inter Cos: -0.004875411745160818
Norm Quadratic Average: 3.3020191192626953
Nearest Class Center Accuracy: 0.989375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0044636726379395
Linear Weight Rank: 179
Intra Cos: 0.23838919401168823
Inter Cos: -0.0008333963342010975
Norm Quadratic Average: 3.2859907150268555
Nearest Class Center Accuracy: 0.997875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9655139446258545
Linear Weight Rank: 180
Intra Cos: 0.3825051784515381
Inter Cos: -0.04079728573560715
Norm Quadratic Average: 3.2832648754119873
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9387810230255127
Linear Weight Rank: 179
Intra Cos: 0.6164030432701111
Inter Cos: -0.10430946946144104
Norm Quadratic Average: 3.2773725986480713
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9306174516677856
Linear Weight Rank: 180
Intra Cos: 0.8539043068885803
Inter Cos: -0.17717823386192322
Norm Quadratic Average: 3.2868120670318604
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8434480428695679
Linear Weight Rank: 4
Intra Cos: 0.9754305481910706
Inter Cos: -0.2818884551525116
Norm Quadratic Average: 3.779564619064331
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9979801774024963
Inter Cos: -0.2590155601501465
Norm Quadratic Average: 3.942099094390869
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.22858784103393553
Accuracy: 0.9195
NC1 Within Class Collapse: 0.5461008548736572
NC2 Equinorm: Features: 0.014146031811833382, Weights: 0.025117861106991768
NC2 Equiangle: Features: 0.1066213846206665, Weights: 0.034061744809150696
NC3 Self-Duality: 0.02690543606877327
NC4 NCC Mismatch: 0.0034999999999999476

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.047427177429199
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 2.287200689315796
Linear Weight Rank: 179
Intra Cos: 0.10261339694261551
Inter Cos: 0.01246119849383831
Norm Quadratic Average: 3.3416850566864014
Nearest Class Center Accuracy: 0.9135

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.170102834701538
Linear Weight Rank: 180
Intra Cos: 0.14884035289287567
Inter Cos: 0.01019151508808136
Norm Quadratic Average: 3.3140664100646973
Nearest Class Center Accuracy: 0.9355

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.085087299346924
Linear Weight Rank: 180
Intra Cos: 0.16738365590572357
Inter Cos: 0.003442134242504835
Norm Quadratic Average: 3.2825870513916016
Nearest Class Center Accuracy: 0.9435

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0044636726379395
Linear Weight Rank: 179
Intra Cos: 0.20488843321800232
Inter Cos: 0.0024027645122259855
Norm Quadratic Average: 3.245244026184082
Nearest Class Center Accuracy: 0.9305

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9655139446258545
Linear Weight Rank: 180
Intra Cos: 0.31231117248535156
Inter Cos: -0.028237974271178246
Norm Quadratic Average: 3.2087066173553467
Nearest Class Center Accuracy: 0.926

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9387810230255127
Linear Weight Rank: 179
Intra Cos: 0.5055310726165771
Inter Cos: -0.060550667345523834
Norm Quadratic Average: 3.159761905670166
Nearest Class Center Accuracy: 0.925

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9306174516677856
Linear Weight Rank: 180
Intra Cos: 0.6757388114929199
Inter Cos: -0.11013969033956528
Norm Quadratic Average: 3.1106977462768555
Nearest Class Center Accuracy: 0.925

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8434480428695679
Linear Weight Rank: 4
Intra Cos: 0.7717376351356506
Inter Cos: -0.16942048072814941
Norm Quadratic Average: 3.5334577560424805
Nearest Class Center Accuracy: 0.922

Output Layer:
Intra Cos: 0.8023618459701538
Inter Cos: -0.15505900979042053
Norm Quadratic Average: 3.666297435760498
Nearest Class Center Accuracy: 0.9215

