Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_846264_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.850423812866211
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.0017584878951311111
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: 7.883512020111084
Linear Weight Rank: 179
Intra Cos: 0.06423873454332352
Inter Cos: 0.004894651472568512
Norm Quadratic Average: 13.359228134155273
Nearest Class Center Accuracy: 0.862

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.829809188842773
Linear Weight Rank: 179
Intra Cos: 0.09290288388729095
Inter Cos: 0.004325013142079115
Norm Quadratic Average: 13.355020523071289
Nearest Class Center Accuracy: 0.89925

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.786380290985107
Linear Weight Rank: 180
Intra Cos: 0.1154886782169342
Inter Cos: 0.003616391448304057
Norm Quadratic Average: 13.336446762084961
Nearest Class Center Accuracy: 0.942

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7880449295043945
Linear Weight Rank: 180
Intra Cos: 0.13847167789936066
Inter Cos: 0.004176882561296225
Norm Quadratic Average: 13.311223983764648
Nearest Class Center Accuracy: 0.9645

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7706756591796875
Linear Weight Rank: 179
Intra Cos: 0.17326141893863678
Inter Cos: -0.005870613269507885
Norm Quadratic Average: 13.297118186950684
Nearest Class Center Accuracy: 0.98975

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771332263946533
Linear Weight Rank: 179
Intra Cos: 0.23141534626483917
Inter Cos: -0.012715375982224941
Norm Quadratic Average: 13.282849311828613
Nearest Class Center Accuracy: 0.999375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.758178234100342
Linear Weight Rank: 179
Intra Cos: 0.30223798751831055
Inter Cos: -0.02911248803138733
Norm Quadratic Average: 13.291646003723145
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0422627925872803
Linear Weight Rank: 4
Intra Cos: 0.48084357380867004
Inter Cos: -0.10102565586566925
Norm Quadratic Average: 13.433886528015137
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.961174726486206
Inter Cos: -0.15121883153915405
Norm Quadratic Average: 10.56420612335205
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.36838389205932615
Accuracy: 0.88
NC1 Within Class Collapse: 1.2037557363510132
NC2 Equinorm: Features: 0.01735774800181389, Weights: 0.024488205090165138
NC2 Equiangle: Features: 0.22632054487864176, Weights: 0.11503022909164429
NC3 Self-Duality: 0.23803730309009552
NC4 NCC Mismatch: 0.015000000000000013

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.850423812866211
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 7.883512020111084
Linear Weight Rank: 179
Intra Cos: 0.06267789006233215
Inter Cos: 0.0020195168908685446
Norm Quadratic Average: 13.340619087219238
Nearest Class Center Accuracy: 0.8655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.829809188842773
Linear Weight Rank: 179
Intra Cos: 0.08931613713502884
Inter Cos: 0.0033628514502197504
Norm Quadratic Average: 13.343955039978027
Nearest Class Center Accuracy: 0.8815

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.786380290985107
Linear Weight Rank: 180
Intra Cos: 0.10787224024534225
Inter Cos: -0.0017816155450418591
Norm Quadratic Average: 13.370094299316406
Nearest Class Center Accuracy: 0.8955

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7880449295043945
Linear Weight Rank: 180
Intra Cos: 0.12421172857284546
Inter Cos: 0.006480374839156866
Norm Quadratic Average: 13.293560981750488
Nearest Class Center Accuracy: 0.895

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7706756591796875
Linear Weight Rank: 179
Intra Cos: 0.14504973590373993
Inter Cos: -0.0012370473705232143
Norm Quadratic Average: 13.229558944702148
Nearest Class Center Accuracy: 0.8935

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771332263946533
Linear Weight Rank: 179
Intra Cos: 0.17746703326702118
Inter Cos: -0.002345987828448415
Norm Quadratic Average: 13.15186595916748
Nearest Class Center Accuracy: 0.888

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.758178234100342
Linear Weight Rank: 179
Intra Cos: 0.2292022407054901
Inter Cos: -0.004454393871128559
Norm Quadratic Average: 13.021928787231445
Nearest Class Center Accuracy: 0.8875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0422627925872803
Linear Weight Rank: 4
Intra Cos: 0.3378699719905853
Inter Cos: -0.04088285192847252
Norm Quadratic Average: 12.777515411376953
Nearest Class Center Accuracy: 0.88

Output Layer:
Intra Cos: 0.70846027135849
Inter Cos: -0.03987666964530945
Norm Quadratic Average: 9.608264923095703
Nearest Class Center Accuracy: 0.881

