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_314159_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.853818416595459
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 5.934831619262695
Linear Weight Rank: 179
Intra Cos: 0.07806477695703506
Inter Cos: 0.0059465947560966015
Norm Quadratic Average: 10.157320976257324
Nearest Class Center Accuracy: 0.871125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.915228366851807
Linear Weight Rank: 179
Intra Cos: 0.10689392685890198
Inter Cos: 0.010443657636642456
Norm Quadratic Average: 10.10502815246582
Nearest Class Center Accuracy: 0.9165

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.854416370391846
Linear Weight Rank: 179
Intra Cos: 0.12999272346496582
Inter Cos: 0.0027047041803598404
Norm Quadratic Average: 10.070544242858887
Nearest Class Center Accuracy: 0.94775

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.846612930297852
Linear Weight Rank: 179
Intra Cos: 0.15975485742092133
Inter Cos: -0.0022453395649790764
Norm Quadratic Average: 10.008015632629395
Nearest Class Center Accuracy: 0.977625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.852159023284912
Linear Weight Rank: 180
Intra Cos: 0.2042224258184433
Inter Cos: -0.00334544968791306
Norm Quadratic Average: 9.994194984436035
Nearest Class Center Accuracy: 0.9935

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.832311153411865
Linear Weight Rank: 180
Intra Cos: 0.2844190001487732
Inter Cos: -0.012437712401151657
Norm Quadratic Average: 9.99527645111084
Nearest Class Center Accuracy: 0.999875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.825349807739258
Linear Weight Rank: 179
Intra Cos: 0.4215959906578064
Inter Cos: -0.06393318623304367
Norm Quadratic Average: 10.021812438964844
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7749910354614258
Linear Weight Rank: 4
Intra Cos: 0.6309554576873779
Inter Cos: -0.14243316650390625
Norm Quadratic Average: 10.202579498291016
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9736888408660889
Inter Cos: -0.1954452097415924
Norm Quadratic Average: 7.8450422286987305
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3380483388900757
Accuracy: 0.8915
NC1 Within Class Collapse: 1.0586585998535156
NC2 Equinorm: Features: 0.012407133355736732, Weights: 0.035016149282455444
NC2 Equiangle: Features: 0.1887169082959493, Weights: 0.1030162771542867
NC3 Self-Duality: 0.18766024708747864
NC4 NCC Mismatch: 0.008499999999999952

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.853818416595459
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: 5.934831619262695
Linear Weight Rank: 179
Intra Cos: 0.07780081033706665
Inter Cos: 0.007066572085022926
Norm Quadratic Average: 10.143523216247559
Nearest Class Center Accuracy: 0.8775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.915228366851807
Linear Weight Rank: 179
Intra Cos: 0.1022968664765358
Inter Cos: 0.004393813665956259
Norm Quadratic Average: 10.12281608581543
Nearest Class Center Accuracy: 0.8985

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.854416370391846
Linear Weight Rank: 179
Intra Cos: 0.12036573141813278
Inter Cos: 0.0037272232584655285
Norm Quadratic Average: 10.079681396484375
Nearest Class Center Accuracy: 0.9015

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.846612930297852
Linear Weight Rank: 179
Intra Cos: 0.14600566029548645
Inter Cos: -0.0032517914660274982
Norm Quadratic Average: 10.013671875
Nearest Class Center Accuracy: 0.904

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.852159023284912
Linear Weight Rank: 180
Intra Cos: 0.17239312827587128
Inter Cos: -0.004377484321594238
Norm Quadratic Average: 9.978960037231445
Nearest Class Center Accuracy: 0.9065

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.832311153411865
Linear Weight Rank: 180
Intra Cos: 0.2195432037115097
Inter Cos: -0.009403308853507042
Norm Quadratic Average: 9.881429672241211
Nearest Class Center Accuracy: 0.898

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.825349807739258
Linear Weight Rank: 179
Intra Cos: 0.2954266369342804
Inter Cos: -0.02152489870786667
Norm Quadratic Average: 9.759200096130371
Nearest Class Center Accuracy: 0.8985

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7749910354614258
Linear Weight Rank: 4
Intra Cos: 0.4200604259967804
Inter Cos: -0.07516702264547348
Norm Quadratic Average: 9.618941307067871
Nearest Class Center Accuracy: 0.8935

Output Layer:
Intra Cos: 0.707495391368866
Inter Cos: -0.07784584909677505
Norm Quadratic Average: 7.120135307312012
Nearest Class Center Accuracy: 0.8915

