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_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.018573760986328
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: 7.989426612854004
Linear Weight Rank: 180
Intra Cos: 0.07037272304296494
Inter Cos: 0.002571872901171446
Norm Quadratic Average: 13.679384231567383
Nearest Class Center Accuracy: 0.862625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.93748664855957
Linear Weight Rank: 179
Intra Cos: 0.10699059814214706
Inter Cos: 0.0032171651255339384
Norm Quadratic Average: 13.63654899597168
Nearest Class Center Accuracy: 0.9165

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.942502975463867
Linear Weight Rank: 180
Intra Cos: 0.12328482419252396
Inter Cos: -0.001481881714425981
Norm Quadratic Average: 13.61233139038086
Nearest Class Center Accuracy: 0.927875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901949882507324
Linear Weight Rank: 180
Intra Cos: 0.1491478979587555
Inter Cos: -0.0007380548631772399
Norm Quadratic Average: 13.570847511291504
Nearest Class Center Accuracy: 0.973

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.915301322937012
Linear Weight Rank: 180
Intra Cos: 0.18973608314990997
Inter Cos: 0.00029178056865930557
Norm Quadratic Average: 13.58006763458252
Nearest Class Center Accuracy: 0.9885

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8894944190979
Linear Weight Rank: 179
Intra Cos: 0.23012858629226685
Inter Cos: -0.02349470928311348
Norm Quadratic Average: 13.56255054473877
Nearest Class Center Accuracy: 0.998125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.88569450378418
Linear Weight Rank: 180
Intra Cos: 0.3242829144001007
Inter Cos: -0.036412034183740616
Norm Quadratic Average: 13.557689666748047
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0444600582122803
Linear Weight Rank: 4
Intra Cos: 0.47878915071487427
Inter Cos: -0.09280133247375488
Norm Quadratic Average: 13.69522476196289
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9600744247436523
Inter Cos: -0.11201877892017365
Norm Quadratic Average: 10.70891284942627
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.367248911857605
Accuracy: 0.885
NC1 Within Class Collapse: 1.1364375352859497
NC2 Equinorm: Features: 0.011901557445526123, Weights: 0.05292673408985138
NC2 Equiangle: Features: 0.23146992921829224, Weights: 0.12810730934143066
NC3 Self-Duality: 0.2280096858739853
NC4 NCC Mismatch: 0.02300000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.018573760986328
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: 7.989426612854004
Linear Weight Rank: 180
Intra Cos: 0.07150493562221527
Inter Cos: 0.0036659655161201954
Norm Quadratic Average: 13.655729293823242
Nearest Class Center Accuracy: 0.864

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.93748664855957
Linear Weight Rank: 179
Intra Cos: 0.10292866826057434
Inter Cos: 0.00259583443403244
Norm Quadratic Average: 13.631814956665039
Nearest Class Center Accuracy: 0.9025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.942502975463867
Linear Weight Rank: 180
Intra Cos: 0.11590519547462463
Inter Cos: 0.005445853807032108
Norm Quadratic Average: 13.608438491821289
Nearest Class Center Accuracy: 0.892

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901949882507324
Linear Weight Rank: 180
Intra Cos: 0.1314411461353302
Inter Cos: -0.0018128312658518553
Norm Quadratic Average: 13.565345764160156
Nearest Class Center Accuracy: 0.899

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.915301322937012
Linear Weight Rank: 180
Intra Cos: 0.1552680879831314
Inter Cos: 0.00030451558995991945
Norm Quadratic Average: 13.593579292297363
Nearest Class Center Accuracy: 0.891

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8894944190979
Linear Weight Rank: 179
Intra Cos: 0.1778876930475235
Inter Cos: -0.005171287339180708
Norm Quadratic Average: 13.5423002243042
Nearest Class Center Accuracy: 0.894

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.88569450378418
Linear Weight Rank: 180
Intra Cos: 0.23327909409999847
Inter Cos: -0.0128886504098773
Norm Quadratic Average: 13.344490051269531
Nearest Class Center Accuracy: 0.8955

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0444600582122803
Linear Weight Rank: 4
Intra Cos: 0.3308638334274292
Inter Cos: -0.03352442383766174
Norm Quadratic Average: 13.155845642089844
Nearest Class Center Accuracy: 0.8945

Output Layer:
Intra Cos: 0.712541937828064
Inter Cos: -0.01801145449280739
Norm Quadratic Average: 9.888534545898438
Nearest Class Center Accuracy: 0.889

