Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.069384574890137
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.17192268371582
Linear Weight Rank: 180
Intra Cos: 0.025098148733377457
Inter Cos: -0.003414702136069536
Norm Quadratic Average: 13.956219673156738
Nearest Class Center Accuracy: 0.5855

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148144721984863
Linear Weight Rank: 180
Intra Cos: 0.026982923969626427
Inter Cos: -0.0026688126381486654
Norm Quadratic Average: 13.937150955200195
Nearest Class Center Accuracy: 0.637625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.057883262634277
Linear Weight Rank: 179
Intra Cos: 0.0373297818005085
Inter Cos: -0.004860952962189913
Norm Quadratic Average: 13.900089263916016
Nearest Class Center Accuracy: 0.73825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046161651611328
Linear Weight Rank: 179
Intra Cos: 0.06276813894510269
Inter Cos: -0.016131535172462463
Norm Quadratic Average: 13.874929428100586
Nearest Class Center Accuracy: 0.93375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.840559720993042
Linear Weight Rank: 4
Intra Cos: 0.1927899718284607
Inter Cos: -0.04661467298865318
Norm Quadratic Average: 14.12411117553711
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8535939455032349
Inter Cos: -0.1338139921426773
Norm Quadratic Average: 11.246748924255371
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1016763954162598
Accuracy: 0.731
NC1 Within Class Collapse: 3.7537691593170166
NC2 Equinorm: Features: 0.05481656640768051, Weights: 0.024304455146193504
NC2 Equiangle: Features: 0.1188852588335673, Weights: 0.05511198937892914
NC3 Self-Duality: 0.19808411598205566
NC4 NCC Mismatch: 0.058499999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.069384574890137
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.17192268371582
Linear Weight Rank: 180
Intra Cos: 0.024611644446849823
Inter Cos: -0.0027297502383589745
Norm Quadratic Average: 14.01955509185791
Nearest Class Center Accuracy: 0.5755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148144721984863
Linear Weight Rank: 180
Intra Cos: 0.02335181273519993
Inter Cos: -0.0020255064591765404
Norm Quadratic Average: 13.96523666381836
Nearest Class Center Accuracy: 0.62

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.057883262634277
Linear Weight Rank: 179
Intra Cos: 0.028860434889793396
Inter Cos: -0.001395907369442284
Norm Quadratic Average: 13.918477058410645
Nearest Class Center Accuracy: 0.66

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046161651611328
Linear Weight Rank: 179
Intra Cos: 0.04114197939634323
Inter Cos: -0.005661952309310436
Norm Quadratic Average: 13.810247421264648
Nearest Class Center Accuracy: 0.713

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.840559720993042
Linear Weight Rank: 4
Intra Cos: 0.09201150387525558
Inter Cos: -0.01633123867213726
Norm Quadratic Average: 13.844127655029297
Nearest Class Center Accuracy: 0.7325

Output Layer:
Intra Cos: 0.41280481219291687
Inter Cos: -0.06605560332536697
Norm Quadratic Average: 10.37813949584961
Nearest Class Center Accuracy: 0.732

