Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9479756355285645
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18814468383789
Linear Weight Rank: 179
Intra Cos: 0.012155791744589806
Inter Cos: 0.0026221496518701315
Norm Quadratic Average: 13.470479011535645
Nearest Class Center Accuracy: 0.459375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.062461853027344
Linear Weight Rank: 179
Intra Cos: 0.01121283695101738
Inter Cos: 0.002774569671601057
Norm Quadratic Average: 13.42572021484375
Nearest Class Center Accuracy: 0.48525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.00529670715332
Linear Weight Rank: 179
Intra Cos: 0.012097349390387535
Inter Cos: 0.0029522106051445007
Norm Quadratic Average: 13.424495697021484
Nearest Class Center Accuracy: 0.524375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.916682720184326
Linear Weight Rank: 180
Intra Cos: 0.016909122467041016
Inter Cos: 0.0015898916171863675
Norm Quadratic Average: 13.41731071472168
Nearest Class Center Accuracy: 0.586

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.880817890167236
Linear Weight Rank: 180
Intra Cos: 0.02493506669998169
Inter Cos: -0.0004673583898693323
Norm Quadratic Average: 13.422833442687988
Nearest Class Center Accuracy: 0.692375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.81204080581665
Linear Weight Rank: 179
Intra Cos: 0.0427468940615654
Inter Cos: -0.00497803371399641
Norm Quadratic Average: 13.40507698059082
Nearest Class Center Accuracy: 0.860125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7831525802612305
Linear Weight Rank: 179
Intra Cos: 0.09493128210306168
Inter Cos: -0.015666943043470383
Norm Quadratic Average: 13.464509963989258
Nearest Class Center Accuracy: 0.99375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.587864875793457
Linear Weight Rank: 4
Intra Cos: 0.2661045789718628
Inter Cos: -0.06872174143791199
Norm Quadratic Average: 13.81906795501709
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9142259359359741
Inter Cos: -0.18114925920963287
Norm Quadratic Average: 10.944229125976562
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.541004325866699
Accuracy: 0.5185
NC1 Within Class Collapse: 14.546636581420898
NC2 Equinorm: Features: 0.08399742096662521, Weights: 0.02856704592704773
NC2 Equiangle: Features: 0.2505810260772705, Weights: 0.05868099629878998
NC3 Self-Duality: 0.2482665479183197
NC4 NCC Mismatch: 0.07350000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9479756355285645
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18814468383789
Linear Weight Rank: 179
Intra Cos: 0.013212818652391434
Inter Cos: 0.0028779166750609875
Norm Quadratic Average: 13.451607704162598
Nearest Class Center Accuracy: 0.48

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.062461853027344
Linear Weight Rank: 179
Intra Cos: 0.011271733790636063
Inter Cos: 0.002462248085066676
Norm Quadratic Average: 13.39124870300293
Nearest Class Center Accuracy: 0.5025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.00529670715332
Linear Weight Rank: 179
Intra Cos: 0.009294098243117332
Inter Cos: 0.002801674185320735
Norm Quadratic Average: 13.340004920959473
Nearest Class Center Accuracy: 0.4945

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.916682720184326
Linear Weight Rank: 180
Intra Cos: 0.010432831943035126
Inter Cos: 0.003179631195962429
Norm Quadratic Average: 13.283773422241211
Nearest Class Center Accuracy: 0.5095

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.880817890167236
Linear Weight Rank: 180
Intra Cos: 0.011727225966751575
Inter Cos: 0.0025371513329446316
Norm Quadratic Average: 13.228833198547363
Nearest Class Center Accuracy: 0.5145

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.81204080581665
Linear Weight Rank: 179
Intra Cos: 0.012542704120278358
Inter Cos: 0.0015039619756862521
Norm Quadratic Average: 13.033778190612793
Nearest Class Center Accuracy: 0.513

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7831525802612305
Linear Weight Rank: 179
Intra Cos: 0.016063068062067032
Inter Cos: 0.0030791398603469133
Norm Quadratic Average: 12.810670852661133
Nearest Class Center Accuracy: 0.5275

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.587864875793457
Linear Weight Rank: 4
Intra Cos: 0.029757656157016754
Inter Cos: 0.0021779052913188934
Norm Quadratic Average: 12.318649291992188
Nearest Class Center Accuracy: 0.522

Output Layer:
Intra Cos: 0.11542736738920212
Inter Cos: 0.008280687034130096
Norm Quadratic Average: 8.15048885345459
Nearest Class Center Accuracy: 0.518

