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_846264_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.118329048156738
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 5.177356719970703
Linear Weight Rank: 180
Intra Cos: 0.06707887351512909
Inter Cos: 0.004256647080183029
Norm Quadratic Average: 8.773055076599121
Nearest Class Center Accuracy: 0.867

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.125395774841309
Linear Weight Rank: 179
Intra Cos: 0.09950804710388184
Inter Cos: 0.001578225870616734
Norm Quadratic Average: 8.747183799743652
Nearest Class Center Accuracy: 0.913875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.088380813598633
Linear Weight Rank: 180
Intra Cos: 0.12572219967842102
Inter Cos: -0.00042365386616438627
Norm Quadratic Average: 8.719157218933105
Nearest Class Center Accuracy: 0.951

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.082473278045654
Linear Weight Rank: 180
Intra Cos: 0.15738026797771454
Inter Cos: 0.0011709935497492552
Norm Quadratic Average: 8.715720176696777
Nearest Class Center Accuracy: 0.97475

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.065969467163086
Linear Weight Rank: 179
Intra Cos: 0.20655211806297302
Inter Cos: -0.012704035267233849
Norm Quadratic Average: 8.694026947021484
Nearest Class Center Accuracy: 0.99475

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0635809898376465
Linear Weight Rank: 179
Intra Cos: 0.2937617301940918
Inter Cos: -0.02257280983030796
Norm Quadratic Average: 8.667407035827637
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0540056228637695
Linear Weight Rank: 179
Intra Cos: 0.425568163394928
Inter Cos: -0.052924398332834244
Norm Quadratic Average: 8.682699203491211
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.701567530632019
Linear Weight Rank: 4
Intra Cos: 0.6819396018981934
Inter Cos: -0.1794719249010086
Norm Quadratic Average: 8.879144668579102
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.982094407081604
Inter Cos: -0.23213809728622437
Norm Quadratic Average: 6.91836404800415
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3078569755554199
Accuracy: 0.894
NC1 Within Class Collapse: 1.0017603635787964
NC2 Equinorm: Features: 0.006634300574660301, Weights: 0.02345641329884529
NC2 Equiangle: Features: 0.17491515477498373, Weights: 0.07132841149965923
NC3 Self-Duality: 0.17248588800430298
NC4 NCC Mismatch: 0.007499999999999951

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.118329048156738
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.177356719970703
Linear Weight Rank: 180
Intra Cos: 0.06558520346879959
Inter Cos: 0.002331585856154561
Norm Quadratic Average: 8.760480880737305
Nearest Class Center Accuracy: 0.8755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.125395774841309
Linear Weight Rank: 179
Intra Cos: 0.09577636420726776
Inter Cos: 0.004838657099753618
Norm Quadratic Average: 8.741422653198242
Nearest Class Center Accuracy: 0.8925

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.088380813598633
Linear Weight Rank: 180
Intra Cos: 0.117015540599823
Inter Cos: -0.0013200523098930717
Norm Quadratic Average: 8.735700607299805
Nearest Class Center Accuracy: 0.904

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.082473278045654
Linear Weight Rank: 180
Intra Cos: 0.13866209983825684
Inter Cos: 0.003920460119843483
Norm Quadratic Average: 8.691584587097168
Nearest Class Center Accuracy: 0.901

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.065969467163086
Linear Weight Rank: 179
Intra Cos: 0.17007595300674438
Inter Cos: -0.005802609492093325
Norm Quadratic Average: 8.640256881713867
Nearest Class Center Accuracy: 0.9015

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0635809898376465
Linear Weight Rank: 179
Intra Cos: 0.22986643016338348
Inter Cos: -0.008193845860660076
Norm Quadratic Average: 8.553752899169922
Nearest Class Center Accuracy: 0.897

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0540056228637695
Linear Weight Rank: 179
Intra Cos: 0.3213230073451996
Inter Cos: -0.016799189150333405
Norm Quadratic Average: 8.414923667907715
Nearest Class Center Accuracy: 0.9

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.701567530632019
Linear Weight Rank: 4
Intra Cos: 0.47411859035491943
Inter Cos: -0.08220244944095612
Norm Quadratic Average: 8.223928451538086
Nearest Class Center Accuracy: 0.896

Output Layer:
Intra Cos: 0.7096386551856995
Inter Cos: -0.0967334732413292
Norm Quadratic Average: 6.163362979888916
Nearest Class Center Accuracy: 0.894

