Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp6_model_depth_MLP_15_weight_decay_0.003.pth.tar
Training Set:
Average Loss: 0.003868972476571798
Accuracy: 1.0
NC1 Within Class Collapse: 0.02424613945186138
NC2 Equinorm: Features: 0.02332073263823986, Weights: 0.0146748973056674
NC2 Equiangle: Features: 0.016439964373906452, Weights: 0.016762912273406982
NC3 Self-Duality: 0.003815488191321492
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.28656005859375
Linear Weight Rank: 16
Intra Cos: 0.015340002253651619
Inter Cos: 0.0036838138476014137
Norm Quadratic Average: 3.9849934577941895
Nearest Class Center Accuracy: 0.441

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.729465484619141
Linear Weight Rank: 148
Intra Cos: 0.012000752612948418
Inter Cos: 0.0019192752661183476
Norm Quadratic Average: 2.7112815380096436
Nearest Class Center Accuracy: 0.49325

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.686534404754639
Linear Weight Rank: 144
Intra Cos: 0.0224751066416502
Inter Cos: -0.0011428812285885215
Norm Quadratic Average: 2.2748825550079346
Nearest Class Center Accuracy: 0.71775

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.2132816314697266
Linear Weight Rank: 135
Intra Cos: 0.07465791702270508
Inter Cos: -0.0225715059787035
Norm Quadratic Average: 1.610174298286438
Nearest Class Center Accuracy: 0.9745

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8091281652450562
Linear Weight Rank: 79
Intra Cos: 0.7601630687713623
Inter Cos: -0.0754755362868309
Norm Quadratic Average: 0.5729324221611023
Nearest Class Center Accuracy: 0.99925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6038538813591003
Linear Weight Rank: 47
Intra Cos: 0.9616687297821045
Inter Cos: -0.13631488382816315
Norm Quadratic Average: 0.21354235708713531
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5932764410972595
Linear Weight Rank: 42
Intra Cos: 0.9892796874046326
Inter Cos: 0.22466550767421722
Norm Quadratic Average: 0.13629943132400513
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5972157120704651
Linear Weight Rank: 49
Intra Cos: 0.9910190105438232
Inter Cos: 0.3100935220718384
Norm Quadratic Average: 0.1631336361169815
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5929263830184937
Linear Weight Rank: 53
Intra Cos: 0.9907928109169006
Inter Cos: 0.3153509199619293
Norm Quadratic Average: 0.1779467612504959
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6037489771842957
Linear Weight Rank: 50
Intra Cos: 0.9913743138313293
Inter Cos: 0.2847514748573303
Norm Quadratic Average: 0.21003347635269165
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6201207637786865
Linear Weight Rank: 48
Intra Cos: 0.9920548796653748
Inter Cos: 0.1957101821899414
Norm Quadratic Average: 0.24144534766674042
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6455072164535522
Linear Weight Rank: 44
Intra Cos: 0.9935611486434937
Inter Cos: 0.13387300074100494
Norm Quadratic Average: 0.2873114049434662
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6914318799972534
Linear Weight Rank: 41
Intra Cos: 0.9948659539222717
Inter Cos: -0.018313834443688393
Norm Quadratic Average: 0.36053889989852905
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.929739773273468
Linear Weight Rank: 49
Intra Cos: 0.9946547746658325
Inter Cos: -0.013103517703711987
Norm Quadratic Average: 0.6575151085853577
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2497496604919434
Linear Weight Rank: 3
Intra Cos: 0.9891341328620911
Inter Cos: -0.2858133018016815
Norm Quadratic Average: 3.1671979427337646
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9964773058891296
Inter Cos: -0.2767719328403473
Norm Quadratic Average: 5.926647663116455
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.003873655527830124
Accuracy: 1.0
NC1 Within Class Collapse: 0.02426467090845108
NC2 Equinorm: Features: 0.019501348957419395, Weights: 0.0146748973056674
NC2 Equiangle: Features: 0.016006886959075928, Weights: 0.016762912273406982
NC3 Self-Duality: 0.0036721478682011366
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.28656005859375
Linear Weight Rank: 16
Intra Cos: 0.012989891692996025
Inter Cos: 0.007593180984258652
Norm Quadratic Average: 3.9882302284240723
Nearest Class Center Accuracy: 0.476

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.729465484619141
Linear Weight Rank: 148
Intra Cos: 0.011212535202503204
Inter Cos: 0.004373655654489994
Norm Quadratic Average: 2.7251224517822266
Nearest Class Center Accuracy: 0.539

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.686534404754639
Linear Weight Rank: 144
Intra Cos: 0.021727560088038445
Inter Cos: -0.0021946686320006847
Norm Quadratic Average: 2.2808170318603516
Nearest Class Center Accuracy: 0.718

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.2132816314697266
Linear Weight Rank: 135
Intra Cos: 0.07083041220903397
Inter Cos: -0.020222006365656853
Norm Quadratic Average: 1.6225759983062744
Nearest Class Center Accuracy: 0.977

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8091281652450562
Linear Weight Rank: 79
Intra Cos: 0.7500869035720825
Inter Cos: -0.051310233771800995
Norm Quadratic Average: 0.5754894018173218
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6038538813591003
Linear Weight Rank: 47
Intra Cos: 0.9571614265441895
Inter Cos: -0.12700290977954865
Norm Quadratic Average: 0.21406657993793488
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5932764410972595
Linear Weight Rank: 42
Intra Cos: 0.9865695834159851
Inter Cos: 0.22843152284622192
Norm Quadratic Average: 0.13699673116207123
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5972157120704651
Linear Weight Rank: 49
Intra Cos: 0.9888505935668945
Inter Cos: 0.29091712832450867
Norm Quadratic Average: 0.1638742983341217
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5929263830184937
Linear Weight Rank: 53
Intra Cos: 0.9885939955711365
Inter Cos: 0.2962679862976074
Norm Quadratic Average: 0.17869558930397034
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6037489771842957
Linear Weight Rank: 50
Intra Cos: 0.9893679618835449
Inter Cos: 0.2681967616081238
Norm Quadratic Average: 0.21073833107948303
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6201207637786865
Linear Weight Rank: 48
Intra Cos: 0.9902573823928833
Inter Cos: 0.1825481802225113
Norm Quadratic Average: 0.24205006659030914
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6455072164535522
Linear Weight Rank: 44
Intra Cos: 0.9921116828918457
Inter Cos: 0.12650837004184723
Norm Quadratic Average: 0.28766342997550964
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6914318799972534
Linear Weight Rank: 41
Intra Cos: 0.9935162663459778
Inter Cos: -0.017509019002318382
Norm Quadratic Average: 0.3602794408798218
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.929739773273468
Linear Weight Rank: 49
Intra Cos: 0.9938492774963379
Inter Cos: -0.010563218966126442
Norm Quadratic Average: 0.6566237807273865
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2497496604919434
Linear Weight Rank: 3
Intra Cos: 0.989090621471405
Inter Cos: -0.2751941680908203
Norm Quadratic Average: 3.158684492111206
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9958091974258423
Inter Cos: -0.26642605662345886
Norm Quadratic Average: 5.912237644195557
Nearest Class Center Accuracy: 1.0

