Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.820228576660156
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758478581905365
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: 7.737744331359863
Linear Weight Rank: 180
Intra Cos: 0.060160599648952484
Inter Cos: 0.00734539981931448
Norm Quadratic Average: 4.671554088592529
Nearest Class Center Accuracy: 0.831

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.730238437652588
Linear Weight Rank: 180
Intra Cos: 0.049165088683366776
Inter Cos: 0.01087876595556736
Norm Quadratic Average: 1.6203442811965942
Nearest Class Center Accuracy: 0.739375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.781171798706055
Linear Weight Rank: 179
Intra Cos: 0.04585091397166252
Inter Cos: 0.008430059999227524
Norm Quadratic Average: 0.5788161754608154
Nearest Class Center Accuracy: 0.653375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.745275497436523
Linear Weight Rank: 179
Intra Cos: 0.04697780683636665
Inter Cos: 0.011389872059226036
Norm Quadratic Average: 0.21268945932388306
Nearest Class Center Accuracy: 0.621375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.750793933868408
Linear Weight Rank: 180
Intra Cos: 0.06192552298307419
Inter Cos: 0.01731996238231659
Norm Quadratic Average: 0.08241566270589828
Nearest Class Center Accuracy: 0.6235

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7811994552612305
Linear Weight Rank: 180
Intra Cos: 0.07253733277320862
Inter Cos: 0.027068696916103363
Norm Quadratic Average: 0.03271610289812088
Nearest Class Center Accuracy: 0.6275

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.761412143707275
Linear Weight Rank: 179
Intra Cos: 0.08595359325408936
Inter Cos: 0.03150452673435211
Norm Quadratic Average: 0.013262023217976093
Nearest Class Center Accuracy: 0.61

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.138333797454834
Linear Weight Rank: 4
Intra Cos: 0.09367574006319046
Inter Cos: 0.02488121949136257
Norm Quadratic Average: 0.0051912572234869
Nearest Class Center Accuracy: 0.610125

Output Layer:
Intra Cos: 0.2654106914997101
Inter Cos: 0.14142397046089172
Norm Quadratic Average: 0.0007070212159305811
Nearest Class Center Accuracy: 0.588375

Test Set:
Average Loss: 1.387214382171631
Accuracy: 0.257
NC1 Within Class Collapse: 48.257110595703125
NC2 Equinorm: Features: 0.07267194986343384, Weights: 0.019510265439748764
NC2 Equiangle: Features: 0.4324546655019124, Weights: 0.29412039120992023
NC3 Self-Duality: 1.4570821523666382
NC4 NCC Mismatch: 0.728

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.820228576660156
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 7.737744331359863
Linear Weight Rank: 180
Intra Cos: 0.05813979730010033
Inter Cos: 0.007159243803471327
Norm Quadratic Average: 4.659664154052734
Nearest Class Center Accuracy: 0.841

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.730238437652588
Linear Weight Rank: 180
Intra Cos: 0.04698093608021736
Inter Cos: 0.008514455519616604
Norm Quadratic Average: 1.6130207777023315
Nearest Class Center Accuracy: 0.746

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.781171798706055
Linear Weight Rank: 179
Intra Cos: 0.044716041535139084
Inter Cos: 0.004460498224943876
Norm Quadratic Average: 0.5762271285057068
Nearest Class Center Accuracy: 0.6655

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.745275497436523
Linear Weight Rank: 179
Intra Cos: 0.044379137456417084
Inter Cos: 0.010002901777625084
Norm Quadratic Average: 0.21207557618618011
Nearest Class Center Accuracy: 0.634

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.750793933868408
Linear Weight Rank: 180
Intra Cos: 0.058753062039613724
Inter Cos: 0.01603774167597294
Norm Quadratic Average: 0.08205658197402954
Nearest Class Center Accuracy: 0.6315

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7811994552612305
Linear Weight Rank: 180
Intra Cos: 0.06745731830596924
Inter Cos: 0.02797628566622734
Norm Quadratic Average: 0.03269202634692192
Nearest Class Center Accuracy: 0.6275

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.761412143707275
Linear Weight Rank: 179
Intra Cos: 0.08341352641582489
Inter Cos: 0.03672501817345619
Norm Quadratic Average: 0.013281183317303658
Nearest Class Center Accuracy: 0.6155

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.138333797454834
Linear Weight Rank: 4
Intra Cos: 0.08832774311304092
Inter Cos: 0.026555804535746574
Norm Quadratic Average: 0.005194700788706541
Nearest Class Center Accuracy: 0.621

Output Layer:
Intra Cos: 0.2532207667827606
Inter Cos: 0.1391228437423706
Norm Quadratic Average: 0.0007140728994272649
Nearest Class Center Accuracy: 0.594

