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_265358_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1751408576965332
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
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: 1.7265770435333252
Linear Weight Rank: 177
Intra Cos: 0.03018387034535408
Inter Cos: -0.005490581505000591
Norm Quadratic Average: 1.3653099536895752
Nearest Class Center Accuracy: 0.621125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5292572975158691
Linear Weight Rank: 178
Intra Cos: 0.04249316826462746
Inter Cos: -0.011314879171550274
Norm Quadratic Average: 1.2365635633468628
Nearest Class Center Accuracy: 0.769125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0775814056396484
Linear Weight Rank: 177
Intra Cos: 0.0922529324889183
Inter Cos: -0.026149258017539978
Norm Quadratic Average: 1.0892810821533203
Nearest Class Center Accuracy: 0.96

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8906700611114502
Linear Weight Rank: 174
Intra Cos: 0.4562434256076813
Inter Cos: -0.11403155326843262
Norm Quadratic Average: 1.1183898448944092
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2136776447296143
Linear Weight Rank: 4
Intra Cos: 0.9823204278945923
Inter Cos: -0.26827701926231384
Norm Quadratic Average: 2.4975216388702393
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9962425231933594
Inter Cos: -0.2400650680065155
Norm Quadratic Average: 3.1618494987487793
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.6609676551818847
Accuracy: 0.7485
NC1 Within Class Collapse: 2.5119946002960205
NC2 Equinorm: Features: 0.031560905277729034, Weights: 0.025605255737900734
NC2 Equiangle: Features: 0.04523354768753052, Weights: 0.017752334475517273
NC3 Self-Duality: 0.01217679027467966
NC4 NCC Mismatch: 0.009499999999999953

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1751408576965332
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
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: 1.7265770435333252
Linear Weight Rank: 177
Intra Cos: 0.02726210281252861
Inter Cos: -0.004784497432410717
Norm Quadratic Average: 1.368006944656372
Nearest Class Center Accuracy: 0.62

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5292572975158691
Linear Weight Rank: 178
Intra Cos: 0.033015016466379166
Inter Cos: -0.008127720095217228
Norm Quadratic Average: 1.238448977470398
Nearest Class Center Accuracy: 0.7

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0775814056396484
Linear Weight Rank: 177
Intra Cos: 0.0576169453561306
Inter Cos: -0.011197376064956188
Norm Quadratic Average: 1.0722519159317017
Nearest Class Center Accuracy: 0.7485

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8906700611114502
Linear Weight Rank: 174
Intra Cos: 0.21426019072532654
Inter Cos: -0.04119951277971268
Norm Quadratic Average: 1.0384423732757568
Nearest Class Center Accuracy: 0.7585

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2136776447296143
Linear Weight Rank: 4
Intra Cos: 0.4804362952709198
Inter Cos: -0.11665239185094833
Norm Quadratic Average: 2.0936672687530518
Nearest Class Center Accuracy: 0.751

Output Layer:
Intra Cos: 0.49880146980285645
Inter Cos: -0.13205665349960327
Norm Quadratic Average: 2.6277005672454834
Nearest Class Center Accuracy: 0.7495

