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_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.255731582641602
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.511554718017578
Linear Weight Rank: 179
Intra Cos: 0.012785470113158226
Inter Cos: 0.005476594902575016
Norm Quadratic Average: 14.07528018951416
Nearest Class Center Accuracy: 0.45975

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.39214038848877
Linear Weight Rank: 180
Intra Cos: 0.011496775783598423
Inter Cos: 0.0040328484028577805
Norm Quadratic Average: 14.0172119140625
Nearest Class Center Accuracy: 0.483625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.364968299865723
Linear Weight Rank: 180
Intra Cos: 0.01129213348031044
Inter Cos: 0.0013907125685364008
Norm Quadratic Average: 14.003877639770508
Nearest Class Center Accuracy: 0.516625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.263306617736816
Linear Weight Rank: 180
Intra Cos: 0.015329791232943535
Inter Cos: -0.0006351867923513055
Norm Quadratic Average: 13.968496322631836
Nearest Class Center Accuracy: 0.589

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.21235179901123
Linear Weight Rank: 180
Intra Cos: 0.022045936435461044
Inter Cos: -0.0023149107582867146
Norm Quadratic Average: 13.988997459411621
Nearest Class Center Accuracy: 0.718375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.194300651550293
Linear Weight Rank: 180
Intra Cos: 0.03974377363920212
Inter Cos: -0.005125805735588074
Norm Quadratic Average: 13.992640495300293
Nearest Class Center Accuracy: 0.891625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145885467529297
Linear Weight Rank: 179
Intra Cos: 0.0826575756072998
Inter Cos: -0.014693478122353554
Norm Quadratic Average: 14.03283405303955
Nearest Class Center Accuracy: 0.996875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6660315990448
Linear Weight Rank: 4
Intra Cos: 0.2415459156036377
Inter Cos: -0.0625397115945816
Norm Quadratic Average: 14.398893356323242
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9003939628601074
Inter Cos: -0.20970410108566284
Norm Quadratic Average: 11.277632713317871
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.6998175048828124
Accuracy: 0.5015
NC1 Within Class Collapse: 16.559865951538086
NC2 Equinorm: Features: 0.10328875482082367, Weights: 0.016750123351812363
NC2 Equiangle: Features: 0.24394349257151285, Weights: 0.05844171345233917
NC3 Self-Duality: 0.2400650829076767
NC4 NCC Mismatch: 0.07350000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.255731582641602
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
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: 8.511554718017578
Linear Weight Rank: 179
Intra Cos: 0.012568628415465355
Inter Cos: 0.004846508149057627
Norm Quadratic Average: 14.011805534362793
Nearest Class Center Accuracy: 0.466

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.39214038848877
Linear Weight Rank: 180
Intra Cos: 0.011540097184479237
Inter Cos: 0.003958065528422594
Norm Quadratic Average: 13.929971694946289
Nearest Class Center Accuracy: 0.49

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.364968299865723
Linear Weight Rank: 180
Intra Cos: 0.008293213322758675
Inter Cos: 0.0016542307566851377
Norm Quadratic Average: 13.942034721374512
Nearest Class Center Accuracy: 0.498

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.263306617736816
Linear Weight Rank: 180
Intra Cos: 0.008612911216914654
Inter Cos: 0.0007271021604537964
Norm Quadratic Average: 13.808341979980469
Nearest Class Center Accuracy: 0.4985

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.21235179901123
Linear Weight Rank: 180
Intra Cos: 0.008071674033999443
Inter Cos: 0.00016755606338847429
Norm Quadratic Average: 13.7860689163208
Nearest Class Center Accuracy: 0.5165

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.194300651550293
Linear Weight Rank: 180
Intra Cos: 0.007857867516577244
Inter Cos: 0.0007126546697691083
Norm Quadratic Average: 13.638920783996582
Nearest Class Center Accuracy: 0.5035

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145885467529297
Linear Weight Rank: 179
Intra Cos: 0.011361615732312202
Inter Cos: 0.00013996459892950952
Norm Quadratic Average: 13.3864164352417
Nearest Class Center Accuracy: 0.5245

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6660315990448
Linear Weight Rank: 4
Intra Cos: 0.025788623839616776
Inter Cos: 0.0024048222694545984
Norm Quadratic Average: 12.905208587646484
Nearest Class Center Accuracy: 0.505

Output Layer:
Intra Cos: 0.11900429427623749
Inter Cos: 0.015099301934242249
Norm Quadratic Average: 8.437945365905762
Nearest Class Center Accuracy: 0.506

