Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_338327_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.818171501159668
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.001758486032485962
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: 7.85515022277832
Linear Weight Rank: 180
Intra Cos: 0.07093469798564911
Inter Cos: 0.002494120504707098
Norm Quadratic Average: 13.456401824951172
Nearest Class Center Accuracy: 0.852375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7985334396362305
Linear Weight Rank: 180
Intra Cos: 0.10563619434833527
Inter Cos: 0.004061865154653788
Norm Quadratic Average: 13.408149719238281
Nearest Class Center Accuracy: 0.91875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.76718807220459
Linear Weight Rank: 180
Intra Cos: 0.13132214546203613
Inter Cos: 0.008482248522341251
Norm Quadratic Average: 13.408970832824707
Nearest Class Center Accuracy: 0.939

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.77688455581665
Linear Weight Rank: 180
Intra Cos: 0.15037323534488678
Inter Cos: 0.013303064741194248
Norm Quadratic Average: 13.389371871948242
Nearest Class Center Accuracy: 0.962625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7769293785095215
Linear Weight Rank: 180
Intra Cos: 0.1723681092262268
Inter Cos: -0.0045403712429106236
Norm Quadratic Average: 13.35799789428711
Nearest Class Center Accuracy: 0.987125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.755230903625488
Linear Weight Rank: 180
Intra Cos: 0.22372102737426758
Inter Cos: -0.014517261646687984
Norm Quadratic Average: 13.313881874084473
Nearest Class Center Accuracy: 0.9995

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.774315357208252
Linear Weight Rank: 179
Intra Cos: 0.3018553555011749
Inter Cos: -0.046048033982515335
Norm Quadratic Average: 13.292798042297363
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0130116939544678
Linear Weight Rank: 4
Intra Cos: 0.4635274410247803
Inter Cos: -0.10098864138126373
Norm Quadratic Average: 13.46365737915039
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9640595316886902
Inter Cos: -0.15124504268169403
Norm Quadratic Average: 10.448196411132812
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3720184144973755
Accuracy: 0.8805
NC1 Within Class Collapse: 1.1891955137252808
NC2 Equinorm: Features: 0.019420763477683067, Weights: 0.04329318180680275
NC2 Equiangle: Features: 0.2324569821357727, Weights: 0.09831945101420085
NC3 Self-Duality: 0.22282344102859497
NC4 NCC Mismatch: 0.019000000000000017

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.818171501159668
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
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: 7.85515022277832
Linear Weight Rank: 180
Intra Cos: 0.07283717393875122
Inter Cos: 0.003956077620387077
Norm Quadratic Average: 13.445782661437988
Nearest Class Center Accuracy: 0.8565

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7985334396362305
Linear Weight Rank: 180
Intra Cos: 0.10402750968933105
Inter Cos: 0.006842282600700855
Norm Quadratic Average: 13.406533241271973
Nearest Class Center Accuracy: 0.894

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.76718807220459
Linear Weight Rank: 180
Intra Cos: 0.12461140751838684
Inter Cos: 0.01346216257661581
Norm Quadratic Average: 13.427687644958496
Nearest Class Center Accuracy: 0.8955

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.77688455581665
Linear Weight Rank: 180
Intra Cos: 0.1424020528793335
Inter Cos: 0.01781359873712063
Norm Quadratic Average: 13.408937454223633
Nearest Class Center Accuracy: 0.8945

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7769293785095215
Linear Weight Rank: 180
Intra Cos: 0.15532808005809784
Inter Cos: 0.0028478389140218496
Norm Quadratic Average: 13.305606842041016
Nearest Class Center Accuracy: 0.893

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.755230903625488
Linear Weight Rank: 180
Intra Cos: 0.18810659646987915
Inter Cos: -0.0022696282248944044
Norm Quadratic Average: 13.142725944519043
Nearest Class Center Accuracy: 0.897

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.774315357208252
Linear Weight Rank: 179
Intra Cos: 0.23191379010677338
Inter Cos: -0.019581951200962067
Norm Quadratic Average: 13.01082992553711
Nearest Class Center Accuracy: 0.891

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0130116939544678
Linear Weight Rank: 4
Intra Cos: 0.3390507996082306
Inter Cos: -0.043469060212373734
Norm Quadratic Average: 12.82475757598877
Nearest Class Center Accuracy: 0.8885

Output Layer:
Intra Cos: 0.7054611444473267
Inter Cos: -0.058473892509937286
Norm Quadratic Average: 9.530632019042969
Nearest Class Center Accuracy: 0.887

