Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.944865345954895
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9243736267089844
Linear Weight Rank: 180
Intra Cos: 0.023457523435354233
Inter Cos: -0.004865369759500027
Norm Quadratic Average: 1.1614985466003418
Nearest Class Center Accuracy: 0.565125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9225162267684937
Linear Weight Rank: 180
Intra Cos: 0.023088859394192696
Inter Cos: -0.0030280218925327063
Norm Quadratic Average: 0.10226695984601974
Nearest Class Center Accuracy: 0.537625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9351826906204224
Linear Weight Rank: 179
Intra Cos: 0.02007295750081539
Inter Cos: -0.002826578915119171
Norm Quadratic Average: 0.009553486481308937
Nearest Class Center Accuracy: 0.514875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9262540340423584
Linear Weight Rank: 180
Intra Cos: 0.020926782861351967
Inter Cos: 0.0013312461087480187
Norm Quadratic Average: 0.0009160664631053805
Nearest Class Center Accuracy: 0.484125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9276283979415894
Linear Weight Rank: 180
Intra Cos: 0.02052229642868042
Inter Cos: 0.0001600683172000572
Norm Quadratic Average: 8.762464858591557e-05
Nearest Class Center Accuracy: 0.46725

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.935206413269043
Linear Weight Rank: 180
Intra Cos: 0.01815956085920334
Inter Cos: 0.0028045265935361385
Norm Quadratic Average: 8.575092579121701e-06
Nearest Class Center Accuracy: 0.43975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9303303956985474
Linear Weight Rank: 179
Intra Cos: 0.022511115297675133
Inter Cos: 0.009729870595037937
Norm Quadratic Average: 8.518780418853567e-07
Nearest Class Center Accuracy: 0.428125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2898642420768738
Linear Weight Rank: 4
Intra Cos: 0.30151063203811646
Inter Cos: 0.3085482716560364
Norm Quadratic Average: 9.428919156562188e-08
Nearest Class Center Accuracy: 0.394125

Output Layer:
Intra Cos: 0.9993900656700134
Inter Cos: 0.9995756149291992
Norm Quadratic Average: 1.3835804679729335e-07
Nearest Class Center Accuracy: 0.265875

Test Set:
Average Loss: 1.3862070388793946
Accuracy: 0.255
NC1 Within Class Collapse: 14.509525299072266
NC2 Equinorm: Features: 0.17270588874816895, Weights: 0.042016688734292984
NC2 Equiangle: Features: 0.2788550059000651, Weights: 0.28308403491973877
NC3 Self-Duality: 1.9241164922714233
NC4 NCC Mismatch: 0.7955

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.944865345954895
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9243736267089844
Linear Weight Rank: 180
Intra Cos: 0.02219504863023758
Inter Cos: -0.004261602647602558
Norm Quadratic Average: 1.1587300300598145
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9225162267684937
Linear Weight Rank: 180
Intra Cos: 0.02225359156727791
Inter Cos: -0.003744326764717698
Norm Quadratic Average: 0.10174060612916946
Nearest Class Center Accuracy: 0.5505

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9351826906204224
Linear Weight Rank: 179
Intra Cos: 0.019209057092666626
Inter Cos: -0.0025880206376314163
Norm Quadratic Average: 0.009505543857812881
Nearest Class Center Accuracy: 0.5145

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9262540340423584
Linear Weight Rank: 180
Intra Cos: 0.019771888852119446
Inter Cos: 0.0014597511617466807
Norm Quadratic Average: 0.0009093068074434996
Nearest Class Center Accuracy: 0.4945

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9276283979415894
Linear Weight Rank: 180
Intra Cos: 0.01951872929930687
Inter Cos: 0.0001106698764488101
Norm Quadratic Average: 8.712137787370011e-05
Nearest Class Center Accuracy: 0.4835

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.935206413269043
Linear Weight Rank: 180
Intra Cos: 0.01639646850526333
Inter Cos: 0.0047531891614198685
Norm Quadratic Average: 8.521281415596604e-06
Nearest Class Center Accuracy: 0.4535

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9303303956985474
Linear Weight Rank: 179
Intra Cos: 0.018876131623983383
Inter Cos: 0.01053181104362011
Norm Quadratic Average: 8.480503765895264e-07
Nearest Class Center Accuracy: 0.436

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2898642420768738
Linear Weight Rank: 4
Intra Cos: 0.042777445167303085
Inter Cos: 0.043197598308324814
Norm Quadratic Average: 8.07897961863091e-08
Nearest Class Center Accuracy: 0.425

Output Layer:
Intra Cos: 0.9947869181632996
Inter Cos: 0.9971768260002136
Norm Quadratic Average: 2.9593675066053038e-08
Nearest Class Center Accuracy: 0.2555

