Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp6_model_depth_MLP_15_weight_decay_0.0001.pth.tar
Training Set:
Average Loss: 0.00016466034029144795
Accuracy: 1.0
NC1 Within Class Collapse: 0.44428712129592896
NC2 Equinorm: Features: 0.054112065583467484, Weights: 0.030776886269450188
NC2 Equiangle: Features: 0.03845219314098358, Weights: 0.04559299349784851
NC3 Self-Duality: 0.2443142831325531
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 19.659786224365234
Intra Cos: 0.015340002253651619
Inter Cos: 0.00368381361477077
Norm Quadratic Average: 3.9849934577941895
Nearest Class Center Accuracy: 0.441

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 28.45039176940918
Intra Cos: 0.014584681019186974
Inter Cos: 0.0030635709408670664
Norm Quadratic Average: 11.020255088806152
Nearest Class Center Accuracy: 0.4845

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 26.98114013671875
Intra Cos: 0.017124952748417854
Inter Cos: 0.003436448983848095
Norm Quadratic Average: 10.984447479248047
Nearest Class Center Accuracy: 0.53875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 21.72789764404297
Intra Cos: 0.029528958722949028
Inter Cos: 0.0011638702126219869
Norm Quadratic Average: 10.565484046936035
Nearest Class Center Accuracy: 0.68225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 16.08936309814453
Intra Cos: 0.06404531747102737
Inter Cos: -0.0024775692727416754
Norm Quadratic Average: 10.218465805053711
Nearest Class Center Accuracy: 0.86825

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.214532852172852
Intra Cos: 0.15620893239974976
Inter Cos: -0.025362607091665268
Norm Quadratic Average: 10.103025436401367
Nearest Class Center Accuracy: 0.9715

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.962559700012207
Intra Cos: 0.2910008132457733
Inter Cos: -0.08404847979545593
Norm Quadratic Average: 10.113321304321289
Nearest Class Center Accuracy: 0.99875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.864303588867188
Intra Cos: 0.43625566363334656
Inter Cos: -0.16042722761631012
Norm Quadratic Average: 10.156898498535156
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.297774314880371
Intra Cos: 0.563785195350647
Inter Cos: -0.21131348609924316
Norm Quadratic Average: 10.200620651245117
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956836223602295
Intra Cos: 0.6664220690727234
Inter Cos: -0.20275163650512695
Norm Quadratic Average: 10.22028923034668
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.752478122711182
Intra Cos: 0.735636830329895
Inter Cos: -0.21601173281669617
Norm Quadratic Average: 10.204201698303223
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.634953022003174
Intra Cos: 0.7729780077934265
Inter Cos: -0.20722022652626038
Norm Quadratic Average: 10.208123207092285
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.689833164215088
Intra Cos: 0.7684468030929565
Inter Cos: -0.22108320891857147
Norm Quadratic Average: 10.267044067382812
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.011149406433105
Intra Cos: 0.7456603050231934
Inter Cos: -0.23292560875415802
Norm Quadratic Average: 10.428483009338379
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 4.437062740325928
Intra Cos: 0.7362264394760132
Inter Cos: -0.20822203159332275
Norm Quadratic Average: 6.201691150665283
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9369637966156006
Inter Cos: -0.2206340730190277
Norm Quadratic Average: 10.77682876586914
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.00015392671525478363
Accuracy: 1.0
NC1 Within Class Collapse: 0.32225674390792847
NC2 Equinorm: Features: 0.06604918092489243, Weights: 0.030776886269450188
NC2 Equiangle: Features: 0.041634395718574524, Weights: 0.04559299349784851
NC3 Self-Duality: 0.237143412232399
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 19.659786224365234
Intra Cos: 0.012989893555641174
Inter Cos: 0.007593180518597364
Norm Quadratic Average: 3.9882302284240723
Nearest Class Center Accuracy: 0.476

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 28.45039176940918
Intra Cos: 0.01255066692829132
Inter Cos: 0.006411238573491573
Norm Quadratic Average: 11.048812866210938
Nearest Class Center Accuracy: 0.524

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 26.98114013671875
Intra Cos: 0.015606967732310295
Inter Cos: 0.004374170210212469
Norm Quadratic Average: 11.051067352294922
Nearest Class Center Accuracy: 0.559

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 21.72789764404297
Intra Cos: 0.026590745896100998
Inter Cos: 0.002131017856299877
Norm Quadratic Average: 10.601069450378418
Nearest Class Center Accuracy: 0.679

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 16.08936309814453
Intra Cos: 0.05675771087408066
Inter Cos: -0.0006419562851078808
Norm Quadratic Average: 10.217470169067383
Nearest Class Center Accuracy: 0.85

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.214532852172852
Intra Cos: 0.14609891176223755
Inter Cos: -0.03326172009110451
Norm Quadratic Average: 10.110611915588379
Nearest Class Center Accuracy: 0.978

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.962559700012207
Intra Cos: 0.27761974930763245
Inter Cos: -0.09555072337388992
Norm Quadratic Average: 10.140470504760742
Nearest Class Center Accuracy: 0.998

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.864303588867188
Intra Cos: 0.42303207516670227
Inter Cos: -0.15145666897296906
Norm Quadratic Average: 10.191680908203125
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.297774314880371
Intra Cos: 0.5520458221435547
Inter Cos: -0.20340460538864136
Norm Quadratic Average: 10.208075523376465
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956836223602295
Intra Cos: 0.6571270823478699
Inter Cos: -0.19461366534233093
Norm Quadratic Average: 10.190796852111816
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.752478122711182
Intra Cos: 0.7318344116210938
Inter Cos: -0.20669154822826385
Norm Quadratic Average: 10.143149375915527
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.634953022003174
Intra Cos: 0.7759350538253784
Inter Cos: -0.19922012090682983
Norm Quadratic Average: 10.112361907958984
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.689833164215088
Intra Cos: 0.7782819271087646
Inter Cos: -0.21224547922611237
Norm Quadratic Average: 10.093307495117188
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.011149406433105
Intra Cos: 0.7597431540489197
Inter Cos: -0.219521626830101
Norm Quadratic Average: 10.150583267211914
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 4.437062740325928
Intra Cos: 0.7474998235702515
Inter Cos: -0.20575585961341858
Norm Quadratic Average: 5.998361110687256
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9320217370986938
Inter Cos: -0.19210420548915863
Norm Quadratic Average: 10.85798168182373
Nearest Class Center Accuracy: 1.0

