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_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.128445148468018
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: 7.05335807800293
Linear Weight Rank: 180
Intra Cos: 0.023461904376745224
Inter Cos: -0.004870368633419275
Norm Quadratic Average: 4.257266998291016
Nearest Class Center Accuracy: 0.564875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.046578407287598
Linear Weight Rank: 180
Intra Cos: 0.022119568660855293
Inter Cos: -0.0028138463385403156
Norm Quadratic Average: 1.3418922424316406
Nearest Class Center Accuracy: 0.531375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.093008518218994
Linear Weight Rank: 179
Intra Cos: 0.017722198739647865
Inter Cos: -0.0028056849259883165
Norm Quadratic Average: 0.43371137976646423
Nearest Class Center Accuracy: 0.507125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060301303863525
Linear Weight Rank: 180
Intra Cos: 0.015608996152877808
Inter Cos: -0.0006154156872071326
Norm Quadratic Average: 0.14553219079971313
Nearest Class Center Accuracy: 0.489375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.065308570861816
Linear Weight Rank: 180
Intra Cos: 0.012861235998570919
Inter Cos: -0.0019307439215481281
Norm Quadratic Average: 0.05121352896094322
Nearest Class Center Accuracy: 0.457125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.093044757843018
Linear Weight Rank: 180
Intra Cos: 0.014178303070366383
Inter Cos: 0.0026847405824810266
Norm Quadratic Average: 0.018652988597750664
Nearest Class Center Accuracy: 0.4355

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.074955940246582
Linear Weight Rank: 179
Intra Cos: 0.01824588142335415
Inter Cos: 0.002188062062487006
Norm Quadratic Average: 0.006757127586752176
Nearest Class Center Accuracy: 0.428

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0406725406646729
Linear Weight Rank: 4
Intra Cos: 0.015683887526392937
Inter Cos: 0.0027328450232744217
Norm Quadratic Average: 0.0023442620877176523
Nearest Class Center Accuracy: 0.41625

Output Layer:
Intra Cos: 0.027450259774923325
Inter Cos: 0.021044615656137466
Norm Quadratic Average: 0.00020396796753630042
Nearest Class Center Accuracy: 0.363375

Test Set:
Average Loss: 1.3867018432617189
Accuracy: 0.255
NC1 Within Class Collapse: 31.642011642456055
NC2 Equinorm: Features: 0.26857784390449524, Weights: 0.023895736783742905
NC2 Equiangle: Features: 0.17972000439961752, Weights: 0.29297999540964764
NC3 Self-Duality: 1.6663234233856201
NC4 NCC Mismatch: 0.806

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.128445148468018
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: 7.05335807800293
Linear Weight Rank: 180
Intra Cos: 0.022197935730218887
Inter Cos: -0.0042656403966248035
Norm Quadratic Average: 4.247106552124023
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.046578407287598
Linear Weight Rank: 180
Intra Cos: 0.021183814853429794
Inter Cos: -0.003841858822852373
Norm Quadratic Average: 1.334381341934204
Nearest Class Center Accuracy: 0.5375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.093008518218994
Linear Weight Rank: 179
Intra Cos: 0.016444658860564232
Inter Cos: -0.0016136019257828593
Norm Quadratic Average: 0.43104153871536255
Nearest Class Center Accuracy: 0.502

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060301303863525
Linear Weight Rank: 180
Intra Cos: 0.01429427694529295
Inter Cos: -0.0013687191531062126
Norm Quadratic Average: 0.1441984325647354
Nearest Class Center Accuracy: 0.5055

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.065308570861816
Linear Weight Rank: 180
Intra Cos: 0.01122613437473774
Inter Cos: -0.000942928483709693
Norm Quadratic Average: 0.05070435628294945
Nearest Class Center Accuracy: 0.4635

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.093044757843018
Linear Weight Rank: 180
Intra Cos: 0.011609344743192196
Inter Cos: -5.837482967763208e-05
Norm Quadratic Average: 0.01844441331923008
Nearest Class Center Accuracy: 0.4335

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.074955940246582
Linear Weight Rank: 179
Intra Cos: 0.01570785976946354
Inter Cos: 8.254987915279344e-05
Norm Quadratic Average: 0.006666892673820257
Nearest Class Center Accuracy: 0.418

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0406725406646729
Linear Weight Rank: 4
Intra Cos: 0.013031614944338799
Inter Cos: -0.0001609390164958313
Norm Quadratic Average: 0.0023224258329719305
Nearest Class Center Accuracy: 0.414

Output Layer:
Intra Cos: 0.02295587584376335
Inter Cos: 0.013613228686153889
Norm Quadratic Average: 0.00020193870295770466
Nearest Class Center Accuracy: 0.3585

