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_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.891643524169922
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789486885070801
Linear Weight Rank: 179
Intra Cos: 0.028660142794251442
Inter Cos: -0.0039771259762346745
Norm Quadratic Average: 4.627006530761719
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771569728851318
Linear Weight Rank: 179
Intra Cos: 0.02609935775399208
Inter Cos: -0.0034567557740956545
Norm Quadratic Average: 1.6646020412445068
Nearest Class Center Accuracy: 0.537625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.795596599578857
Linear Weight Rank: 180
Intra Cos: 0.022474536672234535
Inter Cos: -0.0025619228836148977
Norm Quadratic Average: 0.601861298084259
Nearest Class Center Accuracy: 0.52975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768560886383057
Linear Weight Rank: 180
Intra Cos: 0.02259260043501854
Inter Cos: 0.0003639088536147028
Norm Quadratic Average: 0.22211262583732605
Nearest Class Center Accuracy: 0.513125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789376735687256
Linear Weight Rank: 180
Intra Cos: 0.024502629414200783
Inter Cos: -0.00033690131385810673
Norm Quadratic Average: 0.0860448107123375
Nearest Class Center Accuracy: 0.510125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769615650177002
Linear Weight Rank: 180
Intra Cos: 0.02295411378145218
Inter Cos: 0.0010775255504995584
Norm Quadratic Average: 0.03205055370926857
Nearest Class Center Accuracy: 0.4975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768697261810303
Linear Weight Rank: 180
Intra Cos: 0.023284219205379486
Inter Cos: 0.00500422203913331
Norm Quadratic Average: 0.011420676484704018
Nearest Class Center Accuracy: 0.477125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1102579832077026
Linear Weight Rank: 4
Intra Cos: 0.024904146790504456
Inter Cos: 0.0058641633950173855
Norm Quadratic Average: 0.004615376703441143
Nearest Class Center Accuracy: 0.467375

Output Layer:
Intra Cos: 0.03956780955195427
Inter Cos: 0.013884779065847397
Norm Quadratic Average: 0.00040471277316100895
Nearest Class Center Accuracy: 0.407875

Test Set:
Average Loss: 1.3867076034545898
Accuracy: 0.255
NC1 Within Class Collapse: 22.116405487060547
NC2 Equinorm: Features: 0.10639731585979462, Weights: 0.05576331913471222
NC2 Equiangle: Features: 0.2747305631637573, Weights: 0.3191495140393575
NC3 Self-Duality: 1.6799249649047852
NC4 NCC Mismatch: 0.739

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.891643524169922
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789486885070801
Linear Weight Rank: 179
Intra Cos: 0.025958165526390076
Inter Cos: -0.0036920136772096157
Norm Quadratic Average: 4.633668899536133
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771569728851318
Linear Weight Rank: 179
Intra Cos: 0.023791922256350517
Inter Cos: -0.0031177541241049767
Norm Quadratic Average: 1.666028380393982
Nearest Class Center Accuracy: 0.552

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.795596599578857
Linear Weight Rank: 180
Intra Cos: 0.019351953640580177
Inter Cos: -0.0014199167490005493
Norm Quadratic Average: 0.6027241945266724
Nearest Class Center Accuracy: 0.543

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768560886383057
Linear Weight Rank: 180
Intra Cos: 0.019913654774427414
Inter Cos: 0.001382910879328847
Norm Quadratic Average: 0.22195930778980255
Nearest Class Center Accuracy: 0.5205

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789376735687256
Linear Weight Rank: 180
Intra Cos: 0.020654965192079544
Inter Cos: 0.0009748298325575888
Norm Quadratic Average: 0.08612476289272308
Nearest Class Center Accuracy: 0.5055

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769615650177002
Linear Weight Rank: 180
Intra Cos: 0.020182529464364052
Inter Cos: 7.581915269838646e-05
Norm Quadratic Average: 0.032114751636981964
Nearest Class Center Accuracy: 0.4945

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768697261810303
Linear Weight Rank: 180
Intra Cos: 0.01824287883937359
Inter Cos: 0.0038742986507713795
Norm Quadratic Average: 0.011433260515332222
Nearest Class Center Accuracy: 0.465

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1102579832077026
Linear Weight Rank: 4
Intra Cos: 0.02073938027024269
Inter Cos: 0.0035554366186261177
Norm Quadratic Average: 0.004623635672032833
Nearest Class Center Accuracy: 0.4635

Output Layer:
Intra Cos: 0.028771989047527313
Inter Cos: 0.014634980820119381
Norm Quadratic Average: 0.0004030665149912238
Nearest Class Center Accuracy: 0.422

