Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.053500175476074
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.062254905700684
Linear Weight Rank: 179
Intra Cos: 0.012760777957737446
Inter Cos: 0.005189473275095224
Norm Quadratic Average: 3.0054097175598145
Nearest Class Center Accuracy: 0.45

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.074307918548584
Linear Weight Rank: 179
Intra Cos: 0.009310415014624596
Inter Cos: 0.0025261593982577324
Norm Quadratic Average: 0.6555268168449402
Nearest Class Center Accuracy: 0.440375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.03789758682251
Linear Weight Rank: 179
Intra Cos: 0.00863606296479702
Inter Cos: 0.0008995204116217792
Norm Quadratic Average: 0.1508423089981079
Nearest Class Center Accuracy: 0.419375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043724060058594
Linear Weight Rank: 180
Intra Cos: 0.009297923184931278
Inter Cos: 0.0014832033775746822
Norm Quadratic Average: 0.03861582279205322
Nearest Class Center Accuracy: 0.42375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.057143211364746
Linear Weight Rank: 179
Intra Cos: 0.010204913094639778
Inter Cos: 0.0021050027571618557
Norm Quadratic Average: 0.00945268850773573
Nearest Class Center Accuracy: 0.416875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.044071197509766
Linear Weight Rank: 180
Intra Cos: 0.010207222774624825
Inter Cos: 0.00438380241394043
Norm Quadratic Average: 0.002261258428916335
Nearest Class Center Accuracy: 0.39725

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.040820121765137
Linear Weight Rank: 179
Intra Cos: 0.009708731435239315
Inter Cos: 0.0049688913859426975
Norm Quadratic Average: 0.000599171151407063
Nearest Class Center Accuracy: 0.385

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7423351407051086
Linear Weight Rank: 4
Intra Cos: 0.009886051528155804
Inter Cos: 0.003177618607878685
Norm Quadratic Average: 0.00014958152314648032
Nearest Class Center Accuracy: 0.38825

Output Layer:
Intra Cos: 0.010668112896382809
Inter Cos: 0.0185062475502491
Norm Quadratic Average: 8.312398676935118e-06
Nearest Class Center Accuracy: 0.331125

Test Set:
Average Loss: 1.3837281494140625
Accuracy: 0.2695
NC1 Within Class Collapse: 71.81501770019531
NC2 Equinorm: Features: 0.1506316363811493, Weights: 0.02000490017235279
NC2 Equiangle: Features: 0.2839285135269165, Weights: 0.3445595105489095
NC3 Self-Duality: 1.8440407514572144
NC4 NCC Mismatch: 0.7415

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.053500175476074
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.062254905700684
Linear Weight Rank: 179
Intra Cos: 0.014096707105636597
Inter Cos: 0.005460473243147135
Norm Quadratic Average: 2.9962899684906006
Nearest Class Center Accuracy: 0.461

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.074307918548584
Linear Weight Rank: 179
Intra Cos: 0.009783397428691387
Inter Cos: 0.0028051871340721846
Norm Quadratic Average: 0.6556340456008911
Nearest Class Center Accuracy: 0.4415

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.03789758682251
Linear Weight Rank: 179
Intra Cos: 0.008725453168153763
Inter Cos: 0.0017891693860292435
Norm Quadratic Average: 0.1509121209383011
Nearest Class Center Accuracy: 0.415

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043724060058594
Linear Weight Rank: 180
Intra Cos: 0.00942104123532772
Inter Cos: 0.004822182469069958
Norm Quadratic Average: 0.038623809814453125
Nearest Class Center Accuracy: 0.4205

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.057143211364746
Linear Weight Rank: 179
Intra Cos: 0.009919866919517517
Inter Cos: 0.0053931958973407745
Norm Quadratic Average: 0.009451196528971195
Nearest Class Center Accuracy: 0.4155

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.044071197509766
Linear Weight Rank: 180
Intra Cos: 0.009095720015466213
Inter Cos: 0.008578158915042877
Norm Quadratic Average: 0.002264027250930667
Nearest Class Center Accuracy: 0.392

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.040820121765137
Linear Weight Rank: 179
Intra Cos: 0.008467335253953934
Inter Cos: 0.009735273197293282
Norm Quadratic Average: 0.0006021462031640112
Nearest Class Center Accuracy: 0.374

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7423351407051086
Linear Weight Rank: 4
Intra Cos: 0.009265657514333725
Inter Cos: 0.008364373818039894
Norm Quadratic Average: 0.0001506677217548713
Nearest Class Center Accuracy: 0.3805

Output Layer:
Intra Cos: 0.0038092960603535175
Inter Cos: 0.017482537776231766
Norm Quadratic Average: 8.499816431140061e-06
Nearest Class Center Accuracy: 0.335

