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_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.846282482147217
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763617992401123
Linear Weight Rank: 180
Intra Cos: 0.012242945842444897
Inter Cos: 0.005390195641666651
Norm Quadratic Average: 4.681889533996582
Nearest Class Center Accuracy: 0.450875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.756138801574707
Linear Weight Rank: 180
Intra Cos: 0.0107345599681139
Inter Cos: 0.0070542446337640285
Norm Quadratic Average: 1.6240330934524536
Nearest Class Center Accuracy: 0.435625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.807223796844482
Linear Weight Rank: 179
Intra Cos: 0.009164233691990376
Inter Cos: 0.006605538539588451
Norm Quadratic Average: 0.5774171948432922
Nearest Class Center Accuracy: 0.4155

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771174907684326
Linear Weight Rank: 180
Intra Cos: 0.009340396150946617
Inter Cos: 0.0030619825702160597
Norm Quadratic Average: 0.2085338830947876
Nearest Class Center Accuracy: 0.40225

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.776716709136963
Linear Weight Rank: 180
Intra Cos: 0.008340059779584408
Inter Cos: 0.004348847083747387
Norm Quadratic Average: 0.07997749000787735
Nearest Class Center Accuracy: 0.398

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.807188510894775
Linear Weight Rank: 180
Intra Cos: 0.010116785764694214
Inter Cos: 0.002137992298230529
Norm Quadratic Average: 0.031726911664009094
Nearest Class Center Accuracy: 0.38675

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7873430252075195
Linear Weight Rank: 179
Intra Cos: 0.009583757258951664
Inter Cos: 0.00019280955893918872
Norm Quadratic Average: 0.012892537750303745
Nearest Class Center Accuracy: 0.371875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1393684148788452
Linear Weight Rank: 4
Intra Cos: 0.008110225200653076
Inter Cos: 0.0010989939328283072
Norm Quadratic Average: 0.004972289782017469
Nearest Class Center Accuracy: 0.364875

Output Layer:
Intra Cos: 0.005216679535806179
Inter Cos: 0.008312116377055645
Norm Quadratic Average: 0.0004667158063966781
Nearest Class Center Accuracy: 0.338125

Test Set:
Average Loss: 1.383640594482422
Accuracy: 0.2695
NC1 Within Class Collapse: 54.952423095703125
NC2 Equinorm: Features: 0.253513365983963, Weights: 0.01974894478917122
NC2 Equiangle: Features: 0.17965630690256754, Weights: 0.29568348328272503
NC3 Self-Duality: 1.722427487373352
NC4 NCC Mismatch: 0.7735

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.846282482147217
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763617992401123
Linear Weight Rank: 180
Intra Cos: 0.011713380925357342
Inter Cos: 0.004926122259348631
Norm Quadratic Average: 4.660662651062012
Nearest Class Center Accuracy: 0.452

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.756138801574707
Linear Weight Rank: 180
Intra Cos: 0.009407667443156242
Inter Cos: 0.006856856867671013
Norm Quadratic Average: 1.6127212047576904
Nearest Class Center Accuracy: 0.4485

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.807223796844482
Linear Weight Rank: 179
Intra Cos: 0.006921166554093361
Inter Cos: 0.00757497688755393
Norm Quadratic Average: 0.5759462714195251
Nearest Class Center Accuracy: 0.424

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771174907684326
Linear Weight Rank: 180
Intra Cos: 0.006596940569579601
Inter Cos: 0.003550863591954112
Norm Quadratic Average: 0.20751188695430756
Nearest Class Center Accuracy: 0.4105

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.776716709136963
Linear Weight Rank: 180
Intra Cos: 0.0063784923404455185
Inter Cos: 0.0049526686780154705
Norm Quadratic Average: 0.07978726178407669
Nearest Class Center Accuracy: 0.417

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.807188510894775
Linear Weight Rank: 180
Intra Cos: 0.00952060241252184
Inter Cos: 0.0012101068859919906
Norm Quadratic Average: 0.031684741377830505
Nearest Class Center Accuracy: 0.4005

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7873430252075195
Linear Weight Rank: 179
Intra Cos: 0.01147530134767294
Inter Cos: -0.0004931325674988329
Norm Quadratic Average: 0.012871530838310719
Nearest Class Center Accuracy: 0.387

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1393684148788452
Linear Weight Rank: 4
Intra Cos: 0.009617548435926437
Inter Cos: 0.0023045057896524668
Norm Quadratic Average: 0.004964746069163084
Nearest Class Center Accuracy: 0.376

Output Layer:
Intra Cos: 0.008314769715070724
Inter Cos: 0.011773994192481041
Norm Quadratic Average: 0.00046393691445700824
Nearest Class Center Accuracy: 0.342

