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_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.093389987945557
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: 5.039724826812744
Linear Weight Rank: 180
Intra Cos: 0.01223769597709179
Inter Cos: 0.005388017278164625
Norm Quadratic Average: 3.039214849472046
Nearest Class Center Accuracy: 0.450625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0348615646362305
Linear Weight Rank: 180
Intra Cos: 0.010547846555709839
Inter Cos: 0.0068544065579771996
Norm Quadratic Average: 0.6854639649391174
Nearest Class Center Accuracy: 0.43725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.068026065826416
Linear Weight Rank: 179
Intra Cos: 0.009525352157652378
Inter Cos: 0.006798575632274151
Norm Quadratic Average: 0.15943115949630737
Nearest Class Center Accuracy: 0.4165

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0446271896362305
Linear Weight Rank: 180
Intra Cos: 0.009720155037939548
Inter Cos: 0.005399524699896574
Norm Quadratic Average: 0.039236027747392654
Nearest Class Center Accuracy: 0.41075

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0482282638549805
Linear Weight Rank: 180
Intra Cos: 0.00872732512652874
Inter Cos: 0.0072594815865159035
Norm Quadratic Average: 0.009868779219686985
Nearest Class Center Accuracy: 0.404375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.068033695220947
Linear Weight Rank: 180
Intra Cos: 0.010004563257098198
Inter Cos: 0.006440639961510897
Norm Quadratic Average: 0.002483741380274296
Nearest Class Center Accuracy: 0.398625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.055199146270752
Linear Weight Rank: 179
Intra Cos: 0.011499376967549324
Inter Cos: 0.006465616170316935
Norm Quadratic Average: 0.0006548896199092269
Nearest Class Center Accuracy: 0.392

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7404869198799133
Linear Weight Rank: 4
Intra Cos: 0.010650274343788624
Inter Cos: 0.0033371951431035995
Norm Quadratic Average: 0.00015976611757650971
Nearest Class Center Accuracy: 0.387875

Output Layer:
Intra Cos: 0.008916097693145275
Inter Cos: 0.009275143966078758
Norm Quadratic Average: 7.965616532601416e-06
Nearest Class Center Accuracy: 0.313625

Test Set:
Average Loss: 1.3837148818969727
Accuracy: 0.2695
NC1 Within Class Collapse: 51.795654296875
NC2 Equinorm: Features: 0.11887843906879425, Weights: 0.018964670598506927
NC2 Equiangle: Features: 0.19110159079233804, Weights: 0.29496153195699054
NC3 Self-Duality: 1.9377169609069824
NC4 NCC Mismatch: 0.769

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.093389987945557
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: 5.039724826812744
Linear Weight Rank: 180
Intra Cos: 0.01171065866947174
Inter Cos: 0.004923268686980009
Norm Quadratic Average: 3.0254406929016113
Nearest Class Center Accuracy: 0.452

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0348615646362305
Linear Weight Rank: 180
Intra Cos: 0.009197501465678215
Inter Cos: 0.006495727691799402
Norm Quadratic Average: 0.680752694606781
Nearest Class Center Accuracy: 0.453

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.068026065826416
Linear Weight Rank: 179
Intra Cos: 0.007823430933058262
Inter Cos: 0.007184695918112993
Norm Quadratic Average: 0.15905854105949402
Nearest Class Center Accuracy: 0.432

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0446271896362305
Linear Weight Rank: 180
Intra Cos: 0.007942535914480686
Inter Cos: 0.005018431693315506
Norm Quadratic Average: 0.03909594565629959
Nearest Class Center Accuracy: 0.421

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0482282638549805
Linear Weight Rank: 180
Intra Cos: 0.007239907048642635
Inter Cos: 0.0070109739899635315
Norm Quadratic Average: 0.009872754104435444
Nearest Class Center Accuracy: 0.4135

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.068033695220947
Linear Weight Rank: 180
Intra Cos: 0.009798800572752953
Inter Cos: 0.006007264368236065
Norm Quadratic Average: 0.0024890766944736242
Nearest Class Center Accuracy: 0.412

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.055199146270752
Linear Weight Rank: 179
Intra Cos: 0.012922817841172218
Inter Cos: 0.0053995223715901375
Norm Quadratic Average: 0.0006553444545716047
Nearest Class Center Accuracy: 0.4005

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7404869198799133
Linear Weight Rank: 4
Intra Cos: 0.011700784787535667
Inter Cos: 0.002643968677148223
Norm Quadratic Average: 0.00015943305334076285
Nearest Class Center Accuracy: 0.391

Output Layer:
Intra Cos: 0.00958984810858965
Inter Cos: 0.012271293438971043
Norm Quadratic Average: 8.021181201911531e-06
Nearest Class Center Accuracy: 0.3155

