Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_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: 5.105916500091553
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.053590774536133
Linear Weight Rank: 180
Intra Cos: 0.012686124071478844
Inter Cos: 0.006194674409925938
Norm Quadratic Average: 3.0505733489990234
Nearest Class Center Accuracy: 0.45125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.049111366271973
Linear Weight Rank: 179
Intra Cos: 0.014177587814629078
Inter Cos: 0.023567434400320053
Norm Quadratic Average: 0.7612937092781067
Nearest Class Center Accuracy: 0.42775

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.082454681396484
Linear Weight Rank: 179
Intra Cos: 0.018916098400950432
Inter Cos: 0.05210070312023163
Norm Quadratic Average: 0.22807519137859344
Nearest Class Center Accuracy: 0.405625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.059680938720703
Linear Weight Rank: 179
Intra Cos: 0.023436207324266434
Inter Cos: 0.08612443506717682
Norm Quadratic Average: 0.08603552728891373
Nearest Class Center Accuracy: 0.385125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8329678177833557
Linear Weight Rank: 4
Intra Cos: 0.02346928045153618
Inter Cos: 0.11447416245937347
Norm Quadratic Average: 0.04118556156754494
Nearest Class Center Accuracy: 0.37125

Output Layer:
Intra Cos: 0.02171310782432556
Inter Cos: 0.1285051703453064
Norm Quadratic Average: 0.017030002549290657
Nearest Class Center Accuracy: 0.366125

Test Set:
Average Loss: 1.3802729568481444
Accuracy: 0.274
NC1 Within Class Collapse: 33.78546905517578
NC2 Equinorm: Features: 0.4270109236240387, Weights: 0.103672556579113
NC2 Equiangle: Features: 0.8626290162404379, Weights: 0.2639828125635783
NC3 Self-Duality: 0.9318971037864685
NC4 NCC Mismatch: 0.659

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.105916500091553
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
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: 5.053590774536133
Linear Weight Rank: 180
Intra Cos: 0.011818064376711845
Inter Cos: 0.005727110896259546
Norm Quadratic Average: 3.0365726947784424
Nearest Class Center Accuracy: 0.4515

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.049111366271973
Linear Weight Rank: 179
Intra Cos: 0.011724880896508694
Inter Cos: 0.023491686210036278
Norm Quadratic Average: 0.7562220692634583
Nearest Class Center Accuracy: 0.4455

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.082454681396484
Linear Weight Rank: 179
Intra Cos: 0.014051319099962711
Inter Cos: 0.05344239994883537
Norm Quadratic Average: 0.22735951840877533
Nearest Class Center Accuracy: 0.408

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.059680938720703
Linear Weight Rank: 179
Intra Cos: 0.017201129347085953
Inter Cos: 0.08846471458673477
Norm Quadratic Average: 0.0855046808719635
Nearest Class Center Accuracy: 0.385

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8329678177833557
Linear Weight Rank: 4
Intra Cos: 0.017007119953632355
Inter Cos: 0.11896390467882156
Norm Quadratic Average: 0.040882647037506104
Nearest Class Center Accuracy: 0.369

Output Layer:
Intra Cos: 0.016494326293468475
Inter Cos: 0.13332337141036987
Norm Quadratic Average: 0.016901865601539612
Nearest Class Center Accuracy: 0.3635

