Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.372586250305176
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
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: 8.274728775024414
Linear Weight Rank: 179
Intra Cos: 0.031418513506650925
Inter Cos: -0.0036905293818563223
Norm Quadratic Average: 4.9494829177856445
Nearest Class Center Accuracy: 0.601375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.25987434387207
Linear Weight Rank: 179
Intra Cos: 0.0703798234462738
Inter Cos: -0.011338363401591778
Norm Quadratic Average: 2.533034324645996
Nearest Class Center Accuracy: 0.672125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.287895202636719
Linear Weight Rank: 180
Intra Cos: 0.17527933418750763
Inter Cos: -0.02901187725365162
Norm Quadratic Average: 1.9250930547714233
Nearest Class Center Accuracy: 0.712375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.273146629333496
Linear Weight Rank: 179
Intra Cos: 0.2522567808628082
Inter Cos: -0.06020307540893555
Norm Quadratic Average: 2.159336805343628
Nearest Class Center Accuracy: 0.728625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.587441921234131
Linear Weight Rank: 4
Intra Cos: 0.2910727560520172
Inter Cos: -0.05233176425099373
Norm Quadratic Average: 2.7524983882904053
Nearest Class Center Accuracy: 0.7395

Output Layer:
Intra Cos: 0.3295237720012665
Inter Cos: -0.020432675257325172
Norm Quadratic Average: 3.7163519859313965
Nearest Class Center Accuracy: 0.733875

Test Set:
Average Loss: 0.6896620922088623
Accuracy: 0.7115
NC1 Within Class Collapse: 5.5412421226501465
NC2 Equinorm: Features: 0.1506454348564148, Weights: 0.03265173360705376
NC2 Equiangle: Features: 0.18958465258280435, Weights: 0.07127869129180908
NC3 Self-Duality: 0.17423216998577118
NC4 NCC Mismatch: 0.08399999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.372586250305176
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
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: 8.274728775024414
Linear Weight Rank: 179
Intra Cos: 0.02803189493715763
Inter Cos: -0.0033814634662121534
Norm Quadratic Average: 4.95250129699707
Nearest Class Center Accuracy: 0.604

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.25987434387207
Linear Weight Rank: 179
Intra Cos: 0.06303288042545319
Inter Cos: -0.005584432743489742
Norm Quadratic Average: 2.533437728881836
Nearest Class Center Accuracy: 0.6565

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.287895202636719
Linear Weight Rank: 180
Intra Cos: 0.1617009937763214
Inter Cos: -0.009284842759370804
Norm Quadratic Average: 1.9236184358596802
Nearest Class Center Accuracy: 0.6895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.273146629333496
Linear Weight Rank: 179
Intra Cos: 0.2325097769498825
Inter Cos: -0.02791202999651432
Norm Quadratic Average: 2.1532130241394043
Nearest Class Center Accuracy: 0.697

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.587441921234131
Linear Weight Rank: 4
Intra Cos: 0.2665242850780487
Inter Cos: -0.044882237911224365
Norm Quadratic Average: 2.740356683731079
Nearest Class Center Accuracy: 0.702

Output Layer:
Intra Cos: 0.2983117997646332
Inter Cos: -0.028996748849749565
Norm Quadratic Average: 3.6974427700042725
Nearest Class Center Accuracy: 0.704

