Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_conic_model_depth_MLP_12_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.595133304595947
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584884772077203
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.3170976638793945
Intra Cos: 0.27670833468437195
Inter Cos: 0.01900973729789257
Norm Quadratic Average: 2.138638973236084
Nearest Class Center Accuracy: 0.93725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.210545301437378
Intra Cos: 0.36971917748451233
Inter Cos: -0.030934792011976242
Norm Quadratic Average: 1.4715067148208618
Nearest Class Center Accuracy: 0.9985

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4402755498886108
Intra Cos: 0.8362913727760315
Inter Cos: 0.017876900732517242
Norm Quadratic Average: 0.9646326303482056
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.177213191986084
Intra Cos: 0.9806302785873413
Inter Cos: -0.04305411875247955
Norm Quadratic Average: 0.7290166020393372
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1101253032684326
Intra Cos: 0.9856655597686768
Inter Cos: 0.04583912715315819
Norm Quadratic Average: 0.6550993323326111
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1705302000045776
Intra Cos: 0.9847549200057983
Inter Cos: 0.1298467367887497
Norm Quadratic Average: 0.6970486044883728
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2699261903762817
Intra Cos: 0.9877771735191345
Inter Cos: 0.11741796880960464
Norm Quadratic Average: 0.7451074123382568
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3737839460372925
Intra Cos: 0.9875924587249756
Inter Cos: 0.041451092809438705
Norm Quadratic Average: 0.7225720286369324
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5348399877548218
Intra Cos: 0.9893515110015869
Inter Cos: -0.04811989143490791
Norm Quadratic Average: 0.8050244450569153
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7920857667922974
Intra Cos: 0.984754741191864
Inter Cos: -0.12687011063098907
Norm Quadratic Average: 0.9830824732780457
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.671462059020996
Intra Cos: 0.9831259250640869
Inter Cos: -0.2358974665403366
Norm Quadratic Average: 3.3737337589263916
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9923347234725952
Inter Cos: -0.1346481293439865
Norm Quadratic Average: 6.9003753662109375
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.07435580876469612
Accuracy: 0.979
NC1 Within Class Collapse: 0.15143144130706787
NC2 Equinorm: Features: 0.0245844516903162, Weights: 0.013739539310336113
NC2 Equiangle: Features: 0.10855422417322795, Weights: 0.10078092416127522
NC3 Self-Duality: 0.08967351913452148
NC4 NCC Mismatch: 0.0004999999999999449

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.595133304595947
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312902059406042
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.3170976638793945
Intra Cos: 0.27284905314445496
Inter Cos: 0.030216677114367485
Norm Quadratic Average: 2.1519429683685303
Nearest Class Center Accuracy: 0.933

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.210545301437378
Intra Cos: 0.3505987226963043
Inter Cos: -0.032878976315259933
Norm Quadratic Average: 1.4457511901855469
Nearest Class Center Accuracy: 0.982

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4402755498886108
Intra Cos: 0.8049153089523315
Inter Cos: 0.023646138608455658
Norm Quadratic Average: 0.941450834274292
Nearest Class Center Accuracy: 0.9785

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.177213191986084
Intra Cos: 0.9184590578079224
Inter Cos: -0.02813822031021118
Norm Quadratic Average: 0.7192709445953369
Nearest Class Center Accuracy: 0.98

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1101253032684326
Intra Cos: 0.9218258261680603
Inter Cos: 0.056626711040735245
Norm Quadratic Average: 0.6474013328552246
Nearest Class Center Accuracy: 0.9795

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1705302000045776
Intra Cos: 0.9260453581809998
Inter Cos: 0.1528574377298355
Norm Quadratic Average: 0.6910499334335327
Nearest Class Center Accuracy: 0.9795

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2699261903762817
Intra Cos: 0.9333696365356445
Inter Cos: 0.14499254524707794
Norm Quadratic Average: 0.7401403784751892
Nearest Class Center Accuracy: 0.9795

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3737839460372925
Intra Cos: 0.932449460029602
Inter Cos: 0.07761777192354202
Norm Quadratic Average: 0.7182091474533081
Nearest Class Center Accuracy: 0.9795

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5348399877548218
Intra Cos: 0.9350001811981201
Inter Cos: -0.01191774383187294
Norm Quadratic Average: 0.7995741963386536
Nearest Class Center Accuracy: 0.9795

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7920857667922974
Intra Cos: 0.9279801845550537
Inter Cos: -0.0911172553896904
Norm Quadratic Average: 0.9745827317237854
Nearest Class Center Accuracy: 0.98

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.671462059020996
Intra Cos: 0.9207550883293152
Inter Cos: -0.21162773668766022
Norm Quadratic Average: 3.3468499183654785
Nearest Class Center Accuracy: 0.9795

Output Layer:
Intra Cos: 0.9375696182250977
Inter Cos: -0.11950228363275528
Norm Quadratic Average: 6.829814910888672
Nearest Class Center Accuracy: 0.979

