Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_338327_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.045086145401001
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.298933506011963
Linear Weight Rank: 180
Intra Cos: 0.10642348229885101
Inter Cos: 0.004135875031352043
Norm Quadratic Average: 3.3358662128448486
Nearest Class Center Accuracy: 0.92175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.176030158996582
Linear Weight Rank: 179
Intra Cos: 0.15750782191753387
Inter Cos: 0.00033244723454117775
Norm Quadratic Average: 3.307271718978882
Nearest Class Center Accuracy: 0.9665

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.081420660018921
Linear Weight Rank: 179
Intra Cos: 0.19338738918304443
Inter Cos: -0.00382426381111145
Norm Quadratic Average: 3.2916195392608643
Nearest Class Center Accuracy: 0.991

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.014209270477295
Linear Weight Rank: 179
Intra Cos: 0.2567271292209625
Inter Cos: 0.004545390140265226
Norm Quadratic Average: 3.2746872901916504
Nearest Class Center Accuracy: 0.999

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9645897150039673
Linear Weight Rank: 179
Intra Cos: 0.38030487298965454
Inter Cos: -0.03536958619952202
Norm Quadratic Average: 3.2637951374053955
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9397728443145752
Linear Weight Rank: 179
Intra Cos: 0.5894356369972229
Inter Cos: -0.10553716868162155
Norm Quadratic Average: 3.257350444793701
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.936870813369751
Linear Weight Rank: 179
Intra Cos: 0.8286126852035522
Inter Cos: -0.17359964549541473
Norm Quadratic Average: 3.268266439437866
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8394455909729004
Linear Weight Rank: 4
Intra Cos: 0.9712821245193481
Inter Cos: -0.2937655746936798
Norm Quadratic Average: 3.770972728729248
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9980183243751526
Inter Cos: -0.27217671275138855
Norm Quadratic Average: 3.9270689487457275
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.20146572875976562
Accuracy: 0.9325
NC1 Within Class Collapse: 0.47374916076660156
NC2 Equinorm: Features: 0.005295282229781151, Weights: 0.030881769955158234
NC2 Equiangle: Features: 0.10510581731796265, Weights: 0.031954472263654075
NC3 Self-Duality: 0.025971107184886932
NC4 NCC Mismatch: 0.0034999999999999476

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.045086145401001
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.298933506011963
Linear Weight Rank: 180
Intra Cos: 0.10862814635038376
Inter Cos: 0.003828947665169835
Norm Quadratic Average: 3.337358236312866
Nearest Class Center Accuracy: 0.9115

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.176030158996582
Linear Weight Rank: 179
Intra Cos: 0.1532573699951172
Inter Cos: 0.006620130967348814
Norm Quadratic Average: 3.3029115200042725
Nearest Class Center Accuracy: 0.9375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.081420660018921
Linear Weight Rank: 179
Intra Cos: 0.17905940115451813
Inter Cos: 0.0010173637419939041
Norm Quadratic Average: 3.273297071456909
Nearest Class Center Accuracy: 0.9395

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.014209270477295
Linear Weight Rank: 179
Intra Cos: 0.2369609922170639
Inter Cos: 0.014339915476739407
Norm Quadratic Average: 3.2354729175567627
Nearest Class Center Accuracy: 0.9395

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9645897150039673
Linear Weight Rank: 179
Intra Cos: 0.3239552676677704
Inter Cos: -0.012452630326151848
Norm Quadratic Average: 3.1981513500213623
Nearest Class Center Accuracy: 0.936

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9397728443145752
Linear Weight Rank: 179
Intra Cos: 0.4888380765914917
Inter Cos: -0.059886444360017776
Norm Quadratic Average: 3.147803544998169
Nearest Class Center Accuracy: 0.9335

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.936870813369751
Linear Weight Rank: 179
Intra Cos: 0.66278076171875
Inter Cos: -0.09761667251586914
Norm Quadratic Average: 3.119572877883911
Nearest Class Center Accuracy: 0.935

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8394455909729004
Linear Weight Rank: 4
Intra Cos: 0.8037838935852051
Inter Cos: -0.1820128858089447
Norm Quadratic Average: 3.5341262817382812
Nearest Class Center Accuracy: 0.934

Output Layer:
Intra Cos: 0.838339626789093
Inter Cos: -0.16358129680156708
Norm Quadratic Average: 3.6609621047973633
Nearest Class Center Accuracy: 0.9345

