Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_W20_model_depth_MLP_6_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.3472261428833
Intra Cos: 0.01772155612707138
Inter Cos: 0.003871648106724024
Norm Quadratic Average: 3.985689163208008
Nearest Class Center Accuracy: 0.467125

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.985562324523926
Intra Cos: 0.014934581704437733
Inter Cos: 0.0021189372055232525
Norm Quadratic Average: 3.846123695373535
Nearest Class Center Accuracy: 0.52125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.844950675964355
Intra Cos: 0.01943243108689785
Inter Cos: -7.041446951916441e-05
Norm Quadratic Average: 3.6936991214752197
Nearest Class Center Accuracy: 0.62325

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.675870895385742
Intra Cos: 0.043016426265239716
Inter Cos: -0.0057506556622684
Norm Quadratic Average: 3.1029911041259766
Nearest Class Center Accuracy: 0.874625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.907374620437622
Intra Cos: 0.14438846707344055
Inter Cos: -0.03441377356648445
Norm Quadratic Average: 2.2970449924468994
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 4.058993339538574
Intra Cos: 0.7770670056343079
Inter Cos: -0.2299649566411972
Norm Quadratic Average: 4.095335483551025
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9477087259292603
Inter Cos: -0.27783748507499695
Norm Quadratic Average: 8.63674545288086
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.6246031799316407
Accuracy: 0.6365
NC1 Within Class Collapse: 5.782223701477051
NC2 Equinorm: Features: 0.061413221061229706, Weights: 0.022579876706004143
NC2 Equiangle: Features: 0.11738691727320354, Weights: 0.016656527916590374
NC3 Self-Duality: 0.04054608568549156
NC4 NCC Mismatch: 0.023499999999999965

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.3472261428833
Intra Cos: 0.018952203914523125
Inter Cos: 0.002929567126557231
Norm Quadratic Average: 3.981503963470459
Nearest Class Center Accuracy: 0.489

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.985562324523926
Intra Cos: 0.014635042287409306
Inter Cos: 0.0006818010006099939
Norm Quadratic Average: 3.845787525177002
Nearest Class Center Accuracy: 0.528

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.844950675964355
Intra Cos: 0.01445887889713049
Inter Cos: -0.000698678195476532
Norm Quadratic Average: 3.6707379817962646
Nearest Class Center Accuracy: 0.575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.675870895385742
Intra Cos: 0.019684549421072006
Inter Cos: 0.0005394250620156527
Norm Quadratic Average: 3.0291924476623535
Nearest Class Center Accuracy: 0.6345

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.907374620437622
Intra Cos: 0.04414813593029976
Inter Cos: 0.0035829388070851564
Norm Quadratic Average: 2.0886194705963135
Nearest Class Center Accuracy: 0.6455

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 4.058993339538574
Intra Cos: 0.21136122941970825
Inter Cos: -0.030036229640245438
Norm Quadratic Average: 3.4576783180236816
Nearest Class Center Accuracy: 0.64

Output Layer:
Intra Cos: 0.2691553235054016
Inter Cos: -0.035577014088630676
Norm Quadratic Average: 7.10500431060791
Nearest Class Center Accuracy: 0.637

