Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.26917839050293
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
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: 8.323917388916016
Linear Weight Rank: 180
Intra Cos: 0.02893364243209362
Inter Cos: -0.004934117663651705
Norm Quadratic Average: 14.048785209655762
Nearest Class Center Accuracy: 0.590875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.247050285339355
Linear Weight Rank: 180
Intra Cos: 0.032255951315164566
Inter Cos: -0.006457239855080843
Norm Quadratic Average: 14.019073486328125
Nearest Class Center Accuracy: 0.623625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.228469848632812
Linear Weight Rank: 180
Intra Cos: 0.03592250123620033
Inter Cos: -0.00876724161207676
Norm Quadratic Average: 13.988544464111328
Nearest Class Center Accuracy: 0.6885

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.169511795043945
Linear Weight Rank: 180
Intra Cos: 0.046948421746492386
Inter Cos: -0.007834793999791145
Norm Quadratic Average: 13.943766593933105
Nearest Class Center Accuracy: 0.773625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.165335655212402
Linear Weight Rank: 180
Intra Cos: 0.05857222154736519
Inter Cos: -0.011740821413695812
Norm Quadratic Average: 13.964631080627441
Nearest Class Center Accuracy: 0.87

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.127681732177734
Linear Weight Rank: 180
Intra Cos: 0.08966565877199173
Inter Cos: -0.020028389990329742
Norm Quadratic Average: 13.946321487426758
Nearest Class Center Accuracy: 0.966375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.118470191955566
Linear Weight Rank: 180
Intra Cos: 0.16595035791397095
Inter Cos: -0.04331039637327194
Norm Quadratic Average: 13.967937469482422
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.381364107131958
Linear Weight Rank: 4
Intra Cos: 0.35813450813293457
Inter Cos: -0.09004462510347366
Norm Quadratic Average: 14.176813125610352
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.917279064655304
Inter Cos: -0.23476843535900116
Norm Quadratic Average: 11.443360328674316
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3947964134216309
Accuracy: 0.693
NC1 Within Class Collapse: 4.047272682189941
NC2 Equinorm: Features: 0.09356559067964554, Weights: 0.04410988464951515
NC2 Equiangle: Features: 0.08651755253473918, Weights: 0.07586807012557983
NC3 Self-Duality: 0.20458093285560608
NC4 NCC Mismatch: 0.02949999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.26917839050293
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
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: 8.323917388916016
Linear Weight Rank: 180
Intra Cos: 0.026523150503635406
Inter Cos: -0.004758108872920275
Norm Quadratic Average: 14.061464309692383
Nearest Class Center Accuracy: 0.594

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.247050285339355
Linear Weight Rank: 180
Intra Cos: 0.02829183265566826
Inter Cos: -0.006248958874493837
Norm Quadratic Average: 14.01339054107666
Nearest Class Center Accuracy: 0.625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.228469848632812
Linear Weight Rank: 180
Intra Cos: 0.029719997197389603
Inter Cos: -0.007113853469491005
Norm Quadratic Average: 13.965211868286133
Nearest Class Center Accuracy: 0.6615

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.169511795043945
Linear Weight Rank: 180
Intra Cos: 0.033634137362241745
Inter Cos: -0.0048042177222669125
Norm Quadratic Average: 13.863734245300293
Nearest Class Center Accuracy: 0.6835

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.165335655212402
Linear Weight Rank: 180
Intra Cos: 0.03667551651597023
Inter Cos: -0.004932665266096592
Norm Quadratic Average: 13.850425720214844
Nearest Class Center Accuracy: 0.6965

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.127681732177734
Linear Weight Rank: 180
Intra Cos: 0.04542900621891022
Inter Cos: -0.006306168157607317
Norm Quadratic Average: 13.695963859558105
Nearest Class Center Accuracy: 0.699

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.118470191955566
Linear Weight Rank: 180
Intra Cos: 0.06597074866294861
Inter Cos: -0.009015345014631748
Norm Quadratic Average: 13.481680870056152
Nearest Class Center Accuracy: 0.7

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.381364107131958
Linear Weight Rank: 4
Intra Cos: 0.1216033324599266
Inter Cos: -0.025788815692067146
Norm Quadratic Average: 13.151220321655273
Nearest Class Center Accuracy: 0.6985

Output Layer:
Intra Cos: 0.36464691162109375
Inter Cos: -0.08442563563585281
Norm Quadratic Average: 9.689534187316895
Nearest Class Center Accuracy: 0.7005

