Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.785024166107178
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.798501491546631
Linear Weight Rank: 179
Intra Cos: 0.023642096668481827
Inter Cos: -0.0025734826922416687
Norm Quadratic Average: 4.628253936767578
Nearest Class Center Accuracy: 0.568375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.817070484161377
Linear Weight Rank: 179
Intra Cos: 0.0172077976167202
Inter Cos: -0.0005925201694481075
Norm Quadratic Average: 1.56266450881958
Nearest Class Center Accuracy: 0.5365

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.761056900024414
Linear Weight Rank: 179
Intra Cos: 0.014223475940525532
Inter Cos: 0.002478816779330373
Norm Quadratic Average: 0.5515484809875488
Nearest Class Center Accuracy: 0.494375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769942760467529
Linear Weight Rank: 180
Intra Cos: 0.016439147293567657
Inter Cos: 0.006133110262453556
Norm Quadratic Average: 0.20414867997169495
Nearest Class Center Accuracy: 0.489

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.790714740753174
Linear Weight Rank: 179
Intra Cos: 0.015614282339811325
Inter Cos: 0.004867753479629755
Norm Quadratic Average: 0.07889809459447861
Nearest Class Center Accuracy: 0.475

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.770589351654053
Linear Weight Rank: 180
Intra Cos: 0.01664132811129093
Inter Cos: 0.006391968112438917
Norm Quadratic Average: 0.02879962883889675
Nearest Class Center Accuracy: 0.453

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.765247344970703
Linear Weight Rank: 179
Intra Cos: 0.01590714417397976
Inter Cos: 0.009616157039999962
Norm Quadratic Average: 0.011718901805579662
Nearest Class Center Accuracy: 0.43825

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1431041955947876
Linear Weight Rank: 4
Intra Cos: 0.015581602230668068
Inter Cos: 0.01101346779614687
Norm Quadratic Average: 0.004677662625908852
Nearest Class Center Accuracy: 0.43325

Output Layer:
Intra Cos: 0.028475435450673103
Inter Cos: 0.027541637420654297
Norm Quadratic Average: 0.000502510869409889
Nearest Class Center Accuracy: 0.398125

Test Set:
Average Loss: 1.3867186470031738
Accuracy: 0.255
NC1 Within Class Collapse: 42.200923919677734
NC2 Equinorm: Features: 0.3784392178058624, Weights: 0.024013398215174675
NC2 Equiangle: Features: 0.2500394980112712, Weights: 0.3448464075724284
NC3 Self-Duality: 1.6074352264404297
NC4 NCC Mismatch: 0.6495

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.785024166107178
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 7.798501491546631
Linear Weight Rank: 179
Intra Cos: 0.023378033190965652
Inter Cos: -0.0016103892121464014
Norm Quadratic Average: 4.640779495239258
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.817070484161377
Linear Weight Rank: 179
Intra Cos: 0.01649375446140766
Inter Cos: 2.6633942979970016e-05
Norm Quadratic Average: 1.5633925199508667
Nearest Class Center Accuracy: 0.548

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.761056900024414
Linear Weight Rank: 179
Intra Cos: 0.012615381740033627
Inter Cos: 0.003474028315395117
Norm Quadratic Average: 0.5513429641723633
Nearest Class Center Accuracy: 0.5115

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769942760467529
Linear Weight Rank: 180
Intra Cos: 0.013219836167991161
Inter Cos: 0.007217594888061285
Norm Quadratic Average: 0.20393076539039612
Nearest Class Center Accuracy: 0.4985

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.790714740753174
Linear Weight Rank: 179
Intra Cos: 0.012515565380454063
Inter Cos: 0.00626984890550375
Norm Quadratic Average: 0.07880857586860657
Nearest Class Center Accuracy: 0.4965

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.770589351654053
Linear Weight Rank: 180
Intra Cos: 0.013240678235888481
Inter Cos: 0.009167061187326908
Norm Quadratic Average: 0.02873389609158039
Nearest Class Center Accuracy: 0.4655

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.765247344970703
Linear Weight Rank: 179
Intra Cos: 0.01297448668628931
Inter Cos: 0.011133972555398941
Norm Quadratic Average: 0.011695933528244495
Nearest Class Center Accuracy: 0.457

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1431041955947876
Linear Weight Rank: 4
Intra Cos: 0.011850330978631973
Inter Cos: 0.011958641931414604
Norm Quadratic Average: 0.004673090297728777
Nearest Class Center Accuracy: 0.457

Output Layer:
Intra Cos: 0.02033592388033867
Inter Cos: 0.02732265368103981
Norm Quadratic Average: 0.0005012474721297622
Nearest Class Center Accuracy: 0.4055

