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- xception/complex/finetune/seed_2025/plots/confusion_matrix.png +0 -0
- xception/complex/finetune/seed_2025/results/metrics_test.csv +2 -0
- xception/complex/finetune/seed_2025/results/predictions.csv +0 -0
- xception/complex/finetune/seed_2025/results/predictions_test.csv +0 -0
- xception/complex/finetune/seed_2025/results/predictions_test_d.csv +0 -0
- xception/complex/finetune/seed_2025/results/predictions_val.csv +0 -0
- xception/concat/finetune/seed_123/plots/confusion_matrix.png +0 -0
- xception/concat/finetune/seed_123/results/history.csv +21 -0
- xception/concat/finetune/seed_123/results/metrics_celeb_df.csv +2 -0
- xception/concat/finetune/seed_123/results/metrics_celeb_df_video.csv +2 -0
- xception/concat/finetune/seed_123/results/metrics_summary.csv +2 -0
- xception/concat/finetune/seed_123/results/metrics_test.csv +2 -0
- xception/concat/finetune/seed_123/results/metrics_test_d.csv +2 -0
- xception/concat/finetune/seed_123/results/metrics_val.csv +2 -0
- xception/concat/finetune/seed_123/results/predictions.csv +0 -0
- xception/concat/finetune/seed_123/results/predictions_test.csv +0 -0
- xception/concat/finetune/seed_123/results/predictions_test_d.csv +0 -0
- xception/concat/finetune/seed_123/results/predictions_val.csv +0 -0
- xception/concat/finetune/seed_123/results/run_config.json +46 -0
- xception/concat/finetune/seed_2024/plots/confusion_matrix.png +0 -0
- xception/concat/finetune/seed_2024/results/history.csv +21 -0
- xception/concat/finetune/seed_2024/results/metrics_celeb_df.csv +2 -0
- xception/concat/finetune/seed_2024/results/metrics_celeb_df_video.csv +2 -0
- xception/concat/finetune/seed_2024/results/metrics_summary.csv +2 -0
- xception/concat/finetune/seed_2024/results/metrics_test.csv +2 -0
- xception/concat/finetune/seed_2024/results/metrics_test_d.csv +2 -0
- xception/concat/finetune/seed_2024/results/metrics_val.csv +2 -0
- xception/concat/finetune/seed_2024/results/predictions.csv +0 -0
- xception/concat/finetune/seed_2024/results/predictions_test.csv +0 -0
- xception/concat/finetune/seed_2024/results/predictions_test_d.csv +0 -0
- xception/concat/finetune/seed_2024/results/predictions_val.csv +0 -0
- xception/concat/finetune/seed_2024/results/run_config.json +46 -0
- xception/concat/finetune/seed_42/results/metrics_celeb_df_video.csv +2 -0
- xception/concat/finetune/seed_42/results/metrics_summary.csv +2 -0
- xception/concat/finetune/seed_42/results/metrics_val.csv +2 -0
- xception/frequency_3/finetune/seed_123/plots/confusion_matrix.png +0 -0
- xception/frequency_3/finetune/seed_123/results/history.csv +11 -0
- xception/frequency_3/finetune/seed_123/results/metrics_celeb_df.csv +2 -0
- xception/frequency_3/finetune/seed_123/results/metrics_celeb_df_video.csv +2 -0
- xception/frequency_3/finetune/seed_123/results/metrics_summary.csv +2 -0
- xception/frequency_3/finetune/seed_123/results/metrics_test.csv +2 -0
- xception/frequency_3/finetune/seed_123/results/metrics_test_d.csv +2 -0
- xception/frequency_3/finetune/seed_123/results/metrics_val.csv +2 -0
- xception/frequency_3/finetune/seed_123/results/predictions.csv +0 -0
- xception/frequency_3/finetune/seed_123/results/predictions_test.csv +0 -0
- xception/frequency_3/finetune/seed_123/results/predictions_test_d.csv +0 -0
- xception/frequency_3/finetune/seed_123/results/predictions_val.csv +0 -0
- xception/frequency_3/finetune/seed_123/results/run_config.json +46 -0
- xception/frequency_3/finetune/seed_2024/plots/confusion_matrix.png +0 -0
- xception/frequency_3/finetune/seed_2024/results/history.csv +18 -0
xception/complex/finetune/seed_2025/plots/confusion_matrix.png
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xception/complex/finetune/seed_2025/results/metrics_test.csv
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model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
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xception/complex/finetune/seed_2025/results/predictions.csv
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xception/complex/finetune/seed_2025/results/predictions_test_d.csv
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xception/complex/finetune/seed_2025/results/predictions_val.csv
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xception/concat/finetune/seed_123/plots/confusion_matrix.png
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xception/concat/finetune/seed_123/results/history.csv
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xception/concat/finetune/seed_123/results/metrics_celeb_df.csv
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model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
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xception/concat/finetune/seed_123/results/metrics_celeb_df_video.csv
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model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
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xception/concat/finetune/seed_123/results/metrics_summary.csv
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xception/concat/finetune/seed_123/results/metrics_test.csv
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model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
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xception/concat/finetune/seed_123/results/metrics_test_d.csv
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model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
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xception/concat/finetune/seed_123/results/metrics_val.csv
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model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
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xception/concat/finetune/seed_123/results/predictions.csv
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xception/concat/finetune/seed_123/results/predictions_test.csv
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xception/concat/finetune/seed_123/results/predictions_test_d.csv
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xception/concat/finetune/seed_123/results/predictions_val.csv
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xception/concat/finetune/seed_123/results/run_config.json
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{
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xception/concat/finetune/seed_2024/plots/confusion_matrix.png
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xception/concat/finetune/seed_2024/results/history.csv
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12,0.14866793190251676,1.0301800615894654,0.789849624533554,0.7234448267204115,0.5071406364440918,0.7235262582873584
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| 14 |
+
13,0.13843250735426765,1.0587852373444226,0.7988985746405721,0.7283578645928761,0.37926343083381653,0.7296539837001147
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| 15 |
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14,0.11371372678469197,1.069350223828154,0.8046126462609584,0.7335626989135672,0.522567629814148,0.7339698567483018
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+
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| 17 |
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16,0.0985816764906025,1.1000785835837856,0.8078354813889147,0.7359581441745893,0.5925781726837158,0.7363653020093239
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+
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| 19 |
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| 20 |
+
19,0.08920574785554047,1.0858579435868208,0.7978214412154685,0.7300543555709371,0.6211388111114502,0.7309772466630022
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| 21 |
+
20,0.08637677464059726,1.1588854289189454,0.8046117889601482,0.734919891696016,0.4669671058654785,0.7350013232629629
|
xception/concat/finetune/seed_2024/results/metrics_celeb_df.csv
ADDED
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@@ -0,0 +1,2 @@
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| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
|
| 2 |
+
xception,concat,finetune,2024,celeb_df,0.4160253703594208,0.446388411544393,0.3431145431145431,0.47020967407099856,0.3252441125789776,0.848314606741573,0.07862745098039216,5.511340879087077
|
xception/concat/finetune/seed_2024/results/metrics_celeb_df_video.csv
ADDED
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@@ -0,0 +1,2 @@
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|
|
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| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
|
| 2 |
+
xception,concat,finetune,2024,celeb_df_video,0.4160253703594208,0.4127065432914739,0.3359073359073359,0.5,0.33725490196078434,0.9662921348314607,0.0058823529411764705,0.0
|
xception/concat/finetune/seed_2024/results/metrics_summary.csv
ADDED
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@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
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|
| 1 |
+
acc,precision,f1,auc,recall,specificity,model_family,architecture,fourier_mode,regime,seed,seeds,epochs,batch_size,num_workers,image_size,data_limit,raw_min,lr_head,lr_backbone,weight_decay,early_stop_patience,scheduler_patience,max_grad_norm,dropout,augment,train_backbone,use_weighted_sampler,use_class_weights,label_smoothing,threshold_strategy,mixup_alpha,cutmix_alpha,unfreeze_last_n,multi_gpu,allow_pretrained,patch_size,hidden_size,num_hidden_layers,num_attention_heads,projection_dim,variant,model_size,in_channels,threshold
|
| 2 |
+
0.6729761963648755,0.6904494954642748,0.7320704080116356,0.7355772603547927,0.7790310987589247,0.5303729285327697,xception,resnet18,concat,finetune,2024,"[42, 123, 2024, 7, 2025]",20,32,4,224,,False,0.001,0.0001,0.0001,8,3,1.0,0.2,True,True,True,False,0.0,accuracy,0.0,0.0,2,False,True,16,256,6,8,128,large,base,4,0.4160253703594208
|
xception/concat/finetune/seed_2024/results/metrics_test.csv
ADDED
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@@ -0,0 +1,2 @@
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| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
xception,concat,finetune,2024,test,0.4160253703594208,1.5497014745839677,0.6729761963648755,0.6904494954642748,0.7790310987589247,0.7320704080116356,0.7355772603547927,0.5303729285327697,81288,36444,23057,41158
|
xception/concat/finetune/seed_2024/results/metrics_test_d.csv
ADDED
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@@ -0,0 +1,2 @@
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| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
xception,concat,finetune,2024,test_d,0.4160253703594208,2.716734946219593,0.5927440408470599,0.6387100324693192,0.6673630744165988,0.6527222537270763,0.6122755971721516,0.49240998943326203,69636,39390,34709,38212
|
xception/concat/finetune/seed_2024/results/metrics_val.csv
ADDED
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| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
xception,concat,finetune,2024,val,0.4160253703594208,1.0749451453015824,0.7390864735381337,0.7510959276838891,0.8442491108040144,0.7949528832667602,0.8111986147578787,0.5819468187742252,74532,24699,13750,34382
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xception/concat/finetune/seed_2024/results/predictions.csv
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xception/concat/finetune/seed_2024/results/predictions_test.csv
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xception/concat/finetune/seed_2024/results/predictions_test_d.csv
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xception/concat/finetune/seed_2024/results/predictions_val.csv
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xception/concat/finetune/seed_2024/results/run_config.json
ADDED
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@@ -0,0 +1,46 @@
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|
| 1 |
+
{
|
| 2 |
+
"allow_pretrained": true,
|
| 3 |
+
"architecture": "resnet18",
|
| 4 |
+
"augment": true,
|
| 5 |
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|
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|
| 7 |
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|
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|
| 9 |
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"early_stop_patience": 8,
|
| 10 |
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|
| 11 |
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"fourier_mode": "concat",
|
| 12 |
+
"hidden_size": 256,
|
| 13 |
+
"image_size": 224,
|
| 14 |
+
"in_channels": 4,
|
| 15 |
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"label_smoothing": 0.0,
|
| 16 |
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"lr_backbone": 0.0001,
|
| 17 |
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"lr_head": 0.001,
|
| 18 |
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"max_grad_norm": 1.0,
|
| 19 |
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"mixup_alpha": 0.0,
|
| 20 |
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"model_family": "xception",
|
| 21 |
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"model_size": "base",
|
| 22 |
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"multi_gpu": false,
|
| 23 |
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"num_attention_heads": 8,
|
| 24 |
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"num_hidden_layers": 6,
|
| 25 |
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"num_workers": 4,
|
| 26 |
+
"patch_size": 16,
|
| 27 |
+
"projection_dim": 128,
|
| 28 |
+
"raw_min": false,
|
| 29 |
+
"regime": "finetune",
|
| 30 |
+
"scheduler_patience": 3,
|
| 31 |
+
"seed": 2024,
|
| 32 |
+
"seeds": [
|
| 33 |
+
42,
|
| 34 |
+
123,
|
| 35 |
+
2024,
|
| 36 |
+
7,
|
| 37 |
+
2025
|
| 38 |
+
],
|
| 39 |
+
"threshold_strategy": "accuracy",
|
| 40 |
+
"train_backbone": true,
|
| 41 |
+
"unfreeze_last_n": 2,
|
| 42 |
+
"use_class_weights": false,
|
| 43 |
+
"use_weighted_sampler": true,
|
| 44 |
+
"variant": "large",
|
| 45 |
+
"weight_decay": 0.0001
|
| 46 |
+
}
|
xception/concat/finetune/seed_42/results/metrics_celeb_df_video.csv
ADDED
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@@ -0,0 +1,2 @@
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|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
|
| 2 |
+
xception,concat,finetune,42,celeb_df_video,0.3951925337314605,0.4287838730998017,0.3359073359073359,0.5014492753623189,0.337890625,0.9719101123595506,0.0029411764705882353,0.0
|
xception/concat/finetune/seed_42/results/metrics_summary.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
acc,precision,f1,auc,recall,specificity,model_family,architecture,fourier_mode,regime,seed,seeds,epochs,batch_size,num_workers,image_size,data_limit,raw_min,lr_head,lr_backbone,weight_decay,early_stop_patience,scheduler_patience,max_grad_norm,dropout,augment,train_backbone,use_weighted_sampler,use_class_weights,label_smoothing,threshold_strategy,mixup_alpha,cutmix_alpha,unfreeze_last_n,multi_gpu,allow_pretrained,patch_size,hidden_size,num_hidden_layers,num_attention_heads,projection_dim,variant,model_size,in_channels,threshold
|
| 2 |
+
0.6729487158348311,0.6968816137275737,0.7273093878598466,0.7345784126027055,0.7605155972974268,0.5552047627638463,xception,resnet18,concat,finetune,42,"[42, 123, 2024, 7, 2025]",20,32,4,224,,False,0.001,0.0001,0.0001,8,3,1.0,0.2,True,True,True,False,0.0,accuracy,0.0,0.0,2,False,True,16,256,6,8,128,large,base,4,0.39519253373146057
|
xception/concat/finetune/seed_42/results/metrics_val.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
xception,concat,finetune,42,val,0.39519253373146057,0.9922611030741484,0.7377428526835095,0.7570349963232629,0.8279603996284634,0.7909108123461466,0.8081813883177904,0.6029349537076217,73094,23459,15188,35622
|
xception/frequency_3/finetune/seed_123/plots/confusion_matrix.png
ADDED
|
xception/frequency_3/finetune/seed_123/results/history.csv
ADDED
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@@ -0,0 +1,11 @@
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| 1 |
+
epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
|
| 2 |
+
1,0.4860575756340977,0.6672037985730679,0.7156277913215414,0.654546935119399,0.5205267667770386,0.6556462612731826
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+
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|
xception/frequency_3/finetune/seed_123/results/metrics_celeb_df.csv
ADDED
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@@ -0,0 +1,2 @@
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| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
|
| 2 |
+
xception,frequency_3,finetune,123,celeb_df,0.471466600894928,0.4674849820077844,0.4223938223938224,0.45388172304697005,0.3361571737563086,0.6985018726591761,0.27784313725490195,1.4122328651977367
|
xception/frequency_3/finetune/seed_123/results/metrics_celeb_df_video.csv
ADDED
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@@ -0,0 +1,2 @@
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|
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|
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| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
|
| 2 |
+
xception,frequency_3,finetune,123,celeb_df_video,0.471466600894928,0.44872769332452084,0.3841698841698842,0.4674457429048414,0.332541567695962,0.7865168539325843,0.17352941176470588,0.0
|
xception/frequency_3/finetune/seed_123/results/metrics_summary.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
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|
| 1 |
+
acc,precision,f1,auc,recall,specificity,model_family,architecture,fourier_mode,regime,seed,seeds,epochs,batch_size,num_workers,image_size,data_limit,raw_min,lr_head,lr_backbone,weight_decay,early_stop_patience,scheduler_patience,max_grad_norm,dropout,augment,train_backbone,use_weighted_sampler,use_class_weights,label_smoothing,threshold_strategy,mixup_alpha,cutmix_alpha,unfreeze_last_n,multi_gpu,allow_pretrained,patch_size,hidden_size,num_hidden_layers,num_attention_heads,projection_dim,variant,model_size,in_channels,threshold
|
| 2 |
+
0.6573397747695757,0.6749739615881348,0.7221162417543234,0.7106338220711715,0.776338109157123,0.4973325429756965,xception,resnet18,frequency_3,finetune,123,"[42, 123, 2024, 7, 2025]",20,32,4,224,,False,0.001,0.0001,0.0001,8,3,1.0,0.2,True,True,True,False,0.0,accuracy,0.0,0.0,2,False,True,16,256,6,8,128,large,base,1,0.471466600894928
|
xception/frequency_3/finetune/seed_123/results/metrics_test.csv
ADDED
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@@ -0,0 +1,2 @@
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| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
xception,frequency_3,finetune,123,test,0.471466600894928,0.723598010669121,0.6573397747695757,0.6749739615881348,0.776338109157123,0.7221162417543234,0.7106338220711715,0.4973325429756965,81007,39008,23338,38594
|
xception/frequency_3/finetune/seed_123/results/metrics_test_d.csv
ADDED
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@@ -0,0 +1,2 @@
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+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
xception,frequency_3,finetune,123,test_d,0.471466600894928,1.2233581107150406,0.5502976141403816,0.5992718681958022,0.6515118117782357,0.6243009192510078,0.5439523460888438,0.4142032421844798,67982,45459,36363,32143
|
xception/frequency_3/finetune/seed_123/results/metrics_val.csv
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+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
xception,frequency_3,finetune,123,val,0.471466600894928,0.6447600831564385,0.6800078717181383,0.7314588656393863,0.7361070206837181,0.7337755822159492,0.7505100704956797,0.5961815135153433,64985,23858,23297,35223
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xception/frequency_3/finetune/seed_123/results/predictions.csv
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xception/frequency_3/finetune/seed_123/results/run_config.json
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|
| 1 |
+
{
|
| 2 |
+
"allow_pretrained": true,
|
| 3 |
+
"architecture": "resnet18",
|
| 4 |
+
"augment": true,
|
| 5 |
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"batch_size": 32,
|
| 6 |
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"cutmix_alpha": 0.0,
|
| 7 |
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|
| 8 |
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"dropout": 0.2,
|
| 9 |
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"early_stop_patience": 8,
|
| 10 |
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"epochs": 20,
|
| 11 |
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"fourier_mode": "frequency_3",
|
| 12 |
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"hidden_size": 256,
|
| 13 |
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"image_size": 224,
|
| 14 |
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"in_channels": 1,
|
| 15 |
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"label_smoothing": 0.0,
|
| 16 |
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"lr_backbone": 0.0001,
|
| 17 |
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"lr_head": 0.001,
|
| 18 |
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"max_grad_norm": 1.0,
|
| 19 |
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"mixup_alpha": 0.0,
|
| 20 |
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"model_family": "xception",
|
| 21 |
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"model_size": "base",
|
| 22 |
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"multi_gpu": false,
|
| 23 |
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"num_attention_heads": 8,
|
| 24 |
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"num_hidden_layers": 6,
|
| 25 |
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"num_workers": 4,
|
| 26 |
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"patch_size": 16,
|
| 27 |
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"projection_dim": 128,
|
| 28 |
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"raw_min": false,
|
| 29 |
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"regime": "finetune",
|
| 30 |
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"scheduler_patience": 3,
|
| 31 |
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"seed": 123,
|
| 32 |
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"seeds": [
|
| 33 |
+
42,
|
| 34 |
+
123,
|
| 35 |
+
2024,
|
| 36 |
+
7,
|
| 37 |
+
2025
|
| 38 |
+
],
|
| 39 |
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"threshold_strategy": "accuracy",
|
| 40 |
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"train_backbone": true,
|
| 41 |
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"unfreeze_last_n": 2,
|
| 42 |
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"use_class_weights": false,
|
| 43 |
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"use_weighted_sampler": true,
|
| 44 |
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"variant": "large",
|
| 45 |
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"weight_decay": 0.0001
|
| 46 |
+
}
|
xception/frequency_3/finetune/seed_2024/plots/confusion_matrix.png
ADDED
|
xception/frequency_3/finetune/seed_2024/results/history.csv
ADDED
|
@@ -0,0 +1,18 @@
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| 1 |
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epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
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| 2 |
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