feat(weights): sync clip/none/finetune_robust/seed_2025 (best.pth and metrics)
Browse files- clip/none/finetune_robust/seed_2025/plots/confusion_matrix.png +0 -0
- clip/none/finetune_robust/seed_2025/plots/roc_auc.png +0 -0
- clip/none/finetune_robust/seed_2025/results/history.csv +21 -0
- clip/none/finetune_robust/seed_2025/results/metrics_celeb_df.csv +2 -0
- clip/none/finetune_robust/seed_2025/results/metrics_celeb_df_video.csv +2 -0
- clip/none/finetune_robust/seed_2025/results/metrics_df40.csv +2 -0
- clip/none/finetune_robust/seed_2025/results/metrics_summary.csv +2 -0
- clip/none/finetune_robust/seed_2025/results/metrics_test.csv +2 -0
- clip/none/finetune_robust/seed_2025/results/metrics_test_d.csv +2 -0
- clip/none/finetune_robust/seed_2025/results/metrics_val.csv +2 -0
- clip/none/finetune_robust/seed_2025/results/run_config.json +51 -0
- clip/none/finetune_robust/seed_2025/weights/best.pth +3 -0
clip/none/finetune_robust/seed_2025/plots/confusion_matrix.png
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clip/none/finetune_robust/seed_2025/plots/roc_auc.png
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clip/none/finetune_robust/seed_2025/results/history.csv
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epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
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1,0.28692229768357863,0.20362930976443058,0.972645751424766,0.9146325739839716,0.43401142954826355,0.9156776124264571
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| 19 |
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| 20 |
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clip/none/finetune_robust/seed_2025/results/metrics_celeb_df.csv
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model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss,frame_auc,frame_acc,frame_f1,video_auc,video_acc,video_f1
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| 2 |
+
clip,none,finetune_robust,2025,celeb_df,0.6858443021774292,0.6251621135345524,0.611969111969112,0.6892072982166787,0.7265811780047816,0.6554901960784314,0.5288389513108614,0.0,0.6251621135345524,0.611969111969112,0.6892072982166787,0.6555849306014541,0.6003861003861004,0.6521008403361345
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clip/none/finetune_robust/seed_2025/results/metrics_celeb_df_video.csv
ADDED
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model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
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| 2 |
+
clip,none,finetune_robust,2025,celeb_df_video,0.6858443021774292,0.6555849306014541,0.6003861003861004,0.6521008403361345,0.7607843137254902,0.5705882352941176,0.6573033707865169,0.0
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clip/none/finetune_robust/seed_2025/results/metrics_df40.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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| 2 |
+
clip,none,finetune_robust,2025,df40,0.6858443021774292,1.1545636867209093,0.7498654225731204,0.7797767782775279,0.7615096795184643,0.7705349794238683,0.8081852908730437,0.7355471094218844,4681,1322,1466,3677
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clip/none/finetune_robust/seed_2025/results/metrics_summary.csv
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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,expert_family,num_experts,routing_strategy,top_k,in_channels_override,in_channels,threshold
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| 2 |
+
0.8096533605940192,0.9231534987617152,0.8145160858411392,0.9064806496704307,0.7287555704633667,0.9184299373727481,clip,resnet18,none,finetune,2025,"[42, 123, 2024, 7, 2025]",20,16,4,224,,False,0.001,0.0001,0.0001,8,3,1.0,0.2,True,True,True,True,0.0,accuracy,0.0,0.0,2,False,True,16,256,6,8,128,large,base,mobilenet,7,dense,3,,3,0.6858443021774292
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clip/none/finetune_robust/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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| 2 |
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clip,none,finetune,2025,test,0.6858443021774292,0.5477799887145527,0.8096533605940192,0.9231534987617152,0.7287555704633667,0.8145160858411392,0.9064806496704307,0.9184299373727481,76042,6330,28303,71272
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clip/none/finetune_robust/seed_2025/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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| 2 |
+
clip,none,finetune_robust,2025,test_d,0.6858443021774292,0.9789017503208527,0.7370552963225555,0.8915499009050213,0.6164933633619244,0.7289374383845709,0.844596262523011,0.8991649699750006,64328,7825,40017,69777
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clip/none/finetune_robust/seed_2025/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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| 2 |
+
clip,none,finetune,2025,val,0.6858443021774292,0.22691955533201327,0.9376166337547417,0.9574209667904362,0.937563716272853,0.9473883010078233,0.983762708467407,0.9376957058952963,82770,3681,5512,55400
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clip/none/finetune_robust/seed_2025/results/run_config.json
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{
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| 2 |
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"allow_pretrained": true,
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| 3 |
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"architecture": "resnet18",
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| 4 |
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"augment": true,
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| 5 |
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"batch_size": 16,
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| 6 |
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"cutmix_alpha": 0.0,
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| 7 |
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"data_limit": null,
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| 8 |
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"dropout": 0.2,
|
| 9 |
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"early_stop_patience": 8,
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| 10 |
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"epochs": 20,
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| 11 |
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"expert_family": "mobilenet",
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| 12 |
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"fourier_mode": "none",
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| 13 |
+
"hidden_size": 256,
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| 14 |
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"image_size": 224,
|
| 15 |
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"in_channels": 3,
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| 16 |
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"in_channels_override": null,
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| 17 |
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"label_smoothing": 0.0,
|
| 18 |
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"lr_backbone": 0.0001,
|
| 19 |
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"lr_head": 0.001,
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| 20 |
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"max_grad_norm": 1.0,
|
| 21 |
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"mixup_alpha": 0.0,
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| 22 |
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"model_family": "clip",
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| 23 |
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"model_size": "base",
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| 24 |
+
"multi_gpu": false,
|
| 25 |
+
"num_attention_heads": 8,
|
| 26 |
+
"num_experts": 7,
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| 27 |
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"num_hidden_layers": 6,
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| 28 |
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"num_workers": 4,
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| 29 |
+
"patch_size": 16,
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| 30 |
+
"projection_dim": 128,
|
| 31 |
+
"raw_min": false,
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| 32 |
+
"regime": "finetune",
|
| 33 |
+
"routing_strategy": "dense",
|
| 34 |
+
"scheduler_patience": 3,
|
| 35 |
+
"seed": 2025,
|
| 36 |
+
"seeds": [
|
| 37 |
+
42,
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| 38 |
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123,
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| 39 |
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2024,
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| 40 |
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7,
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| 41 |
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2025
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| 42 |
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],
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| 43 |
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"threshold_strategy": "accuracy",
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| 44 |
+
"top_k": 3,
|
| 45 |
+
"train_backbone": true,
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| 46 |
+
"unfreeze_last_n": 2,
|
| 47 |
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"use_class_weights": true,
|
| 48 |
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"use_weighted_sampler": true,
|
| 49 |
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"variant": "large",
|
| 50 |
+
"weight_decay": 0.0001
|
| 51 |
+
}
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clip/none/finetune_robust/seed_2025/weights/best.pth
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:05ed738ac225fb68b1aca345c422690ba7da8a4d335d1443eee7b1e8a0003b4c
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| 3 |
+
size 343281364
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