feat(weights): sync clip/none/finetune_robust/seed_987 (best.pth and metrics)
Browse files- clip/none/finetune_robust/seed_987/plots/confusion_matrix.png +0 -0
- clip/none/finetune_robust/seed_987/plots/roc_auc.png +0 -0
- clip/none/finetune_robust/seed_987/results/history.csv +15 -0
- clip/none/finetune_robust/seed_987/results/metrics_celeb_df.csv +2 -0
- clip/none/finetune_robust/seed_987/results/metrics_celeb_df_video.csv +2 -0
- clip/none/finetune_robust/seed_987/results/metrics_df40.csv +2 -0
- clip/none/finetune_robust/seed_987/results/metrics_summary.csv +2 -0
- clip/none/finetune_robust/seed_987/results/metrics_test.csv +2 -0
- clip/none/finetune_robust/seed_987/results/metrics_test_d.csv +2 -0
- clip/none/finetune_robust/seed_987/results/metrics_val.csv +2 -0
- clip/none/finetune_robust/seed_987/results/run_config.json +50 -0
- clip/none/finetune_robust/seed_987/weights/best.pth +3 -0
clip/none/finetune_robust/seed_987/plots/confusion_matrix.png
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clip/none/finetune_robust/seed_987/plots/roc_auc.png
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clip/none/finetune_robust/seed_987/results/history.csv
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epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
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1,0.2658628401241888,0.20709268632880726,0.9721058031858106,0.907799108324342,0.27581191062927246,0.9117146095017067
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8,0.399059593625809,0.693147546058109,0.5,0.5990784661007172,0.0,0.5990784661007172
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9,0.6931475743444998,0.693147546058109,0.5,0.5990784661007172,0.0,0.5990784661007172
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10,0.6931475746900023,0.693147546058109,0.5,0.5990784661007172,0.0,0.5990784661007172
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11,0.6931475741553826,0.693147546058109,0.5,0.5990784661007172,0.0,0.5990784661007172
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12,0.6931475743881422,0.693147546058109,0.5,0.5990784661007172,0.0,0.5990784661007172
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13,0.6931475741335614,0.693147546058109,0.5,0.5990784661007172,0.0,0.5990784661007172
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14,0.6931475743517735,0.693147546058109,0.5,0.5990784661007172,0.0,0.5990784661007172
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clip/none/finetune_robust/seed_987/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,987,celeb_df,0.5580259561538696,0.6324907101417346,0.6498069498069498,0.7454392365983722,0.7128287707997852,0.7811764705882352,0.398876404494382,0.0,0.6324907101417346,0.6498069498069498,0.7454392365983722,0.6788169200264376,0.6756756756756757,0.7692307692307693
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clip/none/finetune_robust/seed_987/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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| 2 |
+
clip,none,finetune_robust,987,celeb_df_video,0.5580259561538696,0.6788169200264376,0.6756756756756757,0.7692307692307693,0.7216494845360825,0.8235294117647058,0.39325842696629215,0.0
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clip/none/finetune_robust/seed_987/results/metrics_df40.csv
ADDED
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auc,acc,f1,precision,recall,specificity,loss,threshold,model_family,fourier_mode,regime,seed
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+
0.826250169506815,0.7759734433877624,0.8022491486497189,0.7816358024691358,0.823979176834228,0.7169433886777355,0.9947264302860608,0.5,clip,none,finetune_robust,987
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clip/none/finetune_robust/seed_987/results/metrics_summary.csv
ADDED
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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,threshold
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| 2 |
+
0.8174083661725667,0.9260750272575872,0.8231065769296303,0.9066671044707916,0.7407446451674733,0.9204917399036108,clip,resnet18,none,finetune,987,"[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,True,0.0,accuracy,0.0,0.0,2,False,True,16,256,6,8,128,large,base,mobilenet,7,dense,3,3,0.5580259561538696
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clip/none/finetune_robust/seed_987/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 |
+
clip,none,finetune_robust,987,test,0.5580259561538696,0.4801905365957329,0.8174083661725667,0.9260750272575872,0.7407446451674733,0.8231065769296303,0.9066671044707916,0.9204917399036108,77293,6170,27052,71432
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clip/none/finetune_robust/seed_987/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,987,test_d,0.5580259561538696,0.9134795852008292,0.7397593804789306,0.9018090041312408,0.6129570175858929,0.7298422986512084,0.8462420585538754,0.9102600448442052,63959,6964,40386,70638
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clip/none/finetune_robust/seed_987/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_robust,987,val,0.5580259561538696,0.1916983403501845,0.9397881422066596,0.9582857208813786,0.940429532634059,0.9492736638101064,0.984970182675198,0.9388297422183104,83023,3614,5259,55467
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clip/none/finetune_robust/seed_987/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 |
+
"augment": true,
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| 5 |
+
"batch_size": 32,
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| 6 |
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"cutmix_alpha": 0.0,
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| 7 |
+
"data_limit": null,
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| 8 |
+
"dropout": 0.2,
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| 9 |
+
"early_stop_patience": 8,
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| 10 |
+
"epochs": 20,
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| 11 |
+
"expert_family": "mobilenet",
|
| 12 |
+
"fourier_mode": "none",
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| 13 |
+
"hidden_size": 256,
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| 14 |
+
"image_size": 224,
|
| 15 |
+
"in_channels": 3,
|
| 16 |
+
"label_smoothing": 0.0,
|
| 17 |
+
"lr_backbone": 0.0001,
|
| 18 |
+
"lr_head": 0.001,
|
| 19 |
+
"max_grad_norm": 1.0,
|
| 20 |
+
"mixup_alpha": 0.0,
|
| 21 |
+
"model_family": "clip",
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| 22 |
+
"model_size": "base",
|
| 23 |
+
"multi_gpu": false,
|
| 24 |
+
"num_attention_heads": 8,
|
| 25 |
+
"num_experts": 7,
|
| 26 |
+
"num_hidden_layers": 6,
|
| 27 |
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"num_workers": 4,
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| 28 |
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"patch_size": 16,
|
| 29 |
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"projection_dim": 128,
|
| 30 |
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"raw_min": false,
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| 31 |
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"regime": "finetune",
|
| 32 |
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"routing_strategy": "dense",
|
| 33 |
+
"scheduler_patience": 3,
|
| 34 |
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"seed": 987,
|
| 35 |
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"seeds": [
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| 36 |
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42,
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| 37 |
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123,
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| 38 |
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2024,
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| 39 |
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7,
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| 40 |
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2025
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| 41 |
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],
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| 42 |
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"threshold_strategy": "accuracy",
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| 43 |
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"top_k": 3,
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| 44 |
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"train_backbone": true,
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| 45 |
+
"unfreeze_last_n": 2,
|
| 46 |
+
"use_class_weights": true,
|
| 47 |
+
"use_weighted_sampler": true,
|
| 48 |
+
"variant": "large",
|
| 49 |
+
"weight_decay": 0.0001
|
| 50 |
+
}
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clip/none/finetune_robust/seed_987/weights/best.pth
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:a2264f7ecf1b7591d88d2d29e66dbf4fd312db8a04d7af084443c969b2111636
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| 3 |
+
size 343267129
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