feat(weights): sync mobilenet/srm_only/finetune_robust/seed_123 (best.pth and metrics)

.gitattributes

@@ -323,3 +323,4 @@ vit/none/finetune_robust/seed_7/plots/roc_auc.png filter=lfs diff=lfs merge=lfs
 vit/none/finetune_robust/seed_987/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
 vit/none/finetune_robust/seed_2025/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
 mobilenet/srm_only/finetune_robust/seed_2024/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
+mobilenet/srm_only/finetune_robust/seed_123/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text

mobilenet/srm_only/finetune_robust/seed_123/results/history.csv

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mobilenet/srm_only/finetune_robust/seed_123/results/metrics_celeb_df.csv

@@ -0,0 +1,2 @@
+frame_auc,frame_acc,frame_f1,video_auc,video_acc,video_f1,threshold
+0.6586457736652713,0.6432432432432432,0.7276478679504814,0.7507435558493061,0.7104247104247104,0.7983870967741935,0.4189940094947815

mobilenet/srm_only/finetune_robust/seed_123/results/metrics_df40.csv

@@ -0,0 +1,2 @@
+model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
+mobilenet,srm_only,finetune_robust,123,df40,0.4189940094947815,0.8837284874916077,0.6644536156468688,0.6862714750038694,0.72132747681796,0.7033629441624365,0.6866714647631007,0.5945189037807561,4434,2027,1713,2972

mobilenet/srm_only/finetune_robust/seed_123/results/metrics_summary.csv

@@ -0,0 +1,2 @@
+acc,precision,f1,auc,recall,specificity,model_family,architecture,fourier_mode,regime,initialization_contract,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,robust,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
+0.7006985550737302,0.8224238663978077,0.7003065340737112,0.7857951275969959,0.6097656811538645,0.8229684801938094,mobilenet,resnet18,srm_only,finetune,regime-v2,123,"[42, 123, 2024, 7, 2025]",15,64,4,224,,False,0.001,0.0001,0.0001,5,3,1.0,0.2,True,False,True,True,False,0.0,balanced_accuracy,0.0,0.0,2,False,True,16,256,6,8,128,large,base,mobilenet,7,dense,3,,3,0.4189940094947815

mobilenet/srm_only/finetune_robust/seed_123/results/metrics_test.csv

@@ -0,0 +1,2 @@
+model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
+mobilenet,srm_only,finetune,123,test,0.4189940094947815,0.6834715167601009,0.7006985550737302,0.8224238663978077,0.6097656811538645,0.7003065340737112,0.7857951275969959,0.8229684801938094,63626,13738,40719,63864

mobilenet/srm_only/finetune_robust/seed_123/results/metrics_test_d.csv

@@ -0,0 +1,2 @@
+model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
+mobilenet,srm_only,finetune_robust,123,test_d,0.4189940094947815,0.87734452492223,0.6277102672756352,0.7052708309969721,0.6027025731946907,0.6499651189830246,0.674987641960551,0.661336048039999,62889,26281,41456,51321

mobilenet/srm_only/finetune_robust/seed_123/results/metrics_val.csv

@@ -0,0 +1,2 @@
+model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
+mobilenet,srm_only,finetune,123,val,0.4189940094947815,0.43055332945421165,0.8082965194791094,0.8978672074866452,0.7672772170682254,0.8274514115390723,0.8980737733335216,0.8695880301953217,67736,7705,20545,51377

mobilenet/srm_only/finetune_robust/seed_123/results/run_config.json

@@ -0,0 +1,53 @@
+{
+  "allow_pretrained": true,
+  "architecture": "resnet18",
+  "augment": true,
+  "batch_size": 64,
+  "cutmix_alpha": 0.0,
+  "data_limit": null,
+  "dropout": 0.2,
+  "early_stop_patience": 5,
+  "epochs": 15,
+  "expert_family": "mobilenet",
+  "fourier_mode": "srm_only",
+  "hidden_size": 256,
+  "image_size": 224,
+  "in_channels": 3,
+  "in_channels_override": null,
+  "initialization_contract": "regime-v2",
+  "label_smoothing": 0.0,
+  "lr_backbone": 0.0001,
+  "lr_head": 0.001,
+  "max_grad_norm": 1.0,
+  "mixup_alpha": 0.0,
+  "model_family": "mobilenet",
+  "model_size": "base",
+  "multi_gpu": false,
+  "num_attention_heads": 8,
+  "num_experts": 7,
+  "num_hidden_layers": 6,
+  "num_workers": 4,
+  "patch_size": 16,
+  "projection_dim": 128,
+  "raw_min": false,
+  "regime": "finetune",
+  "robust": false,
+  "routing_strategy": "dense",
+  "scheduler_patience": 3,
+  "seed": 123,
+  "seeds": [
+    42,
+    123,
+    2024,
+    7,
+    2025
+  ],
+  "threshold_strategy": "balanced_accuracy",
+  "top_k": 3,
+  "train_backbone": true,
+  "unfreeze_last_n": 2,
+  "use_class_weights": false,
+  "use_weighted_sampler": true,
+  "variant": "large",
+  "weight_decay": 0.0001
+}

mobilenet/srm_only/finetune_robust/seed_123/weights/best.pth

@@ -0,0 +1,3 @@
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