feat(weights): sync mobilenet/srm_only/finetune_robust/seed_7 (best.pth and metrics)

.gitattributes

@@ -325,3 +325,4 @@ vit/none/finetune_robust/seed_2025/plots/roc_auc.png filter=lfs diff=lfs merge=l
 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_42/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
+mobilenet/srm_only/finetune_robust/seed_7/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text

mobilenet/srm_only/finetune_robust/seed_7/results/metrics_celeb_df.csv

@@ -0,0 +1,2 @@
+frame_auc,frame_acc,frame_f1,video_auc,video_acc,video_f1,threshold
+0.6142821473158553,0.6337194337194337,0.7290555978674791,0.6738433575677463,0.7027027027027027,0.8010335917312662,0.3426265120506286

mobilenet/srm_only/finetune_robust/seed_7/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,7,df40,0.3426265120506286,1.0046505784988404,0.6252467252826126,0.641036655211913,0.7283227590694648,0.6818977991013632,0.6164833747618239,0.498499699939988,4477,2507,1670,2492

mobilenet/srm_only/finetune_robust/seed_7/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
+0.6840398577607765,0.7949169824146222,0.6872014190417115,0.7586994854505229,0.6051943073458239,0.7900569572949151,mobilenet,resnet18,srm_only,finetune,regime-v2,7,"[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,,3,0.34262651205062866

mobilenet/srm_only/finetune_robust/seed_7/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,7,test,0.34262651205062866,0.7333748546585236,0.6840398577607765,0.7949169824146222,0.6051943073458239,0.6872014190417115,0.7586994854505229,0.7900569572949151,63149,16292,41196,61310

mobilenet/srm_only/finetune_robust/seed_7/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,7,test_d,0.3426265120506286,0.9068689699606748,0.6185152819227577,0.6831224380680806,0.6244764962384398,0.6524843290008612,0.6573406327027956,0.6104997293884178,65161,30226,39184,47376

mobilenet/srm_only/finetune_robust/seed_7/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,7,val,0.34262651205062866,0.5564199090780406,0.7211443849541608,0.9218336551526854,0.5840441318063909,0.7150534279156525,0.8426716543038485,0.9260011509427575,51560,4372,36721,54710

mobilenet/srm_only/finetune_robust/seed_7/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": 7,
+  "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_7/weights/best.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:344483222b47b14cf6b7225ca446870edbbd568881171711d0ea42f9d0d1088f
+size 17023170