feat(weights): sync dino/none/finetune_robust/seed_123 (best.pth and metrics)

.gitattributes

@@ -294,3 +294,4 @@ xception/none/finetune_robust/seed_2025/plots/roc_auc.png filter=lfs diff=lfs me
 dino/srm_only/finetune_robust/seed_123/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
 dino/srm_only/finetune_robust/seed_42/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
 dino/none/finetune_robust/seed_2024/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
+dino/none/finetune_robust/seed_123/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text

dino/none/finetune_robust/seed_123/results/history.csv

@@ -0,0 +1,17 @@
+epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
+1,0.2754803309465425,0.11573637723461719,0.9893382049801931,0.940378521067025,0.09636510908603668,0.9614300641043744
+2,0.22681273825092035,0.08603573300909288,0.9935592757840407,0.9574452203063184,0.12549345195293427,0.969532898441099
+3,0.21263082175287096,0.088769422301657,0.9939345183521906,0.9537672278658822,0.03676946461200714,0.9716893424036281
+4,0.2028148024233507,0.09254650193686333,0.9942933285066452,0.9479788006487382,0.02655657008290291,0.9709314805400214
+5,0.19739312708949053,0.11535372338639883,0.9904135887178999,0.9573095010280736,0.48788687586784363,0.9641931348810711
+6,0.1899981490488283,0.0977101616073712,0.9937345938476547,0.9496685056628869,0.017045315355062485,0.9735504603883672
+7,0.18883305874310669,0.0863702575617708,0.9936152529351188,0.966782706649566,0.11240509152412415,0.9743647900022114
+8,0.18509348383388377,0.08205391958359846,0.994978275809579,0.964638342053297,0.018833130598068237,0.9761769193978181
+9,0.1822530241763165,0.09118531416957859,0.9933340427396081,0.9558844486065023,0.03138042986392975,0.9724021914569552
+10,0.1804681802376188,0.13915700340674664,0.9874477385907947,0.945719074665961,0.09334688633680344,0.9547052359665625
+11,0.17645385376347866,0.11246691452675142,0.9914450746854065,0.9523082456247498,0.02262919954955578,0.9670118888857362
+12,0.1751656938110884,0.09422091689553028,0.9932653147847661,0.9565834028894634,0.01542455144226551,0.9742534761796217
+13,0.16026579082190667,0.10883888615659955,0.9909489713003992,0.9611096408189301,0.014615669846534729,0.9713450692969838
+14,0.15659916319738346,0.1006473547082857,0.9924483239845083,0.9632879352347604,0.011331753805279732,0.975344242155374
+15,0.15426271229943336,0.0908708848650909,0.9927100582190326,0.969341015044482,0.019870713353157043,0.9772754434788548
+16,0.15453486250298154,0.1079481024606931,0.9909202843645332,0.9637290228890563,0.010248602367937565,0.9729489415546664

dino/none/finetune_robust/seed_123/results/metrics_celeb_df.csv

@@ -0,0 +1,2 @@
+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
+dino,none,finetune_robust,123,celeb_df,0.0188331305980682,0.6165395828743483,0.6541827541827542,0.7519615988184252,0.7104482818768533,0.7986274509803921,0.3782771535580524,0.0,0.6165395828743483,0.6541827541827542,0.7519615988184252,0.6267349636483808,0.667953667953668,0.7860696517412935

dino/none/finetune_robust/seed_123/results/metrics_celeb_df_video.csv

@@ -0,0 +1,2 @@
+model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
+dino,none,finetune_robust,123,celeb_df_video,0.0188331305980682,0.6267349636483808,0.667953667953668,0.7860696517412935,0.6810344827586207,0.9294117647058824,0.16853932584269662,0.0

dino/none/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
+dino,none,finetune_robust,123,df40,0.0188331305980682,1.295824439187446,0.6972007895209044,0.708421052631579,0.7663901089962584,0.7362663124169727,0.7528522460633333,0.612122424484897,4711,1939,1436,3060

dino/none/finetune_robust/seed_123/results/metrics_summary.csv

@@ -0,0 +1,2 @@
+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
+0.8555348535562554,0.9607266803597988,0.8609693270354757,0.9434454240164915,0.7799798744549331,0.9571273936238757,dino,resnet18,none,finetune,123,"[42, 123, 2024, 7, 2025]",50,32,4,224,,False,0.0002,2e-05,0.0001,8,3,1.0,0.2,True,True,True,True,0.0,f1,0.2,0.0,2,False,True,16,256,6,8,128,large,base,mobilenet,7,dense,3,,3,0.018833130598068237

dino/none/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
+dino,none,finetune,123,test,0.018833130598068237,0.46930397246812605,0.8555348535562554,0.9607266803597988,0.7799798744549331,0.8609693270354757,0.9434454240164915,0.9571273936238757,81387,3327,22958,74275

dino/none/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
+dino,none,finetune_robust,123,test_d,0.0188331305980682,1.3687423543976387,0.7653767305863796,0.8680603643831037,0.6967942881786382,0.7730551878492102,0.8661986324370282,0.8575938764464833,72707,11051,31638,66551

dino/none/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
+dino,none,finetune,123,val,0.018833130598068237,0.08205391958359846,0.9716075269911715,0.9814072768071807,0.9710020162660565,0.9761769193978181,0.994978275809579,0.9725123136033581,85722,1624,2560,57457

dino/none/finetune_robust/seed_123/results/run_config.json

@@ -0,0 +1,51 @@
+{
+  "allow_pretrained": true,
+  "architecture": "resnet18",
+  "augment": true,
+  "batch_size": 32,
+  "cutmix_alpha": 0.0,
+  "data_limit": null,
+  "dropout": 0.2,
+  "early_stop_patience": 8,
+  "epochs": 50,
+  "expert_family": "mobilenet",
+  "fourier_mode": "none",
+  "hidden_size": 256,
+  "image_size": 224,
+  "in_channels": 3,
+  "in_channels_override": null,
+  "label_smoothing": 0.0,
+  "lr_backbone": 2e-05,
+  "lr_head": 0.0002,
+  "max_grad_norm": 1.0,
+  "mixup_alpha": 0.2,
+  "model_family": "dino",
+  "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",
+  "routing_strategy": "dense",
+  "scheduler_patience": 3,
+  "seed": 123,
+  "seeds": [
+    42,
+    123,
+    2024,
+    7,
+    2025
+  ],
+  "threshold_strategy": "f1",
+  "top_k": 3,
+  "train_backbone": true,
+  "unfreeze_last_n": 2,
+  "use_class_weights": true,
+  "use_weighted_sampler": true,
+  "variant": "large",
+  "weight_decay": 0.0001
+}

dino/none/finetune_robust/seed_123/weights/best.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4960be8b6d685251008ace5f78f2e2cb3b9effd645643381361d0835a5d572cf
+size 350424374