feat(weights): sync vit/none/finetune_robust/seed_987 (best.pth and metrics)
Browse files- .gitattributes +1 -0
- vit/none/finetune_robust/seed_987/plots/confusion_matrix.png +0 -0
- vit/none/finetune_robust/seed_987/plots/roc_auc.png +3 -0
- vit/none/finetune_robust/seed_987/results/history.csv +26 -0
- vit/none/finetune_robust/seed_987/results/metrics_celeb_df.csv +2 -0
- vit/none/finetune_robust/seed_987/results/metrics_celeb_df_video.csv +2 -0
- vit/none/finetune_robust/seed_987/results/metrics_df40.csv +2 -0
- vit/none/finetune_robust/seed_987/results/metrics_summary.csv +2 -0
- vit/none/finetune_robust/seed_987/results/metrics_test.csv +2 -0
- vit/none/finetune_robust/seed_987/results/metrics_test_d.csv +2 -0
- vit/none/finetune_robust/seed_987/results/metrics_val.csv +2 -0
- vit/none/finetune_robust/seed_987/results/run_config.json +51 -0
- vit/none/finetune_robust/seed_987/weights/best.pth +3 -0
.gitattributes
CHANGED
|
@@ -320,3 +320,4 @@ vit/none/finetune_robust/seed_2024/plots/roc_auc.png filter=lfs diff=lfs merge=l
|
|
| 320 |
vit/none/finetune_robust/seed_123/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
|
| 321 |
vit/none/finetune_robust/seed_42/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
|
| 322 |
vit/none/finetune_robust/seed_7/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 320 |
vit/none/finetune_robust/seed_123/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
|
| 321 |
vit/none/finetune_robust/seed_42/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
|
| 322 |
vit/none/finetune_robust/seed_7/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
|
| 323 |
+
vit/none/finetune_robust/seed_987/plots/roc_auc.png filter=lfs diff=lfs merge=lfs -text
|
vit/none/finetune_robust/seed_987/plots/confusion_matrix.png
ADDED
|
vit/none/finetune_robust/seed_987/plots/roc_auc.png
ADDED
|
Git LFS Details
|
vit/none/finetune_robust/seed_987/results/history.csv
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
|
| 2 |
+
1,0.3923456174639642,0.40878677755574844,0.8584164047145679,0.7070567238723424,0.07864238321781158,0.8230708370694657
|
| 3 |
+
2,0.3473480597281152,0.35384148173923863,0.889576624946505,0.7456145708217123,0.09534946084022522,0.8417436420671016
|
| 4 |
+
3,0.33032376620393666,0.32732864280032736,0.9091122225495953,0.7631291436792139,0.08035746961832047,0.8565482334920582
|
| 5 |
+
4,0.318068990035295,0.33507177882831457,0.903254615018788,0.7461370900429551,0.08977328985929489,0.8518762127141777
|
| 6 |
+
5,0.3101404422233915,0.3069942005365259,0.9171412909740644,0.7962310756431398,0.11797800660133362,0.8661392844255698
|
| 7 |
+
6,0.3030595549546099,0.3202594929373541,0.9150839606593107,0.7916709078941118,0.07921033352613449,0.8642362661902635
|
| 8 |
+
7,0.2978883711435344,0.2930304455436213,0.922928662628555,0.8022434396693878,0.12852515280246735,0.8714010008752048
|
| 9 |
+
8,0.292908297384685,0.31698026434735554,0.9159024851681293,0.8007640995365186,0.11008788645267487,0.867984313200453
|
| 10 |
+
9,0.29024136717572685,0.2997965784508879,0.9245815069558754,0.7994069067540699,0.07864238321781158,0.8734970120239038
|
| 11 |
+
10,0.2862999313215175,0.2891106336129667,0.9291423186030888,0.8349721436181402,0.13939638435840607,0.8784594315101036
|
| 12 |
+
11,0.28238707546873687,0.27624019183427956,0.9379425913691924,0.8246642644354417,0.07978201657533646,0.8885814082986011
|
| 13 |
+
12,0.2799859836548012,0.28545798120200894,0.9304400161719585,0.8381072589455969,0.14706452190876007,0.8799235801151885
|
| 14 |
+
13,0.2775098969437629,0.28668732761882193,0.9327764921814679,0.8394101640167477,0.11008788645267487,0.8820921183603294
|
| 15 |
+
14,0.2734363555084907,0.2801046821976641,0.9349001890632903,0.8220109525457544,0.0832919254899025,0.8826944619776296
|
| 16 |
+
15,0.2740304670749229,0.2525006724138151,0.9433400865233876,0.8482658469222261,0.14223188161849976,0.8932817615165314
|
| 17 |
+
16,0.2699560695370722,0.2621752655588954,0.9423076786435595,0.8460739805785713,0.11047115176916122,0.892469021365164
|
| 18 |
+
17,0.26837569552571067,0.2675352520456993,0.941243870431977,0.8326445579962406,0.0809367224574089,0.890913322094891
|
| 19 |
+
18,0.266416460933696,0.2645338360479816,0.9413107354854839,0.8536674741963722,0.13939638435840607,0.893815397703105
|
| 20 |
+
19,0.2651412819771713,0.2787990215389342,0.9350576000561182,0.8314841581672469,0.10052486509084702,0.8832585713319658
|
| 21 |
+
20,0.2513051913010462,0.2672426374623074,0.941976053734577,0.8613491853450324,0.13753247261047363,0.8956944082783294
|
| 22 |
+
21,0.248650486301841,0.26420793558854677,0.9424229856504608,0.8597748417173917,0.11476478725671768,0.8947377278158289
|
| 23 |
+
22,0.24639689215109506,0.2582455129602045,0.9457648528210875,0.8653257601976073,0.11838508397340775,0.8989390387202616
|
| 24 |
+
23,0.2453464533903186,0.259700261718014,0.9465829758565981,0.8686440965506945,0.13028542697429657,0.9000962074029065
|
| 25 |
+
24,0.24351894924645237,0.27426408367984473,0.9431398034920678,0.8690105386019558,0.15002882480621338,0.8982181257866605
|
| 26 |
+
25,0.24418888533831942,0.27062254023539645,0.9433149841843234,0.8670086792478437,0.15052764117717743,0.8970595749754444
|
vit/none/finetune_robust/seed_987/results/metrics_celeb_df.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
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
|
| 2 |
+
vit,none,finetune_robust,987,celeb_df,0.1302854269742965,0.6193180215906587,0.6513513513513514,0.750529514688277,0.7075881229380101,0.7990196078431373,0.3692883895131086,0.0,0.6193180215906587,0.6513513513513514,0.750529514688277,0.658592200925314,0.6814671814671814,0.796044499381953
|
vit/none/finetune_robust/seed_987/results/metrics_celeb_df_video.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
|
| 2 |
+
vit,none,finetune_robust,987,celeb_df_video,0.1302854269742965,0.658592200925314,0.6814671814671814,0.796044499381953,0.6865671641791045,0.9470588235294117,0.17415730337078653,0.0
|
vit/none/finetune_robust/seed_987/results/metrics_df40.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
auc,acc,f1,precision,recall,specificity,loss,threshold,model_family,fourier_mode,regime,seed
|
| 2 |
+
0.727187588160222,0.6874214965009869,0.7173454486451404,0.7154879430328532,0.7192126240442492,0.6483296659331866,1.0444083328951488,0.5,vit,none,finetune_robust,987
|
vit/none/finetune_robust/seed_987/results/metrics_summary.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
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
|
| 2 |
+
0.733136572738215,0.8324395185317602,0.7420785636503678,0.8175612213311908,0.6694139632948393,0.8188191026004484,vit,resnet18,none,finetune,987,"[42, 123, 2024, 7, 2025]",25,32,4,224,,False,0.001,0.0001,0.0001,8,3,1.0,0.2,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,,3,0.13028542697429657
|
vit/none/finetune_robust/seed_987/results/metrics_test.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
vit,none,finetune_robust,987,test,0.1302854269742965,0.5932305335737778,0.733136572738215,0.8324395185317602,0.6694139632948393,0.7420785636503678,0.8175612213311908,0.8188191026004484,69850,14060,34495,63542
|
vit/none/finetune_robust/seed_987/results/metrics_test_d.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
vit,none,finetune_robust,987,test_d,0.1302854269742965,1.1058607764314103,0.6812423398022501,0.7784533307699703,0.6208826489050745,0.6907964535717522,0.7595653975606772,0.7624030308497204,64786,18438,39559,59164
|
vit/none/finetune_robust/seed_987/results/metrics_val.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
vit,none,finetune_robust,987,val,0.1302854269742965,0.259700261718014,0.8795016388102848,0.8941749851887457,0.9060963729865658,0.9000962074029065,0.946582975856598,0.8397623601496251,79992,9467,8290,49614
|
vit/none/finetune_robust/seed_987/results/run_config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"allow_pretrained": true,
|
| 3 |
+
"architecture": "resnet18",
|
| 4 |
+
"augment": true,
|
| 5 |
+
"batch_size": 32,
|
| 6 |
+
"cutmix_alpha": 0.0,
|
| 7 |
+
"data_limit": null,
|
| 8 |
+
"dropout": 0.2,
|
| 9 |
+
"early_stop_patience": 8,
|
| 10 |
+
"epochs": 25,
|
| 11 |
+
"expert_family": "mobilenet",
|
| 12 |
+
"fourier_mode": "none",
|
| 13 |
+
"hidden_size": 256,
|
| 14 |
+
"image_size": 224,
|
| 15 |
+
"in_channels": 3,
|
| 16 |
+
"in_channels_override": null,
|
| 17 |
+
"label_smoothing": 0.0,
|
| 18 |
+
"lr_backbone": 0.0001,
|
| 19 |
+
"lr_head": 0.001,
|
| 20 |
+
"max_grad_norm": 1.0,
|
| 21 |
+
"mixup_alpha": 0.2,
|
| 22 |
+
"model_family": "vit",
|
| 23 |
+
"model_size": "base",
|
| 24 |
+
"multi_gpu": false,
|
| 25 |
+
"num_attention_heads": 8,
|
| 26 |
+
"num_experts": 7,
|
| 27 |
+
"num_hidden_layers": 6,
|
| 28 |
+
"num_workers": 4,
|
| 29 |
+
"patch_size": 16,
|
| 30 |
+
"projection_dim": 128,
|
| 31 |
+
"raw_min": false,
|
| 32 |
+
"regime": "finetune",
|
| 33 |
+
"routing_strategy": "dense",
|
| 34 |
+
"scheduler_patience": 3,
|
| 35 |
+
"seed": 987,
|
| 36 |
+
"seeds": [
|
| 37 |
+
42,
|
| 38 |
+
123,
|
| 39 |
+
2024,
|
| 40 |
+
7,
|
| 41 |
+
2025
|
| 42 |
+
],
|
| 43 |
+
"threshold_strategy": "f1",
|
| 44 |
+
"top_k": 3,
|
| 45 |
+
"train_backbone": true,
|
| 46 |
+
"unfreeze_last_n": 2,
|
| 47 |
+
"use_class_weights": true,
|
| 48 |
+
"use_weighted_sampler": true,
|
| 49 |
+
"variant": "large",
|
| 50 |
+
"weight_decay": 0.0001
|
| 51 |
+
}
|
vit/none/finetune_robust/seed_987/weights/best.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b99e92a1128209cfe835920e76730b41433b3543078e4cf587a0753be08f8c05
|
| 3 |
+
size 345639254
|