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- clip/complex/finetune/seed_123/plots/confusion_matrix.png +0 -0
- clip/complex/finetune/seed_123/plots/roc_auc.png +0 -0
- clip/complex/finetune/seed_123/results/history.csv +13 -0
- clip/complex/finetune/seed_123/results/metrics_celeb_df.csv +2 -0
- clip/complex/finetune/seed_123/results/metrics_celeb_df_video.csv +2 -0
- clip/complex/finetune/seed_123/results/metrics_summary.csv +2 -0
- clip/complex/finetune/seed_123/results/metrics_test.csv +2 -0
- clip/complex/finetune/seed_123/results/metrics_test_d.csv +2 -0
- clip/complex/finetune/seed_123/results/metrics_val.csv +2 -0
- clip/complex/finetune/seed_123/results/predictions.csv +0 -0
- clip/complex/finetune/seed_123/results/predictions_test.csv +0 -0
- clip/complex/finetune/seed_123/results/predictions_test_d.csv +0 -0
- clip/complex/finetune/seed_123/results/predictions_val.csv +0 -0
- clip/complex/finetune/seed_123/results/run_config.json +46 -0
- clip/complex/finetune/seed_2025/plots/confusion_matrix.png +0 -0
- clip/complex/finetune/seed_2025/results/history.csv +10 -0
- clip/complex/finetune/seed_2025/results/metrics_celeb_df.csv +2 -0
- clip/complex/finetune/seed_2025/results/metrics_celeb_df_video.csv +2 -0
- clip/complex/finetune/seed_2025/results/metrics_summary.csv +2 -0
- clip/complex/finetune/seed_2025/results/metrics_test.csv +2 -0
- clip/complex/finetune/seed_2025/results/metrics_test_d.csv +2 -0
- clip/complex/finetune/seed_2025/results/metrics_val.csv +2 -0
- clip/complex/finetune/seed_2025/results/predictions.csv +0 -0
- clip/complex/finetune/seed_2025/results/predictions_test.csv +0 -0
- clip/complex/finetune/seed_2025/results/predictions_test_d.csv +0 -0
- clip/complex/finetune/seed_2025/results/predictions_val.csv +0 -0
- clip/complex/finetune/seed_2025/results/run_config.json +46 -0
- clip/complex/finetune/seed_42/plots/confusion_matrix.png +0 -0
- clip/complex/finetune/seed_42/results/history.csv +21 -0
- clip/complex/finetune/seed_42/results/metrics_celeb_df.csv +2 -0
- clip/complex/finetune/seed_42/results/metrics_celeb_df_video.csv +2 -0
- clip/complex/finetune/seed_42/results/metrics_summary.csv +2 -0
- clip/complex/finetune/seed_42/results/metrics_test.csv +2 -0
- clip/complex/finetune/seed_42/results/metrics_test_d.csv +2 -0
- clip/complex/finetune/seed_42/results/metrics_val.csv +2 -0
- clip/complex/finetune/seed_42/results/predictions.csv +0 -0
- clip/complex/finetune/seed_42/results/predictions_test.csv +0 -0
- clip/complex/finetune/seed_42/results/predictions_test_d.csv +0 -0
- clip/complex/finetune/seed_42/results/predictions_val.csv +0 -0
- clip/complex/finetune/seed_42/results/run_config.json +46 -0
- clip/complex/finetune/seed_7/plots/confusion_matrix.png +0 -0
- clip/complex/finetune/seed_7/results/history.csv +10 -0
- clip/complex/finetune/seed_7/results/metrics_celeb_df.csv +2 -0
- clip/complex/finetune/seed_7/results/metrics_celeb_df_video.csv +2 -0
- clip/complex/finetune/seed_7/results/metrics_summary.csv +2 -0
- clip/complex/finetune/seed_7/results/metrics_test.csv +2 -0
- clip/complex/finetune/seed_7/results/metrics_test_d.csv +2 -0
- clip/complex/finetune/seed_7/results/metrics_val.csv +2 -0
- clip/complex/finetune/seed_7/results/predictions.csv +0 -0
- clip/complex/finetune/seed_7/results/predictions_test.csv +0 -0
clip/complex/finetune/seed_123/plots/confusion_matrix.png
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clip/complex/finetune/seed_123/plots/roc_auc.png
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clip/complex/finetune/seed_123/results/history.csv
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epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
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clip/complex/finetune/seed_123/results/metrics_celeb_df.csv
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model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
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clip,complex,finetune,123,celeb_df,0.0,0.5,0.3436293436293436,0.5114942528735632,0.3436293436293436,1.0,0.0,0.6931474799992609
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clip/complex/finetune/seed_123/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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clip,complex,finetune,123,celeb_df_video,0.0,0.5,0.3436293436293436,0.5114942528735632,0.3436293436293436,1.0,0.0,0.0
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clip/complex/finetune/seed_123/results/metrics_summary.csv
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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,in_channels,threshold
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0.5734911814979088,0.5734911814979088,0.7289410811339472,0.5,1.0,0.0,clip,resnet18,complex,finetune,123,"[42, 123, 2024, 7, 2025]",20,16,4,224,,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,2,0.0
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clip/complex/finetune/seed_123/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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clip,complex,finetune,123,test,0.0,0.6931472249090609,0.5734911814979088,0.5734911814979088,1.0,0.7289410811339472,0.5,0.0,104345,77602,0,0
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clip/complex/finetune/seed_123/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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clip,complex,finetune,123,test_d,0.0,0.6931474804249272,0.5734911814979088,0.5734911814979088,1.0,0.7289410811339472,0.5,0.0,104345,77602,0,0
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clip/complex/finetune/seed_123/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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clip,complex,finetune,123,val,0.0,0.6931472126778323,0.5990784661007172,0.5990784661007172,1.0,0.7492796367417089,0.5,0.0,88282,59081,0,0
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clip/complex/finetune/seed_123/results/predictions.csv
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clip/complex/finetune/seed_123/results/predictions_test.csv
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clip/complex/finetune/seed_123/results/predictions_test_d.csv
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clip/complex/finetune/seed_123/results/predictions_val.csv
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clip/complex/finetune/seed_123/results/run_config.json
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{
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"patch_size": 16,
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"projection_dim": 128,
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"regime": "finetune",
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"scheduler_patience": 3,
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"seed": 123,
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"seeds": [
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2025
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],
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"threshold_strategy": "accuracy",
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"train_backbone": true,
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"unfreeze_last_n": 2,
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"use_class_weights": true,
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"use_weighted_sampler": true,
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"variant": "large",
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"weight_decay": 0.0001
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}
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clip/complex/finetune/seed_2025/plots/confusion_matrix.png
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clip/complex/finetune/seed_2025/results/history.csv
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epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
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clip/complex/finetune/seed_2025/results/metrics_celeb_df.csv
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model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
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clip,complex,finetune,2025,celeb_df,0.0,0.6221631416611588,0.3436293436293436,0.5114942528735632,0.3436293436293436,1.0,0.0,0.7234351560473442
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clip/complex/finetune/seed_2025/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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clip,complex,finetune,2025,celeb_df_video,0.0,0.6315928618638467,0.3436293436293436,0.5114942528735632,0.3436293436293436,1.0,0.0,0.0
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clip/complex/finetune/seed_2025/results/metrics_summary.csv
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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,in_channels,threshold
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0.5734911814979088,0.5734911814979088,0.7289410811339472,0.5137490128304688,1.0,0.0,clip,resnet18,complex,finetune,2025,"[42, 123, 2024, 7, 2025]",20,16,4,224,,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,2,0.0
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clip/complex/finetune/seed_2025/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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clip,complex,finetune,2025,test,0.0,0.6157108835425232,0.5734911814979088,0.5734911814979088,1.0,0.7289410811339472,0.5137490128304688,0.0,104345,77602,0,0
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clip/complex/finetune/seed_2025/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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clip,complex,finetune,2025,test_d,0.0,1.0838039206066392,0.5734911814979088,0.5734911814979088,1.0,0.7289410811339472,0.5171351498480677,0.0,104345,77602,0,0
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clip/complex/finetune/seed_2025/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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clip,complex,finetune,2025,val,0.0,0.6225142113895968,0.5990784661007172,0.5990784661007172,1.0,0.7492796367417089,0.4976364025896277,0.0,88282,59081,0,0
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clip/complex/finetune/seed_2025/results/predictions.csv
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clip/complex/finetune/seed_2025/results/predictions_test.csv
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clip/complex/finetune/seed_2025/results/predictions_test_d.csv
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clip/complex/finetune/seed_2025/results/predictions_val.csv
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clip/complex/finetune/seed_2025/results/run_config.json
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|
| 1 |
+
{
|
| 2 |
+
"allow_pretrained": true,
|
| 3 |
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|
| 4 |
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|
| 6 |
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| 8 |
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|
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|
| 10 |
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|
| 11 |
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|
| 12 |
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"hidden_size": 256,
|
| 13 |
+
"image_size": 224,
|
| 14 |
+
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|
| 15 |
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|
| 16 |
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|
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"patch_size": 16,
|
| 27 |
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|
| 28 |
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"raw_min": false,
|
| 29 |
+
"regime": "finetune",
|
| 30 |
+
"scheduler_patience": 3,
|
| 31 |
+
"seed": 2025,
|
| 32 |
+
"seeds": [
|
| 33 |
+
42,
|
| 34 |
+
123,
|
| 35 |
+
2024,
|
| 36 |
+
7,
|
| 37 |
+
2025
|
| 38 |
+
],
|
| 39 |
+
"threshold_strategy": "accuracy",
|
| 40 |
+
"train_backbone": true,
|
| 41 |
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"unfreeze_last_n": 2,
|
| 42 |
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"use_class_weights": true,
|
| 43 |
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"use_weighted_sampler": true,
|
| 44 |
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"variant": "large",
|
| 45 |
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|
| 46 |
+
}
|
clip/complex/finetune/seed_42/plots/confusion_matrix.png
ADDED
|
clip/complex/finetune/seed_42/results/history.csv
ADDED
|
@@ -0,0 +1,21 @@
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|
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|
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|
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|
|
|
|
|
|
| 1 |
+
epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
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| 2 |
+
1,0.5127140687284816,0.6593380218581855,0.4941345289414996,0.4009215338992827,0.13403742015361786,0.5990920380285417
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clip/complex/finetune/seed_42/results/metrics_celeb_df.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
|
| 2 |
+
clip,complex,finetune,42,celeb_df,0.0800333097577095,0.4946512080487626,0.3436293436293436,0.5114942528735632,0.3436293436293436,1.0,0.0,0.7389222661979863
|
clip/complex/finetune/seed_42/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 |
+
clip,complex,finetune,42,celeb_df_video,0.0800333097577095,0.4846662260409782,0.3436293436293436,0.5114942528735632,0.3436293436293436,1.0,0.0,0.0
|
clip/complex/finetune/seed_42/results/metrics_summary.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
|
|
|
|
|
|
|
|
| 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,in_channels,threshold
|
| 2 |
+
0.5734911814979088,0.5734936050697753,0.7289354002640716,0.5908209566963066,0.9999712492213331,3.865879745367388e-05,clip,resnet18,complex,finetune,42,"[42, 123, 2024, 7, 2025]",20,16,4,224,,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,2,0.0800333097577095
|
clip/complex/finetune/seed_42/results/metrics_test.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
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,complex,finetune,42,test,0.0800333097577095,0.5986358062378903,0.5734911814979088,0.5734936050697753,0.9999712492213331,0.7289354002640716,0.5908209566963066,3.865879745367388e-05,104342,77599,3,3
|
clip/complex/finetune/seed_42/results/metrics_test_d.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
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clip,complex,finetune,42,test_d,0.0800333097577095,0.9812637479884752,0.5734966776039176,0.5734951413621774,0.9999904164071111,0.7289417337026571,0.5616519126507808,2.5772531635782584e-05,104344,77600,1,2
|
clip/complex/finetune/seed_42/results/metrics_val.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
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| 2 |
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clip,complex,finetune,42,val,0.0800333097577095,0.6300181718463295,0.5990852520646295,0.5990838762214984,0.9999886726626039,0.7492806885020498,0.5036728722308962,3.385183053773633e-05,88281,59079,1,2
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clip/complex/finetune/seed_42/results/predictions.csv
ADDED
|
The diff for this file is too large to render.
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|
|
|
clip/complex/finetune/seed_42/results/predictions_test.csv
ADDED
|
The diff for this file is too large to render.
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|
|
|
clip/complex/finetune/seed_42/results/predictions_test_d.csv
ADDED
|
The diff for this file is too large to render.
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|
|
|
clip/complex/finetune/seed_42/results/predictions_val.csv
ADDED
|
The diff for this file is too large to render.
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|
|
|
clip/complex/finetune/seed_42/results/run_config.json
ADDED
|
@@ -0,0 +1,46 @@
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|
|
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|
|
|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"allow_pretrained": true,
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
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|
| 9 |
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"early_stop_patience": 8,
|
| 10 |
+
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|
| 11 |
+
"fourier_mode": "complex",
|
| 12 |
+
"hidden_size": 256,
|
| 13 |
+
"image_size": 224,
|
| 14 |
+
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|
| 15 |
+
"label_smoothing": 0.0,
|
| 16 |
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"lr_backbone": 0.0001,
|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"model_family": "clip",
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"patch_size": 16,
|
| 27 |
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"projection_dim": 128,
|
| 28 |
+
"raw_min": false,
|
| 29 |
+
"regime": "finetune",
|
| 30 |
+
"scheduler_patience": 3,
|
| 31 |
+
"seed": 42,
|
| 32 |
+
"seeds": [
|
| 33 |
+
42,
|
| 34 |
+
123,
|
| 35 |
+
2024,
|
| 36 |
+
7,
|
| 37 |
+
2025
|
| 38 |
+
],
|
| 39 |
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"threshold_strategy": "accuracy",
|
| 40 |
+
"train_backbone": true,
|
| 41 |
+
"unfreeze_last_n": 2,
|
| 42 |
+
"use_class_weights": true,
|
| 43 |
+
"use_weighted_sampler": true,
|
| 44 |
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"variant": "large",
|
| 45 |
+
"weight_decay": 0.0001
|
| 46 |
+
}
|
clip/complex/finetune/seed_7/plots/confusion_matrix.png
ADDED
|
clip/complex/finetune/seed_7/results/history.csv
ADDED
|
@@ -0,0 +1,10 @@
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|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch,train_loss,val_loss,val_auc,val_acc,threshold,threshold_score
|
| 2 |
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1,0.5139261885164066,0.6003561178599438,0.49644612923154835,0.4009215338992827,0.21084754168987274,0.5991056099563663
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4,0.5111309958345506,0.6065822264818399,0.4898613872988534,0.4009215338992827,0.16424818336963654,0.5991056099563663
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5,0.5101492256658074,0.6066919003968492,0.49156379929615257,0.4009215338992827,0.16498680412769318,0.5991191818841908
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7,0.4999855035364684,0.6249043361014179,0.48554441125130193,0.40119297245577246,0.0,0.5990784661007172
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| 9 |
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8,0.5022981241261301,0.6100661576557801,0.48882975303163156,0.40143726715661326,0.0,0.5990784661007172
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| 10 |
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9,0.5024142832174963,0.6186582520644578,0.48842902381054637,0.4010708251053521,0.0,0.5990784661007172
|
clip/complex/finetune/seed_7/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
|
| 2 |
+
clip,complex,finetune,7,celeb_df,0.2108475416898727,0.5294637218183152,0.3436293436293436,0.5114942528735632,0.3436293436293436,1.0,0.0,0.683477203987661
|
clip/complex/finetune/seed_7/results/metrics_celeb_df_video.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,auc,acc,f1,precision,recall,specificity,loss
|
| 2 |
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clip,complex,finetune,7,celeb_df_video,0.2108475416898727,0.533030403172505,0.3436293436293436,0.5114942528735632,0.3436293436293436,1.0,0.0,0.0
|
clip/complex/finetune/seed_7/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,in_channels,threshold
|
| 2 |
+
0.5734966776039176,0.5735007970098389,0.7289284778621954,0.5308774968810315,0.9999233312568883,0.00011597639236102162,clip,resnet18,complex,finetune,7,"[42, 123, 2024, 7, 2025]",20,16,4,224,,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,2,0.21084754168987274
|
clip/complex/finetune/seed_7/results/metrics_test.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
model_family,fourier_mode,regime,seed,split,threshold,loss,acc,precision,recall,f1,auc,specificity,tp,fp,fn,tn
|
| 2 |
+
clip,complex,finetune,7,test,0.21084754168987274,0.5945232215504851,0.5734966776039176,0.5735007970098389,0.9999233312568883,0.7289284778621954,0.5308774968810315,0.00011597639236102162,104337,77593,8,9
|
clip/complex/finetune/seed_7/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 |
+
clip,complex,finetune,7,test_d,0.2108475416898727,0.9793733322951645,0.5734856853918998,0.573491260855227,0.9999616656284441,0.7289309604065879,0.5198250314695282,3.865879745367388e-05,104341,77599,4,3
|
clip/complex/finetune/seed_7/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 |
+
clip,complex,finetune,7,val,0.21084754168987274,0.6003561178599438,0.5991056099563663,0.5991135606220008,0.999841417276455,0.7492625619129675,0.49644612923154835,0.00030466647483962697,88268,59063,14,18
|
clip/complex/finetune/seed_7/results/predictions.csv
ADDED
|
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|
|
|
clip/complex/finetune/seed_7/results/predictions_test.csv
ADDED
|
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|
|
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