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Logging results to runs/detect/train5                                                                                                                                                                              
Starting training for 3 epochs...                                                                                                                                                                                  
                                                                                                                                                                                                                   
      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size                                                                                                                                      
        1/3      8.35G     0.9681     0.8524      1.109        449        640: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 533/533 [03:36<00:00,  2.47it/s]                                                                                   
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 267/267 [01:08<00:00,  3.89it/s]                                                                        
                   all       8519     401038       0.87      0.815      0.885      0.635                                                                                                                           
                                                                                                                                                                                                                   
      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size                                                                                                                                      
        2/3      9.16G     0.8795     0.6299      1.058        600        640: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 533/533 [01:36<00:00,  5.54it/s]                                                                                   
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 267/267 [01:08<00:00,  3.90it/s]                                                                        
                   all       8519     401038      0.891      0.845      0.907      0.663                                                                                                                           
                                                                                                                                                                                                                   
      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size                                                                                                                                      
        3/3      10.2G     0.8375     0.5747      1.037        590        640: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 533/533 [01:34<00:00,  5.63it/s]                                                                                   
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 267/267 [02:00<00:00,  2.21it/s]Bn                                                                      
                   all       8519     401038      0.903      0.864      0.923      0.689                                                                                                                           
                                                                                                                                                                                                                   
3 epochs completed in 0.191 hours.                                                                                                                                                                                 
Optimizer stripped from runs/detect/train5/weights/last.pt, 52.0MB                                                                                                                                                 
Optimizer stripped from runs/detect/train5/weights/best.pt, 52.0MB                                                                                                                                                 
                                                                                                                                                                                                                   
Validating runs/detect/train5/weights/best.pt...                                                                                                                                                                   
Ultralytics YOLOv8.0.120 πŸš€ Python-3.9.7 torch-2.0.0+cu118 CUDA:0 (NVIDIA GeForce RTX 3090, 24265MiB)                                                                                                              
Model summary (fused): 218 layers, 25842076 parameters, 0 gradients                                                                                                                                                
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 267/267 [01:56<00:00,  2.29it/s]                                                                        
                   all       8519     401038      0.903      0.864      0.923      0.689                                                                                                                           
                 frame       8519      82124      0.944      0.972      0.989      0.942                                                                                                                           
                  face       8519      87174      0.903       0.77      0.873      0.467                                                                                                                           
                  body       8519     118126      0.852      0.811      0.885      0.642                                                                                                                           
                  text       8519     113614      0.915        0.9      0.944      0.704                                                                                                                           
Speed: 0.1ms preprocess, 2.1ms inference, 0.0ms loss, 0.8ms postprocess per image
Results saved to runs/detect/train5
Ultralytics YOLOv8.0.120 πŸš€ Python-3.9.7 torch-2.0.0+cu118 CUDA:0 (NVIDIA GeForce RTX 3090, 24265MiB)
Model summary (fused): 218 layers, 25842076 parameters, 0 gradients
val: Scanning /media/jongkook90/Morpho DB/dataset-manga109-ko/yolov8-frame/datasets/manga109/labels/train.cache... 8155 images, 364 backgrounds, 0 corrupt: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 8519/8519 [00:00<?, ?it/s]
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95):   0%|          | 2/533 [00:08<43:38,  4.93s/it]WARNING ⚠️ NMS time limit 1.300s exceeded
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95):   1%|          | 3/533 [00:14<47:58,  5.43s/it]WARNING ⚠️ NMS time limit 1.300s exceeded
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 533/533 [02:06<00:00,  4.22it/s]
                   all       8519     401038      0.904      0.861       0.92      0.688
                 frame       8519      82124      0.944      0.969      0.986      0.941
                  face       8519      87174      0.903      0.769       0.87      0.467
                  body       8519     118126      0.852      0.809      0.882      0.641
                  text       8519     113614      0.916      0.897      0.941      0.704
Speed: 0.1ms preprocess, 4.1ms inference, 0.0ms loss, 1.5ms postprocess per image
Results saved to runs/detect/val3